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Dr. Dongchul Kim
Reinforcement Learning
Multi-agent Reinforcement Learning
Robotic Control
Drug Discovery
About
I am an Associate Professor in the Department of Computer Science at The University of Texas Rio Grande Valley, where I also serve as the Graduate Program Coordinator. My research focuses on reinforcement learning, multi-agent reinforcement learning, robotic control, and drug discovery.
Research Performance Summary
2007-2026
Active Research Span
First Recorded Paper
a carbon footprint reduction and an inhabitants comfort maximization by controlling different levels of lighting and thermostat in smart homes
Year:
2007
Citations:
4
Venue:
IEEE International Conference on Smart Homes and Health Telematics
Latest Recorded Paper
Patch-MoE Mamba: A Patch-Ordered Mixture-of-Experts State Space Architecture for Medical Image Segmentation
Year:
2026
Citations:
0
Venue:
Medical Imaging with Deep Learning
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.
Publication Venues and Collaboration
Journal, Conference, and Book Publication Breakdown
Top Coauthors
Kim
Gao
Kang
Research Impact by Period
Papers
5
Citations
0
Avg. Citations / Paper
0
H-Index
0
Papers
5
Citations
52
Avg. Citations / Paper
10.4
H-Index
3
Papers
15
Citations
374
Avg. Citations / Paper
24.9
H-Index
6
Papers
12
Citations
83
Avg. Citations / Paper
6.9
H-Index
4
Papers
1
Citations
4
Avg. Citations / Paper
4
H-Index
1
Contact and Professional Links
Detected Research Keywords
Integrative Genomic Study
Inference Gene Regulatory
Gene Regulatory Networks
Reverse Phase Protein
Framework Personalized Medicine
Robust Inductive Matrix
Inductive Matrix Completion
Application Psychiatric Disorders
Regulatory Networks Integrating
Networks Integrating Gene