Aniket Bera

University of Maryland
Assistant Research Professor

Iribe Center Room 5144
8125 Paint Branch Drive
College Park, MD 20742
Phone: (301) 405-4209
email: ab [at] cs.umd.edu

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About

Dr. Aniket Bera is an Assistant Research Professor at the Department of Computer Science with appointments/affiliations with the UMIACS, Maryland Robotics Center, Brain and Behavior Institute. Prior to this, he was a Research Assistant Professor at University of North Carolina at Chapel Hill. He received his Ph.D. in 2017 from the University of North Carolina at Chapel Hill. He is also the founder of Project Dost.

His core research interests are in Affective Computing, Computer Graphics (AR/VR, Augmented Intelligence, Multi-Agent Simulation), Social Robotics, Autonomous Agents, Cognitive modeling and planning for intelligent characters.

He is a faculty with the GAMMA group and has advised and co-advised over multiple M.S. and Ph.D. students. He has authored over 60+ papers, 1200+ citations and his work has won multiple awards at top Graphics/VR conferences. He also works with the University of Maryland at Baltimore Medical School to build algorithms and systems to help therapists and doctors detect mental health and social anxiety issues. His research involves novel combinations of methods and collaborations in machine learning, computational psychology, computer graphics, and physically-based simulation to develop real-time computational models to learn human behaviors. Dr. Bera has previously worked in many research labs, including Disney Research, Intel, and Centre for Development of Advanced Computing.

Dr. Bera's research has been featured on CBS, WIRED, Forbes, FastCompany, Times of India etc.

Note: This WWW isn't updated regularly. For full list of publications, grants and workshops please refer to CV or Google Scholar

PROSPECTIVE STUDENTS:

  1. If you're looking for graduate admissions, please apply to UMD CS (https://www.cs.umd.edu/grad/catalog) and mention my name and research interests. Please note that all admission decisions are taken by the committee.
  2. If you're already a student at UMD, the best way to increase the chances of a response to an e-mail is to read one of my recent papers and include a concise paragraph with the benefits and drawbacks of the main idea as well as possible improvements you'd be interested to try and send me an email with your CV and background.

🗣 Updates/News
















📖 Latest Publications

  • Redirected Walking in Static and Dynamic ScenesUsing Visibility Polygons
    TVCG and ISMAR 2021
    Journal Papers Conference Papers
    Niall L. Williams, Aniket Bera, Dinesh Manocha



  • Can a Robot Trust You? A DRL-Based Approach to Trust-Driven Human-Guided Navigation
    ICRA 2021
    Conference Papers
    Vishnu Sashank Dorbala, Arjun Srinivasan Ambalam, Aniket Bera



  • Text2Gestures: A Transformer-Based Network for Generating Emotive Body Gestures for Virtual Agents
    IEEE VR 2020
    Conference Papers 🏆Best Paper Award
    Uttaran Bhattacharya, Nicholas Rewkowski, Abhishek Banerjee, Pooja Guhan, Aniket Bera, Dinesh Manocha

  • Multimodal and Context-Aware Emotion Perception Model with Multiplicative Fusion
    IEEE Multimedia
    Journal Papers
    Trisha Mittal, Aniket Bera, Dinesh Manocha



  • ARC: Alignment-based Redirection Controller for Redirected Walking in Complex Environments
    TVCG and IEEE VR 2020
    Journal Papers Conference Papers 🏆Best Paper Award
    Niall L. Williams, Aniket Bera, Dinesh Manocha


  • Learning Unseen Emotions from Gestures via Semantically-Conditioned Zero-Shot Perception with Adversarial Autoencoders
    arXiv preprint arXiv:2009.08906

    Abhishek Banerjee, Uttaran Bhattacharya, Aniket Bera



  • Generating Emotive Gaits for Virtual Agents Using Affect-Based Autoregression
    ISMAR 2020
    Conference Papers
    Uttaran Bhattacharya, Nicholas Rewkowski, Pooja Guhan, Niall L. Williams, Trisha Mittal, Aniket Bera, Dinesh Manocha


  • Emotions Don't Lie: A Deepfake Detection Method using Audio-Visual Affective Cues
    ACM MM 2020
    Conference Papers
    Trisha Mittal, Uttaran Bhattacharya, Rohan Chandra, Aniket Bera, Dinesh Manocha






Funding agencies and collaborators


  

Students Supervised/Co-Supervised

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"I think everyone should learn how to program a computer, because it teaches you how to think. I view computer science as a liberal art, something everyone should learn to do." - Steve Jobs

Artwork by Ashley Trinh, Inspiration by Paul Kube