Tanjid Hasan Tonmoy
Tanjid Hasan Tonmoy Headshot

Tanjid Hasan Tonmoy

PhD Student | Machine Learning, Ubiquitous Computing

I am a PhD student at UC San Diego specializing in Machine Learning for Ubiquitous Computing. My research focuses on developing intelligent sensing systems for healthcare and IoT applications. I am passionate about creating data-driven solutions to real-world challenges. _

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.

Education

University of California San Diego - Halıcıoğlu Data Science Institute

PhD Student (Data Science)

September 2022 - Ongoing | La Jolla, CA, USA

Advisor: Professor Tauhidur Rahman

University of Dhaka

Bachelor of Science in Computer Science and Engineering (B.Sc. CSE)

January 2016 - January 2020 | Dhaka, Bangladesh

CGPA: 3.83/4.0

Professional Experience

Software Engineer, Machine Learning

Therap (BD) Ltd. | Dhaka, Bangladesh

April 2021 - June 2022

  • Developed and deployed deep learning-based computer vision systems for pose estimation, fall detection and face recognition.
  • Optimized and deployed machine learning models for edge devices such as NVIDIA Jetson.

Associate Software Engineer, Machine Learning

Therap (BD) Ltd. | Dhaka, Bangladesh

February 2020 - March 2021

  • Developed models using data from IoT & wearable devices and web applications for data collection.
  • Conducted analysis on sales and usage data for insights and model development.

Research Assistant, Artificial Intelligence and Cybernetics Lab

Independent University, Bangladesh | Dhaka, Bangladesh

February 2020 - June 2022

Advisors: Dr. Amin Ahsan Ali and Dr. A K M Mahbubur Rahman

Research Topics:

  • Attention mechanism based representation learning
  • Human activity recognition from wearable devices
  • Probabilistic models for sequential data
  • Automated evaluation of rehabilitation exercises

Skills & Expertise

Programming & Languages

PythonJavaC/C++JuliaRJavaScript

ML/Data Science

PyTorchTensorFlowScikit-learnDeep LearningComputer VisionHARStatistical Modeling

Ubiquitous Computing

Sensor Data AnalysisWearable TechnologyClosed-Loop SystemsContext-Aware ComputingIoT

Tools & Platforms

GitDockerTensorRTLaTeXNVIDIA JetsonSQLFirebaseFlaskReact

Publications

AeroSafe: Mobile Indoor Air Purification using Aerosol Residence Time Analysis and Robotic Cough Emulator Testbed

Venue: ICRA 2025

Crowdotic: A Privacy-Preserving Hospital Waiting Room Crowd Density Estimation with Non-speech Audio

Venue: ACM HotMobile 2024

Human Activity Recognition from Wearable Sensor Data Using Self-Attention

Venue: ECAI 2020

Projects & Portfolio

AeroSafe: Mobile Indoor Air Purification

AeroSafe: Mobile Indoor Air Purification

Developed analysis techniques and a robotic testbed for air purification evaluation.

Crowdotic: Crowd Density Estimation

Crowdotic: Crowd Density Estimation

Privacy-preserving crowd density estimation using non-speech audio in hospitals.

HAR with Self-Attention

HAR with Self-Attention

Leveraged self-attention mechanisms for human activity recognition from wearable sensors.

Get In Touch

I’m always open to discussing new projects, collaborations, or opportunities. Feel free to reach out!