Xingyu Zhou | Engineering | Best Researcher Award

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Prof. Dr. Xingyu Zhou | Engineering | Best Researcher Award 

Assistant Professor | Beijing Institute of Technology | China

Dr. Zhou Xingyu, Assistant Professor at the Beijing Institute of Technology, is an accomplished researcher specializing in renewable energy and electric vehicles. He earned his Ph.D. in Vehicle Engineering from Chongqing University in 2020, following a Bachelor’s degree in Mechanical Design, Manufacturing, and Automation from the same institution. Dr. Zhou has extensive professional experience, including his current role as Assistant Professor at the School of Mechanical Engineering and Vehicle Engineering, Beijing Institute of Technology since March 2023, and a postdoctoral fellowship at the same institute from 2020 to 2023, where he contributed to the National Engineering Research Center for Electric Vehicles. His research interests focus on vehicle powertrain optimization, intelligent energy management, stochastic and data-driven modeling, and electric vehicle motion planning for enhanced energy efficiency. He has demonstrated expertise in multi-objective optimization, machine learning applications for powertrain design, and integration of fuel cell and hybrid electric vehicle systems. Dr. Zhou has led and participated in multiple high-impact research projects, including a National Natural Science Foundation of China Youth Project and key provincial and national projects on electric vehicle energy optimization and system integration. He has published 27 Scopus-indexed documents with 448 citations and an h-index of 11, in reputed journals such as Applied Energy, Journal of Power Sources, Journal of Cleaner Production, and IEEE Transactions on Vehicular Technology, serving frequently as corresponding author. His awards and honors include the Best Student Paper Award at the 2018 Italian Conference on Machines and Mechanisms. In addition, he contributes to the academic community as a reviewer for top journals and Guest Editor of Sustainability. Dr. Zhou Xingyu’s strong technical expertise, leadership in research projects, international collaborations, and commitment to sustainable innovation make him a highly deserving candidate for the Best Researcher Award, reflecting both outstanding academic achievements and meaningful contributions to advancing green mobility and energy-efficient transportation solutions globally.

Profiles: Scopus | ORCID

Featured Publications

Sun, C., Zhang, C., Sun, F., & Zhou, X. (2022). Stochastic co-optimization of speed planning and powertrain control with dynamic probabilistic constraints for safe and ecological driving. Applied Energy, 35, 119874.

Zhou, X., Sun, C., Sun, F., & Zhang, C. (2022). Commuting-pattern-oriented optimal sizing of electric vehicle powertrain based on stochastic optimization. Journal of Power Sources, 545, 23178.

Zhou, X., Sun, F., Zhang, C., & Sun, C. (2022). Stochastically predictive co-optimization of speed planning and powertrain controls for electric vehicles driving in random traffic environment safely and efficiently. Journal of Power Sources, 528, 231200.

Zhou, X., Sun, F., Sun, C., & Zhang, C. (2022). Predictive co-optimization of speed planning and powertrain energy management for electric vehicles driving in traffic scenarios: Combining strengths of simultaneous and hierarchical methods. Journal of Power Sources, 523, 230910.

Zhou, X., Sun, F., & Sun, C. (2021). Machine learning aided methods for reducing the dimensionality of the comprehensive energy economy optimization of fuel cell powertrains. Journal of Cleaner Production, 327, 129250.

Akshatha P S | Engineering | Best Researcher Award

Published on by Best Paper Awards

Assist. Prof. Dr. Akshatha P S | Engineering | Best Researcher Award

Senior Assistant Professor | New Horizon College of Engineering | India

Dr. Akshatha P. S is a Senior Assistant Professor in the Department of Artificial Intelligence and Machine Learning at New Horizon College of Engineering, Bengaluru, where she has established herself as a committed academician and an innovative researcher. She earned her Ph.D. in Computer Science and Engineering from Bangalore University in 2023, focusing her doctoral research on enhancing the security and reliability of MQTT protocols in IoT networks. With a strong educational foundation and passion for advancing technology, she has accumulated several years of professional experience in teaching, research, and academic coordination, mentoring students while contributing significantly to the growth of her institution. Her research interests span across Computer Networks, Internet of Things, Artificial Intelligence, secure communication systems, and blockchain integration, reflecting her dedication to solving real-world problems through emerging technologies. She possesses excellent research skills, demonstrated by her prolific output of over 49 publications in high-impact platforms including IEEE Q1 journals, Scopus-indexed conferences, and Springer book chapters, along with 12 patents filed in areas such as IoT, AI, and blockchain-based solutions. Beyond research and teaching, Dr. Akshatha has actively engaged in professional memberships with IEEE, ORCID, and Scopus, which highlight her academic presence, while her leadership in organizing workshops, delivering invited talks, and contributing to knowledge dissemination reflects her broader academic and societal impact. Recognized for her contributions, she has been honored with accolades in research and innovation, further strengthening her professional reputation. In conclusion, Dr. Akshatha P. S embodies the qualities of a forward-looking researcher and dedicated educator whose work bridges academia and industry, and with her growing global presence, research vision, and commitment to student development, she continues to emerge as an inspiring figure and a deserving candidate for prestigious recognitions and awards.

Profile: Scopus | ORCID

Featured Publications

  1. Akshatha, P. S., & Dilip Kumar, S. M. (2023). Analysis and evaluation of MQTT brokers for e-Healthcare applications. IEEE Transactions on Industrial Informatics.

  2. Akshatha, P. S., & Dilip Kumar, S. M. (2023). Context-aware enhancement of buffer utilization in MQTT-based IoT communication. International Journal of Communication Networks and Distributed Systems. (In press).

  3. Akshatha, P. S., Divyashree, S., & Dilip Kumar, S. M. (2023). Priority-enabled MQTT: A robust approach to emergency event messaging. Journal of Engineering and Applied Science, Springer. (In press).

  4. Akshatha, P. S., & Dilip Kumar, S. M. (2023). MQTT and blockchain sharding: An approach to user-controlled data access with improved security and efficiency. Blockchain: Research and Applications, Elsevier. (In press).

  5. Akshatha, P. S., Dilip Kumar, S. M., & Venugopal, K. R. (2022). MQTT implementations, open issues, and challenges: A detailed comparison and survey. International Journal of Sensors, Wireless Communications and Control, 12(8), 553–576.