Chung-Chin Lu: Difference between revisions
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==Career History== | ==Career History== | ||
Dept of Electrical Engineering, National Tsing Hua University (2008 - Present) | Dept of Electrical Engineering, National Tsing Hua University (2008 - Present) | ||
Computational Neurobiology Lab, Salk Institute, USA (2007 - 2008) | Computational Neurobiology Lab, Salk Institute, USA (2007 - 2008) | ||
Inst. for Neural Computation, University of California San Diego (2007 - 2008) | Inst. for Neural Computation, University of California San Diego (2007 - 2008) | ||
EE Dept, Princeton University (1998 - 1999) | EE Dept, Princeton University (1998 - 1999) | ||
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==ICANN and Internet Governance Participation== | ==ICANN and Internet Governance Participation== | ||
Co-chair, Workshop on Information Theory and Communications and 2006 Taiwan-Hong Kong Joint Workshop on Information Theory and Communications, 2006 | Co-chair, 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, International Symposium on Communications, 1997 | ||
Program Co-chair, Workshop on Communication networks, 1996 | Program Co-chair, Workshop on Communication networks, 1996 | ||
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==Education== | ==Education== | ||
B. Sc, Electrical Engineering, National Taiwan University | B. Sc, Electrical Engineering, National Taiwan University | ||
M. Sc, Electrical Engineering, University of Southern California | M. Sc, Electrical Engineering, University of Southern California | ||
PhD in Electrical Engineering, University of Southern California | PhD in Electrical Engineering, University of Southern California | ||
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==Publications== | ==Publications== | ||
Chung-Chin Lu is the author and co-author of many publications: | Chung-Chin Lu is the author and co-author of many publications: | ||
On bit-level trellis complexity of Reed-Muller codes | On bit-level trellis complexity of Reed-Muller codes | ||
A search of minimal key functions for normal basis multipliers | A search of minimal key functions for normal basis multipliers | ||
A systolic array implementation of the Feng-Rao algorithm | A systolic array implementation of the Feng-Rao algorithm | ||
Loss behavior in space priority queue with batch Markovian arrival process-Discrete-time case | 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 | 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 | 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 | Prediction of splice sites with dependency graphs and their expanded Bayesian networks | ||
Space-time code design for CPFSK modulation over frequency-nonselective fading channels | Space-time code design for CPFSK modulation over frequency-nonselective fading channels | ||
Systolic array implementation of a real-time symbol-optimum multiuser detection algorithm | Systolic array implementation of a real-time symbol-optimum multiuser detection algorithm | ||
A view of Gaussian elimination applied to early stopped Berlekamp-Massey 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 | Extracting transcription factor binding sites from unaligned gene sequences with statistical models | ||
==Awards== | ==Awards== |
Revision as of 02:40, 24 July 2018
Organization: | National Tsing Hua University |
Affiliation: | ICANN |
Stakeholder Group(s): | ,|xyz|xyz| }} |
Region: | Asia |
Country: | Taiwan |
Email: | cclu@ee.nthu.edu.tw |
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
Dept of Electrical Engineering, National Tsing Hua University (2008 - Present)
Computational Neurobiology Lab, Salk Institute, USA (2007 - 2008)
Inst. for Neural Computation, University of California San Diego (2007 - 2008)
EE Dept, Princeton University (1998 - 1999)
ICANN and Internet Governance Participation
Co-chair, 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
B. Sc, Electrical Engineering, National Taiwan University
M. Sc, Electrical Engineering, University of Southern California
PhD in Electrical Engineering, University of Southern California
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