top of page

Upcoming Events

  • IEEE CEC’2019 Special Session - Biologically-inspired Intelligence and Evolutionary Computation for  Robotics
    IEEE CEC’2019 Special Session - Biologically-inspired Intelligence and Evolutionary Computation for  Robotics
    Mon, Jun 10
    Wellington, New Zealand
    Jun 10, 2019, 8:00 AM – Jun 13, 2019, 5:00 PM
    Wellington, New Zealand
    Jun 10, 2019, 8:00 AM – Jun 13, 2019, 5:00 PM
    Wellington, New Zealand
    IEEE CEC’2019 Robotics is just around the corner, and we are so excited for you to see what’s in store. We’ve brought together a unique and inspiring group of speakers, and our schedule is full of engaging events and meetups. Don’t miss out!
    Share
Home: Event Details

ORGANIZER

Dr. Chaomin Luo

Home: Speakers
Chaomin_Luo ECE MSU - Copy.jpg

DR. CHAOMIN LUO

Associate Professor

Department of Electrical and Computer Engineering

Mississippi State University
Associate Editor of International Journal of Robotics and Automation 
Associate Editor of International Journal of Swarm Intelligence Research

Dr. Chaomin Luo received his Ph.D. in Department of Electrical and Computer Engineering at University of Waterloo, Canada in 2008, his M.Sc. in Engineering Systems and Computing at University of Guelph, Canada, and his B.Eng. degree in Electrical Engineering from Southeast University, Nanjing, China.  He is currently an Associate Professor in the Department of Electrical and Computer Engineering, at the Mississippi State University, USA. His research interests include Computational Intelligence (Evolutionary Computation and Neural Networks), Intelligent Systems, Robotics and Automation, and Embedded Systems.   His extensive industry experience contains working as a Research Engineer, Hardware Designer and the Director of the Embedded Systems and Intelligent Instrument Lab.

He has shown his strong leadership nationally and internationally on his research field. He was the General Co-Chair of the 1st IEEE International Workshop on Computational Intelligence in Smart Technologies (IEEE-CIST 2015), and Journal Special Issues Chair, IEEE 2016 International Conference on Smart Technologies (IEEE-SmarTech), Cleveland, OH, USA. He was the Program Co-Chair in the 2018 IEEE International Conference on Information and Automation. He was the Publicity Chair in the 2011 IEEE International Conference on Automation and Logistics.  He was on the Conference Committee in the 2012 IEEE International Conference on Information and Automation and International Symposium on Biomedical Engineering and also the Publicity Chair in the 2012 IEEE International Conference on Automation and Logistics. Also, he was Chair and Vice Chair of IEEE SEM - Computational Intelligence Chapter and was the Chair of Education Committee of IEEE SEM. Dr. Luo serves as the Editorial Board Member of Journal of Industrial Electronics and Applications, and International Journal of Complex Systems – Computing, Sensing and Control, Associate Editor of International journal of Robotics and Automation, and Associate Editor of International Journal of Swarm Intelligence Research (IJSIR).  He has organized and chaired several special sessions on topics of Intelligent Vehicle Systems and Bio-inspired Intelligence in IEEE reputed international conferences such as WCCI, IEEE-IJCNN, IEEE-SSCI, etc. He has extensively published in reputed journals and conference proceedings, such as IEEE Transactions on Neural Networks, IEEE Transactions on SMC, IEEE Transactions on Cybernetics, IEEE-ICRA, and IEEE-IROS, etc.  He was the panelist in the Department of Defense, USA, 2015-2016, 2016-2017 NDSEG Fellowship program and panelist in 2017 NSF GRFP Panelist program.

OBJECTIVES OF SPECIAL SESSION

Integrated technique of biologically-inspired intelligence and evolutionary computation, an important embranchment of series on computational intelligence, plays a crucial role for robotics. The autonomous robot and vehicle industry has had an immense impact on our economy and society, and this trend will continue with evolutionary computation and its hybridizations with biologically inspired intelligence techniques. Biologically-inspired intelligence based evolutionary computation, such as Ant colony optimization algorithms, is about learning from nature, which can be applied to the real world robot and vehicle systems.  Recently, the research and development of incorporation of bio-inspired systems and evolutionary computation for robotic applications is increasingly expanding worldwide.  Recently, evolutionary computation technique has effectively integrated with biologically-inspired algorithms including emerging sub-topics such as bio-inspired neural network algorithms, brain-inspired neural networks, swam intelligence, etc.  Additionally, it is decomposed of computational aspects of bio-inspired system based evolutionary computation system applications such as machine vision, pattern recognition for robot and vehicle systems, motion control, motion planning, movement control, sensor-motor coordination, and learning in biological systems for robot and vehicle systems.
This special session seeks to highlight and present the growing interests in emerging research, development and applications in the dynamic and exciting areas of biologically-inspired algorithm based evolutionary computation for robot and vehicle systems (autonomous robots, unmanned underwater vehicles, and unmanned aerial vehicles).

Home: About

SCOPE AND TOPICS


ORIGINAL RESEARCH PAPERS ARE SOLICITED IN RELATED AREAS OF BIOLOGICALLY-INSPIRED ALGORITHM BASED EVOLUTIONARY COMPUTATION FOR ROBOTICS. SUBMISSIONS TO THE SPECIAL SESSION SHOULD BE FOCUSED ON THEORETICAL RESULTS OR INNOVATIVE APPLICATIONS OF BIOLOGICALLY-INSPIRED ALGORITHMS ASSOCIATED WITH EVOLUTIONARY COMPUTATION FOR ROBOT AND VEHICLE SYSTEMS.

SPECIFIC TOPICS FOR THE SPECIAL SESSION INCLUDE BUT ARE NOT LIMITED TO:

•    Biologically-inspired neural networks and evolutionary computation for robotics
•    Deep neural networks, learning systems and evolutionary computation for robotics such as motion planning, navigation, mapping, localization, and image processing, etc.
•    Bio-inspired system based evolutionary computation on computer vision and image progressing for robotics
•    Human-like learning based evolutionary computation for robotics
•    Neuro-dynamics based evolutionary computation models for robot and vehicle systems
•    Evolutionary optimization for robot and vehicle systems
•    Brain-inspired neural networks based evolutionary computation for robotics
•    Swarm intelligence based evolutionary computation for robotics
•    Evolutionary neuro-fuzzy for robot and vehicle systems
•    Cellular automata for robotics
•    Immune systems for robotics
•    Ant colony optimization algorithms (ACO) for robotics
•    Bee colony optimization algorithms (BCO) for robotics.

Home: Schedule

2019 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION

10-13 JUNE 2019

WELLINGTON, NEW ZEALAND

Home: Schedule
Home: Contact
bottom of page