Computer Science
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
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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
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Professional Affiliations
- Association for Computing Machinery (ACM)
- Advanced Computing Systems Association (USENIX)
- Institute of Electrical and Electronic Engineers (IEEE)
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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
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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
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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.
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Professional Affiliations
- IEEE
- Association for Computing Machinery (ACM)
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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)
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Education
- PhD, Electrical Engineering, University of Massachusetts, Amherst
- MS, Electrical Engineering, University of Cincinnati
- BS, Electrical Engineering and Economics, TU Darmstadt (Germany)
Why Earn your PhD in Computer Science at Columbia?
Columbia gives you a rigorous Ivy League education in the heart of a vibrant global city for unmatched opportunities and impact.
As a student, you’ll benefit from:
- New York City
Join top talent in one of the world’s most exciting and influential cities. Students choose Columbia Engineering over MIT, Berkeley, and others because of the New York City ecosystem of research and enterprise that can’t be found anywhere else.
- Broad Research Opportunities
Access opportunities across an incredible array of laboratories, centers, and groups including the Data Science Institute, Center of Artificial Intelligence Technology, and the Theory of Computing Group.
- World-Class Faculty
Faculty are accomplished scholars and passionate instructors engaged in cutting-edge, cross-disciplinary research in areas like augmented reality, high throughput genomics, natural language processing, and machine learning.
- Columbia University
With a PhD from Columbia, you’ll join one of the world’s most international, accomplished networks of researchers and alumni. Your Ivy League credential will open doors wherever you go and the relationships you build here will accelerate your career.
Why Get your Master's in Journalism and Computer Science at Columbia Engineering?
Columbia gives you a rigorous Ivy League education in the heart of a vibrant global city for an experience unlike any place else.
As a student here, you’ll benefit from:
- Unique Degree Program
Earn two master’s degrees in the time it usually takes for one. In one of the few dual-degree programs of its kind in the country, you’ll finish your studies with a full graduate education in both computer science and journalism.
- Credentials from Two Top Schools
Get expert preparation within two top-ranked programs. Both Columbia’s School of Engineering and Journalism School are among the best in the nation, meaning you’ll get an outstanding education and tap into the career opportunities that come with our institutional reputation and extensive alumni networks.
- World-Class Faculty
Learn from the best. The School of Engineering and Journalism School are home to some of the leading scholars and practitioners in their respective fields.
- Broad Career Options
Keep your options open. When you graduate with MS degrees in both computer science and journalism, you’ll be competitive for a wide array of jobs in both fields as well as in areas where they overlap, like the development of technologies for media production and distribution.
Why Get your Master's in Data Science at Columbia?
Columbia gives you a rigorous Ivy League education in the heart of a vibrant global city for an experience unlike any place else.
As a student here, you’ll benefit from:
- Data Science in Broader Context
Learn the latest techniques in data science within an institute dedicated to using them responsibly to benefit society. We pursue ground-breaking scholarship that applies technical expertise to pressing societal problems like improving healthcare outcomes, ensuring the accuracy of news, and leveraging technology for flourishing urban environments.
- Hands-on Experience
In your capstone course, you’ll work with a team on a project sponsored by a faculty member or industry affiliate in which you’ll synthesize your knowledge to solve a complex, real-world challenge. Recent projects have tackled analyzing informal speech, predicting insurance payments, accelerating drug discovery, and optimizing the placement of electric vehicle charging stations.
- An Emphasis on Entrepreneurship
Train within a community that encourages innovation and imagines ways to translate new ideas into marketable solutions. The School of Engineering has abundant resources to support student entrepreneurship and facilitates participation in an ecosystem that sees numerous new inventions and companies launched each year.
- Outstanding Placement
Columbia’s program in Data Science is one of the most highly-rated and respected in the world. Graduates are known for their technical knowledge, research skills, and innovative spirit. Our students benefit from close departmental connections with industry partners and consistently receive offers from top employers and graduate programs.
Why Get your Master's in Computer Science at Columbia Engineering?
Columbia gives you a rigorous Ivy League education in the heart of a vibrant global city for an experience unlike any place else.
As a student here, you’ll benefit from:
- Highly-Customizable Curriculum
Take advantage of 8 different tracks in specialized areas like machine learning and computer security to prepare for in-demand jobs. Or, create a personalized track to pursue a unique path of exploration.
- Broad Research Opportunities
Build your research skills and your résumé with opportunities across an incredible array of laboratories, centers, and groups including the Data Science Institute, Center of Artificial Intelligence Technology, and the Theory of Computing Group.
- World-Class Faculty
Join a department of accomplished scholars and passionate instructors engaged in cutting-edge, cross-disciplinary research in areas like augmented reality, high throughput genomics, natural language processing, and machine learning.
