Prof. Soohyun Park
Dr. Soohyun Park has been an assistant professor at Sookmyung Women's University, Seoul, Republic of Korea. She was a postdoctoral scholar at the Department of Electrical and Computer Engineering, Korea University, Seoul, Republic of Korea, where she received her Ph.D. in electrical and computer engineering. She also received her B.S. in computer science and engineering from Chung-Ang University, Seoul, Republic of Korea. Her research interests are in deep learning theory and network/mobility applications, quantum neural network (QNN) theory and applications, QNN software engineering and programming languages, and AI-based autonomous control for distributed computing systems.
She was a recipient of ICT Express Best Reviewer Award (2021), KICS/HFR Research Paper Award (2023, Area: Quantum Computing and Technologies), IEEE Seoul Section Student Paper Contest Awards, and IEEE Vehicular Technology Society (VTS) Seoul Chapter Awards.
Her research website is as follows: Distributed Platforms and Systems (DPS) Laboratory at Sookmyung Women's University
(Research Topics)
Quantum Machine Learning (QML): QML Programming Methods, Quantum Reinforcement Learning, Quantum Fedeated Learning
AI-based Autonomous Control for Distributed Computing Systems
(Research Projects)
Research on Quantum Multi-Agent Reinforcement Learning Stability (Research on Multi-Agent Reinforcement Learning Exploration, Communication, Training Strategy)
(퀀텀멀티에이전트 강화학습 안정성 확보 연구개발 [멀티에이전트 강화학습 탐색, 통신, 학습전략 기술연구])
Electronics and Telecommunications Research Institute (ETRI) (한국전자통신연구원 위탁과제) (2023.09-2024.01) ACK: FA2386-22-1-4009
(Journals and Top Conferences)
AQUA: Analytics-driven Quantum Neural Network (QNN) User Assistance for Software Validation
Future Geneation Computer Systems (Elsevier), v(n):ppp-ppp, Month Year. S. Park, H. Baek, J. W. Yoon, Y. K. Lee, J. KimCooperative Multi-UAV Positioning for Aerial Internet Service Management: A Multi-Agent Deep Reinforcement Learning Approach
IEEE Transactions on Network and Service Management, v(n):ppp-ppp, Month Year. J. Kim, S. Park, S. Jung, C. CordeiroRealizing Stabilized Landing for Computation-Limited Reusable Rockets: A Quantum Reinforcement Learning Approach
IEEE Transactions on Vehicular Technology, v(n):ppp-ppp, Month Year. G. S. Kim, J. Chung, S. ParkHandover Protocol Learning for LEO Satellite Networks: Access Delay and Collision Minimization
IEEE Transactions on Wireless Communications, v(n):ppp-ppp, Month Year. J.-H. Lee, C. Park, S. Park, A. F. MolischTrends in Quantum Reinforcement Learning: State-of-the-Arts and the Road Ahead
ETRI Journal (Wiley), v(n):ppp-ppp, October 2024. S. Park, J. Kim
(Invited Article: Special Issue on Next-Gen AI and Quantum Technology)Age-of-Information Aware Caching and Delivery for Infrastructure-Assisted Connected Vehicles
IEEE Transactions on Vehicular Technology, 73(7):ppp-ppp, July 2024. S. Park, C. Park, S. Jung, M. Choi, J. KimQuantum Multi-Agent Reinforcement Learning for Autonomous Mobility Cooperation
IEEE Communications Magazine, 62(6):ppp-ppp, June 2024. S. Park, J. P. Kim, C. Park, S. Jung, J. KimLearning-Based Cooperative Mobility Control for Autonomous Drone-Delivery
IEEE Transactions on Vehicular Technology, 73(4):4870-4885, April 2024. S. Park, C. Park, J. KimDynamic Quantum Federated Learning for Satellite-Ground Integrated Systems using Slimmable Quantum Neural Networks
IEEE Access (IEEE Vehicular Technology Society Section), 12:58239-58247, April 2024. S. Park, S. Jung, J. KimQuantum Reinforcement Learning for Spatio-Temporal Prioritization in Metaverse
IEEE Access, 12:54732-54744, April 2024. S. Park, H. Baek, J. KimJoint Delay-Sensitive and Power-Efficient Quality Control of Dynamic Video Streaming using Adaptive Super-Resolution
IEEE Transactions on Green Communications and Networking, 8(1):103-117, March 2024. M. Choi, W. J. Yun, S. B. Son, S. Park, J. KimSensing-Aware Deep Reinforcement Learning with HCI-based Human-in-the-Loop Feedback for Autonomous Nonlinear Drone Mobility Control
