My research interests lie in optimizing wireless networks or smart grids which are useful for real industry. The goal of my research is to model the systems finely and rigorously to find the optimal solution of them based on mathematical theories including probability theory, queueing theory, game theory, Markov chain, machine learning, and reinforcement learning, etc. My current research topics are in the following.

• Resource Allocation on Edge Computing
• Internet of Things & Data Market
• Energy Management Scheme in Smart Grids
• Blockchain Technologies and Applications

Sangdon Park demonstrates a proven track record of achievements in the area of wireless networks and smart grid for optimization and resource allocation mechanism. He has led and successfully carried out the research of restoring the missing data with high accuracy and detecting the abnormal state for the Advanced Metering Infrastructure (AMI) data managed by Korea Electric Power Corporation (KEPCO). He is also prominent in the area of smart grid energy trading; the energy trading mechanism he proposed in the paper of IEEE Transactions on Industrial Electronics was selected in the IE Technology News for its achievements in the industrial electronics society.

Through these achievements, he was granted a research scholarship right after getting his Ph.D. degree. It’s called “Basic Science Research Program” from National Research Foundation (NRF), entitled “Learning-based Energy Trading Blockchain Technology using Smart Contract”. He has been leading the project as a research leader with approximately $200,000 for 4 years as he has been recognized for his achievements in the field of energy trading in smart grid. This grant is usually supports young professors, and his case is highly exceptional. In this research, he currently focuses on optimizing energy trading algorithm in many situations. He aims to design a realistic learning based smart trading system that uses block chains as a means of trading within a research project.