PiCASSo Lab

Faculty
	Shubham Jain My research interests lie at the intersection of smart environments and cyber-physical systems (CPS), particularly in building software and architectural support for enabling large-scale analytics on pervasive sensing devices. My research has enabled ubiquitous devices to expand their role and innovate new services, ranging from large-scale video analytics to pedestrian safety. I am also interested in using wearable sensors for enabling low-cost scalable monitoring of health parameters.

PhD Students
	Bo Cao My primary interest includes multi-model data association, reinforcement learning, graph neural network and deep learning. Currently, I am working on the human data association from various modalities problem. Prior to my PhD journey, I obtained my master degree in the University of Colorado Boulder where I worked on Body Language for Robots project that uses intuitive body gestures to navigate indoor robots. During my spare time I love photography.
	Tanmay Srivastava Tanmay is a fifth-year CS Ph.D. student at Stony Brook University. His work lies at the intersection of Ubiquitous Sensing and Wearable Systems. Tanmay received his Bachelor's in Instrumentation and Control. Currently, he is exploring novel and accessible HCI modalities. Tanmay has previously worked with Dr. Nipun Batra as a Research fellow at IIT, Gandhinagar on ubiquitous lung health monitoring. In 2018, along with Dr. Aakanksha Chowdhery, he developed AirCognizer an Android application for estimating Air Quality Index via smartphone camera images.
	Adiba Shaira Adiba Shaira is a third year Ph.D. student in Computer Science at Stony Brook University. Her research focuses on health sensing and human performance analytics, with an emphasis on wearable–sensor–based safety and prediction systems. Currently, she is developing predictive models to detect the onset of muscle failure and forecast strength-training performance using IMU data. Before joining Stony Brook, she was a Lecturer at United International University in Dhaka. She earned her undergraduate degree in Computer Science and Engineering from Bangladesh University of Engineering and Technology (BUET). Website - https://adibashaira.github.io/
	Amartya Basu Amartya is a PhD student in the Department of Computer Science at Stony Brook University. His research interests lie in the broad field of IoT, with a particular focus on multi-modal sensing and mobile systems. Before moving to Stony Brook University, he completed an MS(CSE) from IIT Madras and a B.Tech (CSE) from the Government College of Engineering and Leather Technology. Website- amartya-pixel.github.io
	Taseen Mubassira Taseen Mubassira is a PhD student in the Department of Computer Science at Stony Brook University. Her research interests span mobile sensing, wearable technologies, cyber-physical systems (CPS), and accessibility, with a particular focus on designing and developing user-centered sensing systems for improving everyday experiences. Before joining Stony Brook University, she completed her undergraduate (CSE) from BUET (Bangladesh University of Engineering and Technology). Website – https://tashinmubassira.github.io/

MS Students
	Paras Bhavnani Paras recently graduated with a Master’s degree from Stony Brook University, where he worked as a Research Assistant in the Pervasive Computing and Smart Sensing (PiCASSo) Lab under Prof. Shubham Jain. He co-authored MAJIC: Multi-modal Audio Jaw Integration for Emotion Classification, developing a system that fuses jaw motion, facial muscle activity, and audio for emotion recognition. He also contributed to Unvoiced: Designing an LLM-assisted Unvoiced User Interface using Earable, conducting multimodal data collection and preprocessing to enable silent communication interfaces powered by large language models.
	Harsh Donga Harsh Donga completed his MS in Computer Science at Stony Brook University, where he worked in the PiCASSo Lab under Prof. Shubham Jain. His research focused on analyzing motor and cognitive patterns in Parkinson’s disease patients using mobile and wearable sensor data. He is currently working as a Systems Engineer in Infrastructure Engineering at Cloudflare in Washington, D.C.
	Abhinav Sharma Abhinav Sharma earned his Master’s degree in Computer Science from Stony Brook University in 2024. He now works as a Deep Learning Compiler Engineer at AMD.


	Ritvik Khanna Ritvik is currently working at Instagram as part of the Engineering Ads team.