Computer Science

Research Areas

  • Data Analytics
  • Decision Analysis
  • Resource Allocation
  • Risk Management
  • Service Systems
  • Stochastic Modeling and Simulation
  • Business Analytics
  • Artificial Intelligence

Additional Information

  • Professional Affiliations
    • Institute for Operations Research and the Management Sciences (INFORMS)
    • Institute for Mathematical Statistics (IMS)
    • Netherlands Society for Statistics and Operations Research (VVS)
  • Honors & Awards
    • PECASE award, White House, 2016
    • Erlang Prize, INFORMS Applied Probability Society, 2012
    • Goldstine Fellowship, IBM Research, 2007
  • Education
    • PhD, Mathematics, University of Amsterdam
    • MS, Econometrics and Operations Research, Vrije Universiteit Amsterdam

Research Areas

  • Security and Privacy
  • Software Systems
  • Cloud Computing
  • Networked and Distributed Systems
  • Operating Systems
  • Programming Languages
  • Trustworthy Computing
  • Cybersecurity
  • Software Engineering & Testing
  • Program Analysis
     

Additional information

  • Professional Experience
    • Professor of Computer Science, Columbia University, 1998-
    • Associate Professor of Computer Science, Columbia University, 1990-1997
    • Assistant Professor of Computer Science, Columbia University, 1985-1989
       
  • Professional Affiliations
    • ACM
    • IEEE Computer Society
    • AAAI
       
  • Honors & Awards
    • ACM SIGSOFT Distinguished Paper Award, 2023,
    • ACM SIGSOFT Distinguished Reviewer Award, 2022.
    • APSCE Best Paper Nominee, 2021.
    • ACM SIGSOFT Distinguished Paper Award, 2016.
    • IWSC People's Choice Award for Best Position Pape, 2016.
    • ACM SIGSOFT Distinguished Paper Award, 2014.
    • NSF/Microsoft Future of Software Engineering Symposium Invited Panelist, 2013.
    • ICQS Best Paper Award, 2009.
    • ICWL Best Student Paper Award, 2005.
    • WWW Best Student Poster Award, 2005.
    • Autonomic Computing Workshop Invited Speaker, 2003.
    • WWW Best Paper Finalist, 2003.
    • IBM Almaden Institute Symposium Invited Speaker, 2002.
    • ACM COCS Keynote Speaker,1993.
    • ISLP Invited Speaker, 1993.
    • ACM SIGPLAN Vice-Chair for Operations, 1991-1993.
    • ACM SIGPLAN National Lecturer, 1989-1991.
    • IEEE Software Best Paper of Year, 1988.
    • NSF Presidential YOung Investigator, 1988-1993.
    • IBM Faculty Award, 1988-1990.
    • DEC Faculty Award, 1986-1988.  
  • Education
    • PhD, Computer Science, Carnegie Mellon
    • MS, Computer Science, Carnegie Mellon
    • BS, Computer Science and Engineering, MIT

Research Areas

  • Natural Language Processing and Speech
  • Artificial Intelligence (AI) and Machine Learning (ML)
  • Generative AI & Large Language Models (LLMs)
  • Natural Language and Conversational AIs
  • Computer Science Education

Additional Information

  • Professional Experience
    • Lecturer in the Discipline of Natural Language Processing, Columbia University, 2017-
    • Preceptor, Columbia University, 2014-2016Co-Founder / VP Research and Engineering, WordsEye Inc., New York, 2013-2014
    • Visiting Research Assistant, University of California Information Sciences Institute, 2012 and 2013
  • Education
    • PhD, Computer Science, Columbia University
    • MSc, Language Science and Technology, Saarland University
    • BSc, Cognitive Science, University of Osnabrück

Additional Information

  • Education
    • PhD, Computer Science, Columbia University
    • BA, Physics, Columbia University

