Prof. Er Meng Joo
Nanyang Technological University, Singapore
" Cognitive Robotics: Recent Developments and Futuristic Trends"
Abstract: The quest for building human-like intelligence has gained enormous momentum in recent decades. Since the seminal works on Artificial Intelligence (AI), the desire of realizing the quest has become stronger. With the rapid developments in Science, Engineering and Technology, machines that mimic human intelligence have become a reality and sometimes indispensable parts in our daily life, such as Apple Siri and Google Voice. Cognition is a group of mental processes that include attention, memory, producing and understanding language, solving problems and making decisions and making decisions. Cognitive robotics is concerned with endowing robots with intelligent behavior by providing a processing architecture that will allow it to learn and reason about how to behave in response to complex goals in a complex world. In this talk, recent developments of cognitive robotics with applications in the healthcare industry, domestic services, marine vehicles etc will be reviewed. The futuristic trends and challenges will also be discussed.
Er Meng Joo is currently a Full Professor in Electrical
and Electronic Engineering, Nanyang Technological
University, Singapore. He served as the Founding
Director of Renaissance Engineering Programme and an
elected member of the NTU Advisory Board from 2009 to
2012. Furthermore, he served as a member of the NTU
Senate Steering Committee from 2010 to 2012.
He has authored five books entitled “Dynamic Fuzzy Neural Networks: Architectures, Algorithms and Applications” and “Engineering Mathematics with Real-World Applications” published by McGraw Hill in 2003 and 2005 respectively, and “Theory and Novel Applications of Machine Learning” published by In-Tech in 2009, “New Trends in Technology: Control, Management, Computational Intelligence and Network Systems” and “New Trends in Technology: Devices, Computer, Communication and Industrial Systems”, both published by SCIYO, 18 book chapters and more than 500 refereed journal and conference papers in his research areas of interest.
Professor Er was bestowed the Web of Science Top 1 % Best Cited Paper and the Elsevier Top 20 Best Cited Paper Award in 2007 and 2008 respectively. In recognition of the significant and impactful contributions to Singapore’s development by his research projects, Professor Er won the Institution of Engineers, Singapore (IES) Prestigious Engineering Achievement Award twice (2011 and 2015). He is also the only dual winner in Singapore IES Prestigious Publication Award in Application (1996) and IES Prestigious Publication Award in Theory (2001). Under his leadership, the NTU Team emerged first runner-up in the Freescale Technology Forum Design Challenge 2008. He received the Teacher of the Year Award for the School of EEE in 1999, School of EEE Year 2 Teaching Excellence Award in 2008, the Most Zealous Professor of the Year Award in 2009 and the Outstanding Mentor Award in 2014. He also received the Best Session Presentation Award at the World Congress on Computational Intelligence in 2006, the Best Presentation Award at the International Symposium on Extreme Learning Machine 2012, Best Paper Award (First Prize) at the International Automatic Control Conference 2016 and Best Presentation Award at the IEEE International Conference on Intelligent Control, Power and Instrumentation (ICICPI) 2016. On top of this, he has more than 60 awards received at international and local competitions.
Currently, Professor Er serves as the Editor-in-Chief of 3 international journals, namely International Journal of Intelligent Autonomous Systems, Transactions on Machine Learning and Artificial Intelligence and the International Journal of Electrical and Electronic Engineering and Telecommunications. He also serves an Area Editor of International Journal of Intelligent Systems Science and an Associate Editor of 14 refereed international journals, namely IEEE Transaction on Cybernetics, Information Sciences, Neurocomputing, Asian Journal of Control, International Journal of Fuzzy Systems, ETRI Journal, International Journal of Humanoid Robots, International Journal of Modelling, Simulation and Scientific Computing, International Journal of Applied Computational Intelligence and Soft Computing, International Journal of Business Intelligence and Data Mining, International Journal of Fuzzy and Uncertain Systems, International Journal of Automation and Smart Technology, International Journal of Intelligent Information Processing and an editorial board member of the Open Automation and Control Systems Journal and the EE Times.
Professor Er has been invited to deliver more than 60 keynote speeches and invited talks overseas. He has also been active in professional bodies. He has served as Chairman of IEEE Computational Intelligence Society (CIS) Singapore Chapter (2009 to 2011) and Chairman of IES Electrical and Electronic Engineering Technical Committee (EEETC) (2004 to 2006 and 2008 to 2012). Under his leadership, the IEEE CIS Singapore Chapter won the CIS Outstanding Chapter Award 2012 (The Singapore Chapter is the first chapter in Asia to win the award). In recognition of his outstanding contributions to professional bodies, he was bestowed the IEEE Outstanding Volunteer Award (Singapore Section) and the IES Silver Medal in 2011. Due to his outstanding contributions in education, research, administration and professional services, he is listed in Who’s Who in Engineering, Singapore, Edition 2013.
