World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
77
Citations
18156
World Ranking
1303
National Ranking
688

Overview

Desney S. Tan is affiliated with Microsoft in the United States. Their research spans several fields including Computer Science, Medicine, and Engineering, with a particular focus on Artificial Intelligence, Control and Systems Engineering, and Computer Vision and Pattern Recognition.

The scientist's work explores a range of topics, notably Gaussian Processes and Bayesian Inference, Neural Networks and Applications, Machine Learning and Data Classification, Data Visualization and Analytics, and healthcare-related research such as Syphilis Diagnosis and Treatment, Reproductive Tract Infections research, and Healthcare Systems and Technology.

Desney S. Tan has contributed to multiple publications across various venues. Recent papers include:

  • Performance and Preferences: Interactive Refinement of Machine Learning Procedures, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • Learning to Learn: Algorithmic Inspirations from Human Problem Solving, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • 138EMF Emergency Department Syphilis Screening Practices Before and After the Implementation of an Electronic Health Record-Based Best-Practice Alert, 2020, Annals of Emergency Medicine
  • CAD-guided 6D pose estimation with deep learning in digital twin for industrial collaborative robot manipulation, 2025, EAI Endorsed Transactions on AI and Robotics
  • Development and Validation of a Nomogram for Predicting Postoperative Lower Extremity Deep Vein Thrombosis in Patients with Traumatic Spinal Fractures, 2025, bioRxiv (Cold Spring Harbor Laboratory)

The scientist has collaborated frequently with coauthors including Ashish Kapoor, Eric Horvitz, Bongshin Lee, and Joanna Ford.

Desney's publications have appeared most frequently in the Proceedings of the AAAI Conference on Artificial Intelligence, with additional contributions to Annals of Emergency Medicine, EAI Endorsed Transactions on AI and Robotics, and bioRxiv.

Best Publications

  • Skinput: appropriating the body as an input surface

    Chris Harrison;Desney Tan;Dan Morris

  • Brain-Computer Interfaces: Applying our Minds to Human-Computer Interaction

    Desney S. Tan;Anton Nijholt

  • Foveated 3D graphics

    Brian Guenter;Mark Finch;Steven Drucker;Desney Tan

  • SoundWave: using the doppler effect to sense gestures

    Sidhant Gupta;Daniel Morris;Shwetak Patel;Desney Tan

  • FingerIO: Using Active Sonar for Fine-Grained Finger Tracking

    Rajalakshmi Nandakumar;Vikram Iyer;Desney Tan;Shyamnath Gollakota

  • Brain-Computer Interfaces and Human-Computer Interaction

    Desney S. Tan;Anton Nijholt

  • Enabling always-available input with muscle-computer interfaces

    T. Scott Saponas;Desney S. Tan;Dan Morris;Ravin Balakrishnan

  • Real-time preview system and method for panoramic images

    Chris Pal;Matthew Uyttendaele;Eric Rudolph;Patrick Baudisch

  • Brain-Computer Interfacing for Intelligent Systems

    A. Nijholt;D. Tan

  • Exploring 3D navigation: combining speed-coupled flying with orbiting

    Desney S. Tan;George G. Robertson;Mary Czerwinski

  • Demonstrating the feasibility of using forearm electromyography for muscle-computer interfaces

    T Scott Saponas;Desney S. Tan;Dan Morris;Ravin Balakrishnan

  • The large-display user experience

    G. Robertson;M. Czerwinski;P. Baudisch;B. Meyers

  • EnsembleMatrix: interactive visualization to support machine learning with multiple classifiers

    Justin Talbot;Bongshin Lee;Ashish Kapoor;Desney S. Tan

  • Women take a wider view

    Mary Czerwinski;Desney S. Tan;George G. Robertson

  • Exploring the design space for adaptive graphical user interfaces

    Krzysztof Z. Gajos;Mary Czerwinski;Desney S. Tan;Daniel S. Weld

  • WinCuts: manipulating arbitrary window regions for more effective use of screen space

    Desney S. Tan;Brian Meyers;Mary Czerwinski

  • Feasibility and pragmatics of classifying working memory load with an electroencephalograph

    David Grimes;Desney S. Tan;Scott E. Hudson;Pradeep Shenoy

  • Physically large displays improve performance on spatial tasks

    Desney S. Tan;Darren Gergle;Peter Scupelli;Randy Pausch

  • With similar visual angles, larger displays improve spatial performance

    Desney S. Tan;Darren Gergle;Peter Scupelli;Randy Pausch

  • CueFlik: interactive concept learning in image search

    James Fogarty;Desney Tan;Ashish Kapoor;Simon Winder

Frequent Co-Authors

Dan Morris
Dan Morris Google (United States)
Mary Czerwinski
Mary Czerwinski Microsoft (United States)
George G. Robertson
George G. Robertson Microsoft (United States)
Eric Horvitz
Eric Horvitz Microsoft (United States)
Roderick A. Hyde
Roderick A. Hyde Lawrence Livermore National Laboratory
Clarence T. Tegreene
Clarence T. Tegreene Microsoft (United States)
Victoria Y. H. Wood
Victoria Y. H. Wood Microsoft (United States)
Jordin T. Kare
Jordin T. Kare Microsoft (United States)
Andrew D. Wilson
Andrew D. Wilson Microsoft (United States)
Ashish Kapoor
Ashish Kapoor Microsoft (United States)

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