Jump to content

Tsachy Weissman: Difference between revisions

From Wikipedia, the free encyclopedia
Content deleted Content added
External links: added link to "The Informaticists"
dab-needed tag
Line 21: Line 21:
}}
}}


'''Tsachy (Itschak) Weissman''' is Professor of Electrical Engineering at Stanford University.<ref name="Stanford profile">[https://profiles.stanford.edu/itschak-weissman Stanford profile, Itschak Weissman]</ref> He is founding director of the Stanford Compression Forum.<ref name="Stanford profile" /> His research interests include Information theory, statistical signal processing, and their applications, with recent emphasis on biological applications, in genomics in particular. [[Lossless compression]] and [[lossy compression]]. Delay-constrained and complexity-constrained compression and communication. Network [[information theory]]. Feedback communications. [[Directed information]]. The interplay between [[estimation theory]] and [[information theory]]. [[Entropy (information theory)]]. [[Noise reduction]] (Denoising), [[filtering]], [[prediction]], [[sequential decision making]], and learning. Connections with probability, statistics, and computer science (as listed in Weissman's CV PDF link).<ref name="Stanford profile"/>
'''Tsachy (Itschak) Weissman''' is Professor of Electrical Engineering at Stanford University.<ref name="Stanford profile">[https://profiles.stanford.edu/itschak-weissman Stanford profile, Itschak Weissman]</ref> He is founding director of the Stanford Compression Forum.<ref name="Stanford profile" /> His research interests include Information theory, statistical signal processing, and their applications, with recent emphasis on biological applications, in genomics in particular. [[Lossless compression]] and [[lossy compression]]. Delay-constrained and complexity-constrained compression and communication. Network [[information theory]]. Feedback communications. [[Directed information]]. The interplay between [[estimation theory]] and [[information theory]]. [[Entropy (information theory)]]. [[Noise reduction]] (Denoising), [[filtering]]{{dn|date=October 2018}}, [[prediction]], [[sequential decision making]], and learning. Connections with probability, statistics, and computer science (as listed in Weissman's CV PDF link).<ref name="Stanford profile"/>


He is Senior Technical Advisor to HBO show [[Silicon Valley (TV series)]], and namesake of the [[Weissman score]].<ref>[https://spectrum.ieee.org/view-from-the-valley/computing/software/a-madefortv-compression-algorithm IEEE Spectrum, "A Made-For-TV Compression Algorithm"], 25 July 2014</ref> Weissman is co-inventor of the Discrete Universal Denoiser (DUDE) algorithm.<ref>[http://www.labs.hp.com/research/info_theory/dude/index.html HP Labs, Discrete Universal Denoiser (DUDE)]</ref>
He is Senior Technical Advisor to HBO show [[Silicon Valley (TV series)]], and namesake of the [[Weissman score]].<ref>[https://spectrum.ieee.org/view-from-the-valley/computing/software/a-madefortv-compression-algorithm IEEE Spectrum, "A Made-For-TV Compression Algorithm"], 25 July 2014</ref> Weissman is co-inventor of the Discrete Universal Denoiser (DUDE) algorithm.<ref>[http://www.labs.hp.com/research/info_theory/dude/index.html HP Labs, Discrete Universal Denoiser (DUDE)]</ref>

Revision as of 15:27, 3 October 2018

Itschak (Tsachy) Weissman
Alma materTechnion – Israel Institute of Technology
Known forInformation Theory and Communications, Statistical Signal Processing, Weissman score
Scientific career
FieldsInformation Theory, Digital Communications, Statistical Signal Processing, Applications
InstitutionsStanford University
Doctoral studentsHimanshu Asnani (PhD ‘14) received the 2015 Marconi Society Young Scholar Award. Sivaramakrishnan, Kamakshi (PhD), founder Drawbridge (company)

Tsachy (Itschak) Weissman is Professor of Electrical Engineering at Stanford University.[1] He is founding director of the Stanford Compression Forum.[1] His research interests include Information theory, statistical signal processing, and their applications, with recent emphasis on biological applications, in genomics in particular. Lossless compression and lossy compression. Delay-constrained and complexity-constrained compression and communication. Network information theory. Feedback communications. Directed information. The interplay between estimation theory and information theory. Entropy (information theory). Noise reduction (Denoising), filtering[disambiguation needed], prediction, sequential decision making, and learning. Connections with probability, statistics, and computer science (as listed in Weissman's CV PDF link).[1]

He is Senior Technical Advisor to HBO show Silicon Valley (TV series), and namesake of the Weissman score.[2] Weissman is co-inventor of the Discrete Universal Denoiser (DUDE) algorithm.[3]

On his personal website, Weissman has spoken out against intimidation and sexual harassment in the information theory community.[4]

Education

Weissman received his B.Sc in Electrical Engineering (Summa Cum Laude) in 1997, and his PhD (2001) from Technion – Israel Institute of Technology.[5]

Career

In 2002, Weissman joined Hewlett-Packard (HP) Laboratories as a researcher. In 2003 he became a Visiting Scientist at HP.[6] At HP, he was co-inventor of a denoising algorithm named the Discrete Universal Denoiser (DUDE).

Weissman became Assistant Professor of Electrical Engineering at Stanford University in 2003.[7] [8] [9] He was promoted to Associate Professor in 2010,[10] and professor in 2015.[11]

He was named Fellow of the Institute of Electrical and Electronics Engineers IEEE in 2013 [12] for contributions to information theory and its applications in signal processing.

Patents

Tsachy Weissman has been granted 15 U.S. patents.[13]

Books

  • B. Marcus, K. Petersen and T. Weissman (eds.), Entropy of Hidden Markov Processes and Connections to Dynamical Systems, Cambridge University Press, July 2011.

References