Kazi Naimur Rahman -Mechatronics – Excellence in Research

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Kazi Naimur Rahman -Mechatronics

Mr. Kazi Naimur Rahman distinguished academic and researcher in the field Mechatronics and Computer Vision.  Kazi Naimur Rahman is a dedicated researcher with a profound passion for advancing knowledge in Mechatronics and Computer Vision. His academic journey is a testament to his commitment to rigorous exploration, showcasing a deep enthusiasm for contributing to cutting-edge projects and collaborating with fellow researchers. His expertise lies at the intersection of Mechatronics and Computer Vision, where he strives to push the boundaries of innovation and make significant contributions to these fields. Kazi Naimur Rahman’s relentless pursuit of excellence and collaborative spirit position him as a valuable asset in the realm of research, poised to make meaningful advancements in the convergence of Mechatronics and Computer Vision.

🌐 Professional Profiles

Educations: 📚🎓

He completed his Bachelor of Science in Engineering from the Department of Mechatronics and Industrial Engineering at Chittagong University of Engineering & Technology in 2022. His academic journey continued as he pursued a Master of Science in Engineering from the Department of Mechanical Engineering at the same university, completing it in 2023. These educational experiences have equipped him with a strong foundation in both Mechatronics and Mechanical Engineering, shaping his expertise and preparing him for a promising career in the intersection of these fields.

Research Interests: 🧬🔬

Highly secured and Effective management of app-based online voting system using RSA encryption and decryption, deep learning verification technique, database security, admin panel. Applications of Network Science and Graph Analytics in Social, Biological, and Technological Networks,Mechatronics and Computer Vision,

Experience

After completing his Bachelor of Science in Engineering from the Department of Mechatronics and Industrial Engineering at Chittagong University of Engineering & Technology (CUET) from 2017 to 2022, he took on the role of a lecturer in the same department at CUET. Currently stationed at CUET-4349 in Pahartali, Raozan, Chattogram, he has dedicated one year to his position. During this time, he has made significant contributions to research, with a notable achievement of publishing two Q1 journal articles on ScienceDirect. His research encompasses areas such as networking, deep learning, machine learning, and also involves app development. His commitment to academic excellence and research output showcases his dedication to advancing knowledge in the field of Mechatronics and Industrial Engineering.

📚Top Noted Publication

Guanglei Zhao – Networked Multiagent Systems – Best Researcher Award

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Guanglei Zhao – Networked Multiagent Systems

Prof. Guanglei Zhao distinguished academic and researcher in the field Networked multiagent systems , He is an Associate Professor with the Institute of Electrical Engineering, Yanshan University, Qinhuangdao, China. He has been actively involved in the field of academia, steadily progressing through various roles at Yanshan University. Since November 2020, he has served as a Professor, contributing to the university’s academic environment and research endeavors. Prior to this, from December 2017 to October 2020, he held the position of Associate Professor, demonstrating his dedication and expertise in his chosen field.

Before advancing to an associate professorship, he served as a Lecturer from January 2015 to November 2017, where he honed his teaching skills and imparted knowledge to students. His academic journey began in October 2012 when he assumed the role of a Research Fellow at The University of Melbourne, showcasing his commitment to research and contributing to the global academic community. Through these various roles, he has accumulated a wealth of experience and knowledge, making valuable contributions to both teaching and research domains

🌐 Professional Profiles

Educations: 📚🎓

He has a robust academic background, marked by his progressive pursuit of higher education in the field of engineering and control systems. In December 2014, he achieved his PhD in Control Theory and Control Engineering from Shanghai Jiao Tong University, a significant milestone that highlights his deep understanding and expertise in his field. Prior to this, in June 2009, he earned his Master’s degree in Systems Engineering from Huazhong University of Science and Technology, further solidifying his foundation in engineering principles and systems analysis. His academic journey commenced with the attainment of his Bachelor’s degree in Automation from Yantan University in June 2007, where he laid the groundwork for his future academic and professional endeavors. This educational pathway has equipped him with a comprehensive skill set and theoretical knowledge, essential for his subsequent achievements in academia and research.

Research Interest

control systems design, cooperative control of robot systems, networked control systems

 

📚Top Noted Publication
[1]. Hailong Cui, Guanglei Zhao, Shuang Liu, Zhijie Li, A Novel Adaptive Event-Triggered
Consensus Control Approach to Multi-Agent Systems with Guaranteed Positive MIET, IEEE
Transactions on Network Science and Engineering, 2023, 10.1109/TNSE.2023.3296450.
[2]. Hailong Cui, Guanglei Zhao, A Decentralized Dynamic Self-Triggered Control Approach
to Consensus of Multiagent Systems, IEEE Transactions on Systems, Man, and Cybernetics:
Systems, 53(9):5772-5783, 2023.
[3]. Guanglei Zhao, Quanzhong Liu, Prescribed-time Containment Control of High-order
Nonlinear Multi-Agent Systems Based on Distributed Observer, Journal of the Franklin
Institute, 360(10), 6736-6756, 2023.
[4]. Guanglei Zhao, Lanqing, Jin, Distributed Adaptive Dynamic Event-Triggered Secondary
Control for Islanded Microgrids with Disturbances, IEEE Transactions on Smart Grid,
14(6), 4268-4281, 2023.
[5]. Guanglei Zhao, Changchun Hua, Hybrid Event-Triggered Cooperative Output Regulation
of Multi-Agent Systems with Unreliable Communication Link, IEEE Transactions on
Cybernetics, 2023, 10.1109/TCYB.2023.3257140
[6]. Guanglei Zhao, Lanqing Jin, Hailong Cui, Yifeng Wang, Distributed Dynamic EventTriggered Secondary Control for Islanded Microgrids With Disturbances and Communication
Delays: A Hybrid Systems Approach, IEEE Transactions on Industrial Informatics,
19(8):8795-8805, 2023.
[7]. Guanglei Zhao, Changchun Hua, A Hybrid Systems Approach to Event-Triggered
Consensus of Multiagent Systems With Packet Losses, IEEE Transactions on Systems, Man,
and Cybernetics: Systems,53(3):1773-1787, 2023.
[8]. Guanglei Zhao, Hailong Cui, Changchun Hua, Hybrid Event-Triggered Bipartite Consensus
Control of Multi-Agent Systems and Application to Satellite Formation, IEEE Transactions
on Automation Science and Engineering, 20(3): 1760-1771, 2023.
[9]. Guanglei Zhao, Lanqing Jin, Yifeng Wang, Distributed Event-Triggered Secondary Control
for Islanded Microgrids With Disturbances: A Hybrid Systems Approach, IEEE Transactions
on Power Systems, 38(2):1420-1431, 2023..
[10]. Guanglei Zhao, Changchun Hua, Leaderless and Leader-Following Bipartite Consensus
of Multi-Agent Systems with Sampled and Delayed Information, IEEE Transactions on
Neural Networks and Learning Systems, 34(5):2220-2233, 2023.
[11]. Guanglei Zhao, Changchun Hua, Shuang Liu, Sampled-Data Dynamic Output Feedback
Consensus Control of Multi-Agent Systems, IEEE Transactions on Network Science and
Engineering, 9(5):3292-3301, 2022. 10.1109/TNSE.2022.3174224