Chung-Chin Lu

Person
Organization	National Tsing Hua University
Country

Chung-Chin Lu is a professor from the Department of Electrical Engineering at National Tsing Hua University in Taiwan. His research interests include communication theory, system bioinformatics, quantum information science, and error-correcting codes.

Career History

• Professor, Dept of Electrical Engineering, National Tsing Hua University (2000 - Present)
• Visiting Scientist, Computational Neurobiology Lab, Salk Institute, USA (2007 - 2008)
• Visiting Scholar, Inst. for Neural Computation, University of California San Diego (2007 - 2008)
• Chairman, EE Dept, NTHU (2003 - 2006)
• Vice Chairman, EE Dept, NTHU (2000 - 2003)
• Visiting Scholar, EE Dept, Princeton University, USA (1998 - 1999)
• Associate Professor, EE Dept, NTHU (1987 - 2000)

ICANN and Internet Governance Participation

• Convenor, Civil IoT Construction Program Task Force, 2017 – Present
• Co-chair, 2006 Fall Workshop on Information Theory and Communications and 2006 Taiwan-Hong Kong Joint Workshop on Information Theory and Communications, 2006

• Program Co-chair, International Symposium on Communications, 1997
• Program Co-chair, Workshop on Communication networks, 1996

Education

• PhD in Electrical Engineering, University of Southern California
• M. Sc, Electrical Engineering, University of Southern California
• B. Sc, Electrical Engineering, National Taiwan University

Publications

Chung-Chin Lu is the author and co-author of many publications:

• On bit-level trellis complexity of Reed-Muller codes

• A search of minimal key functions for normal basis multipliers

• A systolic array implementation of the Feng-Rao algorithm

• Loss behavior in space priority queue with batch Markovian arrival process-Discrete-time case

• Efficient architectures for syndrome generation and error location search in the decoding of Hermitian codes

• A serial-in-serial-out hardware architecture for systematic encoding of Hermitian codes via Groebner bases

• Prediction of splice sites with dependency graphs and their expanded Bayesian networks

• Space-time code design for CPFSK modulation over frequency-nonselective fading channels

• Systolic array implementation of a real-time symbol-optimum multiuser detection algorithm

• A view of Gaussian elimination applied to early stopped Berlekamp-Massey algorithm

• Extracting transcription factor binding sites from unaligned gene sequences with statistical models