Computer Science

Research Areas

  • Graphics and User Interfaces
  • Artificial Intelligence (AI) and Machine Learning (ML)
  • Human-Computer Interaction (HCI)
  • Vision and Robotics
  • Accessibility Technology
  • Augmented Reality (AR) & Virtual Reality (VR)
  • Visualization
  • Wireless, Embedded & Sensor Systems  

Additional information

  • Professional Experience
    • Associate Professor of Computer Science, Columbia University, 2025-
    • Assistant Professor of Computer Science, Columbia University, 2019-2025
    • Research Scientist, Snap Inc., 2018-2022
    • Software Engineering Intern, PhD, Google Research, 2014
    • Software Engineering Intern, PhD, Google Inc., 2012
    • Game Design and Development Intern, Funtank, LLC, 2010
    • Sophomore Summer Analyst, Bank of America Securities, 2007
       
  • Professional Affiliations
    • Affiliate Member, Data, Media, and Society Center, Data Science Institute;
    • Affiliate Member, Smart Cities Center, Data Science Institute;
    • Member, Association for Computing Machinery (ACM)
  • Honors & Awards
    • Best Academic Research, Game Accessibility Conference, 2024
    • NSF CAREER Award, National Science Foundation, 2024
    • Janette and Armen Avanessians Diversity Award, Columbia Engineering, 2023
    • Google Award for Inclusion Research (AIR), Google, Inc., 2022
    • Distinguished Faculty Teaching Award, Columbia Engineering Alumni Association (CEAA), 2021
    • Kavli Fellow, National Academy of Sciences, 2019
    • “From Data to Solutions” Integrative Graduate Education & Research Traineeship (IGERT), National Science Foundation, 2015
    • National Defense Science and Engineering Graduate (NDSEG) Fellowship, U.S. Dept. of Defense, 2011
    • Center for Technology, Innovation, & Community Engagement Fellowship, Columbia Engineering, 2009
    • Costantino Colombo Outstanding Leadership Service Award, Columbia Engineering, 2009
  • Education
    • PhD, Computer Science, Columbia University
    • MPhil, Computer Science, Columbia University
    • MS, Computer Science, Columbia University
    • BS, Computer Science, Columbia University

Research Areas

  • Security and privacy
  • Artificial Intelligence (AI) and Machine Learning (ML)
  • Data privacy
  • Cybersecurity
  • Quantum computing

Additional Information

  • Professional Experience
    • Professor of Computer Science, Columbia University, 1997-
    • Chair of Computer Science, Columbia University, 1986-1987
    • Tenured Associate Professor of Computer Science, Columbia University, 1987-1997
    • Associate Professor of Computer Science, Columbia University, 1984-1987
    • Assistant Professor of Computer Science, Columbia University, 1979–1984
  • Professional Affiliations
    • IEEE
    • ACM
  • Honors & Awards
    • Popular Science Award of “What Best of what’s new”, 2016.
    • IBM Faculty Career Development Award
    • Numerous best paper awards and IEEE Security & Privacy “most influential” paper.
    • IEEE and ACM Fellow.

Research Areas

  • Graphics and User Interfaces
  • Natural Language Processing and Speech
  • Artificial Intelligence (AI) and Machine Learning (ML)
  • Human-Computer Interaction (HCI)
  • Artificial Intelligence
  • Design Automation
  • Generative AI & Large Language Models (LLMs)
  • Human-Computer Interaction (HCI)

Additional Information

  • Education
    • PhD, Computer Science, University of Washington
    • MEng, Electrical Engineering and Computer Science, MIT
    • BS, Electrical Engineering and Computer Science, MIT
    • BS, Economics, MIT

Research Areas

  • Economics & Computation
  • Game Theory

Additional Information

  • Professional Experience
    • Associate professor, Computer Science, Columbia University, 2015 – now
    • Assistant professor, Computer Science, Columbia University, 2011 – 2015
  • Honors & Awards
    • SIAM Outstanding Paper Award, 2016
    • EATCS Presburger Award, 2015
    • Alfred P. Sloan Research Fellowship, 2012
    • NSF CAREER Award, 2012

Research Areas

  • Economics & Computation
  • Game Theory
  • Algorithms
  • Theoretical Computer Science

