Chih-Lyang Hwang | Electrical Engineering | Best Researcher Award

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Prof. Chih-Lyang Hwang | Electrical Engineering | Best Researcher Award

National Taiwan University of Science and Technology | Taiwan

Dr. Chih-Lyang Hwang (SM’08) is a distinguished researcher and academic in the field of electrical and mechanical engineering, currently serving as a Research Fellow at the Intelligent Robot Center, National Taiwan University of Science and Technology (NTUST), Taipei, Taiwan. He earned his Ph.D. in Mechanical Engineering from Tatung Institute of Technology  and subsequently held professorial positions at Tatung Institute of Technology, Tamkang University, and NTUST. With an extensive academic career spanning over three decades, he has contributed significantly to robotics, fuzzy neural modeling, nonlinear control, and human–robot interaction. His research also encompasses distributed visual and wireless localization, UAV control, and emotion recognition. Dr. Hwang has been a Visiting Scholar at Georgia Institute of Technology and Auburn University, broadening his international academic collaborations. He has authored numerous influential journal and conference papers, amassing over 3,383 citations, 533 documents, and an H-index of 29. Recognized among the world’s top 2% scientists by Stanford University for multiple years, he has also received Excellent and Outstanding Research Awards from NTUST and 2024. His enduring contributions continue to advance intelligent robotics and control systems research globally.

Profile : Google Scholar

Featured Publications

Hwang, C.-L., Yang, C.-C., & Hung, J.-Y. (2017). Path tracking of an autonomous ground vehicle with different payloads by hierarchical improved fuzzy dynamic sliding-mode control. IEEE Transactions on Fuzzy Systems, 26(2), 899–914.

Hwang, C.-L., Jan, C., & Chen, Y.-H. (2001). Piezomechanics using intelligent variable-structure control. IEEE Transactions on Industrial Electronics, 48(1), 47–59.

Hwang, C.-L., Chang, L.-J., & Yu, Y.-S. (2007). Network-based fuzzy decentralized sliding-mode control for car-like mobile robots. IEEE Transactions on Industrial Electronics, 54(1), 574–585.

Hwang, C.-L., Chiang, C.-C., & Yeh, Y.-W. (2013). Adaptive fuzzy hierarchical sliding-mode control for the trajectory tracking of uncertain underactuated nonlinear dynamic systems. IEEE Transactions on Fuzzy Systems, 22(2), 286–299.

Hwang, C.-L. (2004). A novel Takagi–Sugeno-based robust adaptive fuzzy sliding-mode controller. IEEE Transactions on Fuzzy Systems, 12(5), 676–687

Jiuping Xu | Petroleum Engineering | Best Researcher Award

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Prof. Jiuping Xu | Petroleum Engineering | Best Researcher Award

Sichuan University, Business School | China

Prof. Jiuping Xu of Sichuan University is a distinguished scholar whose research spans applied mathematics, system science and complex-systems engineering, with a focus on decision and technology innovation for large-scale energy, environment, water-resource, circular economy and health-management systems. Educated with a PhD in applied mathematics from Tsinghua University under Prof. Shutie Xiao and a second PhD in physical chemistry from Sichuan University under Prof. Jiuli Luo, he has built a career at the interface of mathematics and engineering practice. He formulated the “TS-MG-AC” (Theory Spectrum Model Group Algorithm Cluster) paradigm for multivariate-multilevel systems, and developed multilevel dynamic equilibrium approaches in areas such as water allocation, circular economy systems and hydropower project management. His applied work has delivered significant societal and economic impact (for example in post-earthquake ecosystem reconstruction, irrigation-district water allocation and large hydropower construction). With an h-index of approximately 62 and over 14,979 citations, his publication output and influence are substantial. He has held leadership roles in major engineering-science teams and has contributed to policy formulation in China for resource, seismic-ecosystem and environmental systems. His research interests include fuzzy logic, multi-criteria decision making, large-scale system optimisation, circular economy modelling and low-carbon infrastructure innovation. In conclusion, Professor Xu is a prolific and impactful systems-engineer-scientist whose theoretical and applied contributions bridge mathematics, optimisation, engineering and environmental-economics to address pressing global challenges.

Profile : Scopus

Featured Publications

Xu, J., et al. (2025). Comprehensive benefits evaluation of low impact development using scenario analysis and fuzzy decision approach. Scientific Reports.

Xu, J., et al. (2025). Parental expectation and psychological distress of Chinese youth: The chain mediating effects of core self-worth and perceived stress. BMC Public Health.

Xu, J., et al. (2025). A co-gasification strategy of residual municipal solid waste and biomass for electricity generation optimization and carbon reduction. Energy.

Xu, J., et al. (2025). Predict-then-optimise based day-ahead scheduling towards demand response and hybrid renewable generation for wastewater treatment. Applied Energy.

Xu, J., et al. (2025). Industrial prosumption-based energy transition technologies investigation for wastewater sector. Renewable and Sustainable Energy Reviews.

