Bin Zhang l Semantic Segmentation for Autonomous Driving | Research Excellence Award

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Assoc. Prof. Dr. Bin Zhang l Semantic Segmentation for Autonomous Driving | Research Excellence Award

Kanagawa University | Japan

Assoc. Prof. Dr. Bin Zhang is an associate professor and principal investigator specializing in intelligent machines, robotics, and AI-driven systems. Education includes a Ph.D. and M.S. in Mechanical and Intelligent Systems Engineering from The University of Electro-Communications and a B.S. in Automation. Professional experience spans academia and industry, with roles in mechanical engineering education and robotics research. Research interests focus on service robots, autonomous navigation, human–robot interaction, perception, deep learning, and assistive systems. Research skills include robot design, control, SLAM, computer vision, sensor fusion, and machine learning. Awards and honors recognize excellence in robotics, AI applications, and assistive technologies. Overall, Assoc. Prof. Dr. Bin Zhang contributes impactful research and education advancing intelligent robotic systems for society.

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Featured Publications

A Study on Improving the Accuracy of Semantic Segmentation for Autonomous Driving
Computers, Materials & Continua, 2026 · Open Access
A Quantitative Diagnosis Method for Assessing the Severity of Intake Filter Blockage of Heavy-Duty Gas Turbines Based on the Fusion of Physical Mechanisms and Deep Learning
Applied Thermal Engineering, 2025

A Performance Diagnosis Method for Full Gas-Path Components of Heavy-Duty Gas Turbines Based on Model- and Data-Hybrid Drive

Proceedings of the Chinese Society of Electrical Engineering, 2025

An End-to-End Pillar Feature-Based Neural Network Improved by Attention Modules for Object Detection of Autonomous Vehicles

IEEJ Transactions on Electrical and Electronic Engineering, 2025

2D Mapping Considering Potential Occupancy Space of Mobile Objects for a Guide Dog Robot

IEEJ Transactions on Electronics, Information and Systems, 2025

Huiming Wang | Nonlinear Control | Research Excellence Award

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Assoc. Prof. Dr. Huiming Wang | Nonlinear Control | Research Excellence Award

Chongqing University of Posts and Telecommunications | China

Assoc. Prof. Dr. Huiming Wang is an Associate Professor at the School of Automation, Chongqing University of Posts and Telecommunications, China. He earned his Ph.D. in Measurement Technique and Automation Equipment from Southeast University, following an M.S. in Control Theory and Control Engineering and a B.S. in Automation. Assoc. Prof. Dr. Huiming Wang has professional experience as a postdoctoral researcher at Nanyang Technological University, Singapore, and serves as deputy director of key laboratories and departments. His research interests focus on anti-disturbance control, robotics, servo systems, and power electronics. His research skills include robust control, sliding-mode control, disturbance observers, and intelligent electromechanical systems. Assoc. Prof. Dr. Huiming Wang has received national and international awards for innovation and best papers, reflecting his strong academic impact and leadership in automation research.

Citation Metrics (Scopus)

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Featured Publications

Generalized Disturbance Estimation Based Continuous Integral Terminal Sliding Mode Control for Magnetic Levitation Systems

IEEE Transactions on Automation Science and Engineering, 2025 · 20 Citations
Current-Constrained Finite-Time Control Scheme for Speed Regulation of PMSM Systems With Unmatched Disturbances

IEEE Transactions on Automation Science and Engineering, 2025 · 3 Citations
Active Disturbance Rejection with Continuous Sliding Mode Control for Lower Limb Rehabilitation Exoskeleton

Conference Paper · 0 Citations
A Current-Constrained Finite-Time Disturbance Rejection Control Scheme for Buck Converter

Conference Paper · 0 Citations
Sampled-Data Safety-Critical Control of Nonlinear Systems with Input Delay

Conference Paper · 0 Citations

Chao Li | Data Processing | Research Excellence Award

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Dr. Chao Li | Data Processing | Research Excellence Award

Qingdao Technical College | China

Dr. Chao Li is an engineering scholar and lecturer whose work bridges professional education and applied research in advanced sensing technologies. He holds a doctoral degree in engineering and completed his undergraduate studies in industrial equipment and control engineering, where he built a strong foundation in intelligent systems. Since 2019, he has focused extensively on indoor mapping and positioning, integrating theoretical innovation with engineering-driven problem-solving. His research experience includes serving as a core contributor to multiple provincial key R&D initiatives and collaborations with major technology enterprises, where he helped develop applied solutions for real-world industrial environments. He has published several SCI-indexed journal articles as a first or corresponding author and holds an invention patent that reflects the practical impact of his work. In addition to research, he is dedicated to teaching and curriculum development in professional courses, promoting hands-on learning and interdisciplinary thinking. His academic achievements demonstrate a commitment to advancing positioning technologies, enhancing industry–academia collaboration, and addressing emerging challenges in smart manufacturing and intelligent monitoring. Looking ahead, he aims to continue deepening his contributions to indoor mapping and positioning, driving innovation that supports both scientific development and technological progress.

