Chang-hee (Andy) Won is a professor in the Department of Electrical and Computer Engineering and the director of Control, Sensor, Network, and Perception (CSNAP) Laboratory at Temple University. Previous to coming to academia, he worked at Electronics and Telecommunications Research Institute as a senior research engineer. Currently, he is actively guiding various research projects funded by the National Science Foundation, Pennsylvania Department of Health, and the Department of Defense. He published over 120 peer-reviewed articles and received multi-million dollars of research funding as a principal investigator from industry, state, and federal funding sources. He is a frequent reviewer for the National Science Foundation review panels and sits on National Institute of Health Biomedical Imaging Study Section. His research interests include tactile sensing, optimal control theory, spectral imaging, sensors, and dynamic sensing systems.


Research Interests

  • Tactile Sensors
  • Optimal Control Theory
  • Spectral Imaging
  • Dynamic Sensing

Courses Taught




ECE 3412

Classical Control Systems


ECE 5412

Control System Analysis


ECE 8110

Special Topics: Tactile Sensing Systems & Scientific Writing


ECE 8110

Special Topics in Electrical and Computer Engineering


ECE 8412

Optimal and Robust Control


Selected Publications

  • Kim, C., Hwang, S., Park, E., Won, C., & Lee, J. (2021). Computer-Aided Diagnosis Algorithm for Classification of Malignant Melanoma Using Deep Neural Networks. Sensors (Basel), 21(16). Switzerland. doi: 10.3390/s21165551

  • Won, C.H., Lee, J.H., & Saleheen, F. (2021). Tactile Sensing Systems for Tumor Characterization: A Review. IEEE Sensors Journal, 21(11), pp. 12578-12588. doi: 10.1109/JSEN.2021.3078369

  • Choi, S., Oleksyuk, V., Caroline, D., Pascarella, S., Kendzierski, R., & Won, C. (2020). Breast Tumor Malignancy Classification using Smartphone Compression-induced Sensing System and Deformation Index Ratio. Annu Int Conf IEEE Eng Med Biol Soc, 2020, pp. 6082-6085. United States. doi: 10.1109/EMBC44109.2020.9176636

  • Saleheen, F. & Won, C.H. (2019). Statistical Stackelberg game control: Open-loop minimal cost variance case. Automatica, 101, pp. 338-344. doi: 10.1016/j.automatica.2018.12.015

  • Zhang, S., Gu, Y., Won, C.H., & Zhang, Y.D. (2018). Dimension-reduced radio astronomical imaging based on sparse reconstruction. Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop, 2018-July, pp. 470-474. doi: 10.1109/SAM.2018.8448615

  • Saleheen, F., Goldstein, J., Rajan, R., Caroline, D., Pascarella, S., & Won, C. (2018). Smartphone-based Compression-Induced Scope with Temperature Sensor for Inflammatory Breast Cancer Screening. Annu Int Conf IEEE Eng Med Biol Soc, 2018, pp. 4969-4972. United States. doi: 10.1109/EMBC.2018.8513437

  • Oleksyuk, V., Rajan, R., Saleheen, F., Caroline, D.F., Pascarella, S., & Won, C.H. (2018). Risk score based pre-screening of breast tumor using compression induced sensing system. IEEE Sensors Journal, 18(10), pp. 4038-4045. doi: 10.1109/JSEN.2018.2817883

  • Saleheen, F., Wang, Z., Picone, J., Butz, B.P., & Won, C.H. (2018). Efficacy of a virtual teaching assistant in an open laboratory environment for electric circuits. Advances in Engineering Education, 6(3), pp. 1-27.

  • Saleheen, F., Oleksyuk, V., & Won, C.H. (2018). Itchy skin region detection using hyperspectral imaging. Proceedings of SPIE - the International Society for Optical Engineering, 10656. doi: 10.1117/12.2305147