Jiheon Choi
Ph.D. candidate · High-performance Computing (HPC), Distributed Systems, Security and Privacy
Jiheon Choi (최지헌)
Ph.D. candidate, Distributed and Parallel Computing Lab
Department of Artificial Intelligence, Ajou University
Suwon, Republic of Korea
Email: unidev [at] ajou.ac.kr
CV (PDF) | Google Scholar | GitHub | LinkedIn
About Me
Jiheon Choi (최지헌) received a B.S. degree in Software and Computer Engineering from Ajou University in Suwon, South Korea in August 2023.
Currently, I am a Ph.D. candidate in the Department of Artificial Intelligence at Ajou University.
I am a software engineer with over six years of experience in both academic research and industry applications.
I am a member of the Distributed and Parallel Computing Lab, led by Ph.D. Sangyoon Oh. My research interests include high-performance computing, distributed AI/ML systems, and application security. You can contact me via email at unidev [at] ajou.ac.kr.
My research has been driven by two primary keywords: HPC and Scalable, Secure AI. My research interests include, but are not limited to:
High-Performance & Distributed Computing: HPC System Optimization and Job Scheduling
AI & Machine Learning: Distributed ML Architecture (i.e., Distributed LLM and GNN), Federated Learning and Privacy-Preserving ML Techniques, Machine Learning for Resource Optimization
Security & Privacy: Privacy-enhancing Techniques (i.e., Differential Privacy and Homomorphic Encryption), Automatic Security Vulnerability Assessment, Secure ML Systems Design
News
2026 Jul. Completed all required coursework for the Ph.D. program in Artificial Intelligence at Ajou University, marking the transition to the dissertation research phase.
2026 May. One paper accepted at Euro-par 2026 (The 32nd International European Conference on Parallel and Distributed Computing).
2026 Mar. One paper accepted at The Journal of Supercomputing.
2026 Feb. One paper accepted at CCGrid 2026 (The 26th IEEE International Symposium on Cluster, Cloud, and Internet Computing).
2025 Sep. One paper accepted at Journal of Systems Architecture.
2025 Feb. Presented a paper titled “When HPC Scheduling Meets Active Learning: Maximizing Performance with Minimal Data” at HPC Asia.
Education
Ph.D. degree in Department of Artificial Intelligence at Ajou University. Advised by Ph.D. Sangyoon Oh. Sep. 2023 - now
B.S. degree in Department of Software and Computer Engineering at Ajou University. Aug. 2023
Work In Progess
[C6] Anonymous Title. Topic: high-performance computing. Jiheon Choi, Minjun Ko, Sangyoon Oh. Data-related venue. Work In Progress.
[C5] Anonymous Title. Topic: graph parallelism. Jiheon Choi, Minjoong Jeong, Sangjae Seo, Sangyoon Oh. HPC-related venue. Work In Progress.
[C4] Anonymous Title. Topic: federated learning. Jiheon Choi, Hyeokjun Jeong, Chanhyeok Jo, Hyunsouk Cho, Sangyoon Oh. Cloud-related venue. Work In Progress.
[J4] HAST: A Heuristic Assessment of Structural and Temporal Dependency for Dynamic Batch Generation with Adaptive Threshold in T-GNNs. Seokhyun Yoon, Jaeyoon Cheong, Jiheon Choi, Minjoong Jeong, Sangyoon Oh. IEEE Access. Under Review.
2026
[C3] S-CQR: Stratified Calibration for Runtime Prediction in HPC Backfill Scheduling. Jiheon Choi, Sangyoon Oh. The 32nd International European Conference on Parallel and Distributed Computing [Euro-par ’26]. NRF-listed Major CS Conference [BK21, KIISE].
[C2] Reducing Backfill Failures from Workload Drift with Lightweight Uncertainty Buffers in HPC Job Scheduling. Jiheon Choi, Sangyoon Oh. The 26th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing [CCGrid ’26]. NRF-listed Major CS Conference [BK21, KIISE].
[J3] UARP: Uncertainty-Aware Runtime Prediction for Preventing Scheduler Termination under Wallclock Constraints in HPC. Jiheon Choi, Sangyoon Oh. The Journal of Supercomputing (IF 3.5, JCR Q2). [PDF]
2025
[J2] Lightweight Multi-Layered De-Identification Architecture: Secure Client Selection in Federated Learning. Jiheon Choi, Sangyoon Oh. Journal of Systems Architecture (IF 4.1, JCR Q1). [PDF]
[C1] When HPC Scheduling Meets Active Learning: Maximizing the Performance with Minimal Data. Jiheon Choi, Jaehyun Lee, Minsol Choo, Taeyoung Yoon, Oh-Kyoung Kwon, Sangyoon Oh. HPCAsia 2025: High Performance Computing in Asia-Pacific Region. [PDF]
2024
[J1] Staleness Aware Semi-asynchronous Federated Learning. Miri Yu, Jiheon Choi, Jaehyun Lee, Sangyoon Oh. Journal of Parallel and Distributed Computing (JPDC) (IF: 4.0, JCR Q1). [PDF]
See also: Domestic publications (in Korean).
