Daxiong Ji | Data Analysis | Research Excellence Award

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Dr. Daxiong Ji | Data Analysis | Research Excellence Award

Zhejiang University | China

Dr. Daxiong Ji is an Associate Professor at the Institute of Marine Electronics and Intelligent Systems, Ocean College, Zhejiang University, and a Senior Member of IEEE. He earned his Ph.D. in Pattern Recognition and Intelligent Systems from the University of Chinese Academy of Sciences and a B.S. in Automation from Wuhan Polytechnic University. Dr. Ji has held visiting scholar positions at the University of Melbourne, University of Plymouth, and University of Victoria, collaborating internationally on advanced marine robotics research. His expertise spans automatic control, artificial intelligence applications, autonomous marine robotics, electrical engineering, and intelligent systems. He has supervised numerous undergraduate, master’s, and doctoral students, leading courses on Marine Robot Design, Marine Intelligent Systems, and Professional Practices. Dr. Ji has received multiple honors, including the First Prize of Zhejiang Provincial Teaching Achievement Award, recognition as an Excellent Moral Education Mentor, and awards for scientific and technological achievements from the Chinese Academy of Sciences. He has led and participated in numerous national and international research projects, focusing on autonomous navigation, fault diagnosis, and data-driven control of underwater vehicles. Dr. Ji is also an accomplished inventor with multiple patents in underwater robotics and autonomous systems. His research has been widely published in top journals, reflecting significant contributions to marine intelligent systems.

Profiles : Orcid | Google Scholar

Featured Publications

Ji, D.; Ogbonnaya, S.G.; Hussain, S.; Hussain, A.F.; Ye, Z.; Tang, Y.; Li, S. Three-Dimensional Dynamic Positioning Using a Novel Lyapunov-Based Model Predictive Control for Small Autonomous Surface/Underwater Vehicles. Electronics, 2025, 14(3), 489.

Xu, L.; Ji, D. Online Fault Diagnosis Using Bioinspired Spike Neural Network. IEEE Transactions on Industrial Informatics, 2024.

Zhou, J.; Ye, Z.; Zhao, J.; Ji, D.; Peng, Z.; Lu, G.; Tadda, M.A.; Shitu, A.; Zhu, S. Multi-detector and Motion Prediction-Based High-Speed Non-Intrusive Fingerling Counting Method. Biosystems Engineering, 2024, 218, 1–15.

Ji, D.; Wang, R. Path Following of QAUV Using Attitude-Velocity Coupling Model. Ocean Engineering, 2024, 293, 116885.

Ji, D.; Cheng, H.; Zhou, S.; Li, S. Dynamic Model-Based Integrated Navigation for a Small and Low-Cost Autonomous Surface/Underwater Vehicle. Ocean Engineering, 2023, 273, 114091.

Samaneh Saeedinia | Engineering | Best Researcher Award

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Prof.Dr. Samaneh Saeedinia | Engineering | Best Researcher Award

Iran University of Science and Technology | Iran

Dr. Samaneh Alsadat Saeedinia is an accomplished researcher and engineer specializing in Control Electrical Engineering, Computational Neuroscience, Robotics, and Artificial Intelligence. She earned her Ph.D. from Iran University of Science and Technology (IUST), where her thesis focused on designing and stabilizing intelligent decision-making systems to support the treatment of adult focal epilepsy, receiving an excellent grade. She also holds a Master’s degree in Control Electrical Engineering from IUST and a Bachelor’s degree from Imam Khomeini International University. Dr. Saeedinia has extensive experience in signal processing, machine learning, spiking neural networks, EEG and MRI data analysis, and adaptive control systems. She has contributed to numerous high-impact publications in IEEE Transactions, Scientific Reports, and other international journals. Her research interests include computational modeling, intelligent control, data fusion, robotics path planning, and neuroinformatics. Beyond academia, she has led industrial projects in electrical power systems, automation, and instrumentation. She has received multiple awards, including the Khwarizmi International Award and top ranks in academic performance. Dr. Saeedinia is also an experienced educator and mentor, guiding students in advanced control systems, neural networks, and data analysis. Her work bridges engineering, neuroscience, and artificial intelligence, aiming to develop innovative solutions for healthcare and robotic applications.

