Shagufta Riaz | Engineering | Women Researcher Award

Posted on 07/03/202507/03/2025 by sciencefather

Dr. Shagufta Riaz | Engineering | Women Researcher Award

Dr. Shagufta Riaz, National Textile University, Pakistan

Dr. Shagufta Riaz is an Assistant Professor in the Department of Textile Engineering at National Textile University, Faisalabad, Pakistan. With a Ph.D. in Textile Engineering, she specializes in functional textiles, focusing on the use of nanomaterials for textile development. Dr. Riaz has authored several influential publications and has completed various high-impact research projects. She has worked as a researcher at the Wilson School of Textiles in the USA and is actively involved in advancing textile innovations. A member of prestigious international organizations like the Textile Institute and the Pakistan Engineering Council, Dr. Riaz is committed to sustainable textile solutions.

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Suitability of Dr. Shagufta Riaz for the Research for Women Researcher Award

Dr. Shagufta Riaz is a highly accomplished researcher in textile engineering, specializing in functional textiles and nanotechnology applications. Her extensive academic background, including a Ph.D. in Textile Engineering and international research experience at the Wilson School of Textiles, NCSU, USA, demonstrates her expertise in the field. She has significantly contributed to the advancement of sustainable textile innovations, textile finishing, and the development of nanomaterials for multifunctional textile applications. As an HEC Ph.D. Approved Supervisor and a Fellow of the Textile Institute, UK, she has played a crucial role in mentoring young researchers and advancing academic excellence in textile engineering.

Her research portfolio includes several high-impact projects funded at both national and international levels, focusing on crucial areas such as RF-shielding maternity garments, recycling of cellulosic waste for graphene quantum dots, and sustainable bio-processing in textile manufacturing. Additionally, her collaborations with industry highlight her ability to bridge the gap between academic research and practical industrial applications. Notable projects include the development of antibacterial medical gauze, pesticide-resistant clothing, and UV-shielding protective garments, which showcase her commitment to improving textile functionality for real-world challenges.

🎓 Education

Dr. Shagufta Riaz holds a Ph.D. in Textile Engineering from National Textile University, Faisalabad, Pakistan, where she also completed her M.Sc. in Textile Advanced Materials Engineering and B.Sc. in Textile Engineering with distinctions. She further honed her skills as a researcher at the Wilson School of Textiles, North Carolina State University, USA. This educational foundation, coupled with her hands-on research experience, forms the backbone of her expertise in nanotechnology, textile finishing, and sustainable textile innovations.

💼 Professional Experience

Dr. Shagufta Riaz is an Assistant Professor at National Textile University, Faisalabad. She has led and collaborated on multiple research projects, including those in partnership with international institutions and the textile industry. Her professional experience spans research in textile engineering, focusing on nanomaterials and sustainable solutions. Dr. Riaz has consulted on industry projects to optimize processes in textile production, such as designing protective garments and improving fabric properties. Her role as a Ph.D. supervisor and her recognition as a Fellow of the Textile Institute, UK, highlight her significant contribution to academia and industry.

🏅 Awards and Recognition

Dr. Shagufta Riaz’s academic excellence is evidenced by her recognition as a Fellow of the Textile Institute, UK, and a Lifetime Member of the Pakistan Engineering Council. She has received multiple accolades for her contributions to textile engineering, including a significant number of awards for her research in nanotechnology and textile innovations. Her work, recognized internationally, is reflected in numerous high-impact publications and the completion of major research and consultancy projects in collaboration with the textile industry.

🌍 Research Skills On Engineering

Dr. Riaz is an expert in nanotechnology applications in textile engineering, particularly for the development of multifunctional textiles. Her research focuses on the integration of nanomaterials to enhance textile properties such as antimicrobial, UV resistance, and electrical shielding. She has completed several research projects under government and industry funding, contributing valuable advancements in sustainable textiles, functional finishes, and eco-friendly processes. Dr. Riaz’s skills extend to guiding doctoral research and publishing in prestigious journals, marking her as a leading researcher in textile engineering.

Publication Top Notes

Fabrication of robust multifaceted textiles by application of functionalized TiO₂ nanoparticles
- Authors: S. Riaz, M. Ashraf, T. Hussain, M.T. Hussain, A. Younus
- Citations: 95
- Year: 2019
Functional finishing and coloration of textiles with nanomaterials
- Authors: S. Riaz, M. Ashraf, T. Hussain, M.T. Hussain, A. Rehman, A. Javid, K. Iqbal, …
- Citations: 77
- Year: 2018
Modification of silica nanoparticles to develop highly durable superhydrophobic and antibacterial cotton fabrics
- Authors: S. Riaz, M. Ashraf, T. Hussain, M.T. Hussain
- Citations: 58
- Year: 2019
Electrospun nanofiber-based viroblock/ZnO/PAN hybrid antiviral nanocomposite for personal protective applications
- Authors: A. Salam, T. Hassan, T. Jabri, S. Riaz, A. Khan, K.M. Iqbal, S. Khan, M. Wasim, …
- Citations: 41
- Year: 2021
Cationization of TiO₂ nanoparticles to develop highly durable multifunctional cotton fabric
- Authors: S. Riaz, M. Ashraf, H. Aziz, A. Younus, M. Umair, A. Salam, K. Iqbal, …
- Citations: 31
- Year: 2022
Layer by layer deposition of PEDOT, silver and copper to develop durable, flexible, and EMI shielding and antibacterial textiles
- Authors: S. Riaz, S. Naz, A. Younus, A. Javid, S. Akram, A. Nosheen, M. Ashraf
- Citations: 26
- Year: 2022
Multifunctional formaldehyde-free finishing of cotton by using metal oxide nanoparticles and eco-friendly cross-linkers
- Authors: N. Sarwar, M. Ashraf, M. Mohsin, A. Rehman, A. Younus, A. Javid, K. Iqbal, …
- Citations: 24
- Year: 2019
In situ development and application of natural coatings on non-absorbable sutures to reduce incision site infections
- Authors: R. Masood, T. Hussain, M. Umar, Azeemullah, T. Areeb, S. Riaz
- Citations: 21
- Year: 2017
Selection and Optimization of Silane Coupling Agents to Develop Durable Functional Cotton Fabrics Using TiO₂ Nanoparticles
- Authors: S. Riaz, M. Ashraf, T. Hussain, M.T. Hussain, A. Younus, M. Raza, A. Nosheen
- Citations: 20
- Year: 2021
Simultaneous fixation of wrinkle-free finish and reactive dye on cotton using response surface methodology
- Authors: S. Abid, T. Hussain, A. Nazir, Z.A. Raza, A. Siddique, A. Azeem, S. Riaz
- Citations: 16
- Year: 2018

Naveed Ahmed | Engineering | Academic Excellence Award

Posted on 28/02/202528/02/2025 by sciencefather

Assoc. Prof. Dr. Naveed Ahmed | Engineering | Academic Excellence Award

Assoc. Prof. Dr. Naveed Ahmed, Al Yamamah University, Saudi Arabia

Dr. Naveed Ahmed is an accomplished researcher and academician specializing in manufacturing and industrial engineering. He holds a PhD in Manufacturing Systems from King Saud University, Saudi Arabia, complemented by a Master’s degree in Manufacturing Engineering and a Bachelor’s degree in Industrial and Manufacturing Engineering from the University of Engineering and Technology, Lahore, Pakistan. Currently serving as an Associate Professor and Chairman of the Industrial Engineering Department at Al Yamamah University, Riyadh, he has significantly contributed to micro-manufacturing, nano-materials synthesis, and non-conventional machining processes. With over 80 high-impact research publications and a book published by Springer, Dr. Naveed has garnered global recognition, including the prestigious King Saud University Award for Scientific Excellence and Saudi Arabia’s Special Talent Premium Residency in 2024. His dedication to research and education continues to shape advancements in manufacturing and materials engineering.

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Summary of Suitability for the Research for Academic Excellence Award

Dr. Naveed Ahmed’s exceptional academic achievements and significant contributions to research make him highly suitable for the Research for Academic Excellence Award. Holding a PhD in Manufacturing Systems from King Saud University, Saudi Arabia, along with a Master’s degree in Manufacturing Engineering and an undergraduate degree in Industrial and Manufacturing Engineering, Dr. Ahmed has a robust academic foundation. His research interests span across a variety of cutting-edge fields, including micro-manufacturing, non-conventional machining, laser ablation, and electron beam melting, among others.

Dr. Ahmed has published over 80 research papers in prestigious ISI journals, with a total impact factor surpassing 230. His research contributions are notable not only for their technical depth but also for their practical applications in industries such as aerospace, biomedical implants, and manufacturing. His work is regularly cited, demonstrating the long-term impact of his research in the academic and industrial communities. Moreover, his research has garnered numerous accolades, including the King Saud University Award for Scientific Excellence in 2017 and the Special Talent Premium Residency in Saudi Arabia in 2024, reinforcing his standing as an influential figure in his field.

🎓 Education

Dr. Naveed Ahmed’s educational journey is rooted in excellence in manufacturing and industrial engineering. He earned his PhD in Industrial Engineering (Manufacturing Systems) from King Saud University, Saudi Arabia (2012–2016), focusing on micro-machining and laser processing of aerospace materials. His Master’s degree in Manufacturing Engineering (2007–2009) from the University of Engineering and Technology (UET), Lahore, Pakistan, provided him with in-depth knowledge of non-conventional machining processes. Prior to that, he completed his Bachelor’s in Industrial and Manufacturing Engineering (2003–2006) from UET Lahore, where he graduated with distinction, securing third position in his class. Throughout his academic tenure, he received multiple scholarships and honors, including a fully funded PhD scholarship from King Saud University. His robust educational foundation has enabled him to excel in research and academia, driving innovations in advanced manufacturing techniques and materials engineering.