Additional Information

  • Professional Experience
    • Percy K. and Vida L. W. Hudson Professor of Computer Science, Columbia University, 2004-
    • Professor of Computer Science, Stanford University, 2002–2003
    • Head, Computing Principles Research Department, Avaya Laboratories, 2001-2002
    • Head, Computing Principles Research Department, Bell Laboratories, 1991-2001
    • Member of Technical Staff, Computing Science Research Center, Bell Laboratories, 1978-1991
  • Professional Affiliations
    • Association for Computing Machinery (ACM)
  • Honors & Awards
    • John von Neumann Theory Prize, INFORMS, 2023
    • Member, American Academy of Arts and Sciences, 2020
    • EATCS Award, 2020
    • Member, National Academy of Sciences, 2018
    • Member, Academia Europaea, 2013
    • Member, National Academy of Engineering, 2011
    • Knuth Prize, 2005
    • Fellow, Association for Computing Machinery (ACM), 1998
    • Fellow, Bell Laboratories, 1997
  • Education
    • PhD, Computer Science, Princeton University
    • MS, Computer Science, Princeton University
    • BS, Electrical Engineering, National Technical University of Athens

Research Areas

  • Computational Biology
  • Artificial Intelligence (AI) and Machine Learning (ML)
  • Computational Biology

Additional information

  • Professional Experience
    • Associate Professor, Computer Science, Columbia University, 2024 -
    • Assistant Professor, Computer Science, Columbia University, 2019 - 2024
    • Core Faculty Member, New York Genome Center, 2019 -
    • Interdisciplinary Appointee, Systems Biology, Columbia University, 2019 -
    • Affiliate Member, Data Science Institute, Columbia University, 2019 -
  • Education
    • PhD, Information Engineering, University of Cambridge
    • MSc, Bioinformatics and Systems Biology, Imperial College London
    • BA & MEng, Information Engineering, University of Cambridge

Research Areas

  • Computational Biology
  • Artificial Intelligence (AI) and Machine Learning (ML)
  • Applied and Theoretical Machine Learning
  • Artificial Intelligence
  • Computational Neuroscience
  • Economics & Computation
  • Game Theory
  • Generative AI & Large Language Models (LLMs)
  • Natural Language and Conversational AIs
  • Theoretical Computer Science
  • Algorithms
  • Complexity

Additional information

  • Professional Experience
    • The Donovan Family Professor of Computer Science, 2017 –
    • UC Berkeley,  1996-2017, where he was the C. Lester Hogan Professor of Electrical Engineering and Computer Science
    • Professor, National Technical University of Athens, 1981-1988
    • Papadimitriou has also taught at Harvard, MIT, Athens Polytechnic, Stanford, and UC, San Diego
  • Professional Affiliations
    • Fellow, National Academy of Engineering (2002)
    • Fellow, Association for Computer Machinery (2001)
    • Elected to American Academy of Arts and Sciences (2001)
  • Honors & Awards
    • IEEE John von Neumann Medal, 2016
    • EATCS Award, 2015
    • Gödel Prize, 2012, along with Elias Koutsoupias
    • Elected to US National Academy of Sciences, 2009
    • IEEE Computer Society Charles Babbage Award, 2004
    • Knuth Prize, 2002
    • John von Neumann Theory prize, 2024 (shared with Mihalis Yannakakis)

Research Areas

  • Human-Computer Interaction (HCI)
  • Augmented Reality (AR) & Virtual Reality (VR)
  • Internet of Things (IoT) and Industry 4.0
  • Networked and Distributed Systems
  • Robotics and Autonomous Systems
  • Wireless, Embedded & Sensor Systems
  • Sensor Systems
  • Mobile Health

Additional Information

  • Education
    • PhD, Computer Science, University of California, Santa Barbara
    • MS, Computer Science, Peking University
    • MS, Computer Science, Wuhan University
  • Professional Experience
    • Associate Professor of Computer Science, Columbia University, 2022-
    • Associate Professor of Computer Science, Dartmouth College, 2018 - 2022
    • Assistant Professor of Computer Science, Dartmouth College, 2013 - 2018
  • Honors & Awards
    • UBICOMP 10-Year Impact Award, UBICOMP, 2024
    • Presidential Early Career Award for Scientists and Engineers, 2019
    • ACM SIGMOBILE Rockstar Award, ACM SIGMOBILE, 2019
    • N2Women: Rising Stars in Networking and Communication, N2Women, 2017
    • Alfred P. Sloan Research Fellowship, 2017
    • NSF CAREER Award, 2016
    • Google Faculty Research Award, 2014

Research Areas

  • Security and Privacy
  • Data Management
  • Software Systems
  • Computer Architecture and Engineering
  • Networks and Distributed Systems
  • Cloud Computing
  • Data Privacy
  • Operating Systems
  • Scalable Data Systems
  • Cybersecurity
  • Sustainable Computing (Green Computing)
  • Hardware Accelerators
  • Networking

