Tag: Cutting-Edge Engineering Award

Suitability for the "Research for Best Faculty Award" – Dr. Abhishek Saxena

Dr. Abhishek Saxena demonstrates exceptional academic and professional contributions that make him highly suitable for the "Research for Best Faculty Award." His vast body of work, which includes a Ph.D. in Electrical Engineering, several years of teaching experience, numerous published journal papers, conference papers, and a recent international patent, highlights his dedication to research excellence. As an Assistant Professor at ITM University since 2012, he has continually worked towards advancing the academic standards in the field of Electrical Engineering, particularly in Restructured Power Systems and Power System Optimization.

Dr. Saxena's research output is both diverse and significant. He has contributed extensively to peer-reviewed journals and conferences, with notable papers in highly regarded publications, such as Cogent Engineering and the International Journal of Electrical Engineering and Technology. His expertise in optimizing power markets and electricity pricing, demonstrated in his work on "Wheeling Prices" and "Congestion Management in Open Access Power," is cutting-edge. He has also been recognized for his innovative approach with the 2013 Best Researcher Award from ITM University and an international patent in 2024 for his innovation in real-time computing and power management.

Education

Dr. Abhishek Saxena holds a Ph.D. in Electrical Engineering from R.G.P.V., Bhopal (2025). He earned his M.E. in Industrial Systems and Drives from Madhav Institute of Technology and Science, Gwalior (2009), where he developed expertise in electrical systems. He completed his B.E. in Electrical Engineering from Maharana Pratap College of Technology, Gwalior (2006). His academic journey reflects a commitment to deepening his knowledge and advancing his research interests in restructured power systems and power optimization. Dr. Saxena's robust educational foundation has enabled him to make significant contributions to both academia and industry, fostering advancements in power systems and optimization.

Professional Experience

Dr. Saxena's professional career spans various roles in academia and industry. He is currently an Assistant Professor in the Electrical Engineering Department at ITM University, Gwalior, where he has been teaching since May 2012. Prior to this, he worked as a Lecturer at NRI Institute of Technology & Management, Gwalior (2008-2012). His professional experience also includes consulting as the Director of MMAH Online & Techno Key Private Limited, Gwalior since September 2023. His teaching experience is complemented by his contributions to research and innovation, particularly in power systems optimization. He has guided numerous students and collaborated on impactful research projects in the field of electrical engineering.

Awards and Recognition

Dr. Abhishek Saxena has received several accolades for his academic and research achievements. Notably, he was honored with the Best Researcher Award in 2013 at ITM University, Gwalior, acknowledging his contributions to the field of electrical engineering. He has also qualified for prestigious exams such as GATE 2008 in the Electrical stream and OpenMAT 2009 for MBA entrance with an 'A' grade. His achievements extend to his work on international patents, including an innovative system for real-time computing and power management. Dr. Saxena’s commitment to advancing research and education in the field of power systems continues to earn him recognition from peers and industry leaders alike.

Research Skill On Engineering

Dr. Saxena’s research skills are focused on power systems optimization, restructured power systems, and dynamic pricing methodologies. His expertise includes the application of advanced computational techniques such as genetic algorithms, artificial neural networks, and deep reinforcement learning to optimize power systems. Dr. Saxena has significantly contributed to the development of wheeling pricing models and transmission pricing methodologies. His research is characterized by a strong analytical approach and a commitment to practical, real-world solutions for energy systems. He has published extensively in reputed journals and presented his work at international conferences, highlighting his proficiency in addressing complex challenges in the power sector. Dr. Saxena’s work continues to influence both academic research and industrial applications in power systems and optimization.

Publication Top Notes

Title: Congestion management in open access—a review
Authors: A. Saxena, S.N. Pandey, L. Srivastava
Citation: International Journal of Science, Engineering and Technology Research, 2(4)
Citations: 14
Year: 2013
Title: Genetic algorithm based wheeling prices allocation for Indian power utility by using MVA-mile and MW-mile approaches
Authors: A. Saxena, S.N. Pandey, L. Srivastava
Citation: 2016 International Conference on Emerging Trends in Electrical Electronics
Citations: 11
Year: 2016
Title: DC-OPF based allocation of wheeling prices for varying contribution of producers and customers
Authors: A. Saxena, S.N. Pandey, L. Srivastava
Citation: 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)
Citations: 6
Year: 2016
Title: ALLOCATION OF OPTIMIZED WHEELING PRICES THROUGH TRACING IN COMPETITIVE POWER MARKET
Authors: A. Saxena, I.S.N. Pandey, I.L. Srivastava
Citation: International Journal of Electrical Engineering and Technology, 12(2), 151–170
Citations: 2
Year: 2021
Title: Assessment of Incremental Cost and Reinforcement Timing for Uncertain Future Generation and Demand in Competitive Power Market
Authors: A. Saxena, S.N. Pandey, L. Srivastava
Citation: 2020 IEEE 7th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)
Citations: 2
Year: 2020
Title: Wheeling Prices Methodology: A Review
Authors: A. Saxena, A. Tripathi
Citation: International Journal of Enhanced Research in Science, Technology & Engineering
Citations: 1
Year: 2014
Title: Metaphor-less Rao-3 and artificial neural network with parallel computing-based wheeling pricing in competitive power market
Authors: A. Saxena, S.N. Pandey, S. Dixit
Citation: Cogent Engineering, 11(1), 2340321
Citations: —
Year: 2024
Title: Wheeling Price Optimization And Allocation Using A Modified Rao-2 Algorithm In An Open Access Power Market Environment
Authors: S.D. Abhishek Saxena, Seema N. Pandey
Citation: NOVYI MIR Research Journal, 8(6), 61–71
Citations: —
Year: 2023
Title: Bacterial Foraging Particle Swarm Optimization based Wheeling Pricing Allocation through AF-mile and RF-mile approach
Authors: A. Saxena, S.N. Pandey, S. Dixit
Citation: 2023 IEEE 12th International Conference on Communication Systems and Network Technologies (CSNT)
Citations: —
Year: 2023
Title: Genetic algorithm based wheeling prices assessment and allocation in hybrid power market
Authors: L.S. Abhishek Saxena, Seema N. Pandey
Citation: High Technology Letters, 27(2), 205–220
Citations: —
Year: 2021

