Ritwik Gupta
SEI Emerging Technology Center
Ritwik Gupta is a machine learning research scientist at the Carnegie Mellon University Software Engineering Institute’s Emerging Technology Center. His research focuses on the intersection of machine learning and health, with many forays into the areas of robotics, adversarial learning, and computational linguistics. He is passionate about educating people about machine learning and the many cool and unique ways it can be applied to unorthodox problem domains.
Publications by Ritwik Gupta
-
Human–Machine Teaming and AI
January 29, 2020 • Video
Carol J SmithAndrew O. MellingerRitwik Gupta
In this Cyber Talk, SEI researchers Carol Smith, Andrew Mellinger, and Ritwik Gupta discuss the exciting challenges and opportunities for human–machine teaming and artificial intelligence.
watch -
AI in Humanitarian Assistance and Disaster Response
September 18, 2019 • Podcast
Ritwik Gupta
Ritwik Gupta, a machine learning research scientist in the SEI’s Emerging Technology Center, discusses the use of AI in humanitarian assistance and disaster response (HADR) efforts.
learn more -
Efficient NetFlow Partitioning via Minimum Cuts
July 01, 2019 • Video
Ritwik Gupta
Ritwik Gupta and Anusha Sinha discuss SEI work on NetFlow that aims to distinguish human-generated flows from machine-generated flows to identify human actors on networks and potential network threats more easily.
watch -
Cyber Intelligence Tradecraft Report: The State of Cyber Intelligence Practices in the United States (Study Report and Implementation Guides)
May 21, 2019 • Collection
Jared EttingerApril GalyardtRitwik Gupta
This report details the findings of a study the SEI conducted at the request of the United States Office of the Director of National Intelligence. In the report, we present current best practices and common challenges in cyber intelligence.
view -
What’s It Like to Intern at the SEI?
April 09, 2019 • Video
Ritwik Gupta
In this SEI Cyber Talk, Emerging Technology Center interns Dominick Gurnari and Sandra Sajeev discuss what it’s like to intern at the SEI, a DoD federally funded research and development center.
watch -
Learning by Observing via Inverse Reinforcement Learning
March 22, 2019 • Video
Ritwik GuptaEric Heim
This SEI Cyber Talk episode explains how inverse reinforcement learning can be effective for teaching agents to perform complex tasks with many states and actions.
watch -
Deep Learning in Depth: The Future of Deep Learning
November 27, 2018 • Podcast
Ritwik GuptaCarson Sestili
Ritwik Gupta and Carson Sestili discuss the future of deep learning.
learn more -
Deep Learning in Depth: Adversarial Machine Learning
November 27, 2018 • Podcast
Ritwik GuptaCarson Sestili
Ritwik Gupta of the SEI’s Emerging Technology Center and Carson Sestili, formerly of the SEI’s CERT Division and now with Google, discuss adversarial machine learning.
learn more -
Deep Learning in Depth: The Importance of Diverse Perspectives
November 08, 2018 • Podcast
Ritwik GuptaCarson Sestili
Ritwik Gupta of the SEI’s Emerging Technology Center and Carson Sestili, formerly of the SEI’s CERT Division and now with Google, discuss the importance of diverse perspectives in deep learning.
learn more -
You Can Prove It With Less: Data Science Tasks Using Challenge-Based Acquisition
October 24, 2018 • Presentation
Ritwik Gupta
Information on a use of data science
read -
Deep Learning in Depth: IARPA's Functional Map of the World Challenge
October 11, 2018 • Podcast
Ritwik GuptaCarson Sestili
Ritwik Gupta and Carson Sestili describe their use of deep learning in IARPA’s Functional Map of the World Challenge.
learn more -
Deep Learning in Depth: Deep Learning versus Machine Learning
October 04, 2018 • Podcast
Ritwik GuptaCarson Sestili
In this podcast excerpt, Ritwik Gupta and Carson Sestili describe deep learning and how it differs from machine learning.
learn more -
Deep Learning in Depth: The Good, the Bad, and the Future
June 07, 2018 • Podcast
Ritwik GuptaCarson Sestili
Ritwik Gupta and Carson Sestili describe deep learning, a popular and quickly growing subfield of machine learning.
learn more