Eirini Eleni Tsiropoulou | Engineering | Best Researcher Award

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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

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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

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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.

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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

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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.

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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

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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

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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.

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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

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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

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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.

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🎓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 📖

Sayavur Bakhtiyarov | Engineering | Best Researcher Award

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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.

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Scopus

🌟  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

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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.

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🌟 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

 

Asad Ali | Engineering | Best Researcher Award

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Dr. Asad Ali | Engineering | Best Researcher Award

Dr. Asad Ali, Jiangsu University, China

Asad Ali is a dynamic and passionate Mechanical Engineer with a strong focus on fluid machinery, turbomachinery, and two-phase flow in pumps. Holding a Ph.D. from Jiangsu University, his research spans across various areas of power engineering, thermo-physics, and fluid dynamics. Ali is known for his hands-on approach to problem-solving and his ability to thrive both independently and as part of a collaborative team. With an impressive academic record and a love for challenges, Ali continuously seeks to apply innovative solutions in engineering. He is also actively involved in academic events and has been recognized for his contributions to research and innovation.

Professional Profile

scopus

Suitability of Summary

Asad Ali is highly suitable for the “Research for Best Researcher Award” due to his extensive academic background, valuable contributions to mechanical engineering, and significant research in fluid machinery and two-phase flow dynamics. Holding a Ph.D. in Mechanical Engineering from Jiangsu University, Asad has demonstrated exceptional expertise in fluid mechanics, multiphase flow modeling, and pump performance analysis, specifically in the areas of gas-liquid two-phase flow in electrical submersible pumps and centrifugal pumps.

His research, particularly his work on unsteady gas-liquid two-phase flow, has not only advanced knowledge in his field but also provided practical insights into reducing noise and improving the efficiency of pumps in various industrial applications. Asad’s thesis on “Performance Evaluation and Unsteady Inner-Flow Characteristics of Mixed-Flow Type Electrical Submersible Pumps” is a notable example of his ability to merge experimental and computational methods to address real-world engineering challenges.

Education

Asad Ali earned his Ph.D. in Mechanical Engineering from Jiangsu University in 2023, with a specialization in Power Engineering and Engineering Thermo-physics. His thesis focused on “Numerical and Experimental Study on Performance Evaluation and Unsteady Inner-Flow Characteristics of Mixed-Flow Type Electrical Submersible Pumps under Gas-Liquid Two-Phase Flow.” Prior to his doctoral work, he completed an M.Sc. in the same field at Jiangsu University with a distinction (89.9%). His undergraduate studies were completed at the University of Agriculture, Faisalabad, where he obtained a B.Sc. in Agricultural Engineering, graduating with an A+ grade and a CGPA of 3.61. Ali’s academic journey is marked by excellence in both theoretical and applied engineering concepts, preparing him to tackle complex engineering challenges with advanced methodologies.

Professional Experience 

Asad Ali has honed his skills through various internships and research roles. He worked as a Ph.D. researcher at Jiangsu University, focusing on experimental and computational analysis of two-phase flow in electrical submersible pumps (ESP). His work involved simulating, experimenting, and visualizing the gas-liquid flow to evaluate pump performance. He also interned at the Water Management Training Institute (WMTI), Lahore, where he gained hands-on experience in water management systems and pump technology. Ali contributed significantly to organizing conferences such as the “14th Asian International Conference on Fluid Machinery” at Jiangsu University, showcasing his leadership and organizational skills. His technical expertise spans fluid mechanics, multiphase flow modeling, and pump acoustics, positioning him as a versatile engineer capable of addressing critical engineering problems.