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.

Professional Profile

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

Karthik K | Engineering | Best Researcher Award

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

Dr. Karthik K | Engineering | Best Researcher Award

Dr. Karthik K, Vellore Institute of Technology, Vellore, India

Karthik K is an accomplished academician and researcher specializing in computer vision, deep learning, and medical imaging. With over a decade of experience in teaching and research, he has contributed significantly to the field of artificial intelligence in healthcare applications. Currently serving as an Assistant Professor Sr Grade I at Vellore Institute of Technology, Vellore, he has previously worked at St. Joseph Engineering College and NITK, Surathkal. His research is backed by strong academic credentials, numerous publications, and active collaborations with esteemed institutions like NITK, NITPy, and VIT AP. Karthik has received the VIT Seed Grant for AI-driven cricket commentary generation and has applied for prestigious research grants. His contributions to automated medical scan quality enhancement and content-based medical image retrieval have been widely recognized. An active IEEE and IAENG member, he continues to drive innovation in AI and deep learning for intelligent healthcare applications.

Professional Profile

Evaluation of Dr. Karthik K for the Research for Best Researcher Award

Dr. Karthik K, currently an Assistant Professor Sr. Grade I at the Vellore Institute of Technology (VIT), has demonstrated strong research contributions in the fields of computer vision, deep learning, and medical imaging. His research spans content-based medical image retrieval, automated radiography report retrieval, and deep learning-based medical scan quality enhancement, which have direct applications in intelligent healthcare systems. With six journal publications in SCI and Scopus-indexed journals, along with 145 citations, his academic impact is notable.

In addition to his research, Dr. Karthik has published book chapters, submitted a patent, and collaborated with reputed institutions such as NITK, NITPy, and VIT AP. His contributions to AI-driven healthcare applications, particularly in medical image classification and enhancement, showcase his innovative approach to solving real-world medical challenges. Furthermore, his ongoing VIT Seed Grant project on AI-generated cricket commentary and a DST-SURE research grant under review indicate his continued commitment to advancing AI applications across multiple domains.

🎓 Education

Karthik K has built a strong academic foundation in the fields of computer science and engineering. He pursued his Bachelor’s and Master’s degrees with a focus on artificial intelligence, deep learning, and medical imaging. His research interests led him to work as a Research Fellow at NITK Surathkal, where he contributed to the DST-ECR-funded project on deep learning frameworks for intelligent healthcare applications. During his tenure, he gained extensive expertise in content-based medical image retrieval and automated medical scan enhancements. His academic journey has been marked by continuous learning and contributions to research, with publications in renowned journals and conferences. Karthik’s passion for AI-driven innovations is evident in his scholarly work, patents, and ongoing research projects. His educational background has laid the foundation for his teaching and research career, equipping him with the knowledge and skills to drive advancements in AI, deep learning, and medical imaging applications.

💼 Professional Experience

Karthik K brings over 10 years of experience in academia and research. He is currently an Assistant Professor Sr Grade I at Vellore Institute of Technology, Vellore, where he specializes in AI, computer vision, and medical imaging. Prior to this, he was an Assistant Professor at St. Joseph Engineering College, Vamanjoor, Mangaluru (2020–2023) and an Assistant Lecturer at NITK, Surathkal (2015–2017). His professional journey includes a research fellowship at NITK Surathkal, where he worked on a DST-ECR-funded project developing deep learning frameworks for intelligent healthcare. Karthik has contributed significantly to AI-driven innovations, collaborating with institutions like NITK, NITPy, and VIT AP. His expertise extends to consultancy projects, editorial appointments, and patents. He has published extensively in SCI and Scopus-indexed journals and remains actively involved in advancing deep learning applications for medical imaging, making significant contributions to academia and industry collaborations.

🏅 Awards and Recognition

Karthik K has been recognized for his contributions to artificial intelligence and medical imaging research. He received the VIT Seed Grant (2023–2025) for his innovative project on AI-driven cricket commentary generation. Additionally, he has applied for the DST-SURE research grant, currently under review. His work in content-based medical image retrieval and deep neural networks for healthcare applications has been acknowledged in multiple international journals and conferences. Karthik has published several book chapters with ISBN numbers, showcasing his expertise in AI and deep learning. He actively collaborates with esteemed institutions and has been invited for editorial appointments in reputed journals. His research contributions have earned him membership in professional organizations such as IEEE and IAENG. With over 145 citations in SCI and Scopus-indexed publications, his work continues to impact the field of intelligent healthcare applications. His commitment to research excellence makes him a strong contender for prestigious awards.

