Research

I am broadly interested in Wearable Health Sensing and Machine Learning. My primary focus has been 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.

Google Scholar

Papers

• Pharmacokinetics-Informed Neural Network for Predicting Opioid Administration Moments with Wearable Sensors
  Bhanu Teja Gullapalli*, Stephanie Carreiro, Brittany P Chapman, Eric L Garland, Tauhidur Rahman Proceedings of the AAAI Conference on Artificial Intelligence, IAAI’24.
  PDF // Poster //Video // Tweet

• Zoom-Based Mindfulness-Oriented Recovery Enhancement Plus Just-in-Time Mindfulness Practice Triggered by Wearable Sensors for Opioid Craving and Chronic Pain
  Eric L. Garland, Bhanu Teja Gullapalli*, Kort C. Prince, Adam W. Hanley, Mathias Sanyer, Mark Tuomenoksa, Tauhidur Rahman
  Minfulness Journal. Apr 2023
  PDF

• Impact of individual and treatment characteristics on wearable sensor-based digital biomarkers of opioid use
  Brittany P Chapman, Bhanu Teja Gullapalli*, Tauhidur Rahman, David Smelson, Edward W.Boyer, Stephanie Carreiro
  npj Digital Medicine. Aug 2022
  PDF // Tweet

• OpiTrack: A Wearable-based Clinical Opioid Use Tracker with Temporal Convolutional Attention Networks
  Bhanu Teja Gullapalli*, Stephanie Carreiro, Brittany P Chapman, Deepak Ganesan, Jan Sjoquist, Tauhidur Rahman
  Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 2021
  PDF // Slides // Video // Tweet

• Joint prediction of cocaine craving and euphoria using structured prediction energy networks
  Bhanu Teja Gullapalli*, Gustavo A Angarita, Deepak Kumar Ganesan, Tauhidur Rahman
  Proceedings of the 2021 MOBISYS Workshop on Future of Digital Biomarkers 2021
  PDF // Video

• On-body Sensing of Cocaine Craving, Euphoria and Drug-Seeking Behavior Using Cardiac and Respiratory Signals
  Bhanu Teja Gullapalli*, Annamalai Natarajan, Gustavo A Angarita, Robert T Malison (late), Deepak Kumar Ganesan, Tauhidur Rahman
  Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 2019
  PDF