cv

Academic CV for Poorva Satish Bedmutha, highlighting education, research, publications, and service.

Basics

Name Poorva Satish Bedmutha
Label PhD Student · Human-Centered VR Analytics
Email pbedmutha@ucsd.edu
Phone +1 (858) 247-9213
Url https://poorvabedmutha31.github.io
Summary PhD researcher at UC San Diego designing multimodal VR analytics, physiological sensing, and wellbeing recommendation systems for neurodivergent support.

Work

  • 2023.06 - 2023.09
    Research Intern
    Qualcomm Institute · Audio Spatialization Lab
    Generated personalized HRTFs and digital avatars to evaluate acoustic realism in Space3D VR experiences.
    • Created ray-tracing pipelines for individualized spatial audio evaluation.
    • Automated avatar generation from 2D images for VR listening experiments.
  • 2023.01 - Present
    Junior Data Scientist
    UC San Diego Health
    Designing a recommendation API that connects students with campus wellbeing services through engagement signals and experimentation dashboards.
    • Built intake UX and data pipelines powering rapid prototyping of personalization strategies.
    • Launched A/B tests for mental health resource recommendations with campus partners.
  • 2022.09 - Present
    Graduate Researcher
    Cosman Lab, UC San Diego
    Lead VR interview studies to analyze gaze, joint attention, and physiological cues for neurodivergent job candidates.
    • Developed multimodal analytics aligning gaze, head pose, and conversational flow in triadic VR interviews.
    • Co-authored IEEE TNSRE and ISMAR publications on immersive assessment tooling.

Volunteer

  • 2023.01 - Present
    President & Mentorship Lead
    UCSD CSE GradWIC
    Founded GradWIC mentorship circles and coordinate programming that supports graduate women and non-binary technologists across UCSD.
    • Onboarded 40+ mentees across three mentorship cohorts.
    • Organized industry panels and skills workshops with partner companies.

Education

  • 2022.09 - Present

    San Diego, California

    PhD
    University of California San Diego
    Electrical and Computer Engineering (Signal and Image Processing)
    • Statistical Learning
    • Digital Image Processing
    • Data Analysis
    • Recommender Systems
  • 2018.08 - 2022.05

    Pune, India

    B.E.
    Pune Institute of Computer Technology, Savitribai Phule Pune University
    Electronics and Telecommunication Engineering (Data Science)

Awards

  • 2023.10.01
    Best Paper Award
    ACM UbiComp/ISWC WellComp Workshop
    Recognized for privacy-aware respiratory symptom detection deployed in the wild with low-sampling audio pipelines.
  • 2023.08.01
    Tapia Scholarship Awardee
    CMD-IT / ACM Richard Tapia Celebration of Diversity in Computing
    Selected to represent UC San Diego at the Tapia Conference for contributions to inclusive computing communities.
  • 2022.06.01
    IEEE WISC Scholarship
    IEEE Women in Sensors and Communications
    Honored for research excellence and leadership in sensing technologies.

Publications

Skills

Machine Learning & Signal Processing
Multimodal VR analytics
Physiological sensing
Sequence modeling
TensorFlow
PyTorch
scikit-learn
Human-Centered Design
Inclusive research studies
A/B experimentation
Mentorship program design
Accessibility prototyping

Languages

English
Fluent
Hindi
Professional working proficiency
Marathi
Native speaker

Interests

Immersive Analytics
Virtual reality
Joint attention
Wellbeing technology
Inclusive design

Projects

  • 2022.09 - Present
    Triadic VR Interview Analytics
    Created joint attention metrics and visual analytics that flag coaching opportunities for neurodivergent job candidates during VR mock interviews.
    • Aligned gaze, head pose, and speech cues across interviewer and candidate streams.
    • Released reusable tooling for Cosman Lab’s VR study cohorts.
  • 2024.01 - Present
    PulsePal Biofeedback Coach
    Developing a conversational agent that pairs pulse oximeter feedback with generative guidance to help users self-regulate before interviews.
    • Combines physiological signals with language models for empathetic coaching.
    • Pilot testing with graduate student volunteers underway.