🌍 Research Skills On Engineering

Karthik K possesses extensive research skills in computer vision, deep learning, and medical imaging. His expertise includes developing AI-driven frameworks for intelligent healthcare applications, enhancing medical scan quality, and implementing deep neural networks for automated medical image retrieval. He has successfully led research projects, including a DST-ECR-funded initiative at NITK Surathkal and ongoing consultancy projects. His ability to integrate AI with real-world healthcare challenges has resulted in significant innovations such as ViewNet for scan orientation and automated radiography report retrieval. Karthik’s research has been published in SCI and Scopus-indexed journals, contributing to the broader scientific community. He is skilled in grant writing, patent filing, and interdisciplinary collaborations, with active partnerships with NITK, NITPy, and VIT AP. His research acumen, combined with hands-on experience in deep learning and AI applications, positions him as a leader in advancing intelligent healthcare solutions through cutting-edge technology.

Publication Top Notes

Title: A deep neural network model for content-based medical image retrieval with multi-view classification
Authors: K Karthik, SS Kamath
Citation: 60
Year: 2021
Title: A hybrid feature modeling approach for content-based medical image retrieval
Authors: K Karthik, SS Kamath
Citation: 16
Year: 2018
Title: COVIDDX: AI-based Clinical Decision Support System for Learning COVID-19 Disease Representations from Multimodal Patient Data
Authors: V Mayya, K Karthik, KS Sowmya, K Karadka, J Jeganathan
Citation: 13
Year: 2021
Title: Analysis and prediction of fantasy cricket contest winners using machine learning techniques
Authors: K Karthik, GS Krishnan, S Shetty, SS Bankapur, RP Kolkar, TS Ashwin, …
Citation: 13
Year: 2021
Title: MSDNet: A deep neural ensemble model for abnormality detection and classification of plain radiographs
Authors: K Karthik, S Sowmya Kamath
Citation: 12
Year: 2023
Title: Deep neural models for automated multi-task diagnostic scan management—quality enhancement, view classification and report generation
Authors: K Karthik, S Kamath
Citation: 12
Year: 2021
Title: Automatic quality enhancement of medical diagnostic scans with deep neural image super-resolution models
Authors: K Karthik, SS Kamath, SU Kamath
Citation: 6
Year: 2020
Title: An automated robotic arm: a machine learning approach
Authors: NSK Rao, NJ Avinash, HR Moorthy, K Karthik, S Rao, S Santosh
Citation: 5
Year: 2021
Title: Automated view orientation classification for x-ray images using deep neural networks
Authors: K Karthik, S Kamath
Citation: 3
Year: 2021
Title: GAN-Based Encoder-Decoder Model for Multi-Label Diagnostic Scan Classification and Automated Radiology Report Generation
Authors: R Kumar, K Karthik, SS Kamath
Citation: 3

Miaomiao Ma | Engineering | Best Researcher Award

Posted on 03/02/202503/02/2025 by sciencefather

Prof. Miaomiao Ma | Engineering | Best Researcher Award

Prof. Miaomiao Ma, north china electric power university, China

Dr. Miaomiao Ma, born in February 1982, is a distinguished Chinese researcher specializing in model predictive control, optimal and robust control, and nonlinear control. Currently serving as an Associate Professor at the School of Control and Computer Engineering, North China Electric Power University, Beijing, he has made significant contributions to renewable power systems and mechatronic systems, particularly in automotive applications. With a strong foundation in control engineering, he has been actively involved in high-impact research and academic collaborations. Dr. Ma has held academic positions in China and Germany, including postdoctoral research at the University of Stuttgart under Prof. Frank Allgöwer. His research focuses on advanced control strategies for energy-efficient and resilient engineering systems. As an accomplished author, he has published extensively in leading journals and conferences, shaping the future of control theory applications in energy and automation. His expertise continues to influence both academia and industry.

Professional Profile

Suitability for the Research for Best Researcher Award – Miaomiao Ma

Dr. Miaomiao Ma is an accomplished researcher in control theory and engineering, particularly in model predictive control, optimal and robust control, and their applications in renewable power and mechatronic systems. His academic journey, from earning a Ph.D. from Jilin University to holding a prominent position as an Associate Professor at North China Electric Power University, highlights a strong foundation in both theoretical and applied research. His international exposure, including post-doctoral research at the University of Stuttgart under the supervision of Frank Allgöwer, further underscores his expertise in control engineering.

Dr. Ma has made significant contributions to the field, as evidenced by his extensive publication record in high-impact journals, including IEEE Transactions on Industrial Electronics, IET Renewable Power Generation, and ISA Transactions. His research primarily focuses on control strategies for micro-grids, wind energy systems, and power system stability, all of which are critical areas in modern energy and automation technologies. His innovative approaches, such as distributed moving horizon control and predictive load frequency control, have practical applications in optimizing energy efficiency and system stability. Additionally, his leadership in securing competitive research grants, including those from the Natural Science Foundation of China, further establishes his credibility as a leading researcher in his field.

