About Me

I’m Tanjid Hasan Tonmoy, a third year PhD student at UC San Diego’s Halıcıoğlu Data Science Institute, University of California San Diego, specializing in Machine Learning for Ubiquitous Computing. My research focuses on developing intelligent, closed-loop systems that seamlessly integrate sensing with adaptive interventions – skills directly applicable to innovative solutions in healthcare, IoT, and personalized technology. I am advised by Professor Tauhidur Rahman at the MOSAIC Lab.

Building upon a strong foundation in practical application, I previously worked as a Software Engineer in Machine Learning at Therap (BD) Ltd. There, I developed and deployed deep learning-based computer vision systems for pose estimation, fall detection, and face recognition, gaining hands-on experience optimizing and deploying models for edge devices like NVIDIA Jetson. Earlier, as a Research Assistant at the Artificial Intelligence and Cybernetics Lab, Independent University, Bangladesh at Independent University, Bangladesh, I honed my research methodology and data analysis techniques, contributing to projects focused on human activity recognition from wearable devices and automated rehabilitation exercise evaluation.

My core research interests lie in Machine Learning, Sensing Technologies (off-body and on-body), and Adaptive Intervention Strategies, with a particular focus on creating autonomous and responsive systems for personalized healthcare and smart environments. I am passionate about developing data-driven solutions that can improve human well-being and enhance user experiences in ubiquitous computing contexts. My Bachelor’s degree in Computer Science and Engineering from the University of Dhaka provides a robust theoretical and practical foundation for this work.