Mokhtar Mohammadi Ghanatghestani | Cybersecurity | Best Researcher Award

Assist Prof Dr. Mokhtar Mohammadi Ghanatghestani | Cybersecurity | Best Researcher Award

Associate Professor at Islamic Azad University, Iran

Summary:

Dr. Mokhtar Mohammadi Ghanatghestani is an accomplished academic specializing in Computer Engineering with a focus on VLSI and computer network security. He earned his PhD and Master of Science degrees from Islamic Azad University, Science and Research Branch, Tehran, Iran, and his Bachelor of Science from Shahid Bahonar University, Kerman, Iran. With over 20 publications in prestigious journals and the successful supervision of more than 30 master’s and 4 PhD students, Dr. Ghanatghestani has made significant contributions to his field. His research interests include IoT, nanotechnology, and approximate computing. He also serves as the Head of the University Technology Incubator and is an active faculty member.

Profile:

Education:

Assist. Prof. Dr. Mokhtar Mohammadi Ghanatghestani completed his PhD in Computer Engineering with a specialization in Computer Architecture at Islamic Azad University, Science and Research Branch, Tehran, Iran, in 2014, under the supervision of Dr. Hossein Pedram. He earned his Master of Science degree in Computer Engineering from the same university in 2010, with Dr. Keivan Navi as his thesis supervisor. Dr. Ghanatghestani obtained his Bachelor of Science degree in Computer Engineering, focusing on Hardware, from Shahid Bahonar University, Kerman, Iran, in 2008, where he was guided by Dr. Fahimeh Yazdanpenah.

Professional Experience:

Assist. Prof. Dr. Mokhtar Mohammadi Ghanatghestani has a robust professional background in academia and research. As a faculty member, he has supervised over 30 master’s students and 4 PhD candidates, contributing to the publication of more than 20 articles in reputable scientific journals. He has completed significant industrial projects and is actively involved in ongoing research initiatives. Dr. Ghanatghestani has developed new memory and arithmetic circuits using nanotechnology, improving power consumption and delay. In the realm of IoT, he has proposed methods to enhance reliability and security. He also serves as the Head of the University Technology Incubator, fostering innovation and collaboration.

Research Interests:

Assist. Prof. Dr. Mokhtar Mohammadi Ghanatghestani’s research interests span a wide array of topics within Computer Engineering. He is deeply engaged in the fields of Internet of Things (IoT), computer network security, and mobile ad-hoc networks. His work in nanotechnology and Very-Large-Scale Integration (VLSI) focuses on developing innovative memory and arithmetic circuits that improve power consumption and delay. Additionally, Dr. Ghanatghestani explores Multi-Value Logic (MVL) and approximate computing, contributing to advancements in computational efficiency and performance. His comprehensive research efforts are aimed at enhancing the reliability and security of modern computing systems.

Skills:

Assist. Prof. Dr. Mokhtar Mohammadi Ghanatghestani possesses a diverse set of skills that underscore his expertise in Computer Engineering and related fields. With a strong foundation in VLSI design and computer architecture, he excels in developing advanced memory and arithmetic circuits using nanotechnology, thereby optimizing power consumption and performance. Dr. Ghanatghestani’s proficiency extends to the domains of IoT, where he implements innovative strategies to enhance system reliability and security. His competence in computer network security and mobile ad-hoc networks further demonstrates his capability in addressing critical challenges in modern computing environments. As Head of the University Technology Incubator, he fosters innovation and collaboration, leveraging his skills to drive impactful research and development initiatives.Assist. Prof. Dr. Mokhtar Mohammadi Ghanatghestani possesses a diverse set of skills that underscore his expertise in Computer Engineering and related fields. With a strong foundation in VLSI design and computer architecture, he excels in developing advanced memory and arithmetic circuits using nanotechnology, thereby optimizing power consumption and performance. Dr. Ghanatghestani’s proficiency extends to the domains of IoT, where he implements innovative strategies to enhance system reliability and security. His competence in computer network security and mobile ad-hoc networks further demonstrates his capability in addressing critical challenges in modern computing environments. As Head of the University Technology Incubator, he fosters innovation and collaboration, leveraging his skills to drive impactful research and development initiatives.

