Ruiming Xie | Robotics | Best Researcher Award

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Dr. Ruiming Xie | Robotics | Best Researcher Award

Student at Nanjing University of Science and Technology | China

Ruiming Xie is a dedicated researcher in the field of control theory, with a strong focus on stochastic nonlinear systems. She holds a master’s degree from Shandong University, China, and is currently pursuing her doctoral studies at Nanjing University of Science and Technology. Her academic journey reflects a deep commitment to advancing theoretical and applied aspects of control systems, particularly in the context of uncertainty and complex dynamical environments. Through rigorous research and innovative approaches, she has contributed valuable insights that enhance the understanding and development of stochastic control methodologies. Ruiming Xie has authored and co-authored multiple research papers, with 11 published documents that have collectively received 121 citations from 104 sources, demonstrating the impact and recognition of her work within the scientific community. Her research contributions have appeared in highly respected international journals, including IEEE Transactions on Automatic Control, IEEE Transactions on Cybernetics, the International Journal of Systems Science, and SCIENCE CHINA Information Sciences. She currently holds an h-index of 6, reflecting both the quality and influence of her scholarly output. Her work demonstrates a high level of analytical skill, mathematical precision, and a passion for solving intricate problems in system dynamics and automation. With her continuous pursuit of academic excellence, Ruiming Xie aims to expand the frontiers of control theory and its applications in real-world systems, fostering advancements that bridge the gap between theoretical models and practical engineering solutions. Her growing scholarly record underscores her potential as an emerging leader in control systems research, with a strong commitment to innovation, collaboration, and scientific progress.

Profile: Scopus

Featured Publications

Automatica. (2024). Erratum: Retraction notice to “Fixed-time Lyapunov criteria of stochastic nonlinear systems revisited and its applications” [Automatica 170 (2024) 111866]. Automatica, 170, S0005109824003601.

Ashish Ranjan Dash | Engineering | Best Researcher Award

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Dr. Ashish Ranjan Dash | Engineering | Best Researcher Award

Associate Professor at Centurion University of Technology and Management | India

Dr. Ashish Ranjan Dash is a highly accomplished academic and researcher in the field of electrical engineering, specializing in power electronics, multilevel inverters, and power quality improvement. With a proven track record in research, teaching, and project leadership, he has significantly contributed to advancements in smart infrastructure, renewable energy systems, and IoT-enabled agricultural automation. He has also played a pivotal role in supervising doctoral students, developing innovative solutions for industrial applications, and leading consultancy projects for technology-driven agriculture and smart systems.

Publication Profile 

Scopus

Google Scholar

Educational Background 

Dr. Dash earned his Ph.D. in Power Electronics from the National Institute of Technology (NIT) Rourkela, focusing on cascaded multilevel inverter-based shunt active filters under varying grid voltage conditions. He also holds an M.Tech. in Power Control and Drives from NIT Rourkela, where his dissertation explored control strategies for grid-connected inverter systems during fault conditions. His academic foundation is further strengthened by a B.Tech. in Electrical Engineering and a Diploma in Electrical Engineering, complemented by a strong record of academic excellence throughout his studies.

Professional Experience 

With over a decade of academic and research experience, Dr. Dash serves as an Associate Professor at Centurion University of Technology and Management, Odisha. His prior roles include research and academic positions in engineering colleges and at the Council of Scientific and Industrial Research. He has held key administrative positions such as Dean and Associate Dean of the School of Engineering and CEO of the Smart Infrastructure Research Center, where he has led interdisciplinary projects integrating IoT, automation, and renewable energy systems.

Research Interests 

His research focuses on power electronics, multilevel inverter design, power quality enhancement, electric vehicle charging infrastructure, smart grid systems, and IoT-enabled automation. He also works extensively on agricultural automation, including polyhouse automation, speed breeding chambers, and plant phenotyping systems. Emerging interests include machine learning applications for plant disease detection, robotics, and smart farming technologies.

Awards and Honors 

Dr. Dash has received multiple accolades, including the Distinguished Achiever Award at the Provost Research Awards and recognition as a session chair at IEEE international conferences. He is the founder of a technology-driven startup and actively engages in professional communities such as the IEEE Power Electronics Society, IEEE Industry Applications Society, and IEEE SIGHT.

Research Skills 

He possesses strong expertise in the design, modeling, and implementation of cascaded multilevel inverters, power quality control algorithms, and renewable energy integration. His skills extend to IoT-based system design, automation technologies, electric vehicle charging systems, and cloud-based agricultural monitoring. He is also an experienced reviewer for several high-impact international journals in power electronics and smart grid applications.

Publications 

A unified control of grid-interactive off-board EV battery charger with improved power quality

Citations: 49

Year: 2022

Reactive power compensation using vehicle-to-grid enabled bidirectional off-board EV battery charger

Citations: 34

Year: 2021

Adaptive LMBP training‐based icosϕ control technique for DSTATCOM

Citations: 33

Year: 2020

Analysis of PI and PR controllers for distributed power generation system under unbalanced grid faults

Citations: 33

Year: 2011

Design and implementation of a cascaded transformer coupled multilevel inverter‐based shunt active filter under different grid voltage conditions

Citations: 24

Year: 2019

Conclusion 

Dr. Ashish Ranjan Dash is a forward-looking researcher and educator whose work bridges advanced power electronics with practical applications in smart infrastructure and agricultural automation. His multidisciplinary expertise, leadership in funded projects, and dedication to mentoring the next generation of engineers make him a valuable contributor to both academia and industry. His continued research promises innovative advancements in electric mobility, renewable energy integration, and intelligent automation systems.