About
hyunsung.kim [at] kaist.ac.kr
LinkedIn / Google Scholar / GitHub / CV
Hi, I am a Sports Data Scientist who loves both mathematics and soccer. I work as a Data Scientist at Fitogether, an IT startup that provides a data analysis solution to sports clubs.
From this September, I'm joining Data Science & Artificial Intelligence Lab (DSAIL) as a Ph.D. student in Graduate School of Data Science at KAIST, advised by Prof. Chanyoung Park. Previously, I received a B.S. in Mathematics at POSTECH and an M.S. in Industrial Engineering at Seoul National University.
Research Interests
I'm interested in applying AI algorithms to sports analytics, where my specialty and passion intersect. More specifically, my current research topics are:
End-to-end player tracking using optical and wearable EPTS (W2)
Inferring the ball trajectory from player trajectories (C2)
Monitoring players' fitness by fatigue and injury prediction (J1)
Representing playing styles and constructing a player retrieval system (W1)
Quantifying player interactions and detecting tactical patterns (C1, W4)
Evaluating players' decisions and their performance (W3)
The above topics can boil down to modeling multi-agent trajectories. Ideally, I aim to find a general model with a complete understanding of soccer that can solve the aforementioned problems through downstream tasks.
I expect that my current and future work may become a springboard for soccer to be "the sports of data science." (You can see the abstracts of my papers here.)
News
Sep 2, 2024: I joined DSAIL at KAIST and began to pursue a Ph.D. degree!
Jun 5, 2024: One paper (W4) got accepted to IT4PSS 2024.
Mar 12, 2024: I'll participate IT4PSS 2024 workshop held in conjunction with IJCAI 2024 as an organizing committee.
Feb 23, 2024: I was invited to Dagstuhl Seminar 24081: Computational Approaches to Strategy and Tactics in Sports and spent an awesome week meeting leaders of worldwide sports analytics community.
Dec 7, 2023: Invited by Marc Schmid, I made a presentation about my SoccerCPD paper (C1) to members of Chair of Performance Analysis and Sports Informatics at TU Munich.
Jul 12, 2023: One paper (W3) led by Pegah Rahimian got accepted to MLSA 2023. Special thanks to Pegah for inviting me an interesting study!
May 17, 2023: One paper (C2) got accepted to KDD 2023. Together with the paper (C1) published in KDD 2022, I get papers at KDD for two years in a row!
Jan 13, 2023: Our GPS-OTS hybrid system has got certified by FIFA as the world's first integrated player tracking system using GPS trackers and a single camera. You can check the technical details in the paper (W2) presented in MLSA 2022.
Oct 5, 2022: Fitogether has been selected as a FIFA Preferred Provider (FPP). So far, there are only two FPPs (Fitogether and Kinexon) around the world and we are the first GPS tracking data provider collaborating with FIFA as an FPP.
Aug 31, 2022: One paper (J1) led by Jeongbin Kim got accepted to IEEE Access.
Aug 11, 2022: I have launched Soccer Data Analytics with Python course in Class101. To my knowledge, this is the first Korean online course on soccer data analytics.
Jul 13, 2022: My interview with SPOTV News, a Korean online press, has been published in Naver Sports. I talked about the growing share of data-driven decision-making in the soccer ecosystem.
May 18, 2022: One paper (C1) got accepted to KDD 2022. This will be my first publication in a top AI/DM conference!
Dec 4, 2021: I was invited as a guest speaker to the 16th K League Football Industry Academy, and made a presentation about my career and research work. Thank K League as a fan and an academy alumnus for inviting me again!
Sep 2, 2021: Fitogether has succeeded to attract the Series B funding of about $10M. Fuel supplied for further growth of our company!
Jul 12, 2021: One paper (W1) got accepted to MLSA 2021. This will be my first presentation in the sports analytics academia!