Computational Engineering & AI
Research Areas
- Data Science
- Systems Biology
Additional Information
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Professional Affiliations
- American Association for Cancer Research
- International Society for Computational Biology
- Institute of Electrical and Electronics Engineers
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Honors & Awards
- Fellow, National Academy of Inventors, 2014
- Great Teacher Award, Society of Columbia Graduates, Columbia University, 2001
- IEEE Fellow, 1998
- National Science Foundation Presidential Young Investigator Award, 1986-1991
- IBM Invention Achievement Award, 1983
- IBM Outstanding Innovation Award, 1982
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Professional Experience
- Charles Batchelor Professor of Electrical Engineering, Columbia University, 2011–
- Professor of Electrical Engineering, Columbia University, 1992-
- Acting Chairman, Dept. of Electrical Engineering, Columbia University, Sept.-Dec. 1999
- Associate Professor of Electrical Engineering, Columbia University, 1985–1992
- Assistant Professor of Electrical Engineering, Columbia University, 1983–1985
- Research Staff Member, IBM Thomas J. Watson Research Center, 1978-1983
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Education
- PhD, Electrical Engineering & Computer Science, University of California, Berkeley
- MS, Electrical Engineering & Computer Science, University of California, Berkeley
- BS, Electrical Engineering, National Technical University of Athens, Greece
Research Areas
- Security and Privacy
- Artificial Intelligence (AI) and Machine Learning (ML)
- Applied and Theoretical Machine Learning
- Data Privacy
- Economics & Computation
- Game Theory
- Human-Computer Interaction (HCI)
- Trustworthy Computing
- Data Analytics
- Decision Analysis
- Optimization
- Algorithmic Fairness
- Business Analytics
Additional Information
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Professional Affiliations
- Fellow, Center for Democracy & Technology
- Advisory Board Member, Future of Privacy Forum
- Member, ACM U.S. Technology Policy Committee
- Member, IEEE Standards Association
- Member, Association of Computing Machinery (ACM)
- Member, Society for Industrial and Applied Mathematics (SIAM)
- Member, Institute for Operations Research and the Management Sciences (INFORMS)
- Former Advisory Board Member, U.S. Census Atlanta Regional Data Center (ARDC)
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Honors & Awards
- Google NYC Cyber Award, 2023
- DARPA Director's Fellowship Award, 2023
- Early Career Faculty Impact Fellowship, 2023
- Best Paper Award at SaTML, 2023
- Center for Democracy & Technology Fellowship, 2023
- Provost's Teaching and Learning Innovating Course Design Award, 2022
- Best Paper Award Runner-up at CCS, 2021
- DARPA Young Faculty Award, 2021
- Apple Privacy-Preserving Machine Learning Award, 2021
- National Academy of Engineering Frontiers of Engineering Fellowship, 2020
- NSF CAREER Award, 2020
- JPMorgan Faculty Award, 2020
- Google Research Fellowship (through Simons Institute for the Theory of Computing), 2019
- NIST Unlinkable Data Challenge, Grand Prize Winner and People's Choice Award Winner, 2018
- Mozilla Research Grant, 2018
- ACM SIGecom Doctoral Dissertation Honorable Mention, 2018
- Amori Doctoral Prize in Computing and Mathematical Sciences, 2017
- Caltech Leadership Award, 2017
- Simons Award for Graduate Students in Theoretical Computer Science, 2015
- Best Paper Award at DISC, 2014
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Professional Experience
- Associate Professor, Department of Industrial Engineering and Operations Research, Columbia University, 2023-present
- Assistant Professor, Department of Industrial Engineering and Operations Research, Columbia University, 2021-2022
- Assistant Professor, School of Industrial and Systems Engineering, Georgia Institute of Technology, 2017-2020
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Education
- PhD, Computing and Mathematical Sciences, California Institute of Technology
- MS, Computer Science, Northwestern University
- BA, Mathematics and Economics, University of Southern California
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
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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
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Education
- PhD, Computer Science, Columbia University
- MSc, Language Science and Technology, Saarland University
- BSc, Cognitive Science, University of Osnabrück
Additional Information
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Education
- PhD, Computer Science, Columbia University
- BA, Physics, Columbia University
Research Areas
- Speech neurophysiology
- Deep neural network models
- Brain computer interfaces
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Professional Experience
- Associate Professor, Department of Electrical Engineering and Zuckerman Mind Brain Behavior Institute (ZMBBI), Columbia University, 2020-
- Assistant Professor, Department of Electrical Engineering, Columbia University, 2013-2020
- Postdoctoral Scholar, Department of Neurological Surgery, University of California San Francisco. 2010-2013
- Postdoctoral Scholar, Center for Language and Speech Processing, Johns Hopkins University, 2008-2010
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Honors & Awards
- 2022 IEEE Signal Processing Society Best Paper Award
- 2022 Misha Mahowald Prize for Neuromorphic Engineering
- 2019 Top-10 Health Innovation of the Year award, Health Innovations magazine
- 2019 Top-10 breakthroughs of the year award, Institute of Physics
- 2018 & 2019 Grand prize winner at NYC Media Lab
- 2018 Young Investigator Award, Advances and Perspectives in Auditory Neuroscience, San
- 2018 Top 10 most significant and promising tech innovators of the year award, UNICEF
- 2016, National Science Foundation (NSF), Faculty Early Career Development Award