Profile : Orcid

Featured Publications

Li, C., Chai, W., Zhang, M., Sun, Z., Shao, G., & Li, Q. (2023). “A novel visual-aided method to enhance the inertial navigation system of an intelligent vehicle in indoor environments.” IEEE Transactions on Instrumentation and Measurement. https://doi.org/10.1109/TIM.2023.3293884

Chai, W., Li, C., & Li, Q. (2023). “Multi-sensor fusion-based indoor single-track semantic map construction and localization.” IEEE Sensors Journal. https://doi.org/10.1109/JSEN.2022.3226821

Li, C., Chai, W., Wu, Q., Li, J., Lin, F., Li, Z., & Li, Q. (2022). “A graph optimization enhanced indoor localization method.” In 2022 International Conference on Computers, Information Processing and Advanced Education (CIPAE). https://doi.org/10.1109/cipae55637.2022.00055

Li, C., Chai, W., Yang, X., & Li, Q. (2022). “Crowdsourcing-based indoor semantic map construction and localization using graph optimization.” Sensors. https://doi.org/10.3390/s22166263

Chai, W., Li, C., Zhang, M., Sun, Z., Yuan, H., Lin, F., & Li, Q. (2021). “An enhanced pedestrian visual-inertial SLAM system aided with vanishing point in indoor environments.” Sensors. https://doi.org/10.3390/s21227428

Matap Shankar – Dynamical Systems – Best Researcher Award 

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Dr Matap Shankar - Dynamical Systems - Best Researcher Award 

Department of Mathematics Indian Institute of Technology Guwahati - India 

Author Profile

Early Academic Pursuits

Dr. Matap Shankar began his academic journey with a Bachelor's degree in Mathematics Honours from Kurseong College, North Bengal University, West Bengal. He successfully completed his Higher Secondary education from Pushpa Rani Roy Memorial School, Kurseong, and his Secondary education from St. Xavier’s Higher Secondary School, Dilaram Darjeeling.

Professional Endeavors

Dr. Matap Shankar pursued his interest in mathematics further by obtaining a Master's degree in Mathematics and Computing from the Department of Mathematics at the Indian Institute of Technology Guwahati. His Master's project, supervised by Prof. Bhaba Kumar Sharma, focused on "Minimum Rank of a Simple Digraphs."

His academic journey continued with a Ph.D. in the Department of Mathematics at the Indian Institute of Technology Guwahati, where he delved into the research realm under the guidance of Prof. Swaroop Nandan Bora. His doctoral thesis, titled "Ulam-Hyers and Lyapunov Stability for Some Classes of Fractional Differential Equations and Difference Equations," showcases his dedication to advancing knowledge in the field.

Contributions and Research Focus

Dr. Matap Shankar's research interests lie in the qualitative analysis of fractional-order dynamical systems and control. His specific research areas include stability analysis of fractional-order dynamical systems, Ulam-Hyers, and Lyapunov stability analysis of fractional-order differential equations, and bifurcation theory of fractional-order dynamical systems.

He has made significant contributions to the field, evident in his publications in reputable journals. Notable works include papers on Ulam-Hyers stability, stabilization, and Lyapunov stability analysis of fractional-order systems.

Accolades and Recognition

Dr. Matap Shankar's academic excellence has been recognized through various honors and awards. He has been awarded a Senior Research Fellowship by MHRD, demonstrating his exceptional research capabilities. Earlier, he received a Junior Research Fellowship by MHRD, qualified the GATE Examination in Mathematics, and secured a Merit-Cum-Means Scholarship by IIT Guwahati.

His achievements also extend to national-level exams, such as qualifying the CSIR NET Examination in Mathematics and the Joint Admission Test for M.Sc (JAM) Examination.

Impact and Influence

Dr. Matap Shankar's influence extends beyond his research contributions. As a Teaching Assistant at the Indian Institute of Technology Guwahati, he has actively contributed to the academic growth of students by assisting in various theory courses.

His participation in workshops, seminars, and conferences demonstrates a commitment to staying updated with the latest advancements in his field and sharing knowledge with the academic community.

Legacy and Future Contributions

Dr. Matap Shankar's legacy lies in his significant research contributions, academic achievements, and the impact he has had on students through his role as a Teaching Assistant. As he continues to explore and contribute to the field of mathematics, his future contributions are eagerly anticipated, and he is well-positioned to make further advancements in qualitative analysis and control of fractional-order dynamical systems.

Notable Publication

 

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 :