overview
My areas of research are highly interdisciplinary and include automated assembly system design, control, integration, diagnosis, and preventative maintenance; optical and infrared imaging for product/process characterization and failure prediction; micro/nano manufacturing; and design of technology for automation and robotics education.
education and training
- Ph.D. in Industrial Engineering, Texas Tech University - (Lubbock, Texas, United States) 1995
- M.S. in Industrial Engineering, St. Mary's University, Texas - (San Antonio, Texas, United States) 1989
- B.S. in Industrial Engineering, National Taipei University of Technology - (Taipei, Taiwan) 1982
selected publications
Academic Articles69
- Wang, J., Ruilova, M., & Hsieh, S. (2022). A web-based platform for automated vat photopolymerization additive manufacturing process. The International Journal of Advanced Manufacturing Technology. 119(3-4), 2721-2742.
- Hsieh, S., Wang, A. R., Madison, A., Tossell, C., & de Visser, E. (2022). Adaptive Driving Assistant Model (ADAM) for Advising Drivers of Autonomous Vehicles. ACM Transactions on Interactive Intelligent Systems. 12(3), 1-28.
- Shi, X., Hsieh, S., & Romero, R. (2021). FEA and Machine Learning Techniques for Hidden Structure Analysis.. Sensors (Basel). 21(15), 5159-5159.
- Miao, G., Hsieh, S., Segura, J. A., & Wang, J. (2019). Cyber-physical system for thermal stress prevention in 3D printing process. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY. 100(1-4), 553-567.
- Zhou, X., Hsieh, S., & Wang, J. (2019). Accelerating extrusion-based additive manufacturing optimization processes with surrogate-based multi-fidelity models. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY. 103(9-12), 4071-4083.
Conference Papers121
- Hsieh, S. (2021). Design and Evaluation of Collaborative Lab for Robot Programming. 2021 ASEE Virtual Annual Conference Content Access Proceedings, 2021 ASEE Virtual Annual Conference Content Access Proceedings.
- Shi, X., & Hsieh, S. (2021). Infrared imaging and machine learning techniques for plant root location and depth prediction. THERMOSENSE: THERMAL INFRARED APPLICATIONS XLIII, Thermosense: Thermal Infrared Applications XLIII. 11743, 1174303-1174303-14.
- Hsieh, S. (2020). Remotely Accessible 3-D Printer for Teaching CNC Programming: Lessons Learned. 2020 ASEE Virtual Annual Conference Content Access Proceedings, 2020 ASEE Virtual Annual Conference Content Access Proceedings.
Reports1
researcher on
Principal Investigator7
awards and honors
- Faculty Excellence in Teaching, Research, and Service Award conferred by Texas A&M University - (College Station, Texas, United States) - Department of Engineering Technology and Industrial Distribution 2014
recent teaching activities
- ENTC485 Directed Studies Instructor
- ENTC691 Research Instructor
- MEEN684 Professional Internship Instructor
- MEEN684 Professional Internship Instructor
- MEEN684 Professional Internship: In-ab Instructor
chaired theses and dissertations
- Li, Qinbo (2016-08). An Intelligent Tutoring System for Computer Numerical Control. (Master's Thesis)
- Chiou, Chung-Han (2016-05). Understanding and Prediction of Liquids Retention on Commonly Used Plastics with Symmetrically Arranged Structure. (Doctoral Dissertation)
- Chen, Po-Chun (2014-05). Fabrication of Metal/Oxide Nanostructures by Anodization Processes for Biosensor, Drug Delivery and Supercapacitor Applications. (Doctoral Dissertation)
- Ramos, Jorge Adrian (2013-05). Development of a Robotic Device for the Physical Training of Human Upper Extremity. (Master's Thesis)
- Giron Palomares, Jose (2012-05). Understanding, Modeling and Predicting Hidden Solder Joint Shape Using Active Thermography. (Doctoral Dissertation)
Email
hsieh@tamu.edu
First Name
Sheng-Jen
Last Name
Hsieh
mailing address
Texas A&M University; Engineering Technology; 3367 TAMU
College Station, TX 77843-3367
USA