Bioinformatics & Biomedical Engineering
Research Field
Fang Rong Hsu received a Ph.D. in Computer Science from the National Chiao-Tung University, Hsinchu, Taiwan, in 1992. He is a professor and was the chairperson in the Department of Information Engineering and Computer Science at Feng-Chia University, Taiwan. He was the Chairperson and a Professor of the Department of Bioinformatics, at Asia University (2003-2004). He was the Chairperson and a Professor of the Department of Information Technology, at Asia University (2002-2003). He was an associate professor and a professor at Providence University (1994-2002). His current research interests include AI, biomedical image processing, cloud computing, and graph algorithms.
Bioinformatics & Biomedical Engineering Lab recently focused on applying AI technology to solve biomedical problems. The project leader has been engaged in relevant research with various medical institutions in the central region for an extended period. Current partners in the collaboration include the National Health Research Institutes (NHRI), Taichung Veterans General Hospital, Changhua Show Chwan Memorial Hospital, Changhua Christian Hospital, and China Medical University Hospital. Foreign students coming to Taiwan will focus on the application of artificial intelligence in precision medicine as the main theme of their study.
- application of artificial intelligence in precision medicine
- GAI: code generation
- Medical image processing using deep learning
- 3D Zebrafish behavior tracking using using deep learning
International Conference on Emerging Industry and Health Promotion 2021, Best Paper Award
Ministry of Education - ICT Software Innovation Talent Promotion Program (Category A) (Smart Terminals and Human-Computer Interaction) - Outstanding Unit of the Year 2017
Ministry of Education - ICT Software Innovation Talent Promotion Program (Category A) (Smart Terminals and Human-Computer Interaction) - Outstanding Unit of the Year 2016
Industrial Development Bureau, Ministry of Economic Affairs - Industry Talent Rooting Program, Outstanding Team of the Year 2016
Linux Golden Penguin Prize 2005
NSC Outstanding Research Group 2005
NSC Category-A Research Award, 1998 ~ 1999
Providence University, Outstanding Teacher, 1997
Ph.D. D. Dep. Of Computer Science & Information Engineering, National Chiao-Tung University, Taiwan, 1992
Job Description
This is a collaborative project between Feng Chia University and NHRI.
Work at NHRI. https://iben.nhri.edu.tw/
Preferred Intern Educational Level
University seniors and above
Skill sets or Qualities
Recommended Fields and Required Skills:
- Biomedical Engineering: Principles of biomedical optics, microcirculation physiology, and clinical wound care trials.
- Physics / Optics: Principles of Laser Speckle Imaging, multispectral image acquisition, and optical system design and calibration.
- Electrical / Electronic Engineering: Embedded system development, sensor circuit design, signal processing, and data acquisition.
- Mechanical Engineering: Optomechanical structural design, 3D modeling and drafting, portable device mechanism development, and thermal design.
- Computer Science / Artificial Intelligence: Python programming, deep learning frameworks, image segmentation, and object detection.
Job Description
This is a collaborative project between Feng Chia University and NHRI.
Work at NHRI. https://iben.nhri.edu.tw/
Preferred Intern Educational Level
University seniors and above.
Skill sets or Qualities
Recommended Fields and Required Skills:
- Biosafety and Biomedical Engineering: BSL-3 laboratory regulations (SOPs), biorisk management, and biomedical signal processing.
- Physics and Sensing Technology: Acoustic sensor deployment, multimodal signal fusion, and acoustic feature extraction.
- Electrical and Electronic Engineering: Edge AI device development and Artificial Intelligence of Things (AIoT) architecture design.
- Computer Science and AI: Deep learning frameworks (PyTorch/TensorFlow), computer vision (object detection, action recognition), Convolutional Neural Networks (CNN), and time-series analysis.