Narrative CV

Dr. Fu-Liang Yang is a Distinguished Research Fellow/Professor specializing in Non-invasive Blood Glucose (NIBG) Measurements via Photoplethysmography. His research interest on physical treatments of cardio/cerebral vascular diseases has been ceased simply due to exclusive technology transfer. He obtained my PhD Degree from University of Cambridge and before 2013 have contributed as TSMC 5nm CMOS exploratory program manager and director general of National Nano Device laboratories.

His major research achievements and impacts are

1. 2024 National Innovation Award: A Novel Earbud-Type Multifunctional Physiological Device Comprising Blood Pressure Measurement for Smart Home Healthcare Applications, non-exclusive technology transfer in process
2. 2022 National Innovation Award: AI Deduction Learning Non-Invasive Blood Glucose Meter, non-exclusive technology transfer
3. 2020 National Innovation Award: Helix External Counter Pulsation System, exclusive technology transfer and spin off

The current iteration of NIBG technology developed by Fu-Liang, Yang and his team has been successfully applied on fasting blood glucose measurements but not well performed for post meal measurements. To overcome the challenges of post meal NIBG measurements, we will not only develop new AI algorithms, but also collaborate with Taipei Tzu Chi Hospital for ICU patients' data collection. First common interest with the hospital is detecting hypoglycemia.

Education

• Ph.D., Dept. of Materials Science and Metallurgy, University of Cambridge, UK, 1991–1994
• B.S., Dept. of Materials Science and Engineering, NTHU, Taiwan, R.O.C. 1985–1989

Positions and Career

• Distinguished Research Fellow/Professor Research Center for Applied Sciences, Academia Sinica (2013.08-Present)
• Director, Division of Intellectual Property and Technology Transfer, Academia Sinica (2013.08-2016.09)
• Distinguished Research Fellow, National Nano Device Laboratories(NDL), National Applied Research Laboratories(Narlabs) (2008.08-2013.08)
• Director General, National Nano Device Laboratories (2008.08-2013.05)
• TSMC, all in R&D Organization(2000.3-2008.7):
• Deputy Director, 2008,
• Department Manager, 2002
• TSMC Academician, TSMC Academy, 2004
• Section Manager, 2000
• Vanguard International Semiconductor Corporation(1994.12-2000.3):
• Section Manager, Dept. of Device Development, 1998
• Principal Integration Engineer, 1996
• Senior Process Engineer, 1994

Honors and Awards

Major Awards

• 2024 “A Novel Earbud-Type Multifunctional Physiological Device Comprising Blood Pressure Measurement for Smart Home Healthcare Applications” awarded National Innovation Award
• 2022 “AI Deduction Learning Non-Invasive Blood Glucose Meter” awarded National Innovation Award
• 2020 “Helix External Counter Pulsation System” awarded National Innovation Award
• 2012 “A Label-Free Method for the Rapid Identification of Rare-Pathogens from Human Blood (<5min)” awarded National Innovation Award
• 2004 TSMC Academician of TSMC Academy
• 2004 TSMC Innovation Award (for <100> boosted PMOS)
• 2004 TSMC Best Invention Disclosures Award(for an outstanding transistor structure invention)

Keynote Speeches in International Conferences/Forums

• 2023 “Optical Sensing for Non-invasive Blood Glucose Measurements via Machine Learning”International Workshop on Bio-medical and Optical Sensing, Taipei, Taiwan
• 2015 “Next Generation Blood Test Electronics for Home-Based Health Care” ISNE, Taipei, Taiwa
• 2012 “Exploratory Study of R-RAM Scaling beyond 10nm”, IEEE Non-Volatile Memory Technology Symposium, Singapore
• 2012 “Outlook for 10nm Generation CMOS Technology and Resistive Memory Device”, CNSI-NPNT-BETRC Joint Workshop, Taiwan

Organizational Committees of International Conferences/Forums

• 2022 Program Vice Chair of International Conference on Solid State Devices and Materials (SSDM, Japan)
• 2013-2021 Program Subcommittee Vice Chair of International Conference on Solid State Devices and Materials (SSDM, Japan)
• 2013 Symposium organizer of 10th Pacific Rim Conference on Ceramic and Glass Technology (PACRIM 10, San Diego, U.S.A.)
• 2010-2011 Technical Program subcommittee member of International Electron and Device Meeting (IEDM, U.S.A)
• 2011 Co-Chair of Frontier of Spintronics/Nanoelectronics workshop (Hsinchu, Taiwan)

Organizational Committee Membership

• 2009 and 2011, Review Committee member of Advance Memory Program by Science and Engineering Research Council (SERC), Singapore
• 2011-2021 Director of Nanotechnology and Micro System Association , Taiwan
• 2011.8-2014.12 Senior Advisor of National Program on Nano Technology
• 2016.5-present, consultant expert in the advisory panel of “the agricultural biotechnology research and development achievements link industry-university cooperation plan” of Department of Academia-Industry Collaboration and Science Park Affairs, Ministry of Science and Technology