🎓 Education

Dr. Miaomiao Ma earned his Ph.D. in Control Theory and Engineering from Jilin University in 2009, where he developed a disturbance attenuation control scheme for constrained systems under the guidance of Prof. Hong Chen. Prior to that, he completed his Master of Science in Control Theory and Engineering at Jilin University in 2006, focusing on robust control of active suspensions using LMI optimization. His undergraduate studies in Automation, also at Jilin University, provided him with a strong technical foundation in control engineering. Throughout his academic journey, Dr. Ma has consistently demonstrated excellence in control systems, optimization techniques, and predictive control methodologies. His educational background has played a pivotal role in shaping his research trajectory, leading to innovative contributions in model predictive control, nonlinear control strategies, and their applications in renewable energy and automotive systems. His commitment to education and research continues to drive advancements in control engineering.

💼 Professional Experience

Dr. Miaomiao Ma has accumulated extensive academic and research experience, currently serving as an Associate Professor at the School of Control and Computer Engineering, North China Electric Power University (NCEPU), since January 2015. Prior to this, he was an Assistant Professor at NCEPU from 2009 to 2014. His international exposure includes a postdoctoral research tenure at the Institute for Systems Theory and Automatic Control, University of Stuttgart, Germany, under Prof. Frank Allgöwer from 2012 to 2013. Additionally, he was a visiting scholar at the same institute in 2007 and 2006. His professional journey has been marked by cutting-edge research in predictive and robust control, contributing significantly to renewable energy integration, micro-grid systems, and automotive control applications. His collaborative efforts with international researchers have strengthened global advancements in power systems and control engineering, solidifying his reputation as a leading figure in his field.

🏅 Awards and Recognition

Dr. Miaomiao Ma’s contributions to control engineering and renewable energy systems have earned him several prestigious recognitions. He has received multiple research excellence awards for his work in model predictive control and distributed optimization. His papers have been widely cited, earning accolades in high-impact journals such as IEEE Transactions on Industrial Electronics and IET Renewable Power Generation. He has also been an invited speaker at international conferences, sharing insights on predictive control applications. His research projects have been supported by national and international funding agencies, reinforcing his expertise in control systems. Furthermore, Dr. Ma has been recognized as a leading scholar in his field, contributing to advancements in renewable energy integration, micro-grid optimization, and robust control mechanisms. His outstanding research achievements continue to inspire innovation and development in engineering applications worldwide.

🌍 Research Skill On Engineering

Dr. Miaomiao Ma possesses extensive research expertise in model predictive control, nonlinear control, and robust control strategies, particularly in renewable energy and automotive systems. His work focuses on optimizing micro-grid performance through distributed predictive control, ensuring stability in multi-area power systems. He specializes in H-infinity control, disturbance attenuation, and constrained optimization techniques, enhancing control strategies in energy systems. Dr. Ma’s interdisciplinary approach integrates control theory with mechatronics, resulting in innovative solutions for energy efficiency. His research methodologies involve algorithm development, simulation modeling, and real-time control implementations. With a strong publication record in renowned journals and conferences, he has contributed to shaping advanced control strategies for sustainable engineering. His collaborative projects with international researchers and institutions further demonstrate his ability to drive impactful research in modern control engineering applications.

Publication Top Notes

Title: Distributed model predictive load frequency control of the multi-area power system after deregulation
Authors: M Ma, C Zhang, X Liu, H Chen
Citations: 164
Year: 2016
Journal: IEEE Transactions on Industrial Electronics
Title: Distributed model predictive load frequency control of multi-area interconnected power system
Authors: M Ma, H Chen, X Liu, F Allgöwer
Citations: 134
Year: 2014
Journal: International Journal of Electrical Power & Energy Systems
Title: Moving Horizon Tracking Control of Wheeled Mobile Robots With Actuator Saturation
Authors: H Chen, MM Ma, H Wang, ZY Liu, ZX Cai
Citations: 99
Year: 2009
Journal: IEEE Transactions on Control Systems Technology
Title: LFC for multi‐area interconnected power system concerning wind turbines based on DMPC
Authors: M Ma, X Liu, C Zhang
Citations: 74
Year: 2017
Journal: IET Generation, Transmission & Distribution
Title: Disturbance attenuation control of active suspension with non-linear actuator dynamics
Authors: MM Ma, H Chen
Citations: 58
Year: 2011
Journal: IET Control Theory & Applications
Title: Power transfer characteristics in fluctuation partition algorithm for wind speed and its application to wind power forecasting
Authors: M Yang, D Wang, C Xu, B Dai, M Ma, X Su
Citations: 34
Year: 2023
Journal: Renewable Energy
Title: Maximum power point tracking and voltage regulation of two-stage grid-tied PV system based on model predictive control
Authors: M Ma, X Liu, KY Lee
Citations: 31
Year: 2020
Journal: Energies
Title: Constrained H₂ control of active suspensions using LMI optimization
Authors: M Ma, H Chen
Citations: 28
Year: 2006
Conference: Chinese Control Conference
Title: Robust MPC for the constrained system with polytopic uncertainty
Authors: X Liu, S Feng, M Ma
Citations: 23
Year: 2012
Journal: International Journal of Systems Science
Title: Moving horizon ℋ∞ control of variable speed wind turbines with actuator saturation
Authors: M Ma, H Chen, X Liu, F Allgöwer
Citations: 20
Year: 2014
Journal: IET Renewable Power Generation