Profile : Google Scholar

Featured Publications

Saeedinia, S.A., Jahed-Motlagh, M.R., Tafakhori, A., & Kasabov, N.K. (2024). “Diagnostic biomarker discovery from brain EEG data using LSTM, reservoir-SNN, and NeuCube methods in a pilot study comparing epilepsy and migraine” in Scientific Reports, 14(1), 10667.

Mohaghegh, M., Saeedinia, S.A., & Roozbehi, Z. (2023). “Optimal predictive neuro-navigator design for mobile robot navigation with moving obstacles” in Frontiers in Robotics and AI, 10, 1226028.

Roozbehi, Z., Narayanan, A., Mohaghegh, M., & Saeedinia, S.A. (2024). “Dynamic-structured reservoir spiking neural network in sound localization” in IEEE Access, 12, 24596–24608.

Saeedinia, S.A., & Tale Masouleh, M. (2022). “The synergy of the multi-modal MPC and Q-learning approach for the navigation of a three-wheeled omnidirectional robot based on the dynamic model with obstacle collision” in Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science.

Roozbehi, Z., Narayanan, A., Mohaghegh, M., & Saeedinia, S.A. (2025). “Enhanced Multiple Sound Event Detection and Classification Using Physical Signal Properties in Recurrent Spiking Neural Networks” in IEEE Access.

Ashutosh K Giri | Engineering | Best Researcher Award

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Dr. Ashutosh K Giri | Engineering | Best Researcher Award

Government Engineering College Bharuch | India

Dr. Ashutosh K. Giri is an Assistant Professor in the Department of Electrical Engineering at Government Engineering College, Bharuch, Gujarat, India, with over 20 years of teaching and research experience. He earned his Ph.D. from Sardar Vallabhbhai National Institute of Technology (SVNIT), Surat, focusing on control algorithms for power quality issues in wind-based distributed power generation systems. He also holds an M.E. in Electrical Engineering from L.D. College of Engineering, Gujarat University, and a B.Tech in Electrical Engineering from G.B. Pant University of Agriculture and Technology, Pantnagar. Dr. Giri’s research interests include renewable energy power converters, microgrid topology, operation and control, power quality enhancement, electric vehicle technologies, and adaptive control algorithms. He has published extensively in leading journals including IEEE, IET, Springer, Wiley, Elsevier, and Taylor & Francis, authored and edited multiple international books, and contributed to state- and national-level funded research projects. His work has been cited 478 times across 234 documents, with an h-index of 14, reflecting his significant impact in the field. Recognized among the top 2% of scientists globally, Dr. Giri continues to advance research and innovation in distributed generation systems and renewable energy, mentoring students and contributing to the scientific community through high-quality research and academic leadership.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Joshi, D., Deb, D., & Giri, A. K. (2025). “Metaheuristic adaptive input output feedback linearization control for BLDC motor drive” in IEEE Transactions on Consumer Electronics.

Kanojia, S. S., Suthar, B. N., & Giri, A. K. (2025). “Hybrid optimization approach for optimal location of electric vehicle charging station (EVCS) in distribution network considering voltage stability” in Smart Grids and Sustainable Energy.

Kundu, S., Giri, A. K., & Kadiyan, S. (2025). “An adaptive mixed-step size normalized least means fourth control approach for stand-alone power generation system considering dynamic conditions” in IEEE Journal of Emerging and Selected Topics in Power Electronics.

Bhatt, K. A., Bhalja, B. R., & Giri, A. K. (2024). “Controlled single-phase auto-reclosing technique for shunt reactor compensated lines in electrical energy systems transmission lines” in International Journal of Ambient Energy.

