Biography

林澤教授為國際電機電子工程師學會（IEEE）資深會員（Senior Member），於 1999 年取得國立臺灣大學電機工程學系學士學位，2003 年取得美國伊利諾大學香檳分校（University of Illinois at Urbana-Champaign）電機與電腦工程及數學雙碩士學位，並於 2008 年取得該校電機與電腦工程博士學位。

林澤教授現任國立臺灣大學電機工程學系專任教授，帶領跨領域資料科學與訊號處理研究室（iDSSP Lab），並曾擔任國立臺灣大學智慧醫療與健康資訊碩士學位學程（Master’s Program in Smart Medicine and Health Informatics）主任，致力於深度學習、資料科學、智慧醫療、生醫信號處理、金融科技、最佳化理論以及系統生物學等領域進行研究。2008 年至 2019 年間曾任教於國立清華大學電機工程學系。

林澤教授長期積極參與國際學術組織及專業學術服務，曾擔任國際頂尖期刊 IEEE Transactions on Signal Processing 副編輯（Associate Editor），以及 IEEE 訊號處理學會（IEEE Signal Processing Society）旗下機器學習與訊號處理技術委員會（Machine Learning for Signal Processing Technical Committee, MLSP TC）產業小組主席（Industry Subcommittee Chair），並於 2021 年至 2026 年間擔任該技術委員會票選委員。目前仍擔任應用訊號處理系統技術委員會（Applied Signal Processing Systems Technical Committee, ASPS TC）票選委員（2021 年至今），並曾擔任訊號處理系統設計與實作技術委員會（Design and Implementation of Signal Processing Systems Technical Committee, DISPS TC）票選委員（2019–2020 年）。此外，亦多次擔任重要國際學術會議之議程主席、籌辦委員及技術程序委員會成員，積極促進國際學術交流與產學合作。

林澤教授在學術研究與教學方面屢獲肯定，曾獲 2006 年 Vodafone 研究生獎學金、2008 年 E. A. Reid Fellowship、2012 年國立清華大學電機資訊學院優秀教學獎、2014 年 GIW-ISCB-Asia 國際研討會最佳論文獎、2015 年中國電機工程學會傑出青年電機工程師獎、2017 年財團法人傑出人才發展基金會青年學者創新獎，以及 2025 年未來科技獎（Future Tech Award）。此外，亦曾獲國立臺灣大學教學優良獎及電機資訊學院學術貢獻獎等殊榮。其研究成果亦取得美國專利，並被納入國際 3GPP LTE 行動通訊標準。 

Che Lin (Senior Member, IEEE) received the B.S. degree in electrical engineering from National Taiwan University (NTU), Taipei, Taiwan, in 1999, and the M.S. degrees in electrical and computer engineering and mathematics, and the Ph.D. degree in electrical and computer engineering from the University of Illinois at Urbana-Champaign, Urbana, IL, USA, in 2003 and 2008, respectively.

He is currently a Full Professor in the Department of Electrical Engineering, National Taiwan University, where he leads the interdisciplinary Data Science and Signal Processing (iDSSP) Laboratory. He previously served as the Director of the Master’s Program in Smart Medicine and Health Informatics at NTU, promoting interdisciplinary research, collaboration, and talent development at the intersection of artificial intelligence and healthcare. From 2008 to 2019, he was with the Department of Electrical Engineering, National Tsing Hua University, Taiwan. His research interests include deep learning, data science, medical AI, FinTech, signal processing in wireless communications, optimization theory, and systems biology.

Dr. Lin previously served as an Associate Editor of the IEEE Transactions on Signal Processing and as Chair of the Industry Subcommittee of the IEEE Machine Learning for Signal Processing Technical Committee (MLSP TC), where he was an elected member from 2021 to 2026. He currently serves as an elected member of the IEEE Applied Signal Processing Systems Technical Committee (ASPS TC) and previously served on the IEEE Design and Implementation of Signal Processing Systems Technical Committee (DISPS TC) from 2019 to 2020. He has also served in various organizational and technical roles at international conferences.

His honors include the Vodafone Graduate Fellowship (2006), E. A. Reid Fellowship Award (2008), GIW-ISCB-Asia Best Paper Award (2014), CIEE Outstanding Young Electrical Engineer Award (2015), Young Scholar Innovation Award (2017), and Future Tech Award (2025). He has also received teaching excellence awards from National Tsing Hua University and National Taiwan University. He holds a U.S. patent incorporated into the 3GPP LTE standard.