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

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 📖

Siyuan Song | Engineering | Best Researcher Award

Posted on 10/01/202510/01/2025 by sciencefather

Assoc. Prof. Dr. Siyuan Song | Engineering | Best Researcher Award

Assoc. Prof. Dr. Siyuan Song, Arizona State University, United States

Dr. Siyuan Song is an Associate Professor at Arizona State University’s Del E. Webb School of Construction, within the School of Sustainable Engineering and the Built Environment. He specializes in construction safety, AI in construction, and workforce development. Dr. Song earned his Ph.D. in Civil Engineering from the University of Alabama, where he focused on construction equipment productivity. He has a strong background in construction engineering and management, which he combines with cutting-edge research in construction automation and robotics. He is dedicated to advancing safety in the construction industry through innovative training programs and workforce development initiatives. Dr. Song has contributed extensively to the field with a focus on enhancing safety protocols in high-risk environments, such as construction sites and surface mining.

Professional Profile

Suitability For the Best Researcher Award

Siyuan Song, Ph.D., is an exceptional candidate for the Research for Best Researcher Award due to his extensive contributions to construction safety, workforce development, and AI in construction. As an Associate Professor at Arizona State University, Dr. Song has built a distinguished academic and professional portfolio. His research focuses on addressing critical issues in construction, such as workplace safety, health training, automation, and robotics. His work aligns with key global challenges, particularly in improving safety and health conditions for construction workers, an area in which he has secured significant research funding.

Dr. Song’s professional achievements include receiving multiple prestigious awards, such as the Best Division Paper Award from the American Society for Engineering Education (ASEE) in 2023, and the Outstanding Contribution to Workplace Industry Training Award at the Immersive Learning Research Network (iLRN) Annual Conference in 2023. His dedication to advancing construction safety is evident in his leadership of numerous research projects funded by organizations like the Department of Labor (OSHA and MSHA), focusing on heat-related illness prevention, hazard awareness, and worker safety.

Education

Dr. Song completed his Ph.D. in Civil Engineering from the University of Alabama in 2017, where his dissertation focused on “Construction Equipment Travel Path Visualization and Productivity Evaluation.” He also holds a Master of Science in Civil Engineering, with a thesis on “Location-Based Tracking of Construction Equipment for Automated Cycle-Time Analysis.” His undergraduate degree, a Bachelor of Science in Construction Engineering and Management, was awarded by Suzhou University of Science and Technology in 2014. His academic path has been defined by his commitment to developing innovative solutions to enhance safety and productivity in the construction industry.

Professional Experience

Dr. Song has extensive teaching and research experience in the field of construction engineering. He currently serves as an Associate Professor at Arizona State University, where he focuses on AI-driven solutions in construction safety. Prior to this, Dr. Song was an Assistant Professor at the University of Alabama and the University of Southern Mississippi. His career has been marked by a strong focus on workforce safety, training, and the use of technology to address challenges in the construction sector. He has also contributed significantly to research grants related to occupational safety and health.

Awards and Recognition

Dr. Song has received numerous awards for his contributions to construction safety and engineering education. Notable honors include the 2023 Best Division Paper Award from the American Society for Engineering Education (ASEE) Annual Conference, and the 2023 University of Alabama 18 Under 31 Young Alumni Award. He also earned the 2022 ASCE ExCEEd Teaching Fellow Award for Excellence in Civil Engineering Education. Dr. Song’s early academic achievements were recognized through several awards at Suzhou University of Science and Technology, including the Outstanding Student Awards and Outstanding Student Leader awards, reinforcing his leadership and excellence in the field of engineering.

Research Skills On Engineering

Dr. Song’s research is focused on construction safety and the integration of AI and robotics into the industry. He has expertise in workforce development, workplace safety training, and the automation of construction processes. His research methods often combine traditional construction engineering approaches with emerging technologies like AI, data analytics, and robotics. Dr. Song is passionate about enhancing safety standards on construction sites and has developed training programs aimed at preventing heat-related illnesses and improving hazard awareness for workers in high-risk environments.

Publication Top Notes

Improving tolerance control on modular construction project with 3D laser scanning and BIM: A case study of removable floodwall project
- Authors: H Li, C Zhang, S Song, S Demirkesen, R Chang
- Citation: Applied Sciences 10 (23), 8680
- Year: 2020
Construction site path planning optimization through BIM
- Authors: S Song, E Marks
- Citation: ASCE International Conference on Computing in Civil Engineering 2019, 369-376
- Year: 2019
Fuzzy Multicriteria Decision‐Making Model for Time‐Cost‐Risk Trade‐Off Optimization in Construction Projects
- Authors: MA Alzarrad, GP Moynihan, MT Hatamleh, S Song
- Citation: Advances in Civil Engineering 2019 (1), 7852301
- Year: 2019
Impact variables of dump truck cycle time for heavy excavation construction projects
- Authors: S Song, E Marks, N Pradhananga
- Citation: Journal of Construction Engineering and Project Management 7 (2), 11-18
- Year: 2017
A study on assessing the awareness of heat-related illnesses in the construction industry
- Authors: S Song, F Zhang
- Citation: Construction Research Congress 2022, 431-440
- Year: 2022
Industrial safety management using innovative and proactive strategies
- Authors: S Song, I Awolusi
- Citation: Concepts, Applications and Emerging Opportunities in Industrial Engineering
- Year: 2020
Work-related fatalities analysis through energy source recognition
- Authors: S Song, I Awolusi, Z Jiang
- Citation: Construction Research Congress 2020, 279-288
- Year: 2020
A Software-Based Approach for Acoustical Modeling of Construction Job Sites with Multiple Operational Machines
- Authors: B Sherafat, A Rashidi, S Song
- Citation: Construction Research Congress 2020, 886-895
- Year: 2020
Steel manufacturing incident analysis and prediction
- Authors: S Song, Q Lyu, E Marks, A Hainen
- Citation: Journal of Safety, Health and Environmental Research 14 (1), 331-336
- Year: 2018
Impact of discretionary safety funding on construction safety
- Authors: S Song, I Awolusi, E Marks
- Citation: Journal of Safety Health and Environmental Research 13 (2), 378-384
- Year: 2017

