Narrative CV

謝東翰任職於本院應科中心之研究技師，專精的項目為計算物理、高速電腦系統建置、與資訊系統維護。他的研究興趣聚焦於生醫影像處理與機器學習，同時也致力於推動該領域的知識和創新。他是台大物理系博士，並已在相關領域的研究計畫中作出貢獻。

他已為應科中心建置了一套高速計算系統，其已應用在本中心與合作者從事第一原理計算以及機器學習等項目，對本中心的研究有顯著貢獻。

他與楊富量老師合作，開發了Deduction Learning模型，應用在非侵入式血糖、與無袖帶血壓的量測與估計。作為一個指導老師，他指導了一位博士班學生，將其培養成機器學習新人才。他也曾經審查過國科會研究計畫，同時也是 Diagnostics、Photonics、以及 Sensors (MDPI) 等國際期刊的審稿員。他也在去年本中心主辦的 OPTIC2024 國際研討會中擔任後台系統開發工作，協助舉辦該國際研討會。

他的研究方向將會以機器學習深入生醫影像處理為目標，並且加強跨領域的合作。他將致力於將學術發現轉化為現實世界的應用，確保對學術界和社會產生持久影響。

Education

• Ph.D. Physics Department, National Taiwan University, 2002
• B.S. Physics Department, National Taiwan University, 1996

Positions and Career

• 中央研究院應用科學研究中心研究技師 (2020 – )
• 中央研究院應用科學研究中心研究副技師 (2016 – 2020)
• 中央研究院應用科學研究中心研究助技師 (2006 – 2015)
• 國立聯合大學通識教育中心物理組助理教授 (2005 – 2006)
• 國立台灣大學物理系博士後研究 (2002 – 2005)

Honors and Awards

• 2023 第十九屆國家新創獎（學研新創組）
• 2005 中華民國物理學會最佳博士論文獎

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.

• Bitewulign Kassa Mekonne, Wei-Ru Lu, Tung-Han Hsieh, Justin Chu and Fu-Liang Yang, “Accurate and 30-plus days reliable cuffless blood pressure measurements with 9-minutes personal photoplethysmograph data and mixed deduction learning”, Scientific Reports 14, 23722 (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.
• 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.
• 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).