Ming-Chun Huang, PhD, MS, BS

Assistant Professor
Department of Electrical Engineering and Computer Science
Case School of Engineering

Researches directions in mobile health, wearable sensor technologies, deep learning on mobile platforms and IoT.

 

Teaching Information

Teaching Interests

Mobile Health, Mobile Computing, and Sensor Network, Computer Architecture, GPU Architecture and Scientific Computing

Research Information

Research Interests

Dr. Huang aims to create novel devices and analytical algorithms that oer enhanced functionality and performance over conventional tools and technologies in terms of portability, rapid analysis time, and user-friendly operation. His research and education vision is to explore and share creative solutions to address current and emerging challenges facing our society in the 21st century including wearables as biomarkers in clinical development, workplace and community-based medical and health services improvement. For the nature of richness and high-impact of the topics involved, his research will immediately generate a plethora of new knowledge in aspects ranging from innovative sensing technology, advanced data analytics methodology, and optimized clinical decision-making and risk assessment.

Affiliated School Research Areas

Big Data and Digital Solutions

Smart Systems and Cities

Affiliated Department Research Areas

Connected Devices and Systems, Wearables and Wireless Health

Artificial Intelligence and Machine Learning

Awards and Honors

Data Challenge Winning Team
2018
Body Sensor Networks Conference

External Appointments

Faculty Director, Mobile Health Laboratory (mHealth@CWRU)

Faculty Director, Sensing and Interaction Laboratory (SAIL@CWRU)

Publications

Chen, D., Cai, Y., & Huang, M. (2018). Customizable Pressure Sensor Array: Design and Evaluation. IEEE Sensors Journal, 18 (15), 6337-6344.

Chen, D., Cai, Y., Cui, J., Chen, J., Jiang, H., & Huang, M. (2018). Risk factors identification and visualization for work-related musculoskeletal disorders with wearable and connected gait analytics system and kinect skeleton models. Smart Health, ().

Cai, Y., Guo, Y., Jiang, H., & Huang, M. (2018). Machine-learning approaches for recognizing muscle activities involved in facial expressions captured by multi-channels surface electromyogram. Smart Health, 6-May (), 15-25.

Feng, Z., Rafique, S., Cai, Y., Han, L., Huang, M., & Zhao, H. (2018). ZnO Nanowall Networks for Sensor Devices: From Hydrothermal Synthesis to Device Demonstration. ECS Journal of Solid State Science and Technology, 7 (7), Q3114-Q3119.

Cui, J., Chen, J., Qu, G., Starkman, J., Zeng, X., Madigan, E., ... Huang, M. (2017). Wearable Gait Lab System providing quantitative statistical support for human balance tests. Smart Health, ().

Huang, M., Liu, J., Xu, W., Gu, C., Li, C., & Sarrafzadeh, M. (2016). A Self-Calibrating Radar Sensor System for Measuring Vital Signs. IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, 10 (2), 352-363.

Xu, X., Lin, F., Wang, A., Zhu, Y., Huang, M., & Xu, W. (2016). Body-Earth Mover's Distance: A Matching-Based Approach for Sleep Posture Recognition. IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, 10 (5), 1023-1035.

Liu, M., Jiang, H., Chen, J., & Huang, M. (2016). Tidal Volume Estimation Using Portable Ultrasound Imaging System. IEEE SENSORS JOURNAL, 16 (24), 9014-9020.

Wu, Y., Xu, W., Liu, J., Huang, M., Luan, S., & Lee, Y. (2015). An Energy-Efficient Adaptive Sensing Framework for Gait Monitoring Using Smart Insole. IEEE SENSORS JOURNAL, 15 (4), 2335-2343.

Liu, M., & Huang, M. (2015). Asthma Pattern Identification via Continuous Diaphragm Motion Monitoring. Multi-Scale Computing Systems, IEEE Transactions on, 1 (2), 76–84.

Liu, J., Huang, M., Xu, W., Zhang, X., Stevens, L., Alshurafa, N., ... Sarrafzadeh, M. (2015). BreathSens: A Continuous On-Bed Respiratory Monitoring System With Torso Localization Using an Unobtrusive Pressure Sensing Array. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 19 (5), 1682-1688.

Lee, Y., Huang, M., Zhang, X., & Xu, W. (2015). FridgeNet: A Nutrition and Social Activity Promotion Platform for Aging Populations. IEEE INTELLIGENT SYSTEMS, 30 (4), 23-30.

Huang, M. (2014). Sensor Analytics for Healthcare Improvement. , ().

