Ruchik Mishra

Postdoctoral Fellow, Inan Research Lab, Georgia Institute of Technology

prof_pic.jpg

I am a postdoctoral fellow in the School of Electrical and Computer Engineering at the Georgia Institute of Technology, working with Prof. Omer T. Inan in the Inan Research Lab.

I currently develop a translational pipeline for wearable joint acoustics, aimed at bringing joint-health assessment from the clinic into the home. My work focuses on children with juvenile idiopathic arthritis (JIA), where I use the sounds a knee makes as it moves, recorded by a wearable device, to predict disease activity. The goal is objective, at-home monitoring that can capture changes in joint health between clinic visits.

More broadly, my research aims to make health data collected outside the clinic reliable enough to act on. I combine multimodal wearable sensing and machine learning to turn physiological signals into interpretable information about a person’s changing health, accounting for factors such as sensor placement and differences in anatomy that can mask true changes.

I received my Ph.D. in Electrical Engineering from the University of Louisville in 2025, advised by Dr. Dan O. Popa and Dr. Karla Conn Welch. My dissertation developed multimodal emotion recognition for human–robot interaction across neurodiverse populations, including children with autism. I earned my B.E. (Honors) in Manufacturing Engineering from BITS Pilani, Hyderabad.

news

Jul 29, 2026 Our paper validating the KneeMS wearable against a benchtop system in children with JIA was accepted to the IEEE Journal of Translational Engineering in Health and Medicine.
Jul 01, 2026 Our paper on predicting JIA disease activity with KneeMS and machine learning was accepted to IEEE EMBC 2026.
Mar 25, 2026 Gave an invited talk, “Joint-Associated Mechanical Sounds,” to the Division of Pediatric Rheumatology at Emory University School of Medicine.
Mar 20, 2026 Presented a poster on KneeMS for juvenile idiopathic arthritis at the 2026 Pediatric Rheumatology Symposium in Minneapolis, MN.
Jun 09, 2025 Joined the Inan Research Lab at Georgia Tech as a postdoctoral fellow.
May 28, 2025 Our paper comparing printed and verbal assembly instructions delivered by a social robot was accepted to IEEE CASE 2025.
May 09, 2025 Received my Ph.D. in Electrical Engineering from the University of Louisville.
Mar 17, 2025 My paper on personalized speech emotion recognition with vision transformers was accepted to IEEE Robotics and Automation Letters.
Nov 04, 2024 Awarded the Dissertation Completion Award, a University of Louisville fellowship for Spring 2025.
Oct 07, 2024 Our paper on wearable measures of children’s listening effort was published in the American Journal of Audiology.
Feb 02, 2024 Received a Mark of Distinction at the Kentucky NSF EPSCoR SuperCollider research poster session.
Sep 10, 2023 Presented our paper on social impressions of the NAO robot and its effect on physiology at ACII 2023, MIT Media Lab.
Jun 14, 2023 Guest on the Talking Robotics podcast, talking about personalized robotic intervention for children with autism (YouTube, Spotify).
Apr 06, 2023 Our poster was accepted to the Socially Acceptable Robots workshop at ICRA 2023 in London.

selected publications

  1. JTEHM
    jtehm-2026.jpg
    KneeMS to Monitor Knee Acoustic Emissions for Juvenile Idiopathic Arthritis
    Ruchik Mishra, Quentin Goossens, Christopher Nichols, Ahmet Rasim Emirdagi, Chuoqi Chen, Onur Selim Kilic, Mohammad Nikbakht, Prabhkirat Bindra, Catherine Yang, Cate Garretson, Lori Ponder, Sampath Prahalad, and Omer T. Inan
    IEEE Journal of Translational Engineering in Health and Medicine, 2026
  2. RA-L
    ral-2025.jpg
    Personalized Speech Emotion Recognition in Human-Robot Interaction Using Vision Transformers
    Ruchik Mishra, Andrew Frye, Madan Mohan Rayguru, and Dan O. Popa
    IEEE Robotics and Automation Letters, 2025
  3. arXiv
    llm-asd-2024.jpg
    Human-Mediated Large Language Models for Robotic Intervention in Children with Autism Spectrum Disorders
    Ruchik Mishra, Karla Conn Welch, and Dan O. Popa
    Under review; preprint available on arXiv (arXiv:2402.00260), 2024
  4. EMBC
    embc-2026.jpg
    Predicting Disease Activity in Juvenile Idiopathic Arthritis Using KneeMS and Machine Learning
    Ruchik Mishra, Ahmet Rasim Emirdagi, Chuoqi Chen, Catherine Yang, Holland E. Ernst, Lori Ponder, Sampath Prahalad, and Omer T. Inan
    In 48th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), in press, 2026