Selected Publications

• Wei-Ru Lu, Wen-Tse Yang, Justin Chu, Tung-Han Hsieh & Fu- Liang Yang *. "Deduction learning for precise noninvasive measurements of blood glucose with a dozen rounds of data for model training" Scientific Reports volume 12, Article number: 6506 (2022), https://doi.org/10.1038/s41598-022-10360-3
• Chu, J.; Yang, W.-T.; Lu, W.-R.; Chang, Y.-T.; Hsieh, T.-H.; Yang, F.- L*. "90% Accuracy for Photoplethysmography-Based Non- Invasive Blood Glucose Prediction by Deep Learning with Cohort Arrangement and Quarterly Measured HbA1c." Sensors 2021, 21, 7815. https://doi.org/10.3390/s21237815
• Justin Chu, Wen-Tse Yang, Yao-Ting Chang* and Fu-Liang Yang* "Visual Reassessment with Flux Interval Plot Configuration after Automatic Classification for Accurate Atrial Fibrillation Detection by Photoplethysmography" Diagnostics 2022, 12, 1304. https:// doi.org/10.3390/diagnostics12061304
• Justin Chu, Wen-Tse Yang, Tung-Han Hsieh, Fu-Liang Yang*, Feb. 2021 "One-Minute Finger Pulsation Measurement for Diabetes Rapid Screening with 1.3% to 13% False-Negative Prediction Rate" Biomedical Statistics and Informatics 2021; 6(1): 6-13, DOI: 10.11648/j.bsi.20210601.12
• Bitewulign Kassa Mekonnen, Webb Yang, Tung-Han Hsieh, Shien-Kuei Liaw, and Fu-Liang Yang*, May. 2020 "Accurate Prediction of Glucose Concentration and Identification of Major Contributing Features from Hardly Distinguishable Near-Infrared Spectroscopy" Biomedical Signal Processing and Control, Volume 59. DOI: 10.1016/j.bspc.2020.101923
• 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; https://doi.org/10.3390/diagnostics11040685
• Yann-Wen Lan1*, Po-Chun Chen, Yun-Yan Lin, Ming-Yang Li, Lain- Jong Li, Yu-Ling Tu, Fu-Liang Yang, Min-Cheng Chen, Kai-Shin Li, Jan. 2019 "Scalable fabrication of a complementary logic inverter based on MoS2 fin-shaped field effect transistors" Nanoscale Horizons, DOI: 10.1039/C8NH00419F
• I-Fang Cheng, Hsien-Chang Chang, Tzu-Ying Chen, Chenming Hu, Fu-Liang Yang, Aug. 2013, "Rapid (<5min) Identification of Pathogen in Human Blood by Electrokinetic Concentration and Surface-Enhanced Raman Spectroscopy", Scientific Reports, 2365(3),1-8. DOI: 10.1038/srep02365(SCI) (IF: 2.927; SCI ranking: 15.1%)

• Bitewulign Kassa Mekonnen, Wei‐Ru Lu, Tung‐Han Hsieh, Justin Chu, & 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 volume 14, Article number: 23722 (2024). https://doi.org/10.1038/s41598-024-75583-y
• Wei‐Ru Lu, Wen‐Tse Yang, Justin Chu, Tung‐Han Hsieh & Fu‐Liang Yang *. “Deduction learning for precise noninvasive measurements of blood glucose with a dozen rounds of data for model training” Scientific Reports volume 12, Article number: 6506 (2022), https://doi.org/10.1038/s41598-022-10360-3
• Chu, J.; Yang, W.-T.; Lu, W.-R.; Chang, Y.-T.; Hsieh, T.-H.; Yang, F.-L*. “90% Accuracy for Photoplethysmography-Based Non-Invasive Blood Glucose Prediction by Deep Learning with Cohort Arrangement and Quarterly Measured HbA1c.” Sensors 2021, 21, 7815. https://doi.org/10.3390/s21237815
• Justin Chu, Wen-Tse Yang, Yao-Ting Chang* and Fu-Liang Yang* “Visual Reassessment with Flux Interval Plot Configuration after Automatic Classification for Accurate Atrial Fibrillation Detection by Photoplethysmography” Diagnostics 2022, 12, 1304. https:// doi.org/10.3390/diagnostics12061304
• Justin Chu, Wen-Tse Yang, Tung-Han Hsieh, Fu-Liang Yang*, Feb. 2021 “One-Minute Finger Pulsation Measurement for Diabetes Rapid Screening with 1.3% to 13% False-Negative Prediction Rate” Biomedical Statistics and Informatics 2021; 6(1): 6-13, DOI: 10.11648/j.bsi.20210601.12