Additional information

  • Professional Experience
    • Associate Professor of Electrical Engineering, Columbia University, 2023-
    • Assistant Professor of Electrical Engineering, Columbia University, 2019-2023
    • Senior Vice President of Email Protection, Barracuda Networks, 2016-2019
    • CEO and co-founder, Sookasa (Acquired by Barracuda Networks), 2012-2016
  • Honors & Awards
    • ACM CIDR Best Paper Award, 2024
    • Usenix OSDI Jay Lepreau Best Paper Award, 2022
    • NSF CAREER Award, 2022
    • Army Research Office Young Investigator Award, 2021
    • Usenix Security Distinguished Paper, 2019
    • ACM EuroSys Best Poster Award, 2018
    • SC Rising Star Award, 2017
    • Usenix ATC Best Student Paper, 2013
    • Sohnis Promising Scientist Award, 2011
    • Finalist, Qualcomm Innovation Fellowship, 2011
    • Leonard J. Shustek Stanford Graduate Fellowship, 2010
    • Technion President's Honors List, 2009-2010
  • Education
    • PhD, Electrical Engineering, Stanford University
    • MS, Electrical Engineering, Stanford University
    • BS, Computer and Software Engineering, Technion - Israel Institute of Technology

Research Areas

  • Artificial Intelligence (AI) and Machine Learning (ML)
  • Vision and Robotics
  • Computational Neuroscience
  • Natural Language and Conversational AIs

Additional information

  • Professional Experience
    • Professor, Columbia University, Computer Science, 2021-
    • Amazon Scholar, 2021-
    • Research Director, Vector Institute for Artificial Intelligene, 2018-2021
    • Professor, University of Toronto, Computer Science, 2009-2021
    • Associate Professor, University of Toronto, Computer Science, 2001-2009
    • Assistant Professor, University of Toronto, Computer Science, 2000-2001
    • Assistant Professor, University of Arizona, Psychology & Computer Science, 1996-2000
  • Professional Affiliations
    • Advisory Board, Neural Information Processing Society (NeurIPS)
    • Steering Committee, ACM Fairness, Accountability and Transparency (FaCCT) Conference
  • Honors & Awards
    • Lifetime Achievement Award, Canadian AI Association, 2023
    • Test of Time Award, ICML, 2023
    • AI Chair, Canadian Institute for Advanced Research (2020)
    • Pioneers of AI, NVIDIA (2016)
  • Education
    • PhD, Computer Science, University of Toronto
    • MS, Computer Science, University of Toronto
    • BA, History and Science, Harvard University

Research Areas

  • Security and Privacy
  • Software Systems
  • Networks and Distributed Systems
  • Artificial Intelligence (AI) and Machine Learning (ML)
  • Networked and Distributed Systems
  • Operating Systems
  • Programming Languages
  • Trustworthy Computing
  • Cybersecurity

Additional Information

  • Professional Experience
    • Professor of Computer Science, Columbia University, 2021–
    • Associate Professor of Computer Science, Columbia University, 2013–2021
    • EMC-Endowed Chair Professor Group (Adjunct), Tsinghua University, 2013–2016
    • Assistant Professor of Computer Science, Columbia University, 2008–2013
    • Technical Consultant, Microsoft Research Silicon Valley, 2008-2012
  • Professional Affiliations
    • Association for Computing Machinery (ACM)
    • Advanced Computing Systems Association (USENIX)
    • Institute of Electrical and Electronic Engineers (IEEE)
  • Honors & Awards
    • SEAS-KFAI Generative AI and Public Discourse Research Award, 2024
    • Best Paper Award of the Conference on Innovative Data Systems Research (CIDR), 2024
    • Google Cyber NYC Faculty Research Award (three awards), 2023
    • Best Paper Award of the Sixteenth USENIX Symposium on Operating Systems Design and Implementation (OSDI), 2022
    • Columbia Center of Artificial Intelligence Technology (CAIT) Award (with Amazon), 2022
    • Best Paper Award of the USENIX Annual Technical Conference, 2021
    • IEEE Young Experts in Services Computing (YESC) Student Paper Award, 2020
    • Facebook Faculty Research Award, 2020
    • CACM Research Highlight, 2019
    • Rock Star Award, Association of Chinese Scholars in Computing, 2019
    • J.P. Morgan Faculty Research Award, 2019
    • DiDi Faculty Research Award, 2019
    • Cybersecurity Awareness Worldwide Applied Research US-Canada Competition, 2nd place for DeepXplore, 2018
    • Best Paper Award of the 26th ACM Symposium on Operating Systems Principles (SOSP), 2017
    • Google Faculty Research Award, 2014
    • Sloan Research Fellowship, 2012
    • Air Force Office of Scientific Research Young Investigator Research Program (AFSOR YIP) Award, 2012
    • National Science Foundation Faculty Early Career (NSF CAREER) Award, 2011
    • Best Paper Award of the Sixth USENIX Symposium on Operating Systems Design and Implementation (OSDI), 2004
  • Education
    • PhD, Computer Science, Stanford University
    • MS, Computer Science, Stanford University
    • BS, Computer Science, Tsinghua University