Sayavur Bakhtiyarov | Engineering | Best Researcher Award

Posted on 08/01/202508/01/2025 by sciencefather

Prof. Dr. Sayavur Bakhtiyarov | Engineering | Best Researcher Award

Prof. Dr. Sayavur Bakhtiyarov, New Mexico Institute of Mining and Technology, United States

Dr. Sayavur I. Bakhtiyarov is a distinguished mechanical engineer and educator with over four decades of academic and research experience. Currently, a tenured Full Professor at New Mexico Institute of Mining and Technology (NMT), he has contributed significantly to advancements in thermal fluid systems and materials engineering. A US citizen fluent in multiple languages, Dr. Bakhtiyarov combines his global academic exposure from institutions in Azerbaijan, the UK, and the US to foster innovative solutions in engineering education and research. His leadership extends to roles as a department chair, senior lecturer, and chief scientist, including significant contributions to the US Department of Defense. With numerous accolades and publications, his work continues to inspire the next generation of engineers.

Professional Profile

Evaluation of Dr. S. A. Yavur I. Bakhtiyarov for the Research for Best Researcher Award

Summary of Suitability:

Dr. S. A. Yavur I. Bakhtiyarov, a distinguished professor at the New Mexico Institute of Mining and Technology, demonstrates exceptional qualifications for the Research for Best Researcher Award. With a prolific academic career spanning decades, Dr. Bakhtiyarov’s contributions to mechanical engineering, space safety, and nuclear safety are noteworthy. His international academic journey, which includes education and teaching in Azerbaijan, the United Kingdom, China, and the United States, highlights his global perspective and expertise.

His tenure as a researcher and educator is complemented by his extensive service to the U.S. Department of Defense and NASA. He has reviewed critical space safety protocols, contributed to nuclear safety assessments for space missions, and provided thought leadership in safety design for space operations. This unique combination of academic excellence and real-world application reflects his unparalleled dedication to advancing science and technology.

Education

Dr. Bakhtiyarov’s academic journey began with an Engineering Diploma in Petroleum Engineering from Azerbaijan Institute of Oil and Chemistry in 1974. He earned his Ph.D. in Mechanical Engineering in 1978, focusing on thermophysics at the Institute of Thermophysics of the Siberian Branch of the Russian Academy of Sciences. His exceptional work led to a Sc.D. in Mechanical Engineering from Azerbaijan National Academy of Sciences in collaboration with Birmingham University, UK, in 1992. This rigorous training equipped him with a strong foundation in engineering principles and advanced research methods. His educational background reflects a blend of diverse cultural and scientific insights, which he integrates into his teaching and research.

Professional Experience

Dr. Bakhtiyarov has held prestigious academic and research positions globally. Since 2016, he has been a tenured Full Professor at NMT, after serving as an Associate Professor and Department Chair. His career includes impactful roles such as Senior Lecturer under the Fulbright Program in Turkey and Research Professor at Auburn University. Notably, he contributed as Chief Scientist and Permanent Coordinator for the Interagency Nuclear Safety Review Panel with the US Department of Defense. Earlier, he served in academic roles at the Azerbaijan State Oil Academy, focusing on mechanical engineering innovations. His professional trajectory highlights leadership in engineering education, groundbreaking research, and safety standards in aerospace and defense projects.

Awards and Recognition

Dr. Bakhtiyarov’s contributions have earned him recognition as a leader in mechanical engineering and safety standards. He has received prestigious awards for his innovative research and service, including accolades from NASA and the US Department of Defense. His Fulbright Senior Lectureship showcases his global influence in advancing engineering education. As a member of several safety review panels, he has been instrumental in shaping policies for space operations, including NASA’s Nuclear Flight Safety Assurance Reviews. Additionally, his contributions to thermal-fluid sciences and materials engineering have garnered respect from professional societies and institutions worldwide.

Research Skills On Engineering

Dr. Bakhtiyarov is renowned for his expertise in thermal-fluid dynamics, materials science, and system safety engineering. He excels in conducting interdisciplinary research on energy systems, advanced materials, and thermophysics, integrating computational modeling and experimental methods. His skills in nuclear safety and aerospace engineering have contributed to critical projects for NASA and the Department of Defense. He is adept at leading research teams, publishing high-impact findings, and translating complex engineering concepts into practical applications. His work emphasizes sustainable technologies, space safety systems, and innovations in engineering education, demonstrating a unique blend of technical knowledge and visionary problem-solving.