Awards and Honors:

Assist. Prof. Dr. Mokhtar Mohammadi Ghanatghestani has garnered recognition for his outstanding contributions to the field of Computer Engineering. His dedication to research and innovation has been acknowledged through various awards and honors, underscoring his impact on advancing technologies in VLSI design, nanotechnology applications, and computer network security. Dr. Ghanatghestani’s accolades reflect his leadership in academia and his commitment to excellence in teaching and mentorship. As a respected figure in his field, he continues to receive acclaim for his significant achievements, which have not only enriched scholarly discourse but also influenced practical advancements in computing and technology.

Publications:

 

 

Zunjie Yu | Cybersecurity | Best Researcher Award

Dr. Zunjie Yu, Cybersecurity, Best Researcher Award

Doctorate at Shandong University of Science and Technology, China

Dr. Zunjie Yu is currently pursuing a Ph.D. in control theory and control engineering at Shandong University of Science and Technology, Qingdao, China. Her research interests focus on event-triggered control and consensus analysis of multiagent systems. She has contributed significantly to these areas with publications in reputable journals, showcasing her expertise and contributions to the field.

Profile:

Education:

Dr. Zunjie Yu is pursuing a Ph.D. degree in Control Theory and Control Engineering at Shandong University of Science and Technology, Qingdao, China.

Professional Experience:

Dr. Zunjie Yu’s professional experience is primarily focused on her academic pursuits and research activities. She is currently engaged in pursuing a Ph.D. in control theory and control engineering at Shandong University of Science and Technology, Qingdao, China. Her work involves conducting research in the areas of event-triggered control and consensus analysis of multiagent systems. Through her research endeavors, Dr. Yu has published several notable papers in reputable journals, demonstrating her expertise and contributions to the field of control engineering.

Research Interest:

Dr. Zunjie Yu’s research interests revolve around control theory and control engineering, with a specific focus on event-triggered control and consensus analysis in multiagent systems. Her work aims to advance understanding and develop innovative solutions in these areas, addressing challenges such as secure control against cooperative attacks, stochastic nonlinear systems, hybrid multiagent systems, and consensus in directed networks. Dr. Yu’s research also extends to finite-time consensus, leader-following systems, and event-triggered communication strategies. Through her publications and ongoing research, she contributes significantly to the advancement of control theory and its applications in complex systems.

Publication Top Noted:

Event-triggered security consensus of continuous-time multi-agent systems against complex cooperative attacks

  • Authors: Zhang, W., Yu, Z., Jiang, X.
  • Journal: Information Sciences
  • Volume: 662
  • Year: 2024
  • Pages: 120260
  • Citations: 0

Event-Triggered Secure Control for Consensus of the Discrete-Time Multiagent System Against Complex Cooperative Attacks

  • Authors: Yu, Z., Zhang, W.
  • Journal: IEEE Transactions on Systems, Man, and Cybernetics: Systems
  • Year: 2024
  • Citations: 0

Almost sure consensus of stochastic nonlinear multi-agent systems via event-triggered control

  • Authors: Yu, Z., Zhang, W.
  • Journal: Nonlinear Dynamics
  • Volume: 111
  • Issue: 4
  • Year: 2023
  • Pages: 3469–3478
  • Citations: 7

Event-Triggered Sliding-Mode Control for Consensus of Second-Order Leader-Following Multi-Agent Systems

  • Authors: Lv, J., Yu, Z., Zhang, W.
  • Conference: Proceedings of the 2nd Conference on Fully Actuated System Theory and Applications, CFASTA 2023
  • Year: 2023
  • Pages: 367–371
  • Citations: 0

Finite-time consensus for the second-order leader-following nonlinear multi-agent system with event-triggered communication

  • Authors: Yu, Z., Zhang, W., Ma, L.
  • Journal: Journal of the Franklin Institute
  • Volume: 359
  • Issue: 12
  • Year: 2022
  • Pages: 6486–6502
  • Citations: 16