World's Best Scientists 2026 revealed!
Dina Katabi

Dina Katabi

D-Index & Metrics

Computer Science

D-Index
95
Citations
41374
World Ranking
460
National Ranking
253

Electronics and Electrical Engineering

D-Index
93
Citations
39922
World Ranking
258
National Ranking
129

Research.com Recognitions

  • 2017 - ACM Prize in Computing For creative contributions to wireless networking.
  • 2017 - Member of the National Academy of Engineering For contributions to network congestion control and to wireless communications.
  • 2013 - Fellow of the MacArthur Foundation
  • 2013 - ACM Fellow For contributions in cross-layer wireless networking, wireless network coding, and Internet congestion control.
  • 2012 - ACM Grace Murray Hopper Award For her seminal contributions to the theory and practice of network congestion control and bandwidth allocation.
  • 2006 - Fellow of Alfred P. Sloan Foundation

Overview

Dina Katabi is affiliated with the Massachusetts Institute of Technology (MIT) in the United States. Their research spans multiple fields including computer science and medicine, with a strong focus on interdisciplinary applications bridging technology and healthcare.

Their research contributions cover main areas such as:

  • Computer Science
  • Medicine

Within these domains, subfields of study include:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Neurology
  • Biomedical Engineering
  • Electrical and Electronic Engineering

Main topics of work emphasize:

  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Advanced Image and Video Retrieval Techniques
  • Parkinson's Disease Mechanisms and Treatments
  • Indoor and Outdoor Localization Technologies
  • Human Pose and Action Recognition
  • COVID-19 diagnosis using AI

Notable recent publications include:

  • "Artificial intelligence-enabled detection and assessment of Parkinson's disease using nocturnal breathing signals," 2022, published in Nature Medicine
  • "Targeted Supervised Contrastive Learning for Long-Tailed Recognition," 2022, published at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Delving into Deep Imbalanced Regression," 2021, published on arXiv (Cornell University)
  • "The limits of fair medical imaging AI in real-world generalization," 2024, published in Nature Medicine
  • "BodyCompass," 2020, published in Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies

Dina Katabi has collaborated frequently with the following coauthors:

  • Yuzhe Yang
  • Lijie Fan
  • Tianhong Li
  • Yuan Yuan
  • Zachary Kabelac

Their work has appeared most frequently in these venues:

  • arXiv (Cornell University)
  • Nature Medicine
  • American Journal of Geriatric Psychiatry
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies

Dina Katabi has received several awards including:

  • Member of the National Academy of Engineering (2017) for contributions to network congestion control and wireless communications
  • ACM Prize in Computing (2017) for creative contributions to wireless networking
  • ACM Fellow (2013) for work in cross-layer wireless networking, wireless network coding, and Internet congestion control
  • Fellow of the MacArthur Foundation (2013)
  • ACM Grace Murray Hopper Award (2012) for seminal contributions to network congestion control and bandwidth allocation
  • Fellow of Alfred P. Sloan Foundation (2006)

Best Publications

  • XORs in the air: practical wireless network coding

    Sachin Katti;Hariharan Rahul;Wenjun Hu;Dina Katabi

  • Congestion control for high bandwidth-delay product networks

    Dina Katabi;Mark Handley;Charlie Rohrs

  • Embracing wireless interference: analog network coding

    Sachin Katti;Shyamnath Gollakota;Dina Katabi

  • Trading structure for randomness in wireless opportunistic routing

    Szymon Chachulski;Michael Jennings;Sachin Katti;Dina Katabi

  • A measurement study of available bandwidth estimation tools

    Jacob Strauss;Dina Katabi;Frans Kaashoek

  • See through walls with WiFi

    Fadel Adib;Dina Katabi

  • Smart Homes that Monitor Breathing and Heart Rate

    Fadel Adib;Hongzi Mao;Zachary Kabelac;Dina Katabi

  • Decimeter-level localization with a single WiFi access point

    Deepak Vasisht;Swarun Kumar;Dina Katabi

  • Zigzag decoding: combating hidden terminals in wireless networks

    Shyamnath Gollakota;Dina Katabi

  • 3D tracking via body radio reflections

    Fadel Adib;Zachary Kabelac;Dina Katabi;Robert C. Miller

  • Resilient network coding in the presence of Byzantine adversaries

    S. Jaggi;M. Langberg;S. Katti;T. Ho

  • Through-Wall Human Pose Estimation Using Radio Signals

    Mingmin Zhao;Tianhong Li;Mohammad Abu Alsheikh;Yonglong Tian

  • Dude, where's my card?: RFID positioning that works with multipath and non-line of sight

    Jue Wang;Dina Katabi

  • The Importance of Being Opportunistic: Practical Network Coding for Wireless Environments

    Sachin Katti;Dina Katabi;Wenjun Hu Hariharan;Rahul Muriel Médard

  • Walking the tightrope: responsive yet stable traffic engineering

    Srikanth Kandula;Dina Katabi;Bruce Davie;Anna Charny

  • Emotion recognition using wireless signals

    Mingmin Zhao;Fadel Adib;Dina Katabi

  • Botz-4-sale: surviving organized DDoS attacks that mimic flash crowds

    Srikanth Kandula;Dina Katabi;Matthias Jacob;Arthur Berger

  • Dynamic load balancing without packet reordering

    Srikanth Kandula;Dina Katabi;Shantanu Sinha;Arthur Berger

  • On Practical Network Coding for Wireless Environments

    D. Katabi;S. Katti;Wenjun Hu;H. Rahul

  • They can hear your heartbeats: non-invasive security for implantable medical devices

    Shyamnath Gollakota;Haitham Hassanieh;Benjamin Ransford;Dina Katabi

Frequent Co-Authors

Swarun Kumar
Swarun Kumar Carnegie Mellon University
Sachin Katti
Sachin Katti Stanford University
Shyamnath Gollakota
Shyamnath Gollakota University of Washington
Srikanth Kandula
Srikanth Kandula Microsoft (United States)
Jon Crowcroft
Jon Crowcroft University of Cambridge

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