dongchul.kim@utrgv.edu
EIEAB 3.244
Associate Professor, Department of Computer Science
Director, Machine Intelligence Laboratory
The University of Texas Rio Grande Valley
Research Lab
Research Areas
Artificial Intelligence
Education
Ph.D., Computer Science, University of Texas at Arlington, 2014
M.S., Computer Science, University of Texas at Arlington, 2007
B.S., Computer Science, Kyungsung University, 2003
Research Grant ($3M in total)
CAHSI-Google Institutional Research Program ($100,000)
Towards Robot Understanding Embodying Causal Graphical Models into Robotics (2023-2024), Co-PI
EPA - Border Protection Program ($91,900)
Salinity Forcasting (2022-2023), Co-PI
UTRGV - Research Seed Grant ($9,820)
Who is a better teacher? AI-based calibration of teaching quality (2022-2023), Co-PI
THECB - Accelerating Credentials of Purpose and Value Grant Program ($1,245,000)
Development of Micro-Credential program (2021-2022), Co-PI
Department of Defense (DoD) Ressearch and Education Program ($551,889)
Finding unmodeled signals in noisy big data: An integrated multi-disciplinary approach (2021-2022), Co-PI
NSF Major Research Instrumentation Program ($699,077)
MRI: Acquisition of a GPU-Accelerated Cluster, High Performance Rio Grande Valley Cluster (2020-2023), Co-PI
USDA National Institute of Food and Agriculture ($330,930)
Applying Computer Vision Technologies To Honey Bee Health And Surveillance: Building Capacity in Agricultural Engineering at an HSI (2019~2022), PI
Texas General Land Office ($102,467)
Storm Surge Flood Maps Development for the Lower Laguna Madre Coastal Emergency Management (2018~2020), Co-PI
Teaching Courses
CSCI1101 Intro to CS, CSCI1370 CS I (C++), CSCI1380 CS I (Python)
CSCI3326 OOP in Java, CSCI3329 OOP in Python
CSCI4334 Operating Systems, CSCI4335 Computer Architecture
CSCI4352 Intro to Machine Learning, CSCI4341 Topics in CS: Intro to Deep Learning
CSCI4353 Intro to Deep Learning, CSCI6370 Topics in CS: Intro to Reinforcement Learning
CSCI6379 Intro to Deep Learning, CSCI4341 Topics in CS: Technical Interview
|
Fall 2023 |
Spring 2024 |
Summer I 2024 |
|
CSCI 6370 Intro to Reinforcement Learning |
CSCI 3329 OOP in Python |
|
|
CSCI 4353 Intro to Deep Learning
|
CSCI 6379 Intro to Deep Learning
|
|
|
Fall 2022 |
Spring 2023 |
Summer II 2023 |
|
CSCI 4341 Technical Interview |
CSCI 4341 Intro to Deep Learning |
CSCI 4341 Intro to Deep Learning |
|
|
CSCI 6379 Intro to Deep Learning
|
CSCI 6379 Intro to Deep Learning
|
|
Fall 2021 |
Spring 2022 |
|
|
CSCI 6352/4352 Machine Learning |
CSCI 6379 Intro to Deep Learning |
|
|
Fall 2020 |
CSCI 4341 Intro to Deep Learning Spring 2021 |
Summer I 2021 |
|
CSCI 3329 OOP in Python |
CSCI 3326 OOP in Java |
CSCI 1380 Computer Science I (Python) |
|
CSCI 4352 Machine Learning |
CSCI 3329 OOP in Python |
CSCI 3329 OOP in Python |
|
Fall 2019 |
Spring 2020 |
|
|
CSCI 3326 OOP in Java |
CSCI 1370 Computer Science I |
|
|
CSCI 4352 Machine Learning |
CSCI 3326 OOP in Java |
|
|
Fall 2018 |
Spring 2019 |
Summer I 2019 |
|
CSCI 3326 OOP in Java |
CSCI 3326 OOP in Java |
CSCI 3326 OOP in Java |
|
CSCI 4352 Machine Learning |
CSCI 4352 Machine Learning |
|
|
Fall 2017 |
Spring 2018 |
Summer II 2018 |
|
CSCI 3326 OOP in Java |
CSCI 3326 OOP in Java |
CSCI 3326 OOP in Java |
|
CSCI 4352 Machine Learning |
CSCI 1370 Computer Science I |
|
|
Fall 2016 |
Spring 2017 |
|
|
CSCI 3326 OOP in Java |
CSCI 3326 OOP in Java |
|
|
CSCI 6334 Adv. Operating Systems |
CSCI 6366 Data Mining |
|
|
Fall 2015 |
Spring 2016 |
|
|
CSCI 3326 OOP in Java |
CSCI 3326 OOP in Java |
|
|
CSCI 6175 Seminar in CS |
CSCI 4352 Machine Learning |
|
|
Fall 2014 |
Spring 2015 |
|
|
CSCI 1101 Introduction to CS |
CSCI 3326 OOP in Java |
|
|
CSCI 6334 Adv. Operating Systems |
CSCI 4335 Computer Architecture |
|