Yi Zhou

Research Areas: Human-Machine Interfaces, Robotics, Automation & Control Education PhD, Electrical & Electronics Engineering, Nanyang Technological University (NTU), Singapore, 2008 B. Eng (First Class Hons.), Electrical and Electronic Engineering, Nanyang Technological University (NTU), Singapore, 2004 Awards Excellent Teaching Journal Award, Singapore Polytechnic, 2011 3rd Place of RoboCup World Champion Competition: Festo Logistics Competition, 2010. R&D Publication Award, School of Electrical and Electronic Engineering, Singapore Polytechnic, 2008. Gold prize for the most popular research award in College of Engineering Exhibition (COE), NTU, 2006. Bronze EEE Color Award, for excellent achievements in academe and activities NTU, 2004. Certificate of merit for publication award (student category, Institution of Engineers), Singapore, 2004. 1st Class Freshman Award, Zhejiang University, China, 1999. Research Research Interests Machine learning Fuzzy neural networks Optimization Autonomous and unmanned system Robotics Multi-agent system Research Projects Collaborator/Co-PI for the RFID-based Autonomous Navigation of AGVs for Port Automation, MOE-TIF 2011-2013; PI for Tele-robotics system for education and assistive applications, Toteboard R&D model project, 2009-2011; Co-PI for Development of emotional expression system for social robots, Toteboard R&D model project, 2009-2011; Co-PI for Underwater robot swarm, Toteboard R&D model project, 2007-2010; Publications Meng Joo Er and Yi Zhou, Theory and novel applications of machine learning, book editors, published by Intechweb publisher, 2009. Yi Zhou and Meng Joo Er: An evolutionary approach toward dynamic self-generated fuzzy inference systems, IEEE Transactions on Systems, Man, and Cybernetics, Part B, Vol. 38, No. 4, pp. 963-969, August, 2008. Meng Joo Er and Yi Zhou: Automatic generation of fuzzy inference systems via unsupervised learning, Neural Networks, Vol. 21, No. 10, pp. 1556-1566, December 2008. Meng Joo Er and Yi Zhou: A novel framework for automatic generation of fuzzy neural networks, Neurocomputing, Vol. 71, pp. 584-591, 2008.