Parmar, D. B., & Giri, A. K. (2024). “Integration of field-oriented and steady-state linear Kalman filter control in PMSG-based grid-connected system for improving voltage control and power balance operation” in Electrical Engineering.

Asifa Yesmin | Robust controller in resource constraint scenario | Excellence IN Research

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Asifa Yesmin | Excellence in Research Award Winner 2023  🏆

Dr. Asifa Yesmin : Robust controller in resource constraint scenario

Dr. Asifa Yesmin, Congratulations on being awarded the Excellence in Research Award for your work on "Robust Controller in Resource Constraint Scenario." Your outstanding contributions have earned you international recognition at the Research Data Analysis Excellence Awards. Well-deserved honor!

Professional profile:

Early Academic Pursuits:

Asifa Yesmin embarked on her academic journey with a Bachelor's in Power Electronic & Instrumentation from Jorhat Institute of Science & Technology in 2013, securing an impressive 81.2%. Following this, she pursued a Master's in Electronic Design and Technology at Tezpur University, achieving a notable percentage of 89.7 in 2016. Her academic prowess continued with a Ph.D. in Control System and Application at the National Institute of Technology Silchar, culminating in 2021.

Professional Endeavors:

With a solid academic foundation, Asifa delved into research and academia. She served as a Post Doctoral Fellow at the SysCon, Indian Institute of Technology Bombay, contributing to projects like Software-In-The-Loop validation of super twisting-based sliding mode control for quadcopters. Her expertise extended to designing sliding mode controllers for quadcopters, exploring various methodologies and conducting software-in-the-loop simulations.

During her tenure as a Research Scholar at the National Institute of Technology Silchar, Asifa contributed significantly to projects involving event-triggered sliding mode controllers. Her work spanned topics such as reaching law-based event-triggered sliding mode control, dynamic event-triggered sliding mode control, and static event-triggered integral sliding mode control.

As a PG Student at Tezpur University, Asifa showcased her practical skills by designing a GSM-based automatic cooking machine with a frying feature. Her undergraduate project involved creating an automatic parking system, highlighting her versatility in both hardware and software-based projects.

Contributions and Research Focus:

Asifa Yesmin's research primarily centers around control systems, with a specific focus on sliding mode controllers, event-triggered control, multi-agent systems, unmanned aerial vehicles, path planning, and robotics. Her expertise extends to areas such as linear control theory, network theory, nonlinear systems, and digital and analog electronics.

Her contributions include the design and performance analysis of sliding mode controllers for quadcopters, exploring various sliding mode controller designs for multi UAVs, and investigating dynamic triggering mechanisms for sliding mode control.

Accolades and Recognition:

Asifa's academic journey has been marked by achievements such as securing the 1651st rank in GATE 2016 and being a recipient of the Research Fellowship from MHRD, Government of India, from 2016 to 2021. She also received the Student Travel Fund (IRC-STF) from IEEE Region 10 in 2019.

Her contributions as a reviewer for prestigious journals like European Journal of Control, Fuzzy Sets and Systems, Neural Network, Scientific Reports, and Isa Transaction underscore her standing in the academic community.

Impact and Influence:

Asifa's impact is evident not only through her research but also in her teaching roles. As a Teaching Assistant at NIT Silchar, she contributed to courses in control system, industrial process control, and virtual instrumentation, showcasing her commitment to knowledge dissemination.

Her involvement in organizing national workshops and workshops on topics like homogeneity-based design of sliding mode controllers and robustness control demonstrates her dedication to fostering academic growth beyond her research.

Legacy and Future Contributions:

Asifa Yesmin's legacy lies in her multifaceted contributions to academia and research. Her work on sliding mode controllers and event-triggered control sets a foundation for future advancements in control system theory and applications. With her diverse skill set and extensive research experience, she is poised to continue making significant contributions to the field, leaving a lasting impact on control systems and related domains.

Notable publication :