Chaomin Luo received the Ph.D. degree in electrical and computer engineering from the University of Waterloo, Waterloo, ON, Canada, in 2008, the M.Sc. degree in engineering systems and computing from the University of Guelph, Guelph, ON, Canada, and the B.Eng. degree in electrical engineering from the Southeast University, Nanjing, China. He is currently an Associate Professor in the Department of Electrical and Computer Engineering, University of Detroit Mercy, Detroit, MI, USA.  Dr. Luo 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), USA. He was the Publicity Chair in the 2011 IEEE International Conference on Automation and Logistics.  He was on the Conference Committee in the 2012 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 is currently a Chair of IEEE SEM - Computational Intelligence Chapter and Chair of Education Committee of IEEE SEM.

Chaomin Luo research interests includes of cross-disciplinary and multi-disciplinary, lie in two areas. One is in Robotics and Autonomous Systems, Industrial Electronics, Autonomous Vehicle Systems, Controls, Mechatronics and Automation, Intelligent Systems, Computational intelligence, and Machine Learning. The other is in Embedded Systems, VLSI physical design automation, VLSI CAD, optimization for VLSI design automation.  His research background is on Autonomous Vehicle Systems, Multi-robots, Bio-inspired Robots, Intelligent Systems, Embedded Systems and Controls.  He was internationally recognized as a pioneer to apply Semi-definite Programming and Second Order Cone Programming into VLSI optimization design.  He was the first researcher to successfully develop biologically-inspired neural dynamics model for complete coverage motion planning. He was awarded Faculty Research Awards in 2009, 2010, 2014, 2015 and 2016 at University of Detroit Mercy.