Chih Lai portrait

Chih Lai

Professor
Degree
Ph.D., Oregon State University
Office
OSS 308
Phone
(651) 962-5573
Fax
(651) 962-5543

Interests:

Artificial Intelligence (AI) and Machine Learning (ML). Apply AI and ML to multimedia data like images, videos, audio, and text. Please see Dr Lai’s projects at: https://www.linkedin.com/in/chih-lai-ph-d-1932b63/

Experience:

  • Professor, University of St. Thomas, Graduate Program in Software, School of Engineering (present)
  • Visiting Scientist, Helmholtz-Zentrum für Umweltforschung / National Center for Environmental Research, Leipzig, Germany (present)
  • Research Consultant, Medtronic Neuromodulation Division, St. Paul, MN, 2012-2014.
  • Visiting Professor, Informatics Department of Trier University of Applied Science, Trier, Germany (2010)
  • Lead Software Engineer, Garmin Aviation Technology (previously UPS Aviation) on airplane collision avoidance system / ADS-B

Awards:

  • More than $920,000 project funding from National Science Foundation (NSF), Minnesota State, German government, Amazon, and industry
  • Medtronic Idea Disclosure Contributor Award, 2013
  • Best Paper Award in ACM Multimedia Data Mining, 2006
  • Aerospace Industry Pioneer Project Award, 2000

Patents:

  • Chih Lai, et. al., “Motion Analysis for Behavior Identification”, US-Patent application 14-104-057, 2013
  • Chih Lai, et. al., “Motion-Based Behavior Identification for Controlling Therapy”, US-Patent application 14-104-078, 2013
  • Chih Lai, “Detection and removal of self-alerts in an airborne tracking system”, US-Patent 6-594-578, 2003
  • Chih Lai, “Method for determining conflicting paths between mobile airborne vehicles and associated system and computer software program product”, US-Patent 6-564-149, 2003
  • Chih Lai, “Multisource target correlation”, US-Patent 6-542-810, 2003
  • Chih Lai, “Detection and removal of self-alerts in an airborne tracking system”, EU-Patent EP1299747
  • Chih Lai, “Method for determining conflicting paths between mobile airborne vehicles and associated system and computer software program product”, EU-Patent EP1299742, 2003
  • Chih Lai, “Multisource target correlation”, EU-Patent EP1374205, 2003

Recent Research Projects:

Dr. Lai’s research interests include Artificial Intelligence, Machine Learning and Deep Learning on multimedia data (numerical, images, videos, audio, text). Dr Lai’s recent projects include:

  • Apply A.I. and machine vision to identify organs and predict morphological changes in fish embryos that were exposed to different chemicals
  • Apply A.I. to learn from more than 16-million medical journal papers and predict chain effects in life science (i.e. from chemicals to cells to tissues to diseases), see details at https://sites.google.com/view/aop-international-research/home
  • Apply A.I. to understand input sentences and generate next sentences based on sentence vectors
  • Apply A.I. to predict power generation and equipment health for hydro/wind energy industry
  • Apply machine learning to predict patients’ brain activities from fMRIs (https://www.stthomas.edu/awsbraincloud/home/)

For more details, please visit http://www.linkedin.com/pub/chih-lai-ph-d/3/2b6/193

Industry Work Summary:

Before joining the University of St. Thomas, Dr. Lai was a principal software engineer, working on a new aircraft collision avoidance system (ADS-B) which FAA has mandatory installation on most aircraft by 2020. Dr. Lai received three U.S. patents and three European patents, all related to aircraft collision avoidance algorithms. Dr. Lai also worked with Medtronic and has pending patents on monitoring and evaluating Parkinson patients. Other industry experience includes predicting power generation and equipment health for hydro/wind energy industry.

Publications and Presentations:

Please see a complete list at https://sites.google.com/view/dr-chih-lai/home

Courses taught at St. Thomas:

  • Artificial Intelligence—SEIS 764
  • Machine Learning -- SEIS 763
  • Healthcare Analytics -- SEIS 735
  • Data Mining -- SEIS 734
  • Multimedia Information Retrieval -- SEIS 772
  • Real-Time Systems and Applications -- SEIS 740

Academic History:

Ph.D., Oregon State University, 1999
MSCS, Oregon State University, 1992
B.A., Fu-Jen Catholic University (Taiwan), 1987
 

Summer 2020 Courses

Summer 2020 Courses
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Fall 2020 Courses

Fall 2020 Courses
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J-Term 2021 Courses

J-Term 2021 Courses
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