💼 Professional Experience

Dr. Naveed Ahmed has extensive academic and research experience in manufacturing and industrial engineering. Since 2020, he has been the Chairman of the Industrial Engineering Department at Al Yamamah University, Riyadh, Saudi Arabia, where he also serves as an Associate Professor. Previously, he was an Assistant Professor at the same institution (2020–2021) and at the University of Engineering and Technology, Lahore, Pakistan (2017–2020). His research career began as a researcher at the Advanced Manufacturing Institute, King Saud University (2010–2017), where he contributed to pioneering research in micro-machining and nano-scale surface modifications. He also worked as a Lecturer at UET Lahore from 2007 to 2010. Over the years, he has supervised graduate students, developed engineering curricula, and engaged in industry collaborations, enhancing the field of advanced manufacturing through education and applied research.

🏅 Awards and Recognition

Dr. Naveed Ahmed’s contributions to engineering and research have been widely recognized. In 2024, he was awarded the Premium Residency of Saudi Arabia under the Special Talent category. He received the King Saud University Award for Scientific Excellence in 2017 and multiple research excellence awards from the College of Engineering at King Saud University. He played a key role in obtaining ABET accreditation for the Industrial Engineering Program at Al Yamamah University. His research achievements earned him “Key Scientific Article” certificates from Advances in Engineering (AIE), Ottawa, Canada, for publications on laser machining. Additionally, he secured fully funded PhD and MSc scholarships, ranked third in his undergraduate program, and won first prize in a national painting and photography competition. His accolades reflect his outstanding contributions to academia, research, and professional development in industrial and manufacturing engineering.

🌍 Research Skills On Engineering

Dr. Naveed Ahmed’s research expertise spans a wide range of advanced manufacturing and engineering fields. His key research skills include micro-manufacturing (micro-heat exchangers, micro-molding, micro-channels), laser ablation, ultrasonic milling, and electron beam melting (ARCAM). He has extensive experience in the synthesis of nanoparticles, under-fluid laser processing, and micro/nano-scale surface modifications. His work in non-conventional machining processes, such as electric discharge machining and wire-cut machining, has led to significant advancements in precision engineering. He is also proficient in materials engineering, human factors, ergonomics, and operations research. Dr. Naveed has successfully led and supervised multiple research projects, published over 80 high-impact journal papers, and contributed to industry advancements in biomedical implants and advanced machining techniques. His interdisciplinary research skills make him a leader in the field of industrial and manufacturing engineering.

Publication Top Notes

Direct metal fabrication in rapid prototyping: A review
- Authors: N Ahmed
- Citation: 133
- Year: 2019
Laser ablation and laser-hybrid ablation processes: a review
- Authors: N Ahmed, S Darwish, AM Alahmari
- Citation: 132
- Year: 2016
Recent advances in the machining of titanium alloys using minimum quantity lubrication (MQL) based techniques
- Authors: S Pervaiz, S Anwar, I Qureshi, N Ahmed
- Citation: 127
- Year: 2019
Machinability of titanium alloy through electric discharge machining
- Authors: N Ahmed, K Ishfaq, K Moiduddin, R Ali, N Al-Shammary
- Citation: 88
- Year: 2019
On the investigation of surface integrity of Ti6Al4V ELI using Si-mixed electric discharge machining
- Authors: M Umar Farooq, M Pervez Mughal, N Ahmed, N Ahmad Mufti, …
- Citation: 81
- Year: 2020
Curved profiles machining of Ti6Al4V alloy through WEDM: investigations on geometrical errors
- Authors: MU Farooq, MA Ali, Y He, AM Khan, CI Pruncu, M Kashif, N Ahmed, N Asif
- Citation: 77
- Year: 2020
EDM of Ti-6Al-4V: Electrode and polarity selection for minimum tool wear rate and overcut
- Authors: N Ahmed, K Ishfaq, M Rafaqat, S Pervaiz, S Anwar, B Salah
- Citation: 73
- Year: 2019
The potentiality of sinking EDM for micro-impressions on Ti-6Al-4V: keeping the geometrical errors (axial and radial) and other machining measures (tool erosion and work …
- Authors: N Ahmed, S Anwar, K Ishfaq, M Rafaqat, M Saleh, S Ahmad
- Citation: 51
- Year: 2019
Electron beam melting of titanium alloy and surface finish improvement through rotary ultrasonic machining
- Authors: N Ahmed, BM Abdo, S Darwish, K Moiduddin, S Pervaiz, AM Alahmari, …
- Citation: 49
- Year: 2017
Abrasive waterjet cutting of cladded material: Kerf taper and MRR analysis
- Authors: K Ishfaq, N Ahmad Mufti, N Ahmed, S Pervaiz
- Citation: 48
- Year: 2019

Sergio Armando Barbosa | Engineering | Best Researcher Award

Posted on 24/02/202525/02/2025 by sciencefather

Dr. Sergio Armando Barbosa | Engineering | Best Researcher Award

Dr. Sergio Armando Barbosa, University of Virginia, United States

Sergio Armando Barbosa Casas is a dedicated hydrologist and civil engineer with a strong background in groundwater modeling, hydrodynamics, and environmental sustainability. He holds a Ph.D. in Civil Engineering from Brigham Young University and currently serves as a Postdoctoral Research Associate at the University of Virginia. His research focuses on assessing flooding impacts, coastal sustainability, and groundwater resource management using Earth observations and advanced modeling techniques. With over a decade of experience, he has worked with institutions such as IDEAM, CAR, and Aquaveo, contributing to hydrological forecasting, river basin assessments, and flood risk analysis. His work has been published in high-impact journals, and he has presented at global conferences. Fluent in English and Spanish, he actively collaborates with interdisciplinary teams to address climate resilience and water resource challenges. His contributions to academia and research continue to advance sustainable solutions for environmental and hydrological challenges.

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Suitability for the “Research for Best Researcher Award” – Sergio Armando Barbosa Casas

Dr. Sergio Armando Barbosa Casas is an exceptionally qualified candidate for the Research for Best Researcher Award, given his extensive contributions to hydrology, groundwater modeling, and urban flood risk assessment. His research has significantly advanced the understanding of groundwater resource assessment, particularly in West Africa, through Earth observations and modeling. His Ph.D. dissertation at Brigham Young University was a groundbreaking study on groundwater resource assessment, a critical topic for sustainable water management.

Currently serving as a Postdoctoral Research Associate at the University of Virginia, Dr. Barbosa is involved in interdisciplinary research on coastal and urban flooding vulnerabilities, sustainability, and salt intrusion in aquifers. His collaboration with government agencies and stakeholders to develop informed decision-making processes for groundwater management highlights his real-world impact. His prior experience as a hydrologist at IDEAM (Colombian Institute of Hydrology, Meteorology, and Environmental Studies) and a design engineer at CAR (Regional Autonomous Corporation) further demonstrate his expertise in hydrological modeling, flood risk assessment, and environmental sustainability.

🎓 Education

Sergio A. Barbosa Casas earned his Ph.D. in Civil Engineering from Brigham Young University in 2023, where he conducted groundbreaking research on groundwater resource assessment in West Africa using Earth observations and numerical modeling. His dissertation explored the impact of climate change and human activities on groundwater storage and recharge, providing valuable insights into water management strategies for arid regions. Prior to this, he obtained an M.S. in Civil Engineering from the National University of Colombia in 2014, focusing on water resource management and hydrological modeling. His academic journey began with a B.S. in Agricultural Engineering from the same institution in 2009, where he developed expertise in hydraulic systems and watershed management. Throughout his studies, he actively engaged in research projects, collaborated with international teams, and contributed to policy recommendations. His diverse educational background has equipped him with a solid foundation in hydrology, climate resilience, and engineering solutions.

💼 Professional Experience

Sergio A. Barbosa Casas has amassed extensive experience in hydrology, groundwater modeling, and environmental engineering. Currently, he is a Postdoctoral Research Associate at the University of Virginia, where he leads research on flooding impacts, coastal resilience, and sustainability. Previously, he was a Research Assistant at Brigham Young University, where he developed groundwater models for major aquifers in West Africa, utilizing remote sensing and field data. His industry experience includes working as an Engineering Intern at Aquaveo, where he created 3D groundwater simulations. Additionally, he served as a Hydrologist at IDEAM in Colombia, leading hydrological forecasting and flood risk assessments. As a Design Engineer at CAR, he developed dynamic models to evaluate water quality in the Bogotá River. His expertise spans across academia, government agencies, and private sectors, making him a well-rounded professional in water resource engineering, flood modeling, and climate adaptation strategies.

🏅 Awards and Recognition

Sergio A. Barbosa Casas has received numerous awards and grants for his contributions to hydrology and environmental engineering. He was awarded the Climate Fellows Postdoctoral Program Fellowship at the University of Virginia in 2024. During his Ph.D., he secured the Civil & Construction Engineering Scholarship Society Award (2019-2022). His research excellence earned him the Bill Stolte Best Student Paper Award at the Canadian Water Resources Association National Conference in 2022. Additionally, he has contributed to prestigious projects funded by the National Science Foundation (NSF), with grants exceeding $5 million. His involvement in the NASA/USAID Research Grant on sustainable groundwater management in West Africa further highlights his global impact. Recognized for his interdisciplinary approach and innovative methodologies, his work continues to shape water resource sustainability and climate resilience. His expertise is sought after in academic and professional circles worldwide.

🌍 Research Skills On Engineering

Sergio A. Barbosa Casas is an expert in hydrological modeling, groundwater resource management, and climate resilience. His research integrates Earth observations, GIS, and remote sensing with hydrodynamic and groundwater modeling tools such as MODFLOW, HEC-RAS, and TUFLOW. He specializes in analyzing flood risks, coastal vulnerabilities, and sustainable water management strategies. His technical skills include numerical simulations, Python programming, and machine learning applications in hydrology. He has worked extensively with stakeholders, translating complex hydrological data into actionable policies. His work on urban flooding, saltwater intrusion, and groundwater sustainability has been published in high-impact journals and presented at global conferences. With a keen interest in data-driven solutions for climate adaptation, he collaborates across disciplines to develop innovative approaches for managing water resources in changing environments. His research continues to influence sustainable development, providing practical solutions for water security challenges.