Research Areas

  • Security and Privacy
  • Networks and Distributed Systems
  • Cloud Computing
  • Data Privacy
  • Edge Computing
  • Internet of Things (IoT) and Industry 4.0
  • Networked and Distributed Systems
  • Wireless, Embedded & Sensor Systems
  • Cybersecurity
  • Sustainable Computing (Green Computing)
  • Communications
  • Networking
  • Smart Electric Energy (Smart Grids)
  • Electric Vehicles
  • Public Policy
  • Multimedia Systems

Additional information

  • Professional Experience
    • Broadband Advisor, National Telecommunications and Information Administration (NTIA), 2022-
    • Technology Fellow, Senator R. Wyden, 2019-2020
    • Chief Technology Officer, Federal Communications Commission (FCC), January 2017– 2019
    • Senior Advisor for Technology, Federal Communications Commission (FCC), September 2016–December 2016.
    • Technology Advisor, Federal Communications Commission (FCC), September 2014–August 2016.
    • Chief Technology Officer, Federal Communications Commission (FCC), January 2012– August 2014.
    • Engineering Fellow, Federal Communications Commission (FCC), Sept. 2010–May 2011.
    • Professor (tenured), Dept. of Computer Science and Dept. of Electrical Engineering (joint appointment), Columbia University. August 1996–.
    • Department Vice Chair, 2002– 2003;
    • Department Chair, 2004–2009.
    • Researcher & Deputy Department Head, GMD Fokus (now Fraunhofer), Berlin, Germany. March 1994 - July 1996.
    • Lecturer at Technical University Berlin. Consultant, 1994-1996
    • Teaching Assistant, Dept. of Computer Science, University of Massachusetts, January 1992 – June 1992.
    • Research Assistant, Dept. of Computer Science, University of Massachusetts, July 1988 – September 1992.
    • Research Assistant, Dept. of Electrical and Computer Engineering, University of Massachusetts at Amherst, January 1988 – July 1988.
    • Teaching Assistant, Dept. of Electrical and Computer Engineering, University of Massachusetts at Amherst, September 1987 – July 1988.
  • Professional Affiliations
    • IEEE
    • Association for Computing Machinery (ACM)
  • Honors & Awards
    • ACM SIGCOMM Award for Lifetime Contributions, 2022
    • Honorary Doctorate, University of Oulu, Finland (June 2022)
    • IEEE CQR (Communication Quality and Reliability) Chairman’s Award 2019
    • IEEE Infocom 2018 Test of Time Paper Award for “An Analysis of the Skype Peer-to- Peer Internet Telephony Protocol” (with Salman Baset)
    • IEEE Internet award, 2016
    • ACM Fellow, 2015
    • WCNC 2015, “Intelligent Content Delivery over Wireless via SDN”, best paper award.
    • IEEE Communications Society Internet Technical Committee Distinguished Service Award, 2014
    • Internet Hall of Fame, 2013
    • GREE 2013 best paper award (“Wimax in the classroom: Designing a cellular networking hands-on lab”)
    • 2011 Internet2 IDEA Award winner for ”Do You See What I See” tool (Kyung Hwa Kim, PhD Student)
    • Region 1 William Terry Award for Lifetime Distinguished Service to IEEE Region 1 (2010)
    • IPTComm 2010 best paper award (“Reliability and Relay Selection in Peer-to-Peer Communication Systems”)
    • IMSAA-08 3rd best paper award for A New SIP Event Package For Group Membership Management in Advanced Communications
    • VDE ITG Preis 2008 for Ubiquitous Device Personalization and Use: The Next Generation of IP Multimedia Communications
    • CATT lifetime innovation award (Brooklyn Polytech University) (2007)
    • Sputnik Innovator Award (2005)
    • IEEE Fellow (2005)
    • IEEE ComSoc Technical Committee on Computer Communications (TCCC) Outstanding Service Award 2005
    • Internet Telephony 2004 Product of the Year
    • Mayor’s Award for Excellence in Science and Technology (2004)
    • VON Pioneer Award, 2000
    • IEEE Communication Society Lecturer, 1997
    • Nominated for ACM Best Dissertation award
    • University of Massachusetts Graduate School Fellowship, 1990-1991
    • University Summer Research Fellowship, 1987
    • University Summer Research Fellowship, 1985
    • German Fulbright Scholarship, 1984
    • President Electrical Engineering Graduate Student Association, 1985-1986.
    • Graduate Outstanding Service award, 1986
    • German National Scholarship Foundation (“Studienstiftung des deutschen Volkes”)
    • Regional finalist German Young Scientists Competition (Jugend forscht)
  • Education
    • PhD, Electrical Engineering, University of Massachusetts, Amherst
    • MS, Electrical Engineering, University of Cincinnati
    • BS, Electrical Engineering and Economics, TU Darmstadt (Germany)