Artificial Intelligence
Research Areas
Computer Vision
- Serge Belongie Computer Science Field Member, Cornell CIS
- Noah Snavely Computer Science Field Member, Cornell CIS
- Ramin Zabih Computer Science Field Member, Cornell CIS
Machine Learning
- Yoav Artzi Computer Science Field Member, Cornell CIS
- Serge Belongie Computer Science Field Member, Cornell CIS
- Nathan Kallus Operations Research and Information Engineering Field Member, Cornell Engineering and Computer Science Field Member, Cornell CIS
- Volodymyr Kuleshov Computer Science Field Member, Cornell CIS
- Daniel Lee Electrical and Computer Engineering Field Member, Cornell Engineering and Computer Science Field Member, Cornell CIS
- Alexander Rush Computer Science Field Member, Cornell CIS
- Noah Snavely Computer Science Field Member, Cornell CIS
- Ramin Zabih Computer Science Field Member, Cornell CIS
Natural Language Processing
- Yoav Artzi Computer Science Field Member, Cornell CIS
- Alexander Rush Computer Science Field Member, Cornell CIS
Robotics
- Yoav Artzi Computer Science Field Member, Cornell CIS
- Wendy Ju Information Science and Computer Science Field Member, Cornell CIS
- Daniel Lee Electrical and Computer Engineering Field Member, Cornell Engineering and Computer Science Field Member, Cornell CIS
Game & Decision Theory
- Rafael Pass Computer Science Field Member, Cornell CIS
AI & Immersive Health
- Shiri Azenkot Information Science and Computer Science Field Member, Cornell CIS
- Serge Belongie Computer Science Field Member, Cornell CIS
- Tanzeem Choudhury Information Science and Computer Science Field Member, Cornell CIS
- Deborah Estrin Computer Science and Information Field Member, Cornell CIS
- Rajalakshmi Nandakumar Information Science and Computer Science Field Member, Cornell CIS
Labs & Initiatives
Faculty
Yoav Artzi
Associate Professor
Yoav Artzi is an Associate Professor at Cornell Tech and in the Computer Science Department at Cornell University.
Areas of Research:
Language modeling
Machine learning
Natural language processing
Academic Degrees:
Ph.D., University of Washington, 2015
B.S., Tel Aviv University, 2008
Research Labs and Initiatives:
The Cornell Language, Interaction, and Learning (LIL) Lab
Shiri Azenkot
Associate Professor
Areas of Research:
Human-computer interaction
Accessibility
Academic Degrees:
Ph.D., University of Washington, 2014
B.A., Pomona College, 2005
Website: https://shiriazenkot.wixsite.com/shiri-azenkot
Research Labs and Initiatives:
XR Access Research Initiative
Enhancing Ability Lab
Serge Belongie
Visiting Professor
Serge Belongie is a Visiting Professor at Cornell Tech and in the Computer Science Department at Cornell University.
Research focus: Computer Vision, Machine Learning, Crowdsourcing and Human-in-the-Loop Computing
Tanzeem Choudhury
Roger and Joelle Burnell Professor in Integrated Health and Technology
Areas of Research:
Health AI
Wearables and ubiquitous computing
Digital mental health
Academic degrees:
Ph.D., Massachusetts Institute of Technology
M.S., Massachusetts Institute of Technology
B.S., University of Rochester
Website: https://pac.cs.cornell.edu/
Social Media: @PAC_Cornell
Research Labs and Initiatives:
People-Aware Computing Group
Precision Behavioral Health Initiative
Deborah Estrin
Associate Dean for Impact and Robert V. Tishman ’37 Professor
Deborah Estrin is the Robert V. Tishman ’37 Professor at Cornell Tech and in the Computer Science Department at Cornell University, and currently serves as an Associate Dean at Cornell Tech.
Areas of Research:
Digital health
Public interest tech
Academic Degrees:
Ph.D., Massachusetts Institute of Technology, 1985
Research Labs and Initiatives:
Public Interest Technology Initiative (PiTech)
NYP-Cornell Cardio-AI Initiative
XR Collaboratory
Digital Life Initiative
Wendy Ju
Associate Professor
Wendy Ju is an associate professor of information science at Cornell Tech, the Cornell Ann S. Bowers College of Computing and Information Science, the Jacobs Technion-Cornell Institute, and the Technion-Israel Institute of Technology.