- 2015, Pew Charitable Trust, Pew Scholar in the Biomedical Sciences Award
- 2015, Research Initiatives in Science and Engineering Award (RISE)
- 2015, Kavli Institute for Brain Science Award
- 2005, George Harhalakis Outstanding Systems Engineering Graduate Student Award
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Education
- PhD, Electrical Engineering, University of Maryland College Park
- MS, Electrical Engineering, University of Maryland College Park
- BS, Electrical Engineering, Sharif University of Technology
Research Areas
- Decision Analysis
- Economics & Computation
- Game Theory
- Optimization
- Resource Allocation
- Algorithmic Fairness
- E-commerce
- Large-scale Optimization
- Matching Platforms
Additional Information
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Professional Experience
- Assistant Professor of IEOR, Columbia University, 2019-
- Research Scientist, Facebook Core Data Science, 2018-2020
- Software Developer, Netmester A/s, 2010-2011
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Professional Affiliations
- INFORMS
- ACM
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Honors & Awards
- ONR Young Investigator award, 2022
- NSF CAREER award, 2023
- Facebook Fellowship, 2016
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Education
- PhD, in computer science, Carnegie Mellon University
- MS, software development and technology, IT University of Copenhagen
- BA human-centered informatics, Aalborg 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
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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
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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
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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
Additional Information
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Research Experience
- Postdoctoral fellow, MIT (2011-2013)
- Postdoctoral fellow, Santa Fe Institute (2014-2015)
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Professional Experience
- Assistant Professor of Civil Engineering and Engineering Mechanics, Columbia University (2022 – present)
- Principal Investigator, ETH Future Cities Laboratory, Singapore (2016-2022)
- Assistant Professor (adjunct), Nanyang Technological University, Singapore (2016-2022)
- Senior Research Associate, University of Bern, Switzerland (2021-2022)
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Honors & Awards
- Finalist, Science Breakthrough of the Year, Falling Walls Berlin, Germany (2021)
- Winner, Data for Development (D4D) Challenge, MIT Media Lab, Cambridge, USA (2015)
Research Areas
- Vision and Robotics
- Applied and Theoretical Machine Learning
- Artificial Intelligence
- Design Automation
- Robotics and Autonomous Systems
- Robotics and Control Systems
- Human-Centered Robotics
- Rehabilitation Engineering
- Robotics and Automation
Additional Information
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Honors & Awards
- Time Magazine Best Inventions of the Year (2023)
- Sloan Research Fellowship, Alfred P. Sloan Foundation (2016)
- National Science Foundation CAREER Award (2016)
- Office of Naval Research Young Investigator Award (2015)
- IEEE Robotics and Automation Society Early Career Award (2013)
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Professional Experience
- Associate Professor of Mechanical Engineering and Computer Science (affiliated), Columbia University, 2021 - present
- Assistant Professor of Mechanical Engineering and Computer Science (affiliated), Columbia University, 2014 - 2021
- Senior Research Scientist, Google, 2013 - 2014
- Research Scientist, Willow Garage Inc., 2009 - 2013
Research Areas
- Artificial Intelligence
- Computational Engineering Science
- Data Science
- Imaging
- Materials
- Modeling & Simulation
- Robotics
- Robotics, digital manufacturing, 3D printing
Additional information
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Professional Experience
- 2014 - 3DBio Inc., Co-founder, Bioprinting
- 2011 - Nutonian Inc., Co-founder, Eureqa
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Honors & Awards
- US National Academy of Engineering Annual Gilbreth Lecturer, 2012.
- Forbes “Top 7 Data scientists in the world”, 2011.
- Popular Science’s one of 25 most Awesome labs in the US, 2011.
- Discover Magazine’s 25 most important discoveries of 2009.
- Esquire Magazine Best & Brightest, 2007.
- Popular Mechanics Breakthrough Award, 2007.
- TIME Magazine’s “Most important events of 2000”.
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Education
- Postdoc, Mechanical Engineering, Massachusetts Institute of Technology
- Postdoc, Computer Science, Brandeis University
- PhD, Mechanical Engineering, Technion - Israel Institute of Technology
- BS, Mechanical Engineering, Technion - Israel Institute of Technology
Research Areas
- Networking and Communications
- Computer Networks
- Wireless Networks
- Multimedia Networks
- Performance Evaluation
- Network Security
- Distributed Protocol Design and Analysis
Additional Information
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Professional Affiliations
- IEEE
- ACM
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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.
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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
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Research Experience
- Amazon Scholar, 2020-2022
- Visiting faculty, Microsoft Research, Beijing, 2006
- Visiting faculty, IBM T. J. Watson Research Center, 2004-2006
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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
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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)
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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
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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.