Hi, I’m Bhanu Teja Gullapalli; thanks for visiting my website. I am a fifth-year Ph.D. student in the Halıcıoğlu Data Science Institute at the University of California San Diego advised by Tauhidur Rahman.
As a member of Mosaic Lab, I focus on machine learning and ubiquitous technologies in the medical domain. I am primarily interested in developing machine learning algorithms that understand the time-series physiological signals collected from wearable devices to predict and explain various behavioral variables associated with substance usage and addiction.
In the past, I have worked as a research intern at Samsung Digital Health Lab. I joined the University of Massachusetts Amherst as a Master’s student in 2017 and moved to MS/Ph.D. track in 2018. After spending four wonderful years there, I transferred to the University of California San Diego. I did my undergrad at the Indian Institute of Technology -Guwahati (IITG), where I completed my thesis under the supervision of Samit Bhattacharya and Benny George.
I like to check out places around me, play badminton, board games, and go on long drives in my free time. I started hiking actively this year (my list). At present, I am trying to learn Rock climbing.
Sep 2022: I will be moving from UMass Amherst to University of California San Diego to complete my remaining PhD at Halıcıoğlu Data Science Institute.
Dec 2021: Our recent and ongoing work on Addiction Computing Technologies was covered by UMass Press.
Aug 2021: Accepted to Yale's Innovation to Impact program.
July 2021: Our work on mobile health tools for substance use disorder has generated NSF Smart and Connected Health grant ($1.1 million) funding for our lab.
July 2021: Our paper "OpiTrack: A Wearable-based Clinical Opioid Use Tracker with Temporal Convolutional Attention Networks" has been accepted in Ubicomp 2021, More details regarding this will be updated soon!
May 2021: Our paper "Joint Prediction of Cocaine Craving and Euphoria using Structured Prediction Energy Networks" got accepted in MobiSys 2021 workshop Future of Digital Biomarkers!
Apr 2021: Passed my portfolio. I am officially a PhD candidate now!
Jan 2021: I’ll be returning as the TA for CS528 (Mobile and Ubiquitous Computing) this Spring.
Sept 2019: Presented our paper "On-body Sensing of Cocaine Craving, Euphoria and Drug-Seeking Behavior Using Cardiac and Respiratory Signals" at Ubicomp 2019, London.
Feb 2019: Our paper "On-body Sensing of Cocaine Craving, Euphoria and Drug-Seeking Behavior Using Cardiac and Respiratory Signals" got accepted in Ubicomp 2019!
Sept 2018: Started my PhD in Computer Science at UMass Amherst.
Feb 2017: Started my MS in Computer Science at UMass Amherst.