Education

• PhD, Nanyang Technological University, Singapore, Jan. 2002 ~
• Master Majored Computer Application, Northwestern Polytechnical University, Xi'an Shaanxi, P.R. China, Sept. 1998~Apr. 2001
• Bachelor Majored Computer Communication, Hunan University, Changsha Hunan, P.R. China, Sept. 1990~Jul.1994

Working Experience

• ASIC Engineer, Xi'an MeiOu Microelectronic Company,  Xi'an, Shaanxi, P.R.China Aug.2001~Dec.2001
• Hardware Engineer, Flight Automatic Control Research Institute,  Xi'an, Shaanxi, P.R.China Jul.1994~Sep.1998

Research Interests

• Evolvable Hardware (EHW), Evolvable Fuzzy Hardware (EFH), Evolvable System and the real-time applications
• VLSI design, Mixed Signal design
• Speech Signal Processing, Image Processing with EHW and EFH

Current Project

• My project focuses on Evolvable Fuzzy Hardware (EFH) system, which is a combination of evolvable system and fuzzy system.  Evolutionary computation is employed to search good fuzzy rule sets, membership functions and so on for the fuzzy system.  According to the evolved fuzzy rule sets, the hardware architecture of the fuzzy inference can be reconfigured.  Thus the system can be called EFH. Due to the very coarse evolution granularity compared with transistor level EHW, gate level EHW, and functional level EHW, its computation complexity can be much smaller and the whole system is more likely to be employed in real-time applications to accommodate intrinsic evolution and on-line adaptation.  One of its real-time application is packet switching problem in modern networks such ATM, MPLS and so on.  Due to the unpredictable network conditions, the cell flow patterns may change dramatically.  Although the existing conventional scheduling system may deliver perfect performance for specific traffic scenarios, it might suffer huge degradations if the cell flow patterns change much or keep dramatic changing.  According to their fixed control scheme, existing scheduling systems may not keep consistent system performance when the scenario is changing.  The EFH system with the intrinsic evolutionary and on-line adaptive scheme can trace the changes of cell flow patterns and keep desired QoS performance under different cell flow scenarios.  Another very inspiring characteristic of EFH is that the QoS component such as cell delay or cell loss can be tuned very conveniently according to the desired performance.  The whole system of EFH will be implemented on a chip including the evolution part and evaluation part.  Our future real-time application of EFH will be carried out on the Speech Signal Processing, Video Image Processing and so on.

Publication List

• M.H. Lim, Q. Cao, J.H. Li and W.L. Ng, “Evolvable Hardware Using Context Switchable Fuzzy Inference Processor,” to appear on IEE Proceedings - Computers and Digital Techniques.

• J.H. Li, M.H. Lim and Q. Cao, “Evolvable Fuzzy Hardware for Real-Time Embedded Control for Packet-Switching”, to appear as chapter in EVOLVABLE MACHINES: PRACTICE & EXPERIENCE published by Springer-Verlag, Heidelberg, 2004.   

• J.H. Li, M.H. Lim and Q. Cao, "Evolvable Fuzzy Hardware for Real-Time Embedded Control for Packet-Switching" 2004 Human-Competitive Results Awards competition, at the 2004 Genetic and Evolutionary Computation Conference (GECCO-2004), June 26-30, 2004, Seattle, Washington, USA. PowerPoint used for the presentation - GECCO.ppt.

• J.H. Li and M.H. Lim, "A Framework for Evolvable Fuzzy Hardware," Special session on Evolutionary Computing for Control and System Applications, ICONIP/SEAL/FSKD Joint Conference, 18-22 Nov 2002, Singapore.

• J.H. Li and M.H. Lim, “Evolvable fuzzy system for ATM cell scheduling”, in: Proc. 5th Int. Conf. Evolvable Syst.: From Biology to Hardware (ICES 2003) LNCS 2606, Andy M. Tyrrell, Pauline C. Haddow, Jim Torresen, Eds. Trondheim, Norway: Springer-Verlag. 2003, pp. 208-217

• J.H. Li, M.H. Lim and Q. Cao, “An Intrinsic Evolvable and Online Adaptive Evolvable Fuzzy Hardware Scheme for Packet Switching Network “, proceeding of 2004 NASA/DoD Conference on Evolvable Hardware, June 24-26, 2004, Seattle, Washington, USA.

• J.H. Li, M.H. Lim and Q. Cao, "An Evolvable Fuzzy Hardware Scheme for Packet - Switching Network", the 2nd International Conference on Artificial Intelligence in Engineering and Technology, Aug.3-5, 2004, Sabah, Malaysia.

• Q. Cao, M. H. Lim, J. H. Li, “A Novel Aggregation Circuit for Reconfigurable Fuzzy Inference Chip,” the 2nd International Conference on Artificial Intelligence in Engineering and Technology, Aug.3-5, 2004, Sabah, Malaysia.

• Q. Cao, M. H. Lim, K. V. Ling, C. W. Chan, J. H. Li, "A Digital Prototyping Realization for A Context Switchable Reconfigurable Fuzzy Inference Chip", the 10th International Symposium on Integrated Circuits, Devices & Systems, Singapore, Sep. 2004.