Research Areas

  • Natural Language Processing and Speech
  • Artificial Intelligence (AI) and Machine Learning (ML)
  • Generative AI & Large Language Models (LLMs)
  • Natural Language and Conversational AIs

Additional Information

  • Professional Experience
    • Founding Director, Data Science Institute, Columbia University, 2012–2017
    • Department Chair, Computer Science, 1998-2003
    • Vice Dean for Research
    • Henry and Gertrude Rothschild Professor of Computer Science
  • Professional Affiliations
    • Association of Computational Linguistics, served as President, Vice President, and Secretary-Treasurer
    • Computing Research Association, served as Board Member and Secretary of the Board
  • Honors & Awards
    • Elected to the American Philosophical Society, 2023
    • IEEE Innovations in Societal Infrastructure Award, 2023
    • Keynote Speaker, Association for Computational Linguistics, Seattle, WA, 2020
    • Best Paper Award, Kedzie and McKeown, A Good Sample Is Hard to Find: Noise Injection Sampling and Self-Training for Neural Language Generation Models, in Proceedings of the International Natural Language Generation Conference (INLG 2019), Tokyo, Japan, October 2019
    • Elected to American Academy of Arts and Sciences, 2019
      Selected as one of the Founding Fellows of the Association for Computational Linguistics, 2012
    • Anita Borg Women of Vision Award in Innovation for work on text summarization, 2010
    • Columbia Great Teacher Award, 2010
    • Elected as an ACM Fellow, 2003
    • Selected as AAAI Fellow, 1994
    • National Science Foundation Faculty Award for Women, 1991
    • National Science Foundation Presidential Young Investigator Award, 1985

Research Areas

  • Natural Language Processing and Speech
  • Computational Biology
  • Applied and Theoretical Machine Learning
  • Artificial Intelligence
  • Causal Inference
  • Generative AI & Large Language Models (LLMs)

Additional Information

  • Honors & Awards
    • Guggenheim Fellowship, 2017
    • Fellow of the Institute for Mathematical Statistics, 2017
    • ICML Test of Time Award (for “Dynamic Topic Models”), 2016
    • Presidential Award for Outstanding Teaching, Honorable Mention, 2016
    • Fellow of the Association of Computing Machinery, 2015
    • SIGIR Test of Time Award Honorable Mention (for “Modeling Annotated Data”), 2015
    • ACM Prize in Computing, 2013
    • Blavatnik Award for Young Scientists: Faculty Winner, 2013 P
    • Presidential Early Career Award for Scientists and Engineers (PECASE), 2011
    • Office of Naval Research Young Investigator Award, 2011 
      Alfred P. Sloan Fellowship, 2010
  • Professional Experience
    • Professor, Departments of Statistics and Computer Science, Columbia University, 2014
    • Associate Professor, Department of Computer Science, Princeton University, 2011–2014
    • Assistant Professor, Department of Computer Science, Princeton University, 2006–2011 
  • Professional Affiliations
    • Association of Computing Machinery
    • Institute for Mathematical Statistics
    • American Statistical Association
    • Bernoulli Society
       

Research Areas

  • Networking and Communications
  • Computer Networks
  • Wireless Networks
  • Multimedia Networks
  • Performance Evaluation
  • Network Security
  • Distributed Protocol Design and Analysis

Additional Information

  • Professional Affiliations
    • IEEE
    • ACM
  • Honors & Awards
    • IEEE Outstanding Paper on New Communication Topics, 2011.
    • ACM CoNext Best Paper Award, 2008.
    • IBM Faculty Achievement Award, 2004.
    • IEEE ICNP Best Paper Award, 2003.
    • NSF CAREER Award, 2002.
    • ACM SIGMETRICS Best Student Paper Award, 2000.
  • Professional Experience
    • Research Scientist, Google, 2023-
    • Professor of Computer Science, Columbia University, 2020-
    • Associate Professor of Computer Science, 2008-2019
    • Associate Professor of Electrical Engineering, 2005-2007
    • Assistant Professor of Electrical Engineering, 2000-2004

