Manasa Kalanadhabhatta

Ph.D. Candidate, College of Information and Computer Sciences, University of Massachusetts Amherst

I am an M.S./Ph.D. student in the Manning College of Information and Computer Sciences at UMass Amherst. I am advised by Profs. Deepak Ganesan and Tauhidur Rahman as part of the MOSAIC Lab. My research interests lie at the intersection of ubiquitous sensing, human computer interaction, and machine learning for applications in health and wellbeing.

I use behavioral data and neurophysiological signals from wearable and ubiquitous devices to develop novel multimodal methods for sensing mental health and cognitive wellbeing. My dissertation research focuses on human-centered development and evaluation of scalable mental health screening tools for young children. I collaborate closely with Prof. Adam Grabell and the SEED Lab in the Department of Psychological and Brain Sciences on this work. Additionally, some of my past work has examined the relationship between sleep, activity, and cognitive performance and explored PTSD prediction using wearable and brain signals.

I have also spent time as a research intern at Meta Reality Labs and at Nokia Bell Labs. Previously, I earned a Bachelor’s degree in Computer Science and Engineering from Shiv Nadar University, India and was a visiting research student at Singapore Management University.


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Aug 2023 Our paper on detecting PTSD symptom severity from neural and physiological signals has been accepted to ACII 2023.
May 2023 I defended my Ph.D. thesis proposal and will be returning to Meta Reality Labs as a research intern this summer!
Apr 2023 Honored to receive a Dissertation Award from the UMass Amherst Center for Research on Families! Read more about my work here.
Feb 2023 I’m a Publicity and Social Media co-chair for ACM UbiComp/ISWC 2023 – join us in Cancún in October 2023.
Sep 2022 New paper on Extracting Multimodal Embeddings via Supervised Contrastive Learning for Psychological Screening accepted to ACII 2022 – check out the preprint!
Jul 2022 Our paper on EarlyScreen, a system for early childhood psychopathology screening, is now published at IMWUT! Read a short summary or watch the teaser video here.
Apr 2022 This summer, I’m interning with the CTRL team at Meta Reality Labs in New York City working on neural interfaces for AR/VR.
Nov 2021 My internship work with Nokia Bell Labs on multimodal, multi-device sensing of mental fatigue has been accepted to PervasiveHealth 2021! Check it out here or explore our publicly available dataset.
Jun 2021 Excited to be spending the summer as a Research Intern at Nokia Bell Labs, Cambridge, UK!
May 2021 Passed my portfolio – officially a Ph.D. candidate now!
Mar 2021 I’ve been accepted to the 2021 CRA-WP Grad Cohort for Women and will present my work on April 23-24.
Feb 2021 We’re organizing the inaugural Voices of Data Science Conference at UMass Amherst! Join us virtually on February 19 and 20 to hear from our illustrious speaker lineup.
Jan 2021 Our paper on the effect of sleep and activity measures on cognitive performance has been published in the Journal of Medical Internet Research!
Jan 2020 I’ll be returning as the TA for CS328 (Mobile Health Sensing and Analytics) this Spring.
Oct 2019 I’ll be attending the Grace Hopper Celebration from 2-4 October in Orlando, FL! I’m also volunteering as a Hopper. Say hi if you’re around!
Jul 2019 Honored to be awarded the Lori A. Clarke Scholarship from CICS, UMass Amherst.
Jun 2019 I’m helping run the UMass Turing Summer Program for high-school students – follow us on Twitter!
Sep 2018 This Fall, I will be a Teaching Assistant for CS328: Mobile Health Sensing and Analytics, taught by Prof. Deepak Ganesan.
Aug 2018 Starting my M.S./Ph.D. program this September at the College of Information and Computer Sciences, UMass Amherst!