Dr. Taeyeong Choi is an Assistant Professor of Information Technology at Kennesaw State University (KSU), GA, USA. Leading the Learning and SEnsing Research (LaSER) laboratory, his research primarily focuses on designing novel machine learning and robotics methodologies for practical applications domains, such as agriculture. His research involves the development of data-driven approaches to construct precise environmental models, addressing challenges posed by limited available observations. Dr. Choi’s work is built upon cutting-edge advancements in computer vision, reinforcement learning, and robotics technologies.

Prior to joining KSU, Dr. Choi gained valuable research experience as a postdoctoral scholar at the University of California, Davis, under the guidance of Dr. Xin Liu, and at the University of Lincoln, UK, supervised by Dr. Grzegorz Cielniak. During these positions, he specialized in the development of AI/robotics technologies for agri-food systems, identifying unique domain-specific challenges and creating effective solutions. Through active collaboration, he led the organizing team of the ICRA2023 workshop on Agri-Food Robotics–from Farm to Fork, contributing to the research community.

He earned his PhD in Computer Science from Arizona State University, working under the supervision of Dr. Theodore Pavlic. His cross-disciplinary doctoral research, which included the design of a deep learning-based abnormal state detector in ant colonies, were recognized with the ASU Completion Fellowship as well as the Best Paper Award in the SWARM2021 conference.

For more details, please look at his CV available here!


PhD in Computer Science, 2020

  • Arizona State University, USA

MS in Computer Science, 2019

  • Arizona State University, USA

BSE in Computer Science and Engineering, 2015

  • Soongsil University, South Korea


Fall 2023

  • IT7103: Practical Data Analytics
  • IT4773: Machine Learning for Enterprise Applications