Publication Top Notes

Deep learning-based downscaling of global digital elevation models for enhanced urban flood modeling
- Author(s): Zanko Zandsalimi, Sergio A. Barbosa, Negin Alemazkoor, Jonathan L. Goodall, Majid Shafiee-Jood
- Citation: Journal of Hydrology, 2025-06
- DOI: 10.1016/j.jhydrol.2025.132687
- Year: 2025
Exploring infiltration effects on coastal urban flooding: Insights from nuisance to extreme events using 2D/1D hydrodynamic modeling and crowdsourced flood reports
- Author(s): Sergio A. Barbosa, Yidi Wang, Jonathan L. Goodall
- Citation: Science of The Total Environment, 2025-03
- DOI: 10.1016/j.scitotenv.2025.178908
- Year: 2025
Exploiting Earth Observations to Enable Groundwater Modeling in the Data-Sparse Region of Goulbi Maradi, Niger
- Author(s): Sergio A. Barbosa, Norman L. Jones, Gustavious P. Williams, Bako Mamane, Jamila Begou, E. James Nelson, Daniel P. Ames
- Citation: Remote Sensing, 2023-11-01
- DOI: 10.3390/rs15215199
- Year: 2023
Exploiting Earth Observations to Enable Groundwater Modeling in the Data-Sparse Region of Goulbi Maradi, Niger (Preprint)
- Author(s): Sergio A. Barbosa, Norman L. Jones, Gustavious P. Williams, Bako Mamane, Jamila Begou, E. James Nelson, Daniel P. Ames
- Citation: Preprint, 2023-08-30
- DOI: 10.20944/preprints202308.2021.v1
- Year: 2023
Correction: Barbosa et al. Evaluating Groundwater Storage Change and Recharge Using GRACE Data: A Case Study of Aquifers in Niger, West Africa. Remote Sens. 2022, 14, 1532
- Author(s): Sergio A. Barbosa, Sarva T. Pulla, Gustavious P. Williams, Norman L. Jones, Bako Mamane, Jorge L. Sanchez
- Citation: Remote Sensing, 2023-03-03
- DOI: 10.3390/rs15051435
- Year: 2023

Eirini Eleni Tsiropoulou | Engineering | Best Researcher Award

Posted on 17/02/202517/02/2025 by sciencefather

Assoc. Prof. Dr. Eirini Eleni Tsiropoulou | Engineering | Best Researcher Award

Assoc. Prof. Dr. Eirini Eleni Tsiropoulou, Arizona State University, United States

Dr. Eirini Eleni Tsiropoulou is a tenured Associate Professor at the School of Electricahttps://academicexcellenceawards.com/eirini-eleni-tsiropoulou-engineering-best-researcher-award-2472/engil, Computer, and Energy Engineering at Arizona State University. Born in Athens, Greece, she is a U.S. lawful permanent resident fluent in Greek, English, and German. With expertise in game theory, reinforcement learning, distributed decision-making, and artificial intelligence-driven cyber-physical systems, Dr. Tsiropoulou has significantly contributed to optimizing dynamic systems under uncertainty. Her research focuses on resource orchestration in constrained environments and control of interdependent systems. Before joining Arizona State University, she held academic and research positions at the University of New Mexico, the University of Maryland, and the University of Texas at Dallas. She has been recognized globally for her contributions to engineering, including prestigious awards for research excellence, outstanding reviewing, and best paper distinctions. As a leader in her field, she serves on various IEEE committees and continues to shape the future of smart and adaptive systems.

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Suitability of Dr. Eirini Eleni Tsiropoulou for the Research for Best Researcher Award

Dr. Eirini Eleni Tsiropoulou is a distinguished researcher in Electrical, Computer, and Energy Engineering, currently serving as an Associate Professor with tenure at Arizona State University. Her research focuses on game theory, reinforcement learning, distributed decision-making, and optimization in dynamic systems, demonstrating a strong interdisciplinary approach to complex problem-solving. Her extensive professional experience across prestigious institutions—including the University of New Mexico, Sandia National Laboratories, and the University of Maryland—underscores her leadership in academia and applied research.

Her impressive record of accolades highlights her significant contributions to the field. She has received numerous awards for research excellence, including the IEEE Early Career Award, multiple Best Paper Awards, and the NSF CRII Award, which showcases her ability to secure competitive funding. Furthermore, her recognition as an IEEE Senior Member and her leadership in various IEEE conferences and technical committees reinforce her impact on the global research community.

🎓 Education

Dr. Eirini Eleni Tsiropoulou holds a Ph.D. in Electrical and Computer Engineering from the National Technical University of Athens (NTUA), where she specialized in optimal resource allocation in next-generation wireless networks. She also earned an MBA in Project Management from NTUA, ranking in the top 1% of her class. Her MBA thesis focused on emissions analysis in power sectors through mathematical modeling. Additionally, she holds a five-year Diploma in Electrical and Computer Engineering from NTUA, again ranking among the top 1% of her class. Her diploma thesis explored game-theoretic approaches to power control in CDMA networks. Through her rigorous academic training, Dr. Tsiropoulou developed a strong foundation in systems optimization, distributed algorithms, and network management, setting the stage for her impactful research career. Her interdisciplinary education blends engineering excellence with strategic project management, equipping her to address complex challenges in modern technological systems.

💼 Professional Experience

Dr. Tsiropoulou is currently an Associate Professor with Tenure at Arizona State University. Previously, she held the same role at the University of New Mexico (UNM). She also served as a PO Contractor at Sandia National Laboratories, contributing to high-impact national security projects. Earlier, she worked as an Assistant Professor at UNM, a Postdoctoral Associate at the University of Maryland and the University of Texas at Dallas, and a Research Fellow at NTUA. Her career spans academia, research, and collaboration with industry and government agencies. She has led multiple NSF-funded projects and guided students in cutting-edge research. Her expertise in reinforcement learning, cyber-physical systems, and optimization has led to transformative advancements in wireless networks and intelligent systems. She actively contributes to IEEE conferences and editorial boards, shaping the future of network science and engineering through interdisciplinary innovation and leadership.

🏅 Awards & Recognition

Dr. Tsiropoulou has received numerous prestigious awards for her contributions to engineering. She was honored as an Excellent Reviewer by IEEE Transactions on Network Science and Engineering (2024) and the IEEE OJCOMS (2024). She won the Best Paper Runner-up Award from IEEE Transactions on Mobile Computing (2023) and received the Research and Creative Works Leader Award at UNM (2023). Recognized for excellence in education, she earned the IEEE Albuquerque Section’s Outstanding Engineering Educator Award (2021). Her research contributions were acknowledged with the IEEE Communications Society Early Career Award (2020) and multiple Best Paper Awards at top-tier conferences like INFOCOM and BRAINS. She was named an IEEE Senior Member (2021) and served on elite IEEE technical committees. Before joining UNM, she received the N2 Women Rising Stars in Networking and Communications Award (2017). Her accolades underscore her leadership and innovative contributions to engineering and academia.

🌍 Research Skills On Engineering

Dr. Tsiropoulou’s research expertise spans game theory, reinforcement learning, optimization of dynamic systems, and distributed decision-making. She specializes in designing adaptive cyber-physical systems for resource-constrained environments, ensuring efficiency in networked infrastructures. Her work integrates stochastic modeling and artificial intelligence to tackle real-world engineering problems. She has made significant contributions to network resource orchestration, security, and autonomous systems control. A key aspect of her research is the application of software-defined networking and AI-driven optimization in complex, uncertain environments. Her interdisciplinary approach enables the development of robust, intelligent frameworks for next-generation wireless networks and smart infrastructures. She has successfully led multiple NSF-funded research projects, collaborating with academia and industry. As an editorial board member for top IEEE journals, she advances knowledge in network science and engineering. Her pioneering research continues to drive innovation in computational intelligence, cybersecurity, and real-time system optimization.

Publication Top Notes

Data offloading in UAV-assisted multi-access edge computing systems under resource uncertainty
Authors: PA Apostolopoulos, G Fragkos, EE Tsiropoulou, S Papavassiliou
Citation: 170
Year: 2021
Journal: IEEE Transactions on Mobile Computing 22 (1), 175-190
Game theory for wireless communications and networking
Authors: Y Zhang, M Guizani
Citation: 162
Year: 2011
Publisher: CRC Press
Risk-aware data offloading in multi-server multi-access edge computing environment
Authors: PA Apostolopoulos, EE Tsiropoulou, S Papavassiliou
Citation: 161
Year: 2020
Journal: IEEE/ACM Transactions on Networking 28 (3), 1405-1418
Machine learning and intelligent communications
Authors: XL Huang, X Ma, F Hu
Citation: 145
Year: 2018
Journal: Mobile Networks and Applications 23, 68-70
Interest, energy and physical-aware coalition formation and resource allocation in smart IoT applications
Authors: EE Tsiropoulou, ST Paruchuri, JS Baras
Citation: 141
Year: 2017
Conference: 51st Annual Conference on Information Sciences and Systems (CISS), 1-6
Wireless powered public safety IoT: A UAV-assisted adaptive-learning approach towards energy efficiency
Authors: D Sikeridis, EE Tsiropoulou, M Devetsikiotis, S Papavassiliou
Citation: 115
Year: 2018
Journal: Journal of Network and Computer Applications 123, 69-79
Resource Allocation in Next-Generation Broadband Wireless Access Networks
Authors: C Singhal, S De
Citation: 115
Year: 2017
Publisher: IGI Global
Interest-aware energy collection & resource management in machine to machine communications
Authors: EE Tsiropoulou, G Mitsis, S Papavassiliou
Citation: 111
Year: 2018
Journal: Ad Hoc Networks 68, 48-57
Big data in complex and social networks
Authors: MT Thai, W Wu, H Xiong
Citation: 110
Year: 2016
Publisher: CRC Press
Price and risk awareness for data offloading decision-making in edge computing systems
Authors: G Mitsis, EE Tsiropoulou, S Papavassiliou
Citation: 103
Year: 2022
Journal: IEEE Systems Journal 16 (4), 6546-6557

Farzad Pashmforoush | Engineering | Best Researcher Award

Posted on 12/02/202512/02/2025 by sciencefather

Assoc. Prof. Dr. Farzad Pashmforoush | Engineering | Best Researcher Award

Assoc. Prof. Dr. Farzad Pashmforoush, University of Maragheh, Iran

Farzad Pashmforoush is a distinguished Associate Professor at the University of Maragheh, specializing in Mechanical Engineering. Born on July 31, 1987, he has dedicated his career to advancing research in composite materials, artificial intelligence, finite element methods, and non-destructive testing. His academic journey began at the University of Tabriz, where he ranked first in his Bachelor’s program. He continued his education at Amirkabir University of Technology, earning both his Master’s and PhD with exceptional grades. Dr. Pashmforoush’s contributions to the field are reflected in his extensive research on damage identification in composite structures, optimization techniques, and material characterization. With numerous high-impact publications, citations, and an h-index of 9, his work has influenced academia and industry alike. His passion for innovation and excellence has earned him significant recognition, making him a leading figure in mechanical engineering research.