- Outstanding Placement
Graduates in Computer Science from Columbia are known for their technical knowledge, research skills, and creativity as problem solvers. Our students consistently receive offers from top employers and graduate programs.
Why Get your Master's in Computer Engineering at Columbia?
Columbia gives you a rigorous Ivy League education in the heart of a vibrant global city for an experience unlike any place else.
As a student here, you’ll benefit from:
- Two In-Demand Areas
Build skills and knowledge in both computer science and electrical engineering, giving you the flexibility to pursue a broad range of opportunities in growing industry sectors.
- Broad Research Opportunities
Contribute to pioneering research and build an impressive résumé with opportunities across an incredible array of laboratories and research centers including the Computer Architecture, Bioelectronic Systems, and Wireless and Mobile Networking labs.
- World-Class Faculty
Join a department of accomplished scholars and passionate instructors engaged in cutting-edge, cross-disciplinary research in areas like computer architecture, hardware security, networks, and distributed embedded systems.
- Outstanding Placement
Graduates in Computer Engineering from Columbia are known for their technical knowledge, research skills, and creativity as problem solvers. Our students receive offers from top employers and graduate programs.
Research Areas
- Computer Architecture and Engineering
- System-on-Chip
- Heterogeneous Computing
- Embedded Systems
- Open-Source Hardware
- Design Automation
Additional Information
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Professional Affiliations
- Association for Computing Machinery (ACM)
- Institute of Electrical and Electronics Engineers (IEEE)
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Honors & Awards
- Fellow, Institute of Electrical and Electronics Engineers (IEEE), 2017
- Office of Naval Research (ONR) Young Investigator Award, 2010
- Research Fellow, Alfred P. Sloan Foundation, 2008
- NSF Faculty Early Career Development (CAREER) Award, 2006
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Professional Experience
- Professor of Computer Science and Chair of Computer Science, Columbia University, 2021-
- Professor of Computer Science, Columbia University, 2017–2021
- Associate Professor of Computer Science, Columbia University, 2009–2017
- Assistant Professor of Computer Science, Columbia University, 2004–2008
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Education
- PhD, Electrical Engineering and Computer Sciences, University of California at Berkeley
- MS, Engineering, University of California at Berkeley
- BS, Electrical Engineering, Alma Mater Studiorum University of Bologna, Italy
Research Areas
- Graphics and User Interfaces
- Human-Computer Interaction (HCI)
- Augmented Reality (AR) & Virtual Reality (VR)
- Human-Computer Interaction (HCI)
Additional information
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Professional Experience
- Professor of Computer Science, Columbia University, 2000–present
- Associate Professor of Computer Science, Columbia University, 1991–1999
- Assistant Professor of Computer Science, Columbia University, 1985–1990
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Professional Affiliations
- Association for Computing Machinery (ACM)
- Institute of Electrical and Electronics Engineers (IEEE)
- IEEE Computer Society
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Honors & Awards
- Member, AWE XR Hall of Fame, 2024
- Impact Paper Award, IEEE ISMAR, 2022
- Member, Virtual Reality Academy, IEEE VGTC, 2022
- Impact Paper Award, IEEE ISMAR, 2019
- Fellow, ACM, 2018
- Fellow, IEEE 2018
- Lifetime Research Award, ACM SIGCHI, 2018
- Career Impact Award, IEEE ISMAR, 2017
- Early Innovator Award, ISWC, 2017
- Virtual Reality Career Award, IEEE VGTC, 2014
- Member, SIGCHI Academy, ACM SIGCHI, 2011
- Lasting Impact Award, ACM UIST, 2010
- Faculty Mentoring Award, Graduate Student Advisory Council, 2009
- Front Line Awards Hall of Fame, Game Developer,1998
- Young Investigator Award, Office of Naval Research, 1991
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Education
- PhD, Computer Science, Brown University
- AB, Music, Brown University
Research Areas
- 3D modeling
- View Planning for Automated Site Modeling
- Topological Localization
- Robotics
Additional Information
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Professional Experience
- Lecturer in Discipline, Computer Science Department, Columbia University, 2015 - present
- Director (part-time), Computing Research Facilities, Computer Science Department, Columbia University, 2015 - present
- Director, Computing Research Facilities, Computer Science Department, Columbia University, 2014 – 2015
- Adjunct Assistant Professor, Computer Science Department, Columbia University, 2008 – 2015
- Assistant Director, Computing Research Facilities, Computer Science Department, Columbia University, 2008 - 2014
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Professional Affiliations
- Computer Society and Robotics and Automation Society, Institute for Electrical and Electronic Engineers
- SIGCSE, Association for Computing Machinery
- USENIX