Areas of Research:
Human-robot interaction
Interaction with automation
Interaction design research
Automotive interaction design
Academic Degrees:
Ph.D., Stanford University, 2008
M.S., Massachusetts Institute of Technology, 2001
B.S., Stanford University, 1997
Research Labs and Initiatives:
Car Simulator Lab
Volodymyr Kuleshov
Joan Eliasoph, M.D. Assistant Professor
Volodymyr Kuleshov is an Assistant Professor at the Jacobs Technion-Cornell Institute at Cornell Tech where he holds the Joan Eliasoph, MD Chair, and in the Computer Science Department at Cornell University.
Areas of Research:
Machine learning
Generative models
Artificial intelligence for science
Academic Degrees:
Ph.D., Stanford University, 2017
B.S., McGill University, 2011
Daniel D. Lee
Tisch University Professor
Daniel Dongyuel Lee is a Professor at Cornell Tech and in the Electrical and Computer Engineering Department at Cornell University.
Areas of Research:
Artificial Intelligence and Robotics
Academic Degrees:
Ph.D., Massachusetts Institute of Technology, 1995
Rajalakshmi Nandakumar
Assistant Professor
Areas of Research:
Wireless networking
Mobile systems
Mobile health
Academic Degrees:
Ph.D., University of Washington, 2020
B.Tech., College of Engineering Guindy, India, 2011
Alexander “Sasha” Rush
Associate Professor
Alexander “Sasha” Rush is an Associate Professor at Cornell Tech, where he studies natural language processing and machine learning.
Areas of Research:
Natural language processing
Language modeling
Academic Degrees:
Ph.D., Massachusetts Institute of Technology, 2014
B.A., Harvard University, 2007
Research Labs and Initiatives:
Natural Language Processing Group
Noah Snavely
Professor
Noah Snavely is a Professor at Cornell Tech and in the Computer Science Department at Cornell University.
Areas of Research:
Computer vision
Computer graphics
Academic Degrees:
Ph.D., University of Washington, 2008
B.S., University of Arizona, 2003
Ramin Zabih
Professor
Areas of Research:
Computer vision
Academic Degrees:
Ph.D., Stanford University
B.S.’s, Massachusetts Institute of Technology
Research Labs and Initiatives: N/A
Research Highlight: Daniel Lee on Machine Learning, AI, and Robotics
Daniel Lee, Professor of Electrical and Computer Engineering, focuses his research on machines learning directly from experience. Here, he discusses how building intelligent machines can help us to perform tasks that are dull, dirty, and dangerous.
Built at Cornell Tech
iNaturalist Species Suggestions
One of the world’s most popular nature apps, iNaturalist helps people around the world identify the plants and animals around them. Cornell Tech Professor Serge Belongie helped assemble and experiment on the app’s species classification and detection dataset using state-of-the-art computer vision classification and detection models.
Merlin Bird Photo ID
Merlin Bird Photo ID is a mobile app that uses machine learning and computer vision to identify more than 3,000 bird species it “sees” in photos. The app was developed by Caltech and Cornell Tech computer vision researchers in partnership with the Cornell Lab of Ornithology and bird enthusiasts and is available on Android and iOS devices.
OpenRec
OpenRec is an open-source and modular library for deep-learning based recommendation algorithms. State of the art recommendation algorithms are increasingly complex and often address specific use cases. OpenRec provides a modular architecture to adapt, extend, and compare algorithms across heterogeneous scenarios.
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Institutional Partners
- AI Research Group at Cornell University
- Cornell NLP
- Cornell University Department of Computer Science
- Cornell University Department of Electrical and Computer Engineering
- Cornell University Department of Information Science
- Cornell University School of Operations Research and Information Engineering
- Jacobs Technion-Cornell Institute
- Technion – Israel Institute of Technology
- Weill Cornell Medicine