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Suitability for the Research for Best Researcher Award – Farzad Pashmforoush

Dr. Farzad Pashmforoush is a distinguished researcher and academic with a strong background in mechanical engineering, particularly in areas such as composite materials, finite element method (FEM), artificial intelligence, fracture mechanics, and non-destructive testing (NDT). His academic journey reflects excellence at every level, securing top ranks during his Bachelor’s and Master’s degrees, followed by a high distinction PhD from Amirkabir University of Technology. His doctoral work on the numerical-experimental study of magnetic abrasive finishing of optical glass showcases innovative problem-solving abilities and a commitment to advancing material science and manufacturing techniques.

His research contributions are extensive and impactful, as evidenced by 26 high-quality journal publications in esteemed journals, over 400 citations, and an h-index of 9 on Google Scholar. His works span damage characterization in composite materials, deep learning for autonomous damage recognition, optimization techniques, and multiphysics simulations, demonstrating a multidisciplinary approach to mechanical engineering. Additionally, his application of artificial intelligence in non-destructive evaluation and advanced material testing methods showcases his ability to integrate cutting-edge technology into engineering research.

🎓 Education

Farzad Pashmforoush’s academic journey began at the University of Tabriz, where he completed his Bachelor of Science in Mechanical Engineering in 2009, ranking first with a grade of 18.86. He continued his education at Amirkabir University of Technology, earning a Master of Science in 2011, with a thesis on damage modes in composite materials, also achieving first rank. He further advanced his studies, obtaining a Ph.D. in Mechanical Engineering from the same university in 2015. His doctoral thesis focused on numerical-experimental studies of magnetic abrasive finishing of optical glass. Throughout his academic career, Farzad maintained an outstanding academic performance, receiving top grades and contributing to innovative research. His advanced training and in-depth knowledge of mechanical engineering have set the foundation for a successful academic and research career.

💼 Professional Experience

Farzad Pashmforoush has had a distinguished academic career, with extensive experience as an Associate Professor in Mechanical Engineering at the University of Maragheh. He has taught and mentored students in advanced topics such as composite materials, non-destructive testing, and fracture mechanics. His research focuses on finite element methods, artificial intelligence applications in engineering, and composite material behavior. Farzad has also collaborated with international institutions on projects involving acoustic emission techniques for damage detection in composites and the optimization of manufacturing processes. His expertise in experimental mechanics, data analysis, and numerical modeling has resulted in numerous high-impact publications. As an educator and researcher, he is dedicated to advancing engineering technology while fostering the next generation of engineers through innovative teaching and research initiatives.

🏅 Awards and Recognition

Farzad Pashmforoush has received numerous accolades throughout his career for his outstanding contributions to mechanical engineering. He was recognized as a top graduate in both his undergraduate and graduate studies, receiving the first-rank distinction at both the University of Tabriz and Amirkabir University of Technology. His research on composite materials, non-destructive testing, and fracture mechanics has earned him high citation counts and recognition from peers in the academic community. Additionally, Farzad has been acknowledged for his role in advancing mechanical engineering research and education, earning grants and research funding for innovative projects. His excellence in teaching and research, along with his impactful publications, continues to shape the future of engineering education and practice.

🌍 Research Skills On Engineering

Farzad Pashmforoush possesses a broad range of research skills, making him a leading expert in his field. His proficiency in finite element methods (FEM) allows him to model and analyze complex engineering problems, particularly in the areas of composite materials and structural analysis. Farzad’s research integrates artificial intelligence techniques, such as deep learning, to enhance the evaluation and optimization of engineering processes. His extensive use of non-destructive testing (NDT) methods, particularly acoustic emission, enables him to study material behavior and detect damage in real-time. In addition, his expertise in fracture mechanics and damage detection provides valuable insights into the durability and performance of materials. Farzad’s approach combines theoretical analysis with experimental validation, ensuring the practical application of his research in industry. His innovative use of advanced technologies and methodologies has garnered widespread recognition in the engineering community.

Publication Top Notes

“Autonomous damage recognition in visual inspection of laminated composite structures using deep learning”
- Authors: S. Fotouhi, F. Pashmforoush, M. Bodaghi, M. Fotouhi
- Journal: Composite Structures
- Citation: 87
- Year: 2021
“Characterization of composite materials damage under quasi-static three-point bending test using wavelet and fuzzy C-means clustering”
- Authors: M. Fotouhi, H. Heidary, M. Ahmadi, F. Pashmforoush
- Journal: Journal of Composite Materials
- Citation: 86
- Year: 2012
“Damage classification of sandwich composites using acoustic emission technique and k-means genetic algorithm”
- Authors: F. Pashmforoush, R. Khamedi, M. Fotouhi, M. Hajikhani, M. Ahmadi
- Journal: Journal of Nondestructive Evaluation
- Citation: 83
- Year: 2014
“Acoustic emission-based damage classification of glass/polyester composites using harmony search k-means algorithm”
- Authors: F. Pashmforoush, M. Fotouhi, M. Ahmadi
- Journal: Journal of Reinforced Plastics and Composites
- Citation: 72
- Year: 2012
“Damage characterization of glass/epoxy composite under three-point bending test using acoustic emission technique”
- Authors: F. Pashmforoush, M. Fotouhi, M. Ahmadi
- Journal: Journal of Materials Engineering and Performance
- Citation: 66
- Year: 2012
“Influence of water-based copper nanofluid on wheel loading and surface roughness during grinding of Inconel 738 superalloy”
- Authors: F. Pashmforoush, R. D. Bagherinia
- Journal: Journal of Cleaner Production
- Citation: 64
- Year: 2018
“Monitoring the initiation and growth of delamination in composite materials using acoustic emission under quasi-static three-point bending test”
- Authors: M. Fotouhi, F. Pashmforoush, M. Ahmadi, A. Refahi Oskouei
- Journal: Journal of Reinforced Plastics and Composites
- Citation: 64
- Year: 2011
“Statistical analysis on free vibration behavior of functionally graded nanocomposite plates reinforced by graphene platelets”
- Authors: F. Pashmforoush
- Journal: Composite Structures
- Citation: 48
- Year: 2019
“Nano-finishing of BK7 optical glass using magnetic abrasive finishing process”
- Authors: F. Pashmforoush, A. Rahimi
- Journal: Applied Optics
- Citation: 42
- Year: 2015
“Interfacial characteristics and thermo-mechanical properties of calcium carbonate/polystyrene nanocomposite”
- Authors: F. Pashmforoush, S. Ajori, H. R. Azimi
- Journal: Materials Chemistry and Physics
- Citation: 27
- Year: 2020

Prabhat Patel | Engineering | Best Researcher Award

Posted on 04/02/202504/02/2025 by sciencefather

Dr. Prabhat Patel | Engineering | Best Researcher Award

Dr. Prabhat Patel, Harbin Institute of Technology Shenzhen, China, India

Dr. Prabhat Kumar Patel is a dedicated researcher and Postdoctoral Fellow at the School of Science, Harbin Institute of Technology, Shenzhen, China. With a strong background in Environmental and Civil Engineering, he specializes in water and wastewater treatment, biopolymer synthesis, and heavy metal remediation. Holding a Ph.D. from IIT Guwahati, he has contributed significantly to the field through numerous high-impact publications and international collaborations. Dr. Patel has also mentored graduate students, guiding them in research projects related to urban wastewater recycling, pollutant adsorption, and sustainable environmental practices. His expertise extends to machine learning applications for air quality prediction. Recognized for his innovative approach, Dr. Patel has received accolades for his research contributions. His professional journey is driven by a passion for sustainable solutions to environmental challenges, making him a prominent figure in the field of environmental engineering and advanced material science.

Professional Profile

Google Scholar

Suitability of Summary for Best Researcher Awards

Dr. Prabhat Kumar Patel is a strong candidate for the Research for Best Researcher Award based on his extensive research contributions, mentoring experience, and academic credentials. His expertise in environmental engineering, particularly in water and wastewater treatment, bio-polymer derivatives, and heavy metal remediation, is evident from his doctoral research and numerous publications in high-impact journals. His ongoing postdoctoral research at Harbin Institute of Technology further solidifies his commitment to advancing environmental science.

His publication record demonstrates a strong research impact, with multiple articles indexed in Science Citation Index Expanded (SCIE) and Scopus. His studies focus on adsorption-based removal of pollutants, an area of growing global importance. The high number of citations, H-index, and i10-index indicate his research’s influence in the field. Additionally, his active participation in conferences, editorial roles, and contributions to book chapters further emphasize his dedication to knowledge dissemination.

🎓 Education

Dr. Prabhat Kumar Patel has a distinguished academic background in environmental and civil engineering. He is currently pursuing a Postdoctoral Fellowship at Harbin Institute of Technology, Shenzhen, China. He earned his Ph.D. in Environmental Science from the Indian Institute of Technology Guwahati in 2023, focusing on bio-polymer derivatives for wastewater treatment. Prior to that, he completed his M.Tech in Environmental Engineering from Motilal Nehru National Institute of Technology (MNNIT), Allahabad, in 2017 with an impressive CGPA of 8.65. His academic journey began with a B.Tech in Civil Engineering from Noida Institute of Engineering and Technology, where he graduated with 81.2% in 2014. His strong foundation in science and engineering was established through his Higher Secondary (65%) and Secondary (78.6%) education under the Uttar Pradesh Board. His academic credentials reflect his commitment to sustainable environmental research and technological advancements.

💼 Professional Experience

Dr. Prabhat Kumar Patel has extensive experience in both academia and research. He served as an Assistant Professor at the Institute of Engineering and Technology, Lucknow, from August 2023 to July 2024. Previously, he was a Guest Lecturer at the same institute in 2018. As a Teaching Assistant during his Ph.D., he contributed to courses on Environmental Engineering, Air Pollution, and Solid Waste Management. He has also been an active student mentor under the Rashtriya Avishkar Abhiyan, guiding students in environmental research projects. Additionally, Dr. Patel has editorial experience, having assisted in publishing books on biodiversity conservation and agro-processing technologies. His work involves coordinating online classes, organizing workshops, and mentoring students on projects related to wastewater treatment, adsorption techniques, and sustainability. His role in research and education highlights his dedication to advancing environmental engineering solutions.

🏅 Awards and Recognition

Dr. Prabhat Kumar Patel has received numerous accolades for his contributions to environmental science and engineering. His research on chitosan-based adsorbents for wastewater treatment has earned recognition in high-impact journals. He was awarded research fellowships and travel grants for presenting his work at international conferences. He has been recognized by institutions such as IIT Guwahati and MNNIT Allahabad for his excellence in environmental engineering research. His mentorship of students in sustainable water treatment projects has also been acknowledged. Additionally, Dr. Patel has contributed as an editorial assistant to scientific publications on biodiversity and food processing. His contributions to the field, including innovative applications of machine learning in air quality prediction, have been cited extensively. His growing citation indices (H-index: 6, i10-index: 6) reflect his research impact, making him a notable figure in the domain of sustainable environmental engineering.

🌍 Research Skills On Engineering

Dr. Prabhat Kumar Patel possesses a diverse range of research skills in environmental science and engineering. His expertise lies in synthesizing biopolymer derivatives for adsorptive removal of pollutants, including dyes, heavy metals, and noble metals from industrial wastewater. He has worked extensively on the development of low-cost adsorbents and the treatment of urban wastewater streams. His research extends to machine learning applications for air quality prediction and environmental data analysis. Dr. Patel has also conducted techno-economic assessments of sustainable environmental technologies. His ability to integrate computational modeling with experimental research has enhanced his contributions to sustainable water treatment methodologies. His skills include advanced spectroscopic characterization, adsorption kinetics modeling, and environmental impact assessment. His proficiency in coordinating interdisciplinary research projects has made him a valuable contributor to environmental sustainability initiatives globally.

Publication Top Notes

Title: Adsorptive removal of Zn, Fe, and Pb from Zn dominant simulated industrial wastewater solution using polyvinyl alcohol grafted chitosan variant resins
Authors: PK Patel, LM Pandey, RVS Uppaluri
Citation Count: 63
Year: 2023
Title: Highly effective removal of multi-heavy metals from simulated industrial effluent through an adsorption process employing carboxymethyl-chitosan composites
Authors: PK Patel, LM Pandey, RVS Uppaluri
Citation Count: 28
Year: 2024
Title: Synthesized carboxymethyl-chitosan variant composites for cyclic adsorption-desorption based removal of Fe, Pb, and Cu
Authors: PK Patel, LM Pandey, RVS Uppaluri
Citation Count: 22
Year: 2023
Title: Cyclic desorption based efficacy of polyvinyl alcohol-chitosan variant resins for multi heavy-metal removal
Authors: PK Patel, LM Pandey, RVS Uppaluri
Citation Count: 21
Year: 2023
Title: Batch adsorption characteristics of Dowex Marathon MSA commercial resin for Au (III) removal from synthetic electroless plating solutions
Authors: PK Patel, S Nagireddi, RVS Uppaluri, LM Pandey
Citation Count: 21
Year: 2022
Title: Multi-metal Adsorption and Cyclic Desorption Characteristics of Zn²⁺ and Cu²⁺ Constituting Multi-component Synthetic Wastewater System Using Commercial Sorbents
Authors: PK Patel, LM Pandey, R Uppaluri
Citation Count: 11
Year: 2022
Title: Cyclic adsorption and desorption characteristics of citric acid-chitosan variant resins for Pb, Fe, and Zn removal from simulated mining and agricultural wastewater system
Authors: PK Patel, LM Pandey, RVS Uppaluri
Citation Count: 5
Year: 2024
Title: Evaluation of a triethylenetetramine-chitosan derivative for the removal of palladium ion from an intricate adsorbate system
Authors: S Nagireddi, PK Patel, AK Golder, RVS Uppaluri
Citation Count: 2
Year: 2025
Title: Adsorption of emerging pollutants utilizing chitosan derivatives: Recent advances and future perspective
Authors: PK Patel, RVS Uppaluri
Citation Count: N/A
Year: 2025
Title: Conceptual techno-economic analysis of chitosan derivative resin and commercial sorbents for multi-heavy metal removal
Authors: PK Patel, LM Pandey, RVS Uppaluri
Citation Count: N/A
Year: 2025

AWAIS KHAN | Engineering | Best Researcher Award

Posted on 29/01/202529/01/2025 by sciencefather

Assist. Prof. Dr. AWAIS KHAN | Engineering | Best Researcher Award

Assist. Prof. Dr. AWAIS KHAN, Beijing Institute of Technology Zhuhai Campus, China

Dr. Awais Khan is an Assistant Professor at the Beijing Institute of Technology, Zhuhai Campus, specializing in advanced control systems, renewable energy technologies, and interval observers. With a PhD in Control Theory and Control Engineering from South China University of Technology, Dr. Khan has made significant contributions to mechatronics and control engineering during his tenure as a Postdoctoral Research Fellow at Shenzhen University. His research is recognized for its innovative approach, particularly in the application of control systems in energy-efficient technologies. A prolific researcher and published author, Dr. Khan has been actively involved in securing research funding and publishing in top-tier journals. His passion for both teaching and research allows him to foster a dynamic learning environment for students while contributing to the advancement of technology in engineering and energy sectors.

Professional Profile

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Summary of Suitability for the Research for Best Researcher Award

Awais Khan’s impressive academic background and research trajectory make him highly suitable for the Research for Best Researcher Award. He currently serves as an Assistant Professor at the Beijing Institute of Technology, where he leads cutting-edge research in advanced control systems, renewable energy technologies, and interval observers. His teaching excellence, combined with his groundbreaking research contributions, aligns well with the award’s criteria, which honors those making significant academic and technological advancements.

Awais Khan’s postdoctoral experience at Shenzhen University further solidifies his research prowess, particularly in mechatronics and control engineering. His work has been recognized in reputable journals, with a consistent record of impactful publications in high-impact platforms such as IEEE Transactions and the Journal of the Franklin Institute. He has demonstrated leadership in securing research funding and fostering interdisciplinary collaboration.

Education

Dr. Awais Khan holds a PhD in Control Theory and Control Engineering from the South China University of Technology (2016–2020), where his research focused on interval observers and their applications to control theory. Prior to that, he earned a Master’s degree in Electrical Engineering from the University of Engineering and Technology (UET) Lahore (2014–2016). Dr. Khan’s academic journey began with a Bachelor of Science in Electronics Engineering from UET Peshawar (2009–2013), which laid the foundation for his expertise in engineering and control systems. Throughout his academic career, he has received several scholarships, including the prestigious Chinese Government Scholarship for his PhD studies. His educational background is complemented by his active participation in various research projects, workshops, and technical conferences, enabling him to stay at the forefront of advancements in control systems, renewable energy technologies, and energy-efficient engineering solutions.

Professional Experience

Since 2022, Dr. Awais Khan has been an Assistant Professor at the Beijing Institute of Technology, Zhuhai Campus, where he teaches a range of courses, including C/C++, Probability & Statistical Analysis, Circuits & Electronics, and Physics. His role involves both delivering high-quality lectures and conducting groundbreaking research in advanced control systems, renewable energy, and interval observers. Prior to this, Dr. Khan was a Postdoctoral Research Fellow at Shenzhen University (2020–2022), where he worked on mechatronics and control engineering, developing innovative technologies in interdisciplinary research collaborations. His work on interval observers for nonlinear systems garnered attention, leading to publications in reputable journals. Dr. Khan has also contributed to National Natural Science Foundation of China projects, enhancing the understanding of control systems in uncertain environments. His teaching and research experience are central to his contributions to the field, shaping future engineers and advancing the integration of energy-efficient technologies.

Awards and Recognition

Dr. Awais Khan has been recognized for his outstanding contributions to control systems and engineering through several prestigious awards and honors. Notably, he received the Best Presentation Award at the EECR in 2018, reflecting his excellence in research communication. His doctoral research, supported by the Chinese Government Scholarship, marked a milestone in the development of interval observers for linear and nonlinear systems. In addition, Dr. Khan serves as an editor for Technological Innovations & Energy and has been an active member of professional organizations, such as the IEEE and the International Association of Engineers, since 2024. His scholarly work has been widely recognized, with numerous publications in leading journals and conferences. He continues to secure research grants, supporting the advancement of innovative technologies in control systems and energy efficiency. Dr. Khan’s contributions to both academia and the engineering community have made him a respected figure in the field.

Research Skills On Engineering

Dr. Awais Khan possesses a deep proficiency in advanced control systems, renewable energy technologies, and interval observers. His research expertise spans control theory, nonlinear systems, and energy-efficient technologies, focusing on their applications in both academia and industry. With a strong background in mechatronics and control engineering, he has developed innovative solutions for system stability and energy optimization. Dr. Khan is skilled in designing interval observers for dynamic systems, particularly in uncertain environments, and has published extensively on the subject. His work also explores adaptive control strategies for robotics and power systems, leveraging cutting-edge technologies such as SiC and GaN. Dr. Khan is proficient in several programming languages, including Matlab, Simulink, Python, and C/C++, enabling him to implement complex models and simulations for his research. His skills in interdisciplinary collaboration and securing funding for research projects further highlight his versatility and commitment to advancing technological solutions in engineering.

Publication Top Notes

A survey of interval observers design methods and implementation for uncertain systems
A Khan, W Xie, Z Bo, LW Liu
Journal of the Franklin Institute, 358(6), 3077-3126, 2021
Citation: 52
Design and Applications of Interval Observers for Uncertain Dynamical Systems
A Khan, W Xie, Z Langwen, LW Liu
IET Circuits, Devices & Systems, 14(6), 721-740, 2020
Citation: 48
Path Planning for Wheeled Mobile Robot in Partially Known Uneven Terrain
B Zhang, G Li, Q Zheng, X Bai, Y Ding, A Khan
Sensors, 22(14), 5217, 2022
Citation: 41
Finite‐time nonsingular terminal sliding mode control of converter‐driven DC motor system subject to unmatched disturbances
A Rauf, M Zafran, A Khan, AR Tariq
International Transactions on Electrical Energy Systems, 31(11), e13070, 2021
Citation: 26
Interval state estimation for linear time-varying (LTV) discrete-time systems subject to component faults and uncertainties
A Khan, W Xie, L Zhang, Ihsanullah
Archives of Control Sciences, 29(2), 289-305, 2019
Citation: 22
Set-Membership Interval State Estimator Design Using Observability Matrix for Discrete-Time Switched Linear Systems
A Khan, LW Liu, W Xie
IEEE Sensors Journal, 20(11), 6121-6129, 2020
Citation: 20
Interval State Estimator Design for Linear Parameter Varying (LPV) Systems
A Khan, X Bai, Z Bo, P Yan
IEEE Transactions on Circuits and Systems II: Express Briefs, 68(8), 2865-2869, 2021
Citation: 19
Finite‐time functional interval observer for linear systems with uncertainties
L Liu, W Xie, A Khan, L Zhang
IET Control Theory & Applications, 14(18), 2868-2878, 2020
Citation: 14
Fault detection and diagnosis for a class of linear time-varying (LTV) discrete-time uncertain systems using interval observers
Z Yi, W Xie, A Khan, B Xu
2020 39th Chinese Control Conference (CCC), 4124-4128, 2020
Citation: 14
Interval State Estimator Design Using the Observability Matrix for Multiple Input Multiple Output Linear Time-Varying Discrete-Time Systems
A Khan, W Xie
IEEE Access, 7, 167566-167576, 2019
Citation: 13

H M IMRAN KAYS | Engineering | Best Researcher Award

Posted on 28/01/202528/01/2025 by sciencefather

Mr. H M IMRAN KAYS | Engineering | Best Researcher Award

Mr. H M IMRAN KAYS, University of Oklahoma, United States

H.M. Imran Kays is a PhD candidate at the University of Oklahoma’s School of Civil Engineering and Environmental Science. He specializes in transportation engineering, particularly in flood propagation and cascading failures in interdependent transportation and stormwater networks. Imran’s research integrates socio-technical systems and crisis response communities, contributing to transportation resilience. His career includes work as a graduate research assistant at renowned institutions, with a solid background in transportation system modeling. Imran also serves as a major in the Corps of Engineers, Bangladesh Army, bringing a unique blend of academic rigor and practical experience. Throughout his career, he has earned numerous awards, including the 2024 Best Poster Award at the Oklahoma Transportation Symposium and various scholarships and fellowships. His innovative work is highly regarded in his field, influencing both academic research and real-world infrastructure solutions.

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Suitability for the “Research for Best Researcher Award” – H.M. Imran Kays

H.M. Imran Kays, a PhD candidate in Civil Engineering at the University of Oklahoma, stands out as an exceptional candidate for the “Research for Best Researcher Award” due to his impactful research in transportation engineering, particularly focusing on interdependencies between transportation and stormwater networks, resilience frameworks, and the modeling of cascading failures in critical infrastructure systems. His multidisciplinary approach, blending engineering with risk and resilience studies, has led to several high-quality publications, including journal articles and conference proceedings, which reflect his deep understanding of both theoretical and practical aspects of civil engineering and transportation.

Kays’ ongoing work, including his involvement in projects like “Modeling Flood Propagation and Cascading Failures in Interdependent Transportation and Stormwater Networks,” showcases his ability to address pressing global challenges like climate change and infrastructure resilience. His research bridges critical gaps in understanding the vulnerabilities of interconnected systems under stress, making it highly relevant to contemporary issues. Additionally, his impressive list of awards—such as the Best Poster Award at the 2024 Oklahoma Transportation Symposium and several prestigious scholarships—demonstrates recognition of his contributions from the academic community.

🎓 Education

Imran Kays is currently pursuing his PhD in Civil Engineering at the University of Oklahoma, specializing in transportation engineering. He earned his MSc and BSc in Civil Engineering from the Military Institute of Science and Technology (MIST), Bangladesh, where he focused on transportation systems and their resilience. His academic journey includes distinguished research in socio-geographic monitoring, transportation policies, and infrastructure utilization metrics. Imran’s advanced education has been supported by several prestigious scholarships, including the 2024 Donald E Hall Scholarship and the Walt Kolb Civil Engineering Graduate Fellowship. His strong academic foundation underpins his research focus on transportation system modeling, including flood propagation and cascading failures in interdependent systems. The expertise gained during his PhD research is coupled with hands-on experience in major engineering projects, ensuring his work bridges theoretical knowledge with practical solutions in civil engineering.

💼 Professional Experience

Imran Kays has substantial professional experience, including roles as a Graduate Research Assistant and PhD student at the University of Oklahoma’s School of Civil Engineering and Environmental Science, the Department of Civil and Environmental Engineering at Florida International University, and Georgia Southern University. His research primarily focuses on transportation engineering, with key studies on the interdependencies between transportation and stormwater networks. As a graduate research assistant, Imran has contributed to numerous high-impact projects, applying his expertise in flood modeling, traffic management, and crisis response frameworks. In addition to his academic work, Imran serves as a Major in the Corps of Engineers, Bangladesh Army, where he applies his engineering knowledge to real-world infrastructure and crisis management challenges. His professional experience spans a broad spectrum, from hands-on traffic analysis to sophisticated modeling and resilience planning, which has shaped his approach to solving complex engineering problems.

🏅 Awards and Recognition

Imran Kays has received multiple awards and recognitions throughout his academic career. He was honored with the Best Poster Award at the 2024 Oklahoma Transportation Symposium and has been awarded the 2024 Donald E Hall Scholarship and the 2024 Cleo Cross Scholarship. His academic excellence is further acknowledged by the 2024 Walt Kolb Civil Engineering Graduate Fellowship and the 2024 Bullard Dissertation Completion Fellowship. These accolades underscore his outstanding contributions to transportation research. Imran’s dedication to his field has also earned him the 2024 Robberson Travel Grant and the 2023 Gallogly College of Engineering Scholarship, among others. In addition to academic scholarships, Imran has been recognized for his work on the intersection of transportation and stormwater systems, with multiple publications and presentations at prestigious conferences. His achievements reflect his leadership in the field and his commitment to advancing transportation engineering.

🌍 Research Skills On Engineering

Imran Kays is a skilled researcher with a focus on transportation system modeling, resilience frameworks, and socio-technical systems in infrastructure. His expertise lies in analyzing and modeling the interdependencies between transportation and stormwater networks, exploring cascading failures during natural disasters. Imran has developed advanced resilience frameworks for transportation systems, incorporating data-driven approaches to assess infrastructure vulnerability and develop adaptive strategies. His work on integrating socio-geographic monitoring with transportation policies has received significant attention for its potential to shape future urban transportation planning. Additionally, Imran’s research includes flood modeling, crisis response communities, and risk perception analysis in online social networks. He employs a combination of AI, machine learning, and GIS to predict long-term traffic patterns and assess infrastructure resilience under varying conditions. Imran’s research contributes to the practical application of civil engineering in managing disasters and enhancing the resilience of transportation networks.

Publication Top Notes

H-CTM for simulating non-lane-based heterogeneous traffic
Authors: HMI Kays, TH Shimu, M Hadiuzzaman, SM Muniruzzaman, …
Citation: Transportation Letters, 11 (7), 382-390
Year: 2019
Identifying crisis response communities in online social networks for compound disasters: the case of hurricane Laura and COVID-19
Authors: KA Momin, HMI Kays, AM Sadri
Citation: Transportation Research Record, 03611981231168120
Year: 2023
Centrality-based lane interventions in road networks for improved level of service: the case of downtown Boise, Idaho
Authors: MA Ahmed, HMI Kays, AM Sadri
Citation: Applied Network Science, 8 (1), 2
Year: 2023
Exploring the interdependencies between transportation and stormwater networks: The case of Norman, Oklahoma
Authors: HMI Kays, AM Sadri, KKM Muraleetharan, PS Harvey, GA Miller
Citation: Transportation Research Record, 2678 (5), 491-513
Year: 2024
Towards Unifying Resilience and Sustainability for Transportation Infrastructure Systems: Conceptual Framework, Critical Indicators, and Research Needs
Authors: HM Kays, AM Sadri
Citation: arXiv preprint arXiv:2208.10039
Year: 2022
Translating Social Media Crisis Narratives into Road Network Utilization Metrics: The Case of 2020 Oklahoma Ice Storm
Authors: HM Kays, KA Momin, MB Thwala, KK Muraleetharan, AM Sadri
Citation: arXiv preprint arXiv:2212.08616
Year: 2022
Modeling Flood Propagation and Cascading Failures in Interdependent Transportation and Stormwater Networks
Authors: HMI Kays, AM Sadri, PS Harvey, GA Miller
Citation: International Journal of Critical Infrastructure Protection, 100741
Year: 2025
Translating Risk Narratives in Socio-Technical Systems into Infrastructure Utilization Metrics During Compounding Hazard Events
Authors: HMI Kays, KA Momin, KK Muraleetharan, AM Sadri
Citation: Arif, Translating Risk Narratives in Socio-Technical Systems into …
Year: 2024
A Data-driven Resilience Framework of Directionality Configuration based on Topological Credentials in Road Networks
Authors: HM Kays, KA Momin, KK Muraleetharan, AM Sadri
Citation: arXiv preprint arXiv:2401.07371
Year: 2024
A Structural Equation Modeling Approach to Understand User’s Perceptions of Acceptance of Ride-Sharing Services in Dhaka City
Authors: MMI Sourav, MR Islam, HM Kays, M Hadiuzzaman
Citation: arXiv preprint arXiv:2210.04086
Year: 2022

Kamaraj K | Engineering | Best Researcher Award

Posted on 24/01/202524/01/2025 by sciencefather

Dr. Kamaraj K | Engineering | Best Researcher Award

Dr. Kamaraj K, KPR Institute of Engineering and Technology, India

Dr. Kamaraj K, an accomplished academic and researcher, holds a Ph.D. in Information and Communication Engineering from Anna University (2021). With over 17 years of academic experience, he is currently an Associate Professor and Head of the Department of Information Technology at KPR Institute of Engineering and Technology, Coimbatore. He has a strong background in software engineering, testing, and agile methodologies, alongside expertise in Extended Reality. Dr. Kamaraj is passionate about integrating technology with real-world applications, emphasizing teamwork and continuous learning. His leadership roles include overseeing ranking, accreditation activities, and Sustainable Development Goals (SDG) initiatives. Dr. Kamaraj’s contributions extend to mentoring and advancing autonomous academic processes. His professional journey is marked by dedication, innovation, and a focus on impactful research, making him a valuable figure in engineering education and research.

Professional Profile

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Summary of Suitability for the Research for Best Researcher Award

Dr. Kamaraj K is a highly accomplished academic professional with a strong foundation in software engineering, software testing, agile methodologies, and extended reality. With over 17.2 years of academic experience, he has consistently demonstrated leadership, innovation, and a commitment to advancing knowledge in his research areas. As an Associate Professor and Head of the Department of Information Technology at KPR Institute of Engineering and Technology, Dr. Kamaraj has contributed significantly to academic and administrative excellence. His responsibilities have encompassed managing accreditation processes, autonomous proceedings, and sustainable development goals (SDG) initiatives, showcasing his multifaceted expertise and organizational capabilities.

Dr. Kamaraj’s impressive academic qualifications, including a Ph.D. in Information and Communication Engineering from Anna University, underline his deep understanding of complex research topics. He has made meaningful contributions to academic literature, publishing papers on strategies for automated test oracle and test case generation, which highlight his ability to address practical challenges in software testing. His professional certifications, such as MTA, IBM DB2-302, and OCA, demonstrate his dedication to continuous learning and mastery of modern tools and technologies.

🎓 Education

Dr. Kamaraj K’s educational journey is distinguished by academic excellence and a focus on cutting-edge engineering fields. He earned his Ph.D. in Information and Communication Engineering from Anna University in 2021, showcasing his dedication to advanced research in software engineering and testing. His M.Tech. in Software Engineering from Bharathidhasan University (2007) further honed his technical and problem-solving skills, laying a strong foundation for his career. Dr. Kamaraj also holds a B.Tech. in Information Technology from Coimbatore Institute of Engineering and Technology, affiliated with Anna University, which he completed in 2005. These qualifications reflect his commitment to academic rigor and innovation in engineering. His education has equipped him with the knowledge and expertise to lead projects, mentor students, and contribute to advancements in engineering and technology.

💼 Professional Experience

Dr. Kamaraj K has an extensive career spanning over 17 years in academia, with significant leadership roles in prestigious institutions. Since 2017, he has been serving as Associate Professor and Head of the Department of Information Technology at KPR Institute of Engineering and Technology, Coimbatore. His responsibilities include managing ranking and accreditation activities, mentoring teams, and advancing autonomous academic processes. Prior to this, he worked at Dhanalakshmi Srinivasan College of Engineering, Coimbatore, as Assistant Professor and Department Head from 2012 to 2017. From 2007 to 2012, he contributed to SRM University, Chennai, as Assistant Professor, coordinating academic activities, accreditation processes, and extracurricular events. Dr. Kamaraj’s professional experience showcases his expertise in academic leadership, curriculum development, and student mentorship, underscoring his dedication to fostering excellence in engineering education.

🏅 Awards and Recognition

Dr. Kamaraj K’s illustrious career is marked by numerous recognitions for his academic and professional excellence. He has been acknowledged for his leadership in managing institutional rankings and accreditation activities, including QS I-GAUGE, THE Impact Ranking, and NIRF. Under his guidance, the Department of Information Technology at KPR Institute of Engineering and Technology has achieved significant milestones. Dr. Kamaraj’s contributions to autonomous academic processes and his role in advancing Sustainable Development Goals (SDGs) have been widely recognized. He is also a certified professional in various technical domains, holding certifications such as MTA in Database Management, IBM DB2-302, and Oracle Certified Associate (OCA). His dedication to quality education and impactful research has earned him a reputation as a forward-thinking academic leader.

🌍 Research Focus and Skills On Engineering

Dr. Kamaraj K’s research expertise lies in software engineering, with a focus on software testing, agile methodologies, and extended reality. He is passionate about applying innovative technologies to solve real-world challenges, emphasizing the integration of theory and practice. Dr. Kamaraj is skilled in automated test oracle strategies, test case generation, and reduction techniques, as reflected in his published works. His technical proficiency extends to database management systems, manual testing, and programming, supported by certifications in MTA, IBM DB2, and ISTQB. As a researcher and academic leader, he is dedicated to advancing knowledge in his field through continuous learning and collaboration. Dr. Kamaraj’s ability to mentor students, lead projects, and contribute to impactful research highlights his commitment to driving innovation in engineering and technology.

Publication Top Notes

Title: A Hybridized Artificial Neural Network for Automated Software Test Oracle
Authors: R.M. K. Kamaraj, B. Lanitha, S. Karthic, P. N. Senthil Prakash
Journal: Computer Systems Science and Engineering, 45 (2), 1837-1850
Citations: 12
Year: 2022
Title: A weight optimized artificial neural network for automated software test oracle
Authors: K. Kamaraj, C. Arvind, K. Srihari
Journal: Soft Computing, 24 (17), 13501-13511
Citations: 9
Year: 2020
Title: Improved beetle swarm optimization algorithm for energy efficient virtual machine consolidation on cloud environment
Authors: H. Bhagavathi, S. Rathinavelayatham, K. Shanmugaiah, K. Kanagaraj, …
Journal: Concurrency and Computation: Practice and Experience, 34 (10), e6828
Citations: 8
Year: 2022
Title: Intelligent fuzzy edge computing for real-time decision making in IoT-based digital twin environments
Authors: K. Prasath, N. Arun, A. Saravanan, B. Kamaraj
Journal: Journal of Intelligent & Fuzzy Systems, 1-12
Citations: 1
Year: 2023
Title: Multiobjective Gannet Dung Beetle Optimization for routing in IoT-WSN
Authors: S. Sangeetha, K. Kanagaraj, N. Prasath, S. Saradha
Journal: Peer-to-Peer Networking and Applications, 1-21
Citations: Not yet available
Year: 2024
Title: Soybean Leaf Disease Classification using Enhanced Densenet121
Authors: V. Yogabalajee, K. Sundaram, K. Kanagaraj
Conference: 2024 10th International Conference on Advanced Computing and Communication
Citations: Not yet available
Year: 2024
Title: Meeting Recap Automation: Leveraging NLP and Pretrained Models for Effortless Summaries
Authors: G.D.P. Kamaraj, K. Dheepakh Bala, T. Divya, S. P.
Journal: International Journal of Advance Computational Engineering and Networking
Citations: Not yet available
Year: 2024
Title: Prediction of Lung Infections with Deep Learning Techniques: A Systematic Review
Authors: V. Thangamuthu, K. Kamaraj, J.D.K. Hezekiah
Conference: 2023 3rd International Conference on Innovative Mechanisms for Industry
Citations: Not yet available
Year: 2023
Title: Data driven probabilistic detection of fake news using advanced machine learning algorithms
Authors: K. Kamaraj, R. Giri, S. Dhanush, S. Gokul
Journal: AIP Conference Proceedings, 2764 (1)
Citations: Not yet available
Year: 2023
Title: Speech Based Emotion Recognition System
Authors: D.K.K. Sri Murugharaj B.R., Shakthy B., Sabari L.
Journal: International Journal of Engineering Technology and Management Sciences, 7 (1)
Citations: Not yet available
Year: 2023

Praveen Sankarasubramanian | Engineering | Best Researcher Award

Posted on 11/01/202511/01/2025 by sciencefather

Dr. Praveen Sankarasubramanian | Engineering | Best Researcher Award

Dr. Praveen Sankarasubramanian, RMD Research labs, India

Dr. Praveen Sankarasubramanian is a distinguished technologist and researcher with over 13 years of experience in software development, AI, cloud computing, and industrial safety. Currently, he serves as a Senior Software Developer at Pearson India Education Services, specializing in Java, Spring Boot, and AWS Cloud. Dr. Praveen is also the founder of RMD Research Labs, focusing on cutting-edge research in AI, NLP, and safety technologies. His academic expertise is complemented by a Ph.D. in Computer Science and Engineering from VELS University, an M.Tech. in Software Systems from Birla Institute of Technology and Science, and multiple certifications. Dr. Praveen has developed innovative solutions in various domains, including AI-driven safety mechanisms, cloud platforms, and personalized learning systems. His leadership, mentorship, and continuous drive for innovation have made a significant impact on both academic and industry landscapes.

