Special Session for FUZZ-IEEE2021 on:  

Multiagent/Swarm Fuzzy and Intelligent Systems

AIM: The development of technology in different domains such as computing, sensing, and information processing, together with reliable communication, has made it possible to employ collaborative autonomous systems that allow for greater efficiency, flexibility, reliability, and capacity. It has also become possible to deploy multiple satellites, robots, crewless vehicles, and even many nanoscaled machines for automation, monitoring, healthcare, space research, and even targeted drug delivery and precision medicine.
The above advancements necessitate further research on efficient distributed structures and collaborative control of multiagent or swarm systems. The multiagent systems are associated with significant challenges such as handling uncertainties and complexities of the operating environment, uncertainties of dynamics of possibly heterogeneous agents, and limited interactions between the agents. Swarm systems carry similar challenges to multiagent systems, with the difference being in their design simplicity and limitations on their sensing, cognition, and actuation. Swarm systems make up for these challenges with their sheer numbers and taking inspiration in nature's way of handling complexity and uncertainty. Nevertheless, we face further challenges when the multiagent/swarm systems are also human-centered.
This special session will highlight the latest development in this rapidly growing research area, emphasizing the new trends in fuzzy and intelligent multiagent/distributed/swarm systems. All researchers, academics, and experts are invited to submit their original works to this special session.

SCOPE: The scope includes (but not limited to) the following topics:

• Multiagent control systems such as formation, flocking, and cooperative control  
• Multiagent decision-making systems
• Synchronization of multiagent systems
• Cooperation and coordination
• Social animals behavioral inspiration for swarms
• Distributed urban traffic control
• Cognitive swarm agents
• Swarm medical intelligence and well-being
• Bioinspired swarms such as sensing, perception, and reasoning swarm technology
• Evolving swarms
• Synchronization of multiagent systems
• Autonomous control of crewless vehicles
• Coordinated control of multi-vehicle systems
• Intelligent robotic systems
• Swarm robotic and artificial intelligence
• Fuzzy and intelligent agents
• Swarm intelligence for learning, decision making, and control
• Human-swarm interaction
• Distributed energy management
• Other real-world applications such as in engineering, physics, medicine, mathematics, chemistry, biology, cosmology, agriculture, geology, sociology, literature, and art.

Important dates

• February 10th, 2021 - Paper submission deadline
• March 22nd, 2021- Acceptance/rejection notification
  
• April 12th, 2021     - Camera-ready paper submission
  
• July 11-14, 2021   - Conference dates

To submit your paper please see  FUZZIEEE2021 website.

Remind to select "Multiagent/Swarm Fuzzy and Intelligent Systems" as main research topic.

Organizers:

About the organizers:

Mohammad-R. Akbarzadeh-T. is currently a professor and director of the Center of Excellence on Soft Computing and Intelligent Information Processing (SCIIP), electrical engineering department, Ferdowsi University of Mashhad. He received his Ph.D. on Evolutionary Optimization and Fuzzy Control of Complex Systems from the department of electrical and computer engineering at the University of New Mexico (UNM) in 1998. From 1996-2003, he was also with the NASA Center for Autonomous Control Engineering at UNM. In 2006 and 2017, he was also with the Berkeley Initiative on Soft Computing (BISC), UC Berkeley as a visiting scholar. In 2007, he also served as a consulting faculty at the Department of Aerospace and Aeronautic Engineering, Purdue University.
Prof. Akbarzadeh is the founding president of the Intelligent Systems Scientific Society of Iran and the founding councilor representing the Iranian Coalition on Soft Computing in IFSA. He is also a senior member of the IEEE and the IEEE student branch's founding faculty councilor until 2008. His research interests are bio-inspired computing/optimization, fuzzy logic and control, soft computing, multiagent systems, complex systems, robotics, cognitive sciences, and medical informatics. He has published over 500 peer-reviewed articles in these and related research fields.

Fahimeh Baghbani is a postdoctoral fellow at the Center of Excellence on Soft Computing and Intelligent Information Processing, Ferdowsi University of Mashhad (FUM), Iran. She received her Ph.D. in Electrical Engineering (control) from FUM in 2019. Her dissertation was entitled, "Stable Adaptive Emotional Neuro-Control for Uncertain Affine Nonlinear Multi-agent Systems." Her research interest includes intelligent control, fuzzy and neural control, Type-2 fuzzy systems, multiagent control systems, and nonlinear control with application to robotic systems.

Nasibeh Rady Raz is received dual B.S. degrees in computer engineering and English literature, and M.S. degree in artificial intelligence. Her thesis was entitled, "Bio-inspired Nanonetworks with Local Fuzzy Vision for Targeted Cancer Drug Delivery." She is currently a Ph.D. candidate in artificial intelligence and robotics with Department of Computer Engineering, Center of Excellence on Soft Computing and Intelligent Information Processing, in Ferdowsi University of Mashhad, Mashhad, Iran.   She is also a Lecturer with several institutes of higher education. Her research interests are in the areas of artificial intelligence, complex systems, biomimicry, swarm intelligence, cognitive sciences, targeted nano-drug delivery, cancer research, soft computing, stem cells, swarm-fuzzy nano robotics, and computational cellular/molecular biology.