Portrait of Colman Leung

New York City, NY, USA

Ho Man Colman Leung

PhD candidate in Computer Science at Columbia University, Mobile X Lab

I build wearable systems that measure the human body, from custom sensors and circuit boards to signal processing, machine learning and human-subject studies. My research focuses on physiological sensing for health and human-computer interaction, through hardware–software co-design. I am advised by Prof. Xia Zhou in the Mobile X Lab at Columbia University.

I am on the job market for industry research scientist roles starting in 2027. Feel free to reach out on LinkedIn or by email.

Research

Illustration of a loose T-shirt with ECG sensors on the upper back

Continuous ECG Monitoring with a Loose T‑Shirt

MobiDx 2026 · MobiCom workshop

Loose clothing was long considered unusable for ECG because the fabric moves with the body. The shirt's own weight and a little sweat hold a thin kirigami sensor to the back, and a hybrid electrode senses motion so it can be filtered out.

92.7% of full waveforms at rest · 84.5% of heartbeats while walking

Illustration of a hand resting on a portable optical glucose sensor, shown in cutaway

Noninvasive Optical Glucose Sensing

Scientific Reports 2025 · Sensors 2023 · UbiComp 2022

A portable box that estimates glucose levels from how the palm rotates polarized light, with a light trap that rejects stray reflections. Tested in a 363-day home study with 30 participants, run with the Barbara Davis Center for Diabetes.

Over 95% of predictions clinically accurate or acceptable

Illustration of a person sleeping on a pillow with fabric sensors under the neck

Computational Fabrics for Health

IMWUT 2025 · MobiSys 2024 · ICORR 2025

Sensors made from conductive fabric and built into everyday textiles: a pillowcase that tracks heart rate, breathing and sleep posture, Joey for kangaroo mother care of newborns, and a fabric sensor for hand-muscle rehabilitation.

My role Built the pillow's sensing prototype, developed Joey's Android app, advised on the hand-muscle sensors

Publications

Google Scholar ↗
2026

Continuous Electrocardiogram Monitoring with a Loose T-Shirt

Ho Man Colman Leung, Kyle Tong, Ming Gong, Nam Bui, Xia Zhou

MobiDx 2026 · MobiCom workshop · Presented in Austin, TX

2025

Clinical Evaluation of a Polarization-based Optical Noninvasive Glucose Sensing System

Ho Man Colman Leung, Chengyue Gong, Luke Geiser, Emily E. Fivekiller, Nam Bui, Tam Vu, Temiloluwa Prioleau, Gregory P. Forlenza, Qiang Liu, Xia Zhou

Scientific Reports 2025

My Pillow Knows My Sleep: Sleep Monitoring with Computational Fabrics in the Pillowcase

Qijia Shao, Junxiao Chen, Ho Man Colman Leung, Meiqi Zhao, Ruoyu Xu, Jiting Liu, Lisa Maria DiSalvo García, Xiaofan Jiang, Marie-Pierre St-Onge, Xia Zhou

IMWUT 2025

Fabric Sensing of Intrinsic Hand Muscle Activity

Katelyn Lee, Runsheng Wang, Ava Chen, Lauren Winterbottom, Ho Man Colman Leung, Lisa Maria DiSalvo, Iris Xu, Jingxi Xu, Dawn M. Nilsen, Joel Stein, Xia Zhou, Matei Ciocarlie

ICORR 2025

2024

Joey: Supporting Kangaroo Mother Care with Computational Fabrics

Qijia Shao, Jiting Liu, Emily Bejerano, Ho Man Colman Leung, Jingping Nie, Xiaofan Jiang, Xia Zhou

MobiSys 2024

2023

Noninvasive Glucose Sensing In Vivo

Ho Man Colman Leung, Gregory P. Forlenza, Temiloluwa O. Prioleau, Xia Zhou

Sensors 2023 · Review

Preliminary Accuracy Analysis of a Noninvasive Optical Glucose Sensing Prototype

Luke Geiser, Ho Man Colman Leung, Cari Berget, Chengyue Gong, Qiang Liu, Xia Zhou, Gregory P. Forlenza

