- 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, Deutsch Fellowship from German Government for Academic Exchange Scientists (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
- More than $1.3 million project funding from National Science Foundation (NSF), Minnesota State, German government, Amazon, and industry
- Deutsch Fellowship from German Government for Academic Exchange Scientist, 2019
- Medtronic Idea Disclosure Contributor Award, 2013
- Best Paper Award in ACM Multimedia Data Mining, 2006
- Aerospace Industry Pioneer Project Award, 2000
- Chih Lai, et. al., “Device and methods for using AI-mediated imaging to measure, optimize, implant, track and program surgically implanted neuromodulation in research and clinical applications”, 2024 (with U. St. Thomas and U. of Minnesota)
- Chih Lai, et. al., “Motion Analysis for Behavior Identification”, US-Patent US20140371599A1, 2022 (with Medtronic)
- Chih Lai, et. al., “Apply A.I. for Counterfeit Product Detection”, US-Patent application, 2021 (with Microtrace)
- Chih Lai, et. al., “Motion-Based Behavior Identification for Controlling Therapy”, US-Patent application 14-104-078, 2013 (with Medtronic)
- 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
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:
- Work with a surgical team in University of Minnesota to apply A.I. Vision to medical fluoroscopy images in evaluating surgical results
- Develop an AI chatbot (TommieBot) for University St. Thomas, allowing users to Q&A questions more than 6,000 UST’s web sites and PDF files (patent application)
- Work with Mayo Clinic Neurosurgery Physician to apply A.I. and to help severe spinal cord injury patients rehab during COVID-19 pandemic.
- 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 (Brain Neural Connectome Analysis)
For more details, please visit Chih Lai's LinkedIn
Please see a complete list at https://sites.google.com/view/dr-chih-lai/home