Research Areas

  • Computer Vision
  • Machine Learning
  • Artificial Intelligence
  • Multimedia Retrieval
  • Image Video Recognition
  • Multimedia Knowledge Extraction

Additional Information

  • Research Experience
    • Amazon Scholar, 2020-2022
    • Visiting faculty, Microsoft Research, Beijing, 2006
    • Visiting faculty, IBM T. J. Watson Research Center, 2004-2006
  • Professional Experience
    • Dean, Columbia Engineering, 2022-
    • Interim Dean, Columbia Engineering, 2021-2022
    • Senior Executive Vice Dean, Columbia Engineering, 2015–2021
    • Senior vice dean of engineering, Columbia University, 2012–2015
    • Chief Technical Advisor, VidRovr Inc., 2016-
    • Chief Technical Advisor, Axon Image Inc., 2015-
    • Richard Dicker Chair Professor, Columbia University, 2011–
    • Professor of computer science, Columbia University, 2011–
    • Chair of electrical engineering, Columbia University 2007–2010
    • Professor of electrical engineering, Columbia University, 2002–2011
    • Associate professor of electrical engineering, Columbia University, 1997–2002
    • Assistant professor of electrical engineering, Columbia University, 1993–1997
  • Professional Affiliations
    • Fellow of the American Association for the Advancement of Science
    • Fellow of the Institute of Electrical and Electronics Engineers
    • Fellow of Association of Computing Machinery (ACM)
  • Honors & Awards
    • National Academy of Engineering, 2023
    • National Academy of Inventors, 2022
    • Academia Sinica, 2018
    • Fellow, Association for Computing Machinery, 2017
    • Honorary Doctorate, University of Amsterdam, 2016
    • Most Influential Scholar in the Field of Multimedia, AMiner, 2016
    • Great Teacher Award, The Society of Columbia Graduates, 2013
    • Technical Achievement Award, IEEE Signal Processing Society, 2012
    • Technical Achievement Award, ACM Special Interest Group in Multimedia, 2011
    • American Association for the Advancement of Science, 2010
    • Kiyo Tomiyasu Award, IEE, 2009
    • Young Investigator Award, Office of Naval Research, 1998–2001
    • Career Award, National Science Foundation, 1995–1998
  • Selected Publications

    Liu, Wei, Jun Wang, Rongrong Ji, Yu‐Gang Jiang, and Shih‐Fu Chang. "Supervised hashing with kernels." In Computer Vision and Pattern Recognition (CVPR), IEEE Conference on, pp. 2074‐2081, 2012.

    Wu, Xiao‐Ming, Zhenguo Li, Anthony M. So, John Wright, and Shih‐Fu Chang. "Learning with partially absorbing random walks." In Advances in Neural Information Processing Systems (NIPS), pp. 3077‐3085. 2012.

    Wang, Jun, Tony Jebara, and Shih‐Fu Chang. "Semi-supervised learning using greedy max‐cut." Journal of Machine Learning Research 14, no. Mar (2013): 771‐800.

    Ye, Guangnan, Yitong Li, Hongliang Xu, Dong Liu, and Shih‐Fu Chang. "Eventnet: A large scale structured concept library for complex event detection in video." In Proceedings of ACM international conference on Multimedia, pp. 471‐480. ACM, 2015.

    Borth, Damian, Rongrong Ji, Tao Chen, Thomas Breuel, and Shih‐Fu Chang. "Large‐scale visual sentiment ontology and detectors using adjective noun pairs." In Proceedings of ACM international conference on Multimedia, pp. 223‐232. ACM, 2013.

    Smith, John R., and Shih‐Fu Chang. "VisualSEEk: a fully automated content‐based image query system." In ACM international conference on Multimedia, pp. 87‐98. ACM, 1997.