Alshurafa, N., Xu, W., Liu, J., Huang, M., Mortazavi, B., Roberts, C., ... Sarrafzadeh, M. (2014). Designing a Robust Activity Recognition Framework for Health and Exergaming Using Wearable Sensors. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 18 (5), 1636-1646.

Liu, J., Xu, W., Huang, M., Alshurafa, N., Sarrafzadeh, M., Raut, N., ... Yadegar, B. (2014). Sleep posture analysis using a dense pressure sensitive bedsheet. Pervasive and Mobile Computing, 10 (), 34–50.
 

Huang, M., Lee, S., Yeh, S., Chan, R., Rizzo, A., Xu, W., ... Lin Shan-Hui (2014). Intelligent Frozen Shoulder Rehabilitation. IEEE INTELLIGENT SYSTEMS, 29 (3), 22-28.

Samy, L., Huang, M., Liu, J., Xu, W., & Sarrafzadeh, M. (2014). Unobtrusive sleep stage identification using a pressure-sensitive bed sheet. Sensors Journal, IEEE, 14 (7), 2092–2101.

Yeh, S., Huang, M., Wang, P., Fang, T., Su, M., Tsai, P., ... Rizzo, A. (2014). Machine learning-based assessment tool for imbalance and vestibular dysfunction with virtual reality rehabilitation system. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 116 (3), 311-318.

Huang, M., Liu, J., Xu, W., Alshurafa, N., Zhang, X., & Sarrafzadeh, M. (2014). Using pressure map sequences for recognition of on bed rehabilitation exercises. Biomedical and Health Informatics, IEEE Journal of, 18 (2), 411–418.

Samy, L., Huang, M., Liu, J., Xu, W., & Sarrafzadeh, M. (2014). Unobtrusive Sleep Stage Identification Using a Pressure-Sensitive Bed Sheet. IEEE SENSORS JOURNAL, 14 (7), 2092-2101.

Huang, M., Liu, J., Xu, W., Alshurafa, N., Zhang, X., & Sarrafzadeh, M. (2014). Using Pressure Map Sequences for Recognition of On Bed Rehabilitation Exercises. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 18 (2), 411-418.

Alshurafa, N., Xu, W., Liu, J., Huang, M., Mortazavi, B., Roberts, C., ... Sarrafzadeh, M. (2014). Designing a robust activity recognition framework for health and exergaming using wearable sensors. Biomedical and Health Informatics, IEEE Journal of, 18 (5), 1636–1646.

Huang, M., Lee, S., Yeh, S., Chan, R., Rizzo, A., Xu, W., ... Shan-Hui, L. (2014). Intelligent Frozen Shoulder Rehabilitation. Intelligent Systems, IEEE, 29 (3), 22–28.

Yeh, S., Huang, M., Wang, P., Fang, T., Su, M., Tsai, P., ... Rizzo, A. (2014). Machine learning-based assessment tool for imbalance and vestibular dysfunction with virtual reality rehabilitation system. Computer methods and programs in biomedicine, 116 (3), 311–318.

Xu, W., Huang, M., Amini, N., He, L., & Sarrafzadeh, M. (2013). ecushion: A textile pressure sensor array design and calibration for sitting posture analysis. Sensors Journal, IEEE, 13 (10), 3926–3934.

Lindblom, J., Huang, M., Burke, J., & Zhang, L. (2013). FileSync/NDN: Peer-to-peer file sync over Named Data Networking. NDN, TR, 12 ().

Xu, W., Huang, M., Amini, N., He, L., & Sarrafzadeh, M. (2013). eCushion: A Textile Pressure Sensor Array Design and Calibration for Sitting Posture Analysis. IEEE SENSORS JOURNAL, 13 (10), 3926-3934.

Lillehoj, P., Huang, M., Truong, N., & Ho, C. (2013). Rapid electrochemical detection on a mobile phone. Lab on a Chip, 13 (15), 2950–2955.

Lillehoj, P., Huang, M., Truong, N., & Ho, C. (2013). Rapid electrochemical detection on a mobile phone. LAB ON A CHIP, 13 (15), 2950-2955.

Huang, M., Yeh, S., Chen, S., Wang, P., Su, M., Hung, Y., ... Rizzo, A. (2011). Evaluate Virtual Reality Game-based Treatment for Patients with Imbalance and Vestibular Dysfunction. , ().

Education

PhD
Computer Science
University of California, Los Angeles
2014
MS
Electrical Engineering
University of Southern California
2010
BS
Electrical Engineering
National Tsing Hua University
2007