跨領域資料科學與信號處理研究室 iDSSP Lab
Research Field
Che Lin (Senior Member, IEEE) received a B.S. degree in Electrical Engineering from National Taiwan University in 1999; an M.S. degree in Electrical and Computer Engineering, an M.S. degree in Mathematics, and a Ph.D. degree in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign in 2003 and 2008, respectively.
Dr. Lin is currently a tenured Full Professor with the Department of Electrical Engineering, National Taiwan University, leading the interdisciplinary Data Science and Signal Processing (iDSSP) lab. He was with the Department of Electrical Engineering, National Tsing Hua University, from 2008-2019. His research interests include deep learning, data science, medical AI, FinTech, signal processing in wireless communications, optimization theory, and systems biology.
Dr. Lin has been actively involved in organizing and chairing sessions and has served as a Technical Program Committee member at several international conferences. He currently serves as the Chair of the industry subcommittee and the elected member of the Machine Learning for Signal Processing Technical Committee (MLSP TC, 2021~present); He is the elected member of the Applied Signal Processing Systems Technical Committee (ASPS TC, 2021~present); He was the elected member of Design and Implementation of Signal Processing Systems Technical Committee (DISPS TC, 2019 ~2020), all in IEEE Signal Processing Society. He received a two-year Vodafone Graduate Fellowship in 2006, the E. A. Reid Fellowship Award in 2008, and holds a U.S. patent, which has been included in the 3GPP LTE standard. In 2012, he received the Excellent Teaching Award for the College of EECS, NTHU. He was awarded the Best Paper Award for the 2014 GIW-ISCB-ASIA conference. In 2015, he received the CIEE Outstanding Young Electrical Engineer Award. In 2017, he received the Young Scholar Innovation Award from the Foundation for the Advancement of Outstanding Scholarship.
iDSSP researches into “Interdisciplinary Data Science” & “Signal Processing,” especially for AI Prediction and Analysis, falling into two main categories:
Medical AI and Financial Technology
See our website for details: https://www.idssp.ee.ntu.edu.tw/idssp-home
癌症預後預測 Cancer prognosis prediction
時序列電子病歷分析 Time-series EHR analysis
快速藥物篩選 Fast drug screening
推薦系統 Recommender Systems
違約/詐騙辨識 Fraud identification
Best Paper Award in Signal Processing, Taiwan telecommunications Annual Symposium, 2022.
THIRD place in the EMBS Student Paper Competition, the 43rd Annual International Conference of Engineering in Medicine and Biology, 2021.
傑出人才發展基金會(Foundation For The Advancement Of Outstanding Scholarship) 第五屆「年輕學者創新獎」, 2017.
CIEE Outstanding Young Electrical Engineer Award (中國電機工程學會「優秀青年電機工程師獎」), 2015.
Best Paper Award for 2014 GIW-ISCB-ASIA conference.
Excellent Teaching Award for the college of EECS, NTHU, 2012.
Reward for Academic Excellence, NTHU, 2012, 2014.
Best Poster Award, International Workshop on Mathematical Issues in Information Sciences (MIIS), Xi’an, China, 2012.
Nominated for the Excellent Teaching Award for NTHU, 2011, 2013.
E. A. Reid Fellowship Award, UIUC, Spring 2008.
Vodafone Fellowship, UIUC, Fall 2006 - Spring 2008.
Ph.D., (2008), Electrical and Computer Engineering, University of Illinois, Urbana-Champaign, Urbana, Illinois, USA
M.S., (2008), Mathematics, University of Illinois, Urbana-Champaign, Urbana, Illinois, USA
M.S., (2003), Electrical and Computer Engineering, University of Illinois, Urbana-Champaign, Urbana, Illinois, USA
B.S., (1999), Electrical Engineering, National Taiwan University, Taipei, Taiwan
1 Vacancy
Job Description
(Online) meeting for at least 2-4 hours every week (depends on the research topic)
Preferred Intern Education Level
bachelor/master's degree
Skill sets or Qualities
deep learning
data science
python, tensorflow/pytorch framework
bio/ fintech background