|Professor Er Meng Joo is currently a Full Professor in Electrical and Electronic Engineering and Director of Renaissance Engineering Programme, College of Engineering (CoE). He is also an elected member of the NTU Advisory Board, the NTU Senate Steering Committee and the Institution of Engineers, Singapore (IES) Council.
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, 16 book chapters and more than 400 refereed journal and conference papers in his research areas of interest.
In recognition of the significant and impactful contributions to Singapore’s development by the research project entitled “Development of Intelligent Techniques for Modelling, Controlling and Optimising Complex Manufacturing Systems,” Professor Er won the Institution of Engineers, Singapore (IES) Prestigious Engineering Achievement Award 2011. Under his leadership, the NTU Team emerged first runner-up in the Freescale Technology Forum Design Challenge 2008. The NTU is the only Asian Team among the top three positions at the first Feescale’s first green engineering design contest, reaffirming NTU’s strength in design, creativity and innovation. He is also the only dual winner in Singapore IES Prestigious Publication Award in Application (1996) and IES Prestigious Publication Award in Theory (2001). 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 and the Most Zealous Professor of the Year Award 2009. He also received the Best Session Presentation Award at the World Congress on Computational Intelligence in 2006. On top of this, he has more than 40 awards at international and local competitions.
Currently, Professor Er serves as the Editor-in-Chief for the IES Journal B on Intelligent Devices and Systems, an Area Editor of International Journal of Intelligent Systems Science and an Associate Editor of twelve refereed international journals, namely IEEE Transactions on Fuzzy Systems, International Journal of Fuzzy Systems, Neurocomputing, International Journal of Humanoid Robots, Journal of Robotics, International Journal of Mathematical Control Science and Applications, International Journal of Applied Computational Intelligence and Soft Computing, International Journal of Fuzzy and Uncertain Systems, International Journal of Automation and Smart Technology, International Journal of Modelling, Simulation and Scientific Computing, International Journal of Intelligent Information Processing and the Open Electrical and Electronic Engineering Journal. Furthermore, he serves a Guest Editor of International Journal of Neural Systems.
Professor Er has been invited to deliver more than 60 keynote speeches and invited talks overseas. He has also been active in professional bodies. Currently, he is the Vice-Chairman of IEEE Computational Intelligence Society (CIS) Standards Committee, Chairman of IEEE Computational Intelligence Society Singapore Chapter and Chairman of IES Electrical and Electronic Engineering Technical Committee. 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 since it was inaugurated in 2006. In recognition of his outstanding contribution to IES, he was awarded the IES Silver Medal in 2011.
|Professor Er Meng Joo's areas of expertise are intelligent control theory and applications, fuzzy logic and neural networks and robotics and automation. His current works focus on control theory and applications, fuzzy logic and neural networks, computational intelligence, cognitive systems, robotics and automation, sensor networks and biomedical engineering.|
- Condition Assessment and Remaining Life Prediction in Remanufacturing Based on a Data Modelling Approach
- N. Wang, M.J. Er and W. Meng. (2009). A Fast and Accurate Online Self-organizing Scheme for Parsimonious Fuzzy Neural Networks. Neurocomputing, 72(16-18), 3818-3829.
- M.J. Er and Y. Zhou. (2008). Automatic Generation of Fuzzy Inference Systems via Unsupervised Learning Neural Networks. Neural Networks, 21(10), 1556-1566.
- M.J. Er, S.Q. Wu, J.W. Lu and H.L. Toh. (2002). Face Recognition Using Radial Basis Function (RBD) Neural Networks. IEEE Transactions on Neural Networks, 13(3), 697-710.
- S.Q. Wu, M. J. Er and Y. Gao. (2001). A Fast Approach for Automatic Generation of Fuzzy Rules by Generalized Dynamic Fuzzy Neural Networks. IEEE Transactions on Fuzzy Systems, 5(4), 578-594.
- S.Q. Wu and M.J. Er. (2000). Dynamic Fuzzy Neural Networks: A Novel Approach to Function Approximation. IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics, 30(2), 358-364.