Prof. Gene Eu Jan
National Taipei University, Taiwan
"The Applications of H-Tree in Electronic Design Automation"
Gene Eu Jan received a B.S. degree in Electrical Engineering from the National Taiwan University in 1982 and the M.S. and Ph.D. degrees in Electrical and Computer Engineering from the University of Maryland, College Park, in 1988 and 1992, respectively. He served as a Visiting Assistant Professor at Department of Electrical and Computer Engineering, California State University, Fresno from 1991 to 1992. He has been a Professor with the Departments of Computer Science and Electrical Engineering, National Taipei University, San Shia, Taiwan since 2004, where he also served as the Chairperson of Graduate Institute of Electrical Engineering from 2006 to 2007, and Dean of College of Electrical Engineering and Computer Science from 2007 to 2009. In addition, he served as the Vice President of Taiwan Taoyuan International Airport Corp. from 2014 to 2015. He has published more than 200 articles related to parallel computer systems, interconnection networks, motion planning, EDA, and VLSI systems design in journals, conferences and books.
Assoc. Prof. Chaomin Luo
University of Detroit Mercy, USA
"New Insights into VLSI Floorplanning and Placement Design: Convex Optimization and Bio-inspired Methodologies for VLSI Design"
Abstract: The VLSI floorplanning and placement problem aims to arrange a set of rectangular modules on a rectangular chip area so as to optimize an appropriate measure of performance. This problem is known to be NP-hard, and is particularly challenging if the chip dimensions are fixed. VLSI fixed-outline floorplanning is becoming increasingly important as a tool to design flows in the hierarchical design of Application Specific Integrated Circuits and System-On-Chip. Therefore, it has recently received much attention. A sequence of two-stage convex optimization methodologies and bio-inspired methodologies is developed to solve the fixed-outline floorplanning and placement problem. In the first stage, an attractor-repeller convex optimization model provides the relative positions of the modules on the floorplan. The second stage places and sizes the modules using convex optimization. Given the relative positions of the modules from the first stage, some graph-based methodologies such as Voronoi diagram and Delaunay triangulation method, and bio-inspired methodologies are used to obtain a planar graph and hence a relative position matrix connecting the two stages. An efficient method for generating sparse relative position matrices and an interchange-free algorithm for local improvement of the floorplan are also presented. Experimental results on the standard benchmarks MCNC and GSRC demonstrate that the significant improvements on the best results are achieved. Overlap-free and dead-space-free floorplans are achieved in a VLSI fixed outline floorplans with any specified percentage of whitespace can be produced by the proposed convex optimization and bio-inspired methodologies. Due to the new convex optimization bio-inspired design, the model provides a greater improvement as the number of modules increases. The new convex optimization approach is able to guarantee complete area utilization in a VLSI fixed-outline floorplanning and placement. The convex optimization design reaches a new milestone that is applicable to multiple performance optimizations such as wirelength minimization and area minimization in classical floorplanning and placement.
Dr. Chaomin Luo received his Ph.D. degree in Department of Electrical and Computer Engineering at the University of Waterloo, Canada in 2008, earned his M.Sc. degree in Engineering Systems and Computing at the University of Guelph, Canada, and his B.Eng. degree in Electrical Engineering from the Southeast University, Nanjing, China. He is currently an Associate Professor, in Department of Electrical and Computer Engineering, at the University of Detroit Mercy, Michigan, USA.
His research interests, of cross-disciplinary and multi-disciplinary, lie in two areas. One is in embedded systems, VLSI physical design automation, intelligence systems, VLSI CAD, optimization for VLSI design automation. The other is in robotics and automation. He was internationally recognized as a pioneer to apply Semi-definite Programming and Second Order Cone Programming into VLSI optimization design. He was awarded Faculty Research Awards in 2009, 2010, 2014 2015, and 2016 at University of Detroit Mercy, Michigan, 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), Cleveland, OH, 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. He has delivered some presentations as a keynote speaker in some conferences, such as 2016 International Conference on Artificial Intelligence and Computer Science, etc.
Dr. Luo serves as the Editorial Board Member of International Journal of Complex Systems – Computing, Sensing and Control; Associate Editor of International journal of Robotics and Automation (IJRA); 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 IEEE-IJCNN, IEEE-SSCI, etc. He has extensively published in reputed journal 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 National Science Foundation, USA, GRFP program, 2016-2017.