Fuzzy Set: 1965 … Fuzzy Logic: 1973 … BISC: 1990 … New Direction: 2000 - ….

 

BISC Staff

 

VISITING OPPORTUNITIES: Download Forms
The BISC visiting opportunities are limited to the BISC research program,  BISC-ILP and BISC-BEECSA members.
For more information please contact:
Prof. Lotfi A. Zadeh

The objective of the program is to encourage close cooperation between the industrial, government, and academic communities and the BISC program. This collaboration includes a faster transfer and exchange of our research results, implementation of focused research on problems of interest to members, increased members' access to publications, students, and faculty, and involvement in research and education through grants to support our activities at BISC program.

 

BISC-Directors and Administration

Prof. Lotfi A. Zadeh – Director

 

Prof. C. Sequin – Founding Associate Director 

Prof. M. Tomizuka – Founding Associate Director   

Prof. E. Wong – Founding Associate Director

Ixel Chavez  - Administrative Assistant

Leslie Goldstein- Grants Administrator

 

BISC Research Team

 

Ziheng Huang zhiheng@eecs.berkeley.edu

Zhiheng Huang received the B.Sc. degree in industrial equipment & control engineering and computer science from South China University of Technology, P. R. China in 2000, and the M.Sc. and Ph.D. degrees in artificial intelligence from the University of Edinburgh, U.K., in 2001 and 2006 respectively.

 

Zhiheng’s work was mainly concerned with fuzzy set theory, approximate modelling, machine learning for large data sets, rule-based model simplification, fuzzy probability, and fuzzy interpolation. His Ph.D. thesis entitled Rule Model Simplification proposes a rule base simplification method and a family of fuzzy interpolation methods to address two problems existing in current fuzzy rule-base models: the curse of dimensionality problem and the sparse rule base problem. Zhiheng was a visiting research fellow in Australian National University, where he proposed a new classification method termed pattern trees. Pattern trees are not only capable of achiving high accuracy rate in classification and prediction problems, but also robus in the sense of avoiding overfitting.

 

Zhiheng is now a research scholar at BISC (Berkeley Initiative in Soft Computing), Univeristy of California at Berkeley. His research focuses on the BISC decision support system (BISC-DSS), which assists users to make decisions in an imprecise, uncertain, partial truth, and vague environment. 

Web: http://www.eecs.berkeley.edu/~zhiheng/

 

 Dongwon Kim : dkim@eecs.berkeley.edu

 

Dongwon Kim is received Ph.D. degree in electrical engineering from Korea University, Seoul, Korea in 2007. His research interests are in intelligent control systems and robotics using soft computing methods such as fuzzy systems, neural networks, genetic algorithms, GMDH-type algorithms. In his Ph.D. thesis, Advanced Intelligent Computation Methods and Their Applications to Humanoid Robot System, several soft computing algorithms are developed and applied to controlling and modeling of humanoid robots and complex nonlinear systems.

 

Dr. Kim was research professor in BK21 information technology of Korea University, and adjunct professor of department of electrical & electronic engineering, Anyang University, Korea. He is now editorial advisory board of Journal of Humanoids and program committee of several international conferences such as International Conference on Fuzzy Theory and Technology (FT&T), Intelligent Sensing and Information Processing, Knowledge-Based Intelligent Information & Engineering Systems, Intelligent Systems Design and Applications. He is also potential reviewer of IEEE Trans. SMC, International Journal of Systems Science, and IET Control Theory & Applications.

 

Dr. Kim is now a post-doctoral research scholar at BISC (Berkeley Initiative in Soft Computing), University of California Berkeley. His research focuses on the autonomous environment recognition and walking intelligence humanoid-robot based on the neuro-fuzzy and soft computing

Web: http:// dkim.egloos.com /

 

 

Asli Celikyilmaz, Ph.D., asli@eecs.berkeley.edu

 

Asli has received M.A.Sci. (2005) and Ph.D (2008) degrees in Industrial Engineering from University of Toronto, Canada. Her research interests are Uncertainty Modeling with Fuzzy Functions using soft computing algorithms such as genetic algorithms and neural networks.

 

During 2002-2004, she has worked as a Systems Architect/Research Assistant in IIC at Innovations of Foundation of University of Toronto. From 2004 until 2008, she is working as a Research Assistant in the Department of Mechanical and Industrial Engineering at University of Toronto. She has numerous publications on fuzzy system modeling, modeling uncertainty, pattern recognition, management information systems, and decision support systems. She has co-authored a book entitled “Modeling Uncertainty with Fuzzy Logic” (to be published).

 

Since 2008, Asli has been conducting research as a postdoctoral scholar at the BISC Group at the Electrical Engineering and Computer Science Division at University of California, Berkeley. Her current research is building intelligent natural language processing algorithms for Question/Answering system for British Telecommunications (BT)/BISC. She is also doing research on Type-2 Fuzzy Systems which could learn the secondary membership values dynamically from the data using soft computing methods.

Web: http://www.eecs.berkeley.edu/~asli/

 

 

Visiting Researcher:

 

Euntai Kim, etkim@yonsei.ac.kr

 

Euntai Kim was born in Seoul, Korea, in 1970. He received the B.S. (as the top of the university) and the M.S. and the Ph.D. degrees in electronic engineering, all from Yonsei University, Seoul, Korea, in 1992, 1994 and 1999, respectively. From 1999 to 2002, he was a full-time lecturer in the Department of Control and Instrumentation Engineering at Hankyong National University, Kyonggi-do, Korea. Since 2002, he has joined the faculties of the School of Electrical and Electronic Engineering at Yonsei University, where he is currently an associate professor. He was a visiting scholar at University of Alberta, Edmonton, Canada, in 2003. He was awarded Haedong prize from the Institute of Institute of Electronics Engineers of Korea and Woo kwangbang's prize from the Institute of Control, Automation, and Systems Engineers in 2003 and 2004, respectively. He is an associate editor of International Journal of Control and Systems. He was also listed in Marquis Who’s Who in the World in 2006 and 2007 and Marquis Who’s Who in Asia in 2007.

 

Dr.Kim is now a visiting scholar at BISC (Berkeley Initiative in Soft Computing), Univeristy of California at Berkeley and is also a director of CILAB (Computational Intelligence Lab) of Yonsei University, Korea. His current research interests include computational intelligence and machine vision and their application to intelligent service robot, unmanned vehicle, homenetwork and biometrics.