Patents
Task Scheduling Device, Task Scheduling method thereof and Computing System. South Korea 10-2025-0078984 (Applied)
Method and Apparatus for Classifying Workload Using Artificial Intelligence Model. South Korea 10-2023-0029398 (Applied)
Apparatus and Method for Hotspot Prevention Based on Bloom Filter in Distributed Database Management System. South Korea 10-2024-0162896 (Applied)
System and Method for Detecting Dynamic Web Vulnerability of Data Normalization of HTTP Headers for Classification of HTTP Headers. South Korea 10-2024-0159333 (Applied)
Method for Automatic Diagnosis Vulnerability of Web and Apparatus for Performing The Method. South Korea 10-2311119 (Registered)
System and Method for Analyzing Malicious Code Based on Blockchain. South Korea 10-222804 (Registered)
Work and Research Experience
Lead Software and Security Engineer, MONTHLY HACKING Inc., Seoul, Republic of Korea (Aug 2020 - Dec 2023)
Co-founded the company and led the technical R&D division, directing engineering decisions across the business.
Delivered security consulting to 60+ domestic startups, including penetration testing, vulnerability assessment, and incident response during security breaches.
Built the REST API for an automated penetration-testing SaaS platform, turning manual security workflows into a repeatable service.
Researcher, WAPAS SYSTEMS Inc., Incheon, Republic of Korea (Oct 2019 - Aug 2020)
Researched mobile OS security architectures on Android and iOS, developing bypass methods that supported a new funded project.
Built a web application for a water-delivery business in the Philippines, covering both the customer ordering platform and the administrative backend, based on requirements gathered directly from the client.
Other Experience
BSKB's Summer Patent Seminar, Birch, Stewart, Kolasch & Birch, LLP (Jun 2023): Training on U.S. patent law, covering patent prosecution, litigation strategy, and recent case law.
Research Projects
[National Research Foundation (NRF)] Efficient Hyperscale LLM Inference System based on Scale-out Context Memory. July 2026 - now
[Korea Evaluation Institute of Industrial Technology] Development of a Cloud-Updatable SDV Chassis Software Platform Supporting Heterogeneous Zonal Control Units (ZCUs). April 2026 - now
[KISTI · National Research Council of Science and Technology] A Study on Graph Parallel Processing Algorithm Based on GPU. June 2024 - now
[Ministry of Science and ICT] Development of multi-tiered, multi-purpose autotuning framework for exa-scale supercomputers. Nov 2023 - now
[Samsung Display Inc.] Development of High Efficiency HPC Job Scheduling Algorithm. Jan 2024 - Feb 2025
[Korea Automotive Technology Institute] Development of Safety of the intended functionality from insufficiency of perception and decision making. Sep 2022 - Dec 2026
[IITP] AI Application Technology with MR-IoT Convergence to countermeasure Disasters. Jan 2023 - Dec 2023
[Ajou University] User Engagement in Social/Mobile Platforms and Its Welfare Value. Jan 2022 - Oct 2022
[Ministry of SMEs and Startups] Development of Web Application Vulnerability Assessment Software. Apr 2022 - Dec 2022
Professional Services
Reviewer
Journal of Network and Systems Management (2026)
Nature Scientific Reports (2026)
IEEE Transactions on Vehicular Technology (2026)
Discover Artificial Intelligence (2026)
Cluster Computing: The Journal of Networks, Software Tools and Applications (2026)
Teaching Assistant, Ajou University. Jan 2022 - Jun 2026
Distributed and Parallel Computing: Fall 2025
Object-oriented Programming: Spring 2024, Spring 2025, Spring 2026
Web System Design: Fall 2023, Fall 2024
Artificial Intelligence Convergence Capstone Design: Fall 2022, Spring 2023
Data Analytics–Machine Learning: Spring 2022
Mentor, Developer Bootcamp Mentoring
Team Sparta Inc. (Jul 2022 - May 2023): Modern Web Framework (e.g., React, Node.js)
Elice Inc. (Nov 2021 - Aug 2022): Modern Web Framework (e.g., React, Node.js)
Mentor, Korea Open Source Software Association (Oct 2020 - Dec 2020)
Instructor, Korea Information Technology Research Institute (Aug 2021 - Dec 2021)
Delivered lectures on essential hacking techniques, web, mobile, and system hacking domains, including a lecture on ethical hacking best practices to participants. The “Cyber Guardians” program is specifically designed for high school students who aspire to initiate their learning journey in the field of information security.
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