Publication Top Notes

Title: An effect of Fe atom clusters doped CNTs on resistivity of PTFE dielectrics
Authors: Bakhtiyarov, S.I., Kutelia, E.R., Gventsadze, D., Bakhtiyarova, A.S., White, S.M.
Year: 2024
Title: Investigation of the Effect of Mutual Diffusion on Hydrodynamic Parameters under Fluid Displacement
Authors: Mamedov, I., Panahov, G., Bakhtiyarov, S., Museibli, P.
Year: 2024
Citations: 1
Title: Radiant flux reflectivity model of nanocomposite dielectric materials
Authors: Bakhtiyarov, S.I., Hassanalian, M., Bakhtiyarova, A.S., White, S.M.
Year: 2024
Title: SEM/EDS Investigation of Aluminized Deformable Austempered Ductile Iron with Al and AlCr Particle Slurries Before and After High-Temperature Oxidation
Authors: Tsurtsumia, O., Nadaraia, L., Kutelia, E., Khidasheli, N., Bakhtiyarov, S.
Year: 2024
Title: Hemispherical reflectance of PTFE + 10% wt. Fe Doped CNTs at simulated GEO electron irradiation conditions
Authors: Bakhtiyarov, S.I., Ferguson, D.C., Kutelia, E.R., Gventsadze, D.
Year: 2022
Citations: 2
Title: Linear and nonlinear aspects of space charge phenomena
Authors: Bakhtiyarov, S.I., Ferguson, D.C.
Year: 2022 (Book Chapter)
Title: Hemispherical reflectance of pristine PTFE at simulated GEO electron irradiation conditions
Authors: Bakhtiyarov, S.I., Ferguson, D.C., Kutelia, E.R., Gventsadze, D.
Year: 2022
Citations: 2
Title: Lab-on-A-chip compatible design laying over nanostructured silicon
Authors: Kheyraddini Mousavi, B., Kheyraddini Mousavi, A., Bakhtiyarov, S.
Year: 2021
Citations: 1
Title: An Effect of Electrokinetics Phenomena on Nonlinear Wave Propagation in Bubbly Liquids
Authors: Panahov, G., Abbasov, E., Bakhtiyarov, S., Museibli, P.
Year: 2021
Title: The effect of high-amplitude deformation and high-frequency magnetic field exposure on the elastic/inelastic properties of PTFE-based hybrid nanocomposite filled with Fe cluster-doped CNTs
Authors: Kutelia, E., Darsavelidze, G., Dzigrashvili, T., Kukava, T., Bakhtiyarov, S.
Year: 2021

Jingping Liu | Engineering | Best Researcher Award

Posted on 27/12/202427/12/2024 by sciencefather

Prof. Dr. Jingping Liu | Engineering | Best Researcher Award

Prof. Dr. Jingping Liu, Kunming University of Science and Technology, China

Jingping Liu, an Associate Professor at Kunming University of Science and Technology (KUST), holds a Ph.D. from Guangzhou Institute of Geochemistry, Chinese Academy of Sciences. With expertise in atmospheric science and engineering, her research focuses on heterogeneous photochemical reactions, indoor air pollution, and the catalytic degradation of sulfur and nitrogen-containing volatile organic compounds (VOCs). Since 2021, Dr. Liu has explored kinetics, mechanisms, and photochemistry of multiphase reactions on environmental surfaces, contributing to improved air quality and climate change models. Her prolific academic output includes over 48 SCI-indexed publications, with more than 1,400 citations and an h-index of 21. She has collaborated with leading global researchers and institutions, including the University of Pennsylvania and CNRS-IRCELYON. Her work has garnered recognition in prestigious journals such as Science Advances and Environmental Science & Technology, establishing her as a thought leader in atmospheric chemistry and industrial pollution control.

Professional Profile

Summary of Suitability for the “Research for Best Researcher Award”

Dr. Jingping Liu exemplifies excellence in the field of atmospheric science and environmental engineering, making him a strong candidate for the “Research for Best Researcher Award.” His academic journey, from earning a Ph.D. at the Guangzhou Institute of Geochemistry to becoming an Associate Professor at Kunming University of Science and Technology, highlights a career dedicated to advancing scientific understanding and addressing critical environmental challenges.

Dr. Liu’s research primarily focuses on the kinetics, mechanisms, and photochemistry of multiphase reactions on environmental and indoor surfaces, as well as innovative solutions for industrial VOC control. His work has significant real-world implications, contributing to improved air quality and climate change mitigation. With over 48 publications in high-impact journals such as Science Advances, JACS, and Environmental Science & Technology, his research outputs have garnered more than 1,400 citations, reflecting a strong influence in his field.

Education

Dr. Jingping Liu earned her Ph.D. in Atmospheric Chemistry from the Guangzhou Institute of Geochemistry, Chinese Academy of Sciences. Her academic journey reflects a steadfast commitment to exploring the science of air quality and environmental pollutants. She specialized in understanding heterogeneous photochemical reactions and their environmental impact, laying a strong theoretical foundation for tackling real-world pollution challenges. Dr. Liu actively engages in academic collaborations and research exchanges, contributing to her comprehensive grasp of atmospheric chemistry. Beyond her doctoral research, she has pursued specialized studies in catalysis, photochemistry, and pollutant control technologies, aligning her education with her mission to address pressing environmental challenges. These academic experiences have equipped her with the knowledge and research skills necessary to advance innovations in indoor air quality improvement and industrial VOCs control technologies, making her an influential voice in the scientific community.

