Tung-Han Hsieh
Research Specialist
Tung-Han Hsieh
(Page on Web of Science)
thhsiehgate.sinica.edu.tw
02-2787-3181
ID
E-1740-2011
Tung-Han Hsieh
Research Specialist
Research Interests
- Machine learning
- Biomedical image processing and signal analysis
- Computational physics
- Development and maintenance of highperformance computing facilities
- Lattice QCD computation
Education
- Ph.D. Physics Department, National Taiwan University, 2002
- B.S. Physics Department, National Taiwan University, 1996
Positions and Career
- Research Specialist, Research Center for Applied Sciences, Academia Sinica (2020 – present)
- Associate Research Specialist, Research Center for Applied Sciences, Academia Sinica (2016 – 2020)
- Assistant Research Specialist, Research Center for Applied Sciences, Academia Sinica (2006 – 2015)
- Assistant Professor, Physics Division, Commission of General Education, National United University (2005 – 2006)
- Postdoctoral fellow, Physics Department, National Taiwan University (2002 – 2005)
Honors and Awards
- 2023 19th National Innovation Award in the Academic Research Category
- 2005 The Excellent Ph. D. Thesis Award of the Physical Society of the Republic of China
Selected Publications
- Dao-Ming Chang, Heng-Hua Hsu, Ping-Liang Ko, Wei-Jen Chang, Tung-Han Hsieh, Hsiao-Mei Wu, and Yi-Chung Tung, “Rapid time-lapse 3D oxygen tension measurements within hydrogels using widefield frequency-domain fluorescence lifetime imaging microscopy (FD-FLIM) and image segmentation”, Analyst 149, 1727 (2024).
- Wei-Ru Lu, Wen-Tse Yang, Justin Chu, Tung-Han Hsieh, and Fu-Liang Yang, “Deduction learning for precise noninvasive measurements of blood glucose with a dozen rounds of data for model training”, Sci. Rep. 12, 6506 (2022).
- Wei-Che Huang, Chin-Dian Wei, Shimshon Belkin, Tung-Han Hsieh, and Ji-Yen Cheng, “Machine-learning assisted antibiotic detection and categorization using a bacterial sensor array”, Sensors and Actuators B: Chemical, 355 (2022) 131257.
- Justin Chu, Wen-Tse Yang, Wei-Ru Lu, Yao-Ting Chang, Tung-Han Hsieh, and Fu-Liang Yang, “90% Accuracy for Photoplethysmography-Based Non-Invasive Blood Glucose Prediction by Deep Learning with Cohort Arrangement and Quarterly Measured HbA1c”, Sensors 2021, 21(23), 7815.
- Bitewulign Kassa Mekonnen, Tung-Han Hsieh, Dian-Fu Tsai, Shien-Kuei Liaw, Fu-Liang Yang, and Sheng-Lung Huang, “Generation of Augmented Capillary Network Optical Coherence Tomography Image Data of Human Skin for Deep Learning and Capillary Segmentation”, Diagnostics 2021, 11(4), 685.
- Hsiao-Mei Wu, Tse-Ang Lee, Ping-Liang Ko, Wei-Hao Liao, Tung-Han Hsieh, and Yi-Chung Tung, “Widefield frequency domain fluorescence lifetime imaging microscopy (FD-FLIM) for accurate measurement of oxygen gradients within microfluidic devices”, Analyst, 2019, 144, 3494.
- Hsien-San Hou, Kuang-Li Lee, Chen-Hung Wang, Tung- Han Hsieh, Juan-Jie Sun, Pei-Kuen Wei, and Ji-Yen Cheng, “Simultaneous assessment of cell morphology and adhesion using aluminum nanoslit-based plasmonic biosensing chips”, Sci. Rep. 9, 7204 (2019).
- Wing Kiu Yeung, Huai-Yi Chen, Juan-Jie Sun, Tung-Han Hsieh, Mansoureh Z. Mousavi, Hsi-Hsien Chen, Kuang-Li Lee, Heng Lin, Pei-Kuen Wei, and Ji-Yen Cheng, “Multiplex detection of urinary miRNA biomarkers by transmission surface plasmon resonance”, Analyst, 2018, 143, 4715.