I am a Ph.D. student in the Halıcıoğlu Data Science Institute at the University of California San Diego advised by Tauhidur Rahman. My research lies at the intersection of wearable health sensing and machine learning (with occasional hops onto underlying biology)

A bit about my research journey in no chronological order: In the past, I have worked as a research intern at Optum AI Labs, 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. More about me..

I will graduate from my PhD at Halıcıoğlu Data Science in 2024. If my work interests you, please get in touch! If you are interested in knowing more about my research, check out the Research tab.

CV / Resume, Google Scholar Email ID: bgullapalli@ucsd.edu

Updates

Mar 2024:Accepted to the Future Leaders Summit. I will attend Michigan Institute for Data Science (MIDAS) to present my research and engage in research discussions with peers and research leaders.
Oct 2023:Our work "Pharmacokinetics-Informed Neural Network for Predicting Opioid Administration Moments with Wearable Sensors" has been accepted in Innovative Applications of Artificial Intelligence (IAAI-24).
July 2023:Successfully passed my PhD Proposal!!
June 2023:Started my summer internship at Optum AI Labs , where I will be working with Mashfiqui Rabbi
Apr 2023:Our work "Zoom-Based Mindfulness-Oriented Recovery Enhancement Plus Just-in-Time Mindfulness Practice Triggered by Wearable Sensors for Opioid Craving and Chronic Pain" has been accepted for publication in the journal Mindfulness
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.
Aug 2022:Our work "Impact of individual and treatment characteristics on wearable sensor-based digital biomarkers of opioid use" has been accepted for publication in the journal npj Digital Medicine Paper
May 2022:This summer, I will be starting as a research intern at Samsung Research America where I will be working with Digital Health Lab .
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!
June 2021:Organized MobiSys 2021 workshop Future of Digital Biomarkers with Tauhidur Rahman and Michael Sobolev.
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 at UMass Amherst!
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.