Professional Experience

Dr. Jingping Liu is an Associate Professor at Kunming University of Science and Technology (KUST). She has extensive experience in atmospheric science and engineering, focusing on heterogeneous photochemical reactions and the mitigation of air pollution. Dr. Liu has led and contributed to numerous research projects, including four completed and five ongoing studies on photochemical reactions, indoor air quality, and VOC control technologies. She has collaborated with prominent researchers and institutions worldwide, such as Academician Joseph S. Francisco (University of Pennsylvania) and Professor Christian A. George (CNRS-IRCELYON). Dr. Liu has also actively participated in academic exchanges and conferences, sharing insights with the global scientific community. Her career achievements extend to mentoring young scientists, publishing influential research in high-impact journals, and enhancing KUST’s academic reputation. Through her innovative approach, she continues to make significant contributions to the fields of atmospheric chemistry and industrial pollution management.

Awards and Recognitions

Dr. Jingping Liu has achieved notable recognition in her field for her groundbreaking contributions to atmospheric science and environmental research. Her work has earned her several prestigious accolades, including high-impact publications in leading journals like Science Advances and Environmental Science & Technology. With over 1,400 citations and an h-index of 21, her research is widely referenced in the scientific community. Dr. Liu has collaborated with globally renowned researchers and institutions, which has further enhanced her academic and professional reputation. She has also contributed to significant advancements in VOC control technology and air quality improvement. Additionally, her innovative research has been recognized through successful patent publications, showcasing her practical applications of scientific discoveries. These honors reflect her dedication to advancing the understanding of environmental challenges and her commitment to developing sustainable solutions for air pollution and climate change.

Research Skills On Engineering

Dr. Jingping Liu excels in a diverse range of research skills pivotal to atmospheric science and environmental engineering. Her expertise includes designing and conducting advanced experiments to investigate heterogeneous photochemical reactions on environmental and indoor surfaces. She specializes in analyzing the formation mechanisms of pollutants such as HONO and brown carbon, utilizing state-of-the-art analytical techniques. Dr. Liu is adept at integrating photochemical models to enhance air quality and climate predictions. Her skillset extends to developing innovative technologies for industrial VOC degradation, emphasizing sulfur- and nitrogen-containing compounds. She also has extensive experience collaborating with international research teams, leveraging cross-disciplinary insights to address complex environmental challenges. With a keen eye for detail and a methodical approach, Dr. Liu has consistently contributed to impactful, data-driven solutions for air pollution control, making her an asset to both academia and industry.

Publication Top Notes

A systematic review of the source, formation mechanism, and environmental effects of HONO in the indoor air
- Authors: Lingling Li, Yuanzhe Li, Yanan Hu, Jingwei Zhang, Wei Du, Sasho Gligorovski, Jiangping Liu
- Citations: Crossref (no specific citation count available)
- Year: 2025
Resolving the Formation Mechanism of HONO via Ammonia-Promoted Photosensitized Conversion of Monomeric NO2 on Urban Glass Surfaces
- Authors: Jiangping Liu, Bai Li, Huifan Deng, Yan Yang, Wei Song, Xinming Wang, Yongming Luo, Joseph S. Francisco, Lei Li, Sasho Gligorovski
- Citations: Crossref (no specific citation count available)
- Year: 2023
Unraveling the Synergistic Reaction and the Deactivation Mechanism for the Catalytic Degradation of Double Components of Sulfur-Containing VOCs over ZSM-5-Based Materials
- Authors: Rui Tian, Jichang Lu, Zhizhi Xu, Wenjun Zhang, Jiangping Liu, Langlang Wang, Yibing Xie, Yutong Zhao, Xiaohua Cao, Yongming Luo
- Citations: Crossref (no specific citation count available)
- Year: 2023
Daytime SO2 chemistry on ubiquitous urban surfaces as a source of organic sulfur compounds in ambient air
- Authors: Huifan Deng, Pascale S. J. Lakey, Yiqun Wang, Pan Li, Jinli Xu, Hongwei Pang, Jiangping Liu, Xin Xu, Xue Li, Xinming Wang, et al.
- Citations: Crossref (no specific citation count available)
- Year: 2022

Julius Adinkrah | Engineering | Best Researcher Award

Posted on 09/12/202409/12/2024 by sciencefather

Mr. Julius Adinkrah | Engineering | Best Researcher Award

Mr. Julius Adinkrah, Kwame Nkrumah University of Science and Technology (KNUST), Ghana

Julius Adinkrah is a dedicated researcher and educator from Ghana, specializing in computer engineering and artificial intelligence. Currently pursuing a PhD in Computer Engineering at Kwame Nkrumah University of Science and Technology (KNUST), he has a strong academic foundation with an MPhil in Scientific Computing and Industrial Modelling and a BSc in Mathematics. His passion for AI applications in sustainable energy and data-driven solutions is evident in his impactful publications. Julius has demonstrated his commitment to advancing knowledge as a Teaching Assistant at KNUST and the University of Mines and Technology. His expertise spans programming languages, machine learning, and data analysis, complemented by scholarships like the ACE Impact Scholarship and AI for Development Africa Scholarship. Through his research and teaching, Julius strives to contribute innovative solutions to pressing global challenges while mentoring the next generation of technology leaders.

Professional Profile