Diabetes 2023 · Abstract presented at ADA 2023

2022

A Portable Solution to Noninvasive Glucose Sensing with Light

Ho Man Colman Leung, Tianxing Li, Temiloluwa Prioleau, Tam Vu, Gregory Forlenza, Xia Zhou

UbiComp 2022 · Poster

2018

TwistIn: Tangible Authentication of Smart Devices via Motion Co-analysis with a Smartwatch

Ho Man Colman Leung, Chi-Wing Fu, Pheng-Ann Heng

IMWUT 2018 · Presented at UbiComp 2018

2016

Stereoscopic Three-Dimensional Visualization for Immersive and Intuitive Anatomy Learning

Kup-Sze Choi, Shu-Ting Chan, Ho Man Colman Leung, Yim-Pan Chui

T4E 2016

Experience

2020– present

PhD Researcher, Mobile X Lab

Columbia University · Dartmouth College

Design custom sensors and circuit boards, build signal-processing and ML pipelines, and run human-subject studies from lab pilots to a 363-day home deployment (see Research).

2018– 2020

Research Associate

Department of Computer Science and Engineering, The Chinese University of Hong Kong

Built a robust multi-camera, multi-object 6DoF real-time tracking system for medical simulators, accelerated to over 60 fps with CUDA parallelization and pipelined execution.

2015– 2018

MPhil Researcher

Department of Computer Science and Engineering, The Chinese University of Hong Kong

Created TwistIn, which authenticates a smart device by matching its twist to the user's smartwatch motion (IMWUT 2018).

2012– 2015

Software Engineer

Dracaena Life Technologies Co., Ltd., Hong Kong

Built medical training simulators: , a stereoscopic 3D anatomy tool deployed at the PolyU School of Nursing (paper), plus a trainer and an trainer.

Education

2020– 2027

PhD in Computer Science

Columbia University · expected May 2027

Advisor: Prof. Xia Zhou. Began at Dartmouth College (2020 – 2022) and moved to Columbia with the lab.

2015– 2018

MPhil in Computer Science and Engineering

The Chinese University of Hong Kong

Advisors: Prof. Chi-Wing Fu and Prof. Pheng-Ann Heng · Thesis

2009– 2012

BSc in Computer Science

The Chinese University of Hong Kong

Teaching & Service

Teaching & Mentoring

  • Teaching Assistant, Computer Networks
    Columbia University (CSEE4119) and Dartmouth College (CS60)
    2021 – 2025
  • Research Mentor, Mobile X Lab
    Co-mentored 4 undergraduate students on lab research projects, Columbia University
  • Teaching Assistant and Project Tutor
    Computer Graphics, Java and final-year projects, The Chinese University of Hong Kong · Certificate of Merit
    2015 – 2017

Service & Outreach

  • Co-organizer & Technical Instructor, You(th)Fab
    Co-organized a NYSCA-funded program teaching high school students digital fabrication, and taught CAD for 3D printing and laser cutting.
    Summer 2026
  • Gave feedback on personal statements and CVs for prospective PhD applicants.
    2023 – 2025
  • Reviewer
    ACM IMWUT, ACM MobiSys

Skills

Hardware
Sensor design and characterization, e-textiles, PCB design (KiCad, EasyEDA), MCUs (STM32, ESP32, Arduino), SMD soldering, CAD (Fusion, SolidWorks), 3D printing
Data & ML
Biosignal processing, motion-artifact filtering, time-series ML (PyTorch, scikit-learn, SciPy), OpenCV
Study Design
Human-subject studies, from lab pilots to multi-month home deployments
Programming
Python, C/C++, C#, Java, MATLAB, CUDA, OpenGL, Unity, Android, iOS, Git, Linux
Design
Adobe Photoshop, Illustrator, InDesign, Premiere Pro, After Effects
Languages
Cantonese (native), English (fluent), Mandarin, Spanish (beginner)

Outside the Lab

Dragon boat with 852 Speedboat in New York and Woof Dragon in Hong Kong, badminton, piano, cello and graphic design. I love designing things, from posters, logos, booklets and yearbooks for school and university groups to the occasional freelance project.