Megha Thukral
756 W Peachtree St NW
CODA Building
Atlanta, Georgia, USA
Hey! I am a 3rd-year ML PhD student at School of Interactive Computing, Georgia Institute of Technology. I work at the intersection of machine learning, ubiquitous sensing, and digital health. My research focuses on developing generalizable models for movement and physiological signals from wearable sensors using large-scale unlabeled data (via self-supervised and cross-modal transfer). I also explore how foundation models from data-rich domains, such as language, can be leveraged to improve the modeling of sensing data in low-resource applications. I am thankful to by OptumAI and NSF AI Caring project for funding my research. I am grateful to be advised by Prof. Thomas Ploetz.
news
| Nov 20, 2025 | 🎉📄 My Samsung intership work Wavelet-Based Masked Multiscale Reconstruction for PPG Foundation Models, has been accepted to NeurIPS’25 Workshop Learning from Time Series for Health. Looking forward to NeurIPS’25 in San Diego! |
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| Nov 10, 2025 | 🎉📄 Our paper: AgentSense: Virtual Sensor Data Generation Using LLM Agents in Simulated Home Environments is accepted to AAAI ‘26! |
| May 16, 2025 | 🎉⌚ Excited to share that I am interning with Samsung Research America in Digital Health Lab building ML/AI models for large-scale wearable datasets with Biomarkers team !! |
| May 1, 2025 | 🎉📄 Excited to share our new work “AgentSense: Virtual Sensor Data Generation Using LLM Agents in Simulated Home Environments” where we leverage LLMs and VirtualHome to simulate human behavior and generate ambient sensor data. Read the Preprint |
| Jan 11, 2025 | 🎉📄 Our paper Layout-Agnostic Human Activity Recognition in Smart Homes through Textual Descriptions Of Sensor Triggers (TDOST), has been accepted to ACM IMWUT. Looking forward to Ubicomp 2025! |