Tanjid Hasan Tonmoy

I’m Tanjid Hasan Tonmoy, a third year PhD student at the Halicioğlu Data Science Institute (HDSI) at UC San Diego. My research focuses on Machine Learning for Ubiquitous Computing, driven by a passion for developing intelligent, closed-loop systems. These systems aim to seamlessly integrate sensing technologies with adaptive interventions, holding potential for innovative solutions in healthcare, IoT, and personalized technology. I am fortunate to be advised by Professor Tauhidur Rahman at the MOSAIC Lab.

My core research interests lie in Machine Learning, Sensing Technologies (both off-body and on-body), and Adaptive Intervention Strategies. I am particularly focused on creating autonomous and responsive systems that enhance personalized healthcare and smart environments. My goal is to leverage data-driven solutions to improve human well-being and enrich user experiences within ubiquitous computing contexts. This work builds upon my Bachelor’s degree in Computer Science and Engineering from the University of Dhaka, which provided a robust theoretical and practical foundation.

Prior to my PhD, I gained valuable practical experience as a Software Engineer in Machine Learning at Therap (BD) Ltd. There, I developed and deployed deep learning-based computer vision systems for applications like pose estimation, fall detection, and face recognition. This role involved hands-on experience optimizing and deploying models for resource-constrained edge devices, such as the NVIDIA Jetson. During that time, as a Research Assistant at the Artificial Intelligence and Cybernetics Lab, Independent University, Bangladesh, I refined my research methodology and data analysis techniques, contributing to projects focused on human activity recognition from wearable sensors and the automated evaluation of rehabilitation exercises.