Mehrdad Esmaeilipour | Electrical Engineering | Engineering Talent Award

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Mr. Mehrdad Esmaeilipour | Electrical Engineering | Engineering Talent Award

Arya Plasma Gostar Pars | Iran

Mehrdad Esmaeilipour is an accomplished Electronics Engineer with extensive experience in green technology, digital health, and smart systems innovation. Holding a Bachelor’s degree in Electronics Engineering Technology from Islamic Azad University, he has applied his expertise as a Senior Electronics Engineer at Arya Plasma Gostar Pars Company, leading projects in cold plasma systems, air purification, and wastewater treatment technologies. As the founder and CEO of Parsa Pardazesh Bushehr Sanat Company (PPBS Co.), he has combined technical excellence with entrepreneurial vision, fostering innovation, employment, and social impact. His research spans artificial intelligence, robotics, smart wearable devices, renewable energy systems, and electronic circuit optimization, leading to multiple patents, including a novel smart bracelet for visually impaired individuals. He has authored several books and journal articles on photovoltaic systems, electrical safety, robotics, and AI applications, contributing to both academic and industrial advancements. With conference presentations in Europe, Iran, and beyond, he has gained international recognition through numerous awards such as the Best Wearable Sensing Technology Award 2025 and the Global Recognition Award 2025. Dedicated to leveraging electronics for environmental sustainability and human welfare, Mehrdad continues to integrate research, innovation, and mentorship, shaping the future of smart systems and sustainable engineering.

Profile :  Google Scholar

Featured Publications

Esmaeilipour, M., & Zalzar, M. H. (2025). Design, construction and performance comparison of fuzzy logic controller and PID controller for two-wheel balance robot (smart sensors). Applied Mathematics on Science and Engineering, 2(1), 36–47.

Esmaeilipour, M. (2025, July). Advances and challenges in lithium-ion battery technology. In Proceedings of the 2nd International Conference on Electrical, Mechanical, Information Technology and Computer in Engineering Sciences (Naples, Italy).

Esmaeilipour, M. (2025, May). Design of an optimal proportional-integral-derivative controller utilizing AI techniques for brushless direct current motor with phase shift. In Proceedings of the International Conference on Computer, Electrical, Mechanical and Engineering Science (Eindhoven, Netherlands).

Esmaeilipour, M. (2025, June). Advancements in cold plasma technology for electronic and surface sterilization applications. In Proceedings of the 9th International Conference on Science and Technology of Electrical, Computer and Mechanical Engineering (Iran).

Esmaeilipour, M. (2025, February). Design, construction and performance comparison of fuzzy logic controller and PID controller for two-wheel balance robot. In Proceedings of the 10th International Conference on Electrical Engineering, Computer, Mechanics and Artificial Intelligence (Mashhad, Iran).

Hacene Mellah | Electrical Engineering | Best Researcher Award

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Dr. Hacene Mellah | Electrical Engineering | Best Researcher Award

bouira university | Algeria

Dr. Hacene Mellah is an Associate Professor of Electrical Engineering at Université de Bouira, Algeria. His education includes an Ingenieur degree (2006) with a focus on electrical machine control, a Magister (2009) in electrical machines and control, a PhD (2020) in electrical machines, and his habilitation à diriger des recherches (HDR). He conducts research in estimation techniques of intrinsic machine parameters and thermal behaviour, fault diagnosis, renewable energy systems (wind, PV, hybrid), and control strategies for advanced electrical machines and drives. According to the AD Scientific Index (2025), his total h-index is 7, with about 91 citations and 24 indexed documents. A recent years his work has focused on observer design, neural networks, finite element modelling (FEM), and smart control of doubly fed induction generators among other topics. He has published in a number of peer-reviewed journals as well as international conferences. His contributions have enhanced understanding of sensorless control, fault modelling, and thermal monitoring for electrical machines, particularly under transient or non-linear conditions. Looking forward, he aims to expand his research in intelligent control, sustainable energy integration, and improved diagnostics. He seeks collaborations and impact through both theoretical development and practical applications in electrical drive systems.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Sahraoui, H., Mellah, H., Drid, S., & Chrifi-Alaoui, L. (2021). Adaptive maximum power point tracking using neural networks for photovoltaic systems according grid. Electrical Engineering & Electromechanics, (5), 57–66.

Mellah, H., Hemsas, K. E., & Taleb, R. (2016). Intelligent sensor based Bayesian neural network for combined parameters and states estimation of a brushed DC motor. International Journal of Advanced Computer Science and Applications (IJACSA), 7(7), 230–235.

Mellah, H., & Hemsas, K. E. (2013). Simulations analysis with comparative study of a PMSG performances for small WT application by FEM. International Journal of Energy Engineering, 3(2), 55–64.

Maafa, A., Mellah, H., Ghedamsi, K., & Aouzellag, D. (2022). Improvement of sliding mode control strategy founded on cascaded doubly fed induction generator powered by a matrix converter. Engineering, Technology & Applied Science Research, 12(5), 9217–9223.

Bounasla, N., Hemsas, K. E., & Mellah, H. (2015). Synergetic and sliding mode controls of a PMSM: A comparative study. Journal of Electrical and Electronic Engineering, 3(1-1), 22–26.