Awards and Recognition 

Asad Ali’s contributions togi have earned him numerous accolades. He was awarded the prestigious “Best Sino-Foreign Joint Innovation Award” by Jiangsu University in 2020 for his outstanding research. Ali was also recognized with the “Best Volunteer Award” for his exceptional organizational skills during the “14th International Conference on Fluid Machinery.” In recognition of his academic excellence, Ali has been a recipient of multiple scholarships, including the Chinese Government’s “CSC Scholarship” for both his M.Sc. and Ph.D. studies. His achievements in academia were further honored with the “PEEF Merit Scholarship” from the Punjab Government of Pakistan during his undergraduate years. Ali’s work has not only been recognized locally but also internationally, as his publications in renowned journals such as Heliyon and Physics of Fluids have added significant value to the field of mechanical and fluid engineering.

Research Skills 

Asad Ali possesses strong research skills, with a deep understanding of fluid dynamics, particularly in the areas of multiphase flow and turbomachinery. His expertise includes numerical simulations, experimental testing, and the application of computational fluid dynamics (CFD) techniques to analyze and optimize the performance of mechanical systems like electrical submersible pumps (ESPs). He is proficient in using industry-standard software tools such as ANSYS, AutoCAD, and Pro-E for modeling and analysis. Ali is well-versed in noise reduction techniques, cavitation analysis, and the study of gas-liquid two-phase flow in pumps. His research also includes experimental validation of theoretical models, and he has published several high-impact papers on topics like energy performance and noise characteristics in centrifugal pumps. Ali’s research is centered on creating innovative solutions to improve efficiency and reduce noise and vibration in fluid machinery.

Publication Top Notes

1. The influence of water vapor on the internal flow characteristics within a hydrogen circulation pump
  • Authors: Ma, Q., Xia, Q., Wang, Q., Gao, G., Fall, I.
  • Publication Year: 2024
  • Citations: 1
2. CFD study of self-cleaning system of multi-stage tangential roller threshing unit for precise buckwheat breeding
  • Authors: Hussain, S., Jianjun, H., Yong, C., Ghafoor, A., Ahmed, M.
  • Publication Year: 2024
  • Citations: 1
3. Comprehensive analysis and identification of energy performance and unsteady two-phase flow patterns based on experiments and comparison between two distinct multiphase flow models
  • Authors: Ali, A., Yuan, J., Si, Q., Yolandani, Y., Fall, I.
  • Publication Year: 2024
  • Citations: 0
4. Small hydropower generation using pump as turbine; a smart solution for the development of Pakistan’s energy
  • Authors: Ali, A., Yuan, J., Javed, H., Osman, F.K., Islam, R.U.
  • Publication Year: 2023
  • Citations: 11
5. Prediction of hydrodynamic noise in ducted propeller using flow field-acoustic field coupled simulation technique based on novel vortex sound theory
  • Authors: Si, Q., Ali, A., Tian, D., Cheng, X., Yuan, J.
  • Publication Year: 2023
  • Citations: 7
6. Study on flow-induced noise propagation mechanism of cylinder-airfoil interference model by using large eddy simulation combined with vortex-acoustic equation
  • Authors: Qiaorui, S., Liu, J., Ali, A., Hong, X., Iqbal, S.
  • Publication Year: 2023
  • Citations: 3
7. Numerical and Experimental Investigation on Unsteady Flow and Hydraulic Radial Force of Low-Head Axial Flow Turbine
  • Authors: Sunsheng, Y., Ohiemi, I.E., Singh, P., Ali, A., Osman, F.
  • Publication Year: 2023
  • Citations: 2
8. Assessment of cavitation noise in a centrifugal pump using acoustic finite element method and spherical cavity radiation theory
  • Authors: Si, Q., Ali, A., Liao, M., Yuan, S., Bois, G.
  • Publication Year: 2023
  • Citations: 16
9. Intelligent Identification of Cavitation State of Centrifugal Pump Based on Support Vector Machine
  • Authors: He, X., Song, Y., Wu, K., Shen, C., Si, Q.
  • Publication Year: 2022
  • Citations: 1
10. Investigation of energy performance, internal flow and noise characteristics of miniature drainage pump under water–air multiphase flow: design and part load conditions
  • Authors: Ali, A., Si, Q., Yuan, J., Awais, M., Aslam, B.
  • Publication Year: 2022
  • Citations: 11