Author Profile

Scopus Profile

Orcid Profile

🎓Education:

Dr. Praveen Sankarasubramanian’s academic journey reflects his dedication to excellence in technology and engineering. He earned a Ph.D. in Computer Science and Engineering from VELS University (March 2018 – August 2023), where he focused on AI, NLP, and cloud-based technologies. His M.Tech. in Software Systems from Birla Institute of Technology and Science, Pilani (2015-2017) provided a solid foundation in advanced software development techniques. Further expanding his expertise, Dr. Praveen completed an Advanced Diploma in Industrial Safety from Bharat Sevak Samaj (2017-2018). Additionally, he pursued a Post Graduate Program in Business Administration with a focus on operations from Symbiosis (2012-2014). His academic background equips him with a diverse skill set, enabling him to tackle complex problems in software engineering, AI, and industrial safety. This foundation has played a key role in his successful integration of theoretical knowledge with practical solutions.

💼Professional Experience:

Dr. Praveen Sankarasubramanian has extensive professional experience, having held leadership roles in major global tech companies. Currently, he is a Senior Software Developer at Pearson India Education Services, where he focuses on cutting-edge technologies such as Java, AWS Cloud, and Spring Boot. Before this, Dr. Praveen was a Senior Software Engineer at Cognizant, where he managed multiple projects in personalized learning and analytics. He oversaw a cross-functional team of 48 members and led seven parallel projects, successfully meeting organizational and project goals. Dr. Praveen’s experience also spans roles at Software AG, GlobalLogic, and 8K Miles Software Services, where he developed cloud-based systems and advanced data analytics solutions. As the founder of RMD Research Labs, he continues to lead research projects in AI and NLP. His career has consistently showcased his ability to merge leadership with technical innovation to drive impactful solutions in both academia and industry.

🔬Research Skills:

Dr. Praveen Sankarasubramanian possesses a diverse and highly advanced skill set in research, combining expertise in artificial intelligence (AI), natural language processing (NLP), machine learning (ML), cloud computing, and industrial safety. His research work spans several impactful areas, such as developing AI-driven safety systems, optimizing cloud platforms, and advancing personalized learning solutions in education technology. Dr. Praveen has also contributed to bandwidth optimization for video solutions and AI for predictive maintenance. His interdisciplinary approach allows him to apply theoretical research to real-world challenges, resulting in the creation of patents and innovative software solutions. Additionally, he has honed his skills in project management, utilizing Agile, Scrum, and JIRA to lead research teams effectively. Dr. Praveen’s research has not only influenced the tech industry but also shaped academic curricula, through his mentorship and contributions to educational resources such as books and journals for students.

🏆Awards and Recognition:

Dr. Praveen Sankarasubramanian’s dedication to innovation and technology has earned him numerous accolades throughout his career. He holds a patent for a system to monitor and handle liquid sodium leakage and fire accidents using AI, which showcases his contribution to industrial safety. His work on bandwidth optimization for video solutions also demonstrates his innovative approach to solving critical tech challenges. Dr. Praveen’s leadership and expertise in cloud computing, AI, and software development have been widely recognized within the tech industry, especially during his tenure at Pearson India and Cognizant. He has also been recognized for his mentorship, having successfully onboarded and guided numerous associates and students in their professional journeys. As a researcher, his contributions have further been acknowledged in academic circles, making him a trusted mentor for the next generation of engineers. His accolades reflect his commitment to excellence, both as a researcher and as a leader.

📖Publications Titles:

A System and Method for Monitoring, Sensing, Analyzing, and Handling the Pre-determined Status of Liquid Metals 📊💡
AI-driven Safety Mechanisms for Industrial Accidents 🔥🤖
Bandwidth Optimization for Video Solutions in Cloud-Based Applications 🌐📹
Predictive Maintenance in Industrial Safety Systems Using Machine Learning 🔧🤖
Developing Personalized Learning Solutions in Education Technology 🎓📚
Cloud Architecture for Scalable SaaS Platforms ☁️💻

🌟Conclusion:

Dr. Praveen Sankarasubramanian is a highly qualified and innovative researcher whose contributions to AI, cloud computing, and industrial safety have made a significant impact. His ability to blend academic knowledge with practical solutions, demonstrated through patents and cutting-edge technologies, highlights his research excellence. With over 13 years of experience, he has successfully led teams, managed complex projects, and mentored the next generation of engineers. Dr. Praveen’s leadership, technical expertise, and dedication to continuous innovation make him a deserving candidate for the Research for Best Researcher Award, marking him as a pioneer in his field.

Top Notable Publications

👤 Enhancing precision in agriculture: A smart predictive model for optimal sensor selection through IoT integration
- Authors: Sankarasubramanian, P.
- Citations: 0 🌟
- Year: 2025 🎓
- Journal: Smart Agricultural Technology 📖
👤 An efficient crack detection and leakage monitoring in liquid metal pipelines using a novel BRetN and TCK-LSTM techniques
- Authors: Sankarasubramanian, P.
- Citations: 0 🌟
- Year: 2024 🎓
- Journal: Multimedia Tools and Applications 📖
👤 Protection of Hazardous Places in Industries using Machine Learning
- Authors: Sankarasubramanian, P.
- Citations: 1 🌟
- Year: 2023 🎓
- Conference: 2023 International Conference on Emerging Smart Computing and Informatics (ESCI 2023) 💼
👤 Artificial intelligence-based detection system for hazardous liquid metal fire
- Authors: Sankarasubramanian, P., Ganesh, E.N.
- Citations: 1 🌟
- Year: 2021 🎓
- Conference: Proceedings of the 2021 8th International Conference on Computing for Sustainable Global Development (INDIACom 2021) 💼
👤 Realtime Pipeline Fire Smoke Detection Using a Lightweight CNN Model
- Authors: Kumar, V.K.S., Sankarasubramanian, P.
- Citations: 5 🌟
- Year: 2021 🎓
- Conference: Proceedings of the 2021 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT 2021) 💼
👤 IoT based prediction for industrial ecosystem
- Authors: Sankarasubramanian, P., Ganesh, E.N.
- Citations: 1 🌟
- Year: 2019 🎓
- Journal: International Journal of Engineering and Advanced Technology 📖

Dr. Shagufta Riaz, National Textile University, Pakistan

Professional Profile

Suitability of Dr. Shagufta Riaz for the Research for Women Researcher Award

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💼 Professional Experience

🏅 Awards and Recognition

🌍 Research Skills On Engineering

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Assoc. Prof. Dr. Naveed Ahmed, Al Yamamah University, Saudi Arabia

Professional Profile

Summary of Suitability for the Research for Academic Excellence Award

🎓 Education

💼 Professional Experience

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🌍 Research Skills On Engineering

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Dr. Sergio Armando Barbosa, University of Virginia, United States

Professional Profile

Suitability for the “Research for Best Researcher Award” – Sergio Armando Barbosa Casas

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Assoc. Prof. Dr. Eirini Eleni Tsiropoulou, Arizona State University, United States

Professional Profile

Suitability of Dr. Eirini Eleni Tsiropoulou for the Research for Best Researcher Award

🎓 Education

💼 Professional Experience

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Assoc. Prof. Dr. Farzad Pashmforoush, University of Maragheh, Iran

Professional Profile

Suitability for the Research for Best Researcher Award – Farzad Pashmforoush

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🌍 Research Skills On Engineering

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Dr. Prabhat Patel, Harbin Institute of Technology Shenzhen, China, India

Professional Profile

Suitability of Summary for Best Researcher Awards

🎓 Education

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🌍 Research Skills On Engineering

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Assist. Prof. Dr. AWAIS KHAN | Engineering | Best Researcher Award

<img decoding="async" class="an1" draggable="false" src="https://fonts.gstatic.com/s/e/notoemoji/16.0/1f464/32.png" alt="👤" data-emoji="👤" aria-label="👤" /> Assist. Prof. Dr. AWAIS KHAN, Beijing Institute of Technology Zhuhai Campus, China

Professional Profile

<img decoding="async" class="an1" draggable="false" src="https://fonts.gstatic.com/s/e/notoemoji/16.0/1f31f/32.png" alt="🌟" data-emoji="🌟" aria-label="🌟" /> Summary of Suitability for the Research for Best Researcher Award

<img decoding="async" class="an1" draggable="false" src="https://fonts.gstatic.com/s/e/notoemoji/16.0/1f393/32.png" alt="🎓" data-emoji="🎓" aria-label="🎓" /> Education

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Mr. H M IMRAN KAYS, University of Oklahoma, United States

Professional Profile

Suitability for the “Research for Best Researcher Award” – H.M. Imran Kays

🎓 Education

💼 Professional Experience

🏅 Awards and Recognition

🌍 Research Skills On Engineering

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Dr. Kamaraj K, KPR Institute of Engineering and Technology, India

Professional Profile

<img decoding="async" class="an1" draggable="false" src="https://fonts.gstatic.com/s/e/notoemoji/16.0/1f31f/32.png" alt="🌟" data-emoji="🌟" aria-label="🌟" /> Summary of Suitability for the Research for Best Researcher Award

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💼 Professional Experience

🏅 Awards and Recognition

🌍 Research Focus and Skills On Engineering

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Dr. Praveen Sankarasubramanian, RMD Research labs, India

Author Profile

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Assist. Prof. Dr. AWAIS KHAN, Beijing Institute of Technology Zhuhai Campus, China

Summary of Suitability for the Research for Best Researcher Award

Education

Professional Experience

Awards and Recognition

Research Skills On Engineering

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Summary of Suitability for the Research for Best Researcher Award

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