Ho Man Colman Leung

Address
Computer Science Department
500 West 120 Street, Room 450
New York, NY 10027
United States
E-mail

About Me

I am a CS PhD candidate at Columbia University, working with Prof. Xia Zhou at the Mobile X Lab.

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

My research focuses on physiological sensing for health and human-computer interaction applications. Guided by physical principles and natural phenomena, I carefully design sensors to capture high-quality signals and develop computational pipelines to extract meaningful biomarkers. Through hardware–software co-design, I integrate novel sensors, ubiquitous computing, and aesthetics into robust and reliable systems.

Education

2020 - May 2027 (expected)

Ph.D. in Computer Science

Columbia University

Advisor: Prof. Xia Zhou
Began at Dartmouth College (2020 - 2022) and transferred to Columbia with my advisor's lab.

2015 - 2018

M.Phil. in Computer Science

The Chinese University of Hong Kong

Supervisors: Prof. Chi-Wing Fu, Prof. Pheng-Ann Heng
Thesis

2009 - 2012

B.Sc. in Computer Science

The Chinese University of Hong Kong

Publications

Continuous Electrocardiogram Monitoring with a Loose T-Shirt

Ho Man Colman Leung, Kyle Tong, Ming Gong, Nam Bui, Xia Zhou
Hot Topics in Mobile and Wireless Systems for Health (MobiDx '26). ACM, 2026.

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 15.1 (2025): 8877.

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
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 9.3 (2025): 1-26.

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
2025 International Conference On Rehabilitation Robotics (ICORR). IEEE, 2025.

Joey: supporting kangaroo mother care with computational fabrics

Qijia Shao, Jiting Liu, Emily Bejerano, Ho Man Colman Leung, Jingping Nie, Xiaofan Jiang, Xia Zhou
Proceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services. 2024.

Noninvasive glucose sensing in vivo

Ho Man Colman LEUNG, Gregory P Forlenza, Temiloluwa O Prioleau, Xia Zhou
Sensors 23.16 (2023): 7057.

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 72.Supplement_1 (2023): 119-LB.
Presented in ADA 2023.

A Portable Solution to Noninvasive Glucose Sensing with Light

Ho Man Colman Leung, Tianxing Li, Temiloluwa Prioleau, Tam Vu, Gregory Forlenza, Xia Zhou
Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers. 2022.
Presented in UBICOMP 2022.

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

Ho Man Colman Leung, Chi-Wing Fu, and Pheng-Ann Heng
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2.2 (2018): 72.
Presented in UBICOMP 2018.

Stereoscopic Three-Dimensional Visualization for Immersive and Intuitive Anatomy Learning

Kup-Sze Choi, Shu-Ting Chan, Ho Man Colman Leung, and Yim-Pan Chui
IEEE International Conference on Technology for Education (T4E 2016).

Work Experience

2018 - 2020

Research Associate

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

Developed a robust multi-camera, multi-object 6DoF real-time tracking system for medical simulators, with performance boosted through CUDA parallelization and pipelined execution.

2012 - 2015

Software Engineer

Dracaena Life Technologies Co., Ltd., Hong Kong

  • Designed an anatomy visualization tool with stereoscopic 3D and Leap Motion mid-air gestures for immersive learning; deployed at PolyU School of Nursing with positive user study results (link).
  • Virtual Acupuncture

    Developed a Traditional Chinese Acupuncture Simulation System by extending an Interventional Sonography Trainer, adding rotary encoders and Arduino-based sensors to capture needle rotation.
  • Interventional Sonography Training System

    Implemented stereoscopic rendering and head tracking 3D simulation using Kinect.

Service & Outreach

Co-organizer & Technical Instructor, You(th)Fab • Summer 2026
  • Co-organized a NYSCA-funded initiative teaching digital fabrication to high school students.
  • Taught CAD for 3D printing and laser cutting.
Volunteer Mentor, Columbia PhD Application Support (PAR) • 2023 - 2025
  • Gave feedback on personal statements and CVs for prospective PhD applicants to Columbia University.
Technical Reviewer, ACM IMWUT, ACM MobiSys

Teaching

Columbia University

CSEE4119 - Computer Networks, Teaching Assistant • Spring 2024 & Spring 2025

Dartmouth College

CS 60 - Computer Networks, Teaching Assistant • Spring 2021

The Chinese University of Hong Kong

Final Year Project Tutor • Fall 2016 - Spring 2017
CSCI3260 - Principle of Computer Graphics, Teaching Assistant (Certificate of Merit) • Spring 2016
CSCI1130 - Introduction to Computing using Java, Teaching Assistant • Fall 2015

Skills

Hardware

Sensor design and characterization, PCB design (KiCad, EasyEDA), SMD soldering, embedded systems (STM32, ESP32, Arduino), CAD (Autodesk Fusion, SolidWorks), 3D printing, e-textiles and embroidery

Data & Machine Learning

Biosignal processing, motion-artifact filtering, time-series ML (PyTorch, TensorFlow, scikit-learn, NumPy, SciPy), OpenCV

Study Design

Human-subject studies, from lab pilots to multi-month home deployments

Programming

Python, C/C++, C#, Java, Objective-C, MATLAB, GLSL, CUDA, OpenGL, Unity, iOS, Android, Git, Linux

Digital Design

Adobe Creative Suite (Photoshop, Illustrator, InDesign, Premiere Pro, After Effects)

Spoken Languages

Cantonese (native), English (fluent), Mandarin, Spanish (beginner)

Interests

Sports - Badminton, Dragon Boat (NYC: 852 Speedboat, HK: Woof Dragon)
Music - Piano, Cello
Arts - Graphic Design [view portfolio]