Poorva Bedmutha

PhD Student · Electrical & Computer Engineering, UC San Diego

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La Jolla, San Diego, CA

pbedmutha@ucsd.edu

ECE 1, Room 4314

I am a PhD student in the Electrical and Computer Engineering department at UC San Diego, where I build human-centered analytics for immersive and assistive technologies. Working with Prof. Pamela Cosman, I study how gaze, head motion, speech, and physiological signals reveal attention and comfort in triadic VR interviews designed for neurodivergent participants. My goal is to translate these multimodal insights into equitable wellbeing tools that adapt to the people using them.

Currently, I am:

  • Designing VR analysis pipelines that align gaze sequences, audio cues, and joint attention to flag moments where autistic candidates may need interviewer support.
  • Prototyping PulsePal, a conversational biofeedback coach that pairs pulse oximeter feedback with generative guidance to reduce stress prior to interviews.
  • Serving as Junior Data Scientist at UCSD Health to deploy a recommendation API that connects students with mental health services and campus programming.

Previously, I developed personalized HRTFs with the Qualcomm Institute’s Audio Spatialization Lab, created respirator-free cough monitoring systems that earned the ACM UbiComp/ISWC WellComp Best Paper Award, and led canonical correlation analyses that linked music features with neural entrainment at IIT Gandhinagar.

Through service, I founded the GradWIC mentorship circles at UCSD (now supporting 40+ mentees), review for IEEE ISMAR and CHI LBW, and organize community-building programming for ECE graduate students.

Get in touch if you’d like to collaborate on VR accessibility, physiological sensing, or inclusive wellbeing technology.

news

latest posts

selected publications

  1. tnsre.jpg
    Analysis of Gaze, Head Orientation and Joint Attention in Autism with Triadic VR Interviews
    Saygin Artiran ,  Poorva Satish Bedmutha ,  and  Pamela Cosman
    IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2024
    Accepted for publication
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    Gaze and Head Rotation Analysis in a Triadic VR Job Interview Simulation
    Saygin Artiran ,  Poorva S. Bedmutha ,  Aaron Li ,  and  Pamela Cosman
    In 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) , 2023
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    Privacy-Aware Respiratory Symptom Detection in-the-Wild
    Manas Satish Bedmutha ,  Poorva Satish Bedmutha ,  and  Nadir Weibel
    In Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing , 2023
    WellComp Workshop Best Paper Award