IEEE Access, 12:1727-1736, January 2024. H. Lee, S. ParkTwo-Stage Architectural Fine-Tuning for Neural Architecture Search in Efficient Transfer Learning
IET Electronics Letters, 59(24):e13066, December 2023. S. Park, S. B. Son, Y. K. Lee, S. Jung, J. KimQuantum Multiagent Actor-Critic Networks for Cooperative Mobile Access in Multi-UAV Systems
IEEE Internet of Things Journal, 10(22):20033-20048, November 2023. C. Park, W. J. Yun, J. P. Kim, T. K. Rodrigues, S. Park, S. Jung, J. KimQuantum Split Learning for Privacy-Preserving Information Management
ACM Conference on Information and Knowledge Management (CIKM), Birmingham, United Kingdom, October 2023. S. Park, H. Baek, J. Kim
(Acceptance Rate (short): 152/554=27.44%)Logarithmic Dimension Reduction for Quantum Neural Networks
ACM Conference on Information and Knowledge Management (CIKM), Birmingham, United Kingdom, October 2023. H. Baek, S. Park, J. Kim
(Acceptance Rate (short): 152/554=27.44%)Joint Frame Rate Adaptation and Object Recognition Model Selection for Stabilized Unmanned Aerial Vehicle Surveillance
ETRI Journal (Wiley), 45(5):811-821, October 2023. G. S. Kim, H. Lee, S. Park, J. KimTwo Tales of Platoon Intelligence for Autonomous Mobility Control: Enabling Deep Learning Recipes
ETRI Journal (Wiley), 45(5):735-745, October 2023. S. Park, H. Lee, C. Park, S. Jung, M. Choi, J. Kim
(Invited Article: Special Issue on Autonomous Unmanned Aerial/Ground Vehicles and their Applications)EQuaTE: Efficient Quantum Train Engine for Run-Time Dynamic Analysis and Visual Feedback in Autonomous Driving
IEEE Internet Computing, 27(5):24-31, September-October 2023. S. Park, H. Feng, C. Park, Y. K. Lee, S. Jung, J. KimReal-Time High-Quality Visualization for Volumetric Contents Rendering: A Lyapunov Optimization Framework
IEEE Open Journal of the Computer Society, 4:243-252, September 2023. H. Baek, R. Lee, S. Jung, J. Kim, S. ParkMulti-Agent Reinforcement Learning for Cooperative Air Transportation Services in City-Wide Autonomous Urban Air Mobility
IEEE Transactions on Intelligent Vehicles, 8(8):4016-4030, August 2023. C. Park, G. S. Kim, S. Park, S. Jung, J. KimStereoscopic Scalable Quantum Convolutional Neural Networks
Neural Networks (Elsevier), 165:860-867, August 2023. H. Baek, W. J. Yun, S. Park, J. KimEntropy-Aware Similarity for Balanced Clustering: A Case Study with Melanoma Detection
IEEE Access, 11:46892-46902, May 2023. S. B. Son, S. Park, J. KimWorkload-Aware Scheduling using Markov Decision Process for Infrastructure-Assisted Learning-Based Multi-UAV Surveillance Networks
IEEE Access (IEEE VTS Section), 11:16533-16548, February 2023. S. Park, C. Park, S. Jung, J.-H. Kim, J. KimSelf-Configurable Stabilized Real-Time Detection Learning for Autonomous Driving Applications
IEEE Transactions on Intelligent Transportation Systems, 24(1):885-890, January 2023. W. J. Yun, S. Park, J. Kim, D. MohaisenCooperative Multi-Agent Deep Reinforcement Learning for Reliable Surveillance via Autonomous Multi-UAV Control
IEEE Transactions on Industrial Informatics, 18(10):7086-7096, October 2022. W. J. Yun, S. Park, J. Kim, M. Shin, S. Jung, D. Mohaisen, J.-H. KimJoint Mobile Charging and Coverage-Time Extension for Unmanned Aerial Vehicles
IEEE Access, 9:94053-94063, June 2021. S. Park, M. Choi, W.-Y. Shin, J. KimStabilized Adaptive Sampling Control for Reliable Real-Time Learning-based Surveillance Systems
IEEE/KICS Journal of Communications and Networks, 23(2):129-137, April 2021. D. Kim, S. Park, J. Kim, J. Y. Bang, S. JungMultiagent DDPG-Based Deep Learning for Smart Ocean Federated Learning IoT Networks
IEEE Internet of Things Journal, 7(10):9895-9903, October 2020. D. Kwon, J. Jeon, S. Park, J. Kim, S. Cho
(Under Rewview, Journals and Top Conferences)
Farthest Agent Selection with Episode-Wise Observations for Real-Time Multi-Agent Reinforcement Learning Applications
IEEE Acces, v(n):ppp-ppp, Month Year. H. Lee, S. Park, M. ChoiTBD
IEEE TVT, v(n):ppp-ppp, Month Year. S. B. Son, S. Park,TBD
ACM CIKM, v(n):ppp-ppp, Month Year. S. B. Son, S. Park,
(Proceedings)
Quantum Reinforcement Learning for Large-Scale Multi-Agent Decision-Making in Autonomous Aerial Networks
IEEE VTS Asia Pacific Wireless Communications Symposium (APWCS), Tainan, Taiwan, August 2023. S. Park, J. Kim
(IEEE VTS Seoul Chapter Award)EQuaTE: Efficient Quantum Train Engine Design and Demonstration for Dynamic Software Analysis
IEEE International Conference on Distributed Computing Systems (ICDCS), Hong Kong, China, July 2023 (Demo). S. Park, H. Feng, W. J. Yun, C. Park, Y. K. Lee, S. Jung, J. KimCoordinated Multi-Agent Reinforcement Learning for Unmanned Aerial Vehicle Swarms in Autonomous Mobile Access Applications
IEEE International Conference on Distributed Computing Systems (ICDCS), Hong Kong, China, July 2023 (Poster). C. Park, H. Lee, W. J. Yun, S. Park, S. Jung, J. KimMulti-Agent Deep Reinforcement Learning for Efficient Passenger Delivery in Urban Air Mobility
IEEE International Conference on Communications (ICC), Rome, Italy, May/June 2023. C. Park, S. Park, G. S. Kim, S. Jung, J.-H. Kim, J. KimIntroduction to MITRE ATT&CK: Concepts and Use Cases
IEEE International Conference on Information Networking (ICOIN), Bangkok, Thailand, January 2023. S. B. Son, S. Park, H. Lee, Y. Kim, D. Kim, J. KimTutorial on Course-of-Action (COA) Attack Search Methods in Computer Networks
IEEE International Conference on ICT Convergence (ICTC), Jeju, Korea, October 2022. S. B. Son, S. Park, H. Lee, J. Kim, S. Jung, D. KimQuality-Aware Real-Time Augmented Reality Visualization under Delay Constraints
IEEE International Conference on Distributed Computing Systems (ICDCS), Bologna, Italy, July 2022 (Poster). R. Lee, S. Park, S. Jung, J. KimAoI-Aware Markov Decision Policies for Caching
IEEE International Conference on Distributed Computing Systems (ICDCS), Bologna, Italy, July 2022 (Ph.D. Student Symposium). S. Park, S. Jung, M. Choi, J. KimIntroduction to Secure Computing Methods in Unmanned Aerial Vehicles
IEEE International Conference on Ubiquitous Future Networks (ICUFN), Barcelona, Spain, July 2022. S. Park, M. Yoo, S. Jung, M. Choi, J. KimAdaptive and Stabilized Streaming for Edge-Assisted Connected Vehicles under Heterogeneous Computing Constraints
IEEE Vehicular Technology Conference (VTC), Helsinki, Finland, June 2022. R. Lee, H. Lee, S. Park, J. KimTrends in LEO Satellite Handover Algorithms
IEEE International Conference on Ubiquitous Future Networks (ICUFN), Jeju, Korea, August 2021. S. Park, J. KimSecure Aerial Surveillance using Split Learning
IEEE International Conference on Ubiquitous Future Networks (ICUFN), Jeju, Korea, August 2021. Y. J. Ha, M. Yoo, S. Park, S. Jung, J. KimProper Cost Hamiltonian Design for Combinatorial Optimization Problems: A Boolean Function Approach
IEEE International Conference on Information Networking (ICOIN), Jeju, Korea, January 2021. J. Choi, S. Oh, S. Park, J.-K. Kim, J. KimPerformance Comparison of SRCNN, VDSR, and SRDenseNet Deep Learning Models in Embedded Autonomous Driving Platforms
IEEE International Conference on Information Networking (ICOIN), Jeju, Korea, January 2021. J. Kim, M. Shin, D. Kim, S. Park, Y. Kang, J. Kim, H. Lee, W. J. Yun, J. Choi, S. Park, S. Oh, J. YooAuction-Based Deep Learning Computation Offloading for Truthful Edge Computing: A Myerson Auction Approach
IEEE International Conference on Information Networking (ICOIN), Jeju, Korea, January 2021. H. Lee, S. Park, J. Kim, J. KimReinforced Edge Selection using Deep Learning for Robust Surveillance in Unmanned Aerial Vehicles
IEEE International Conference on ICT Convergence (ICTC), Jeju, Korea, October 2020. S. Park, J. Park, D. Mohaisen, J. KimLearning-Based Dot-Grid Alignment for Projection Distortion Correction
IEEE International Conference on Information Networking (ICOIN), Barcelona, Spain, January 2020. D. Kim, D. Kwon, S. Park, J. KimFast and Reliable Offloading via Deep Reinforcement Learning for Mobile Edge Video Computing
IEEE International Conference on Information Networking (ICOIN), Barcelona, Spain, January 2020. S. Park, Y. Kang, Y. Tian, J. KimJoint Offloading and Streaming in Mobile Edges: A Deep Reinforcement Learning Approach
IEEE VTS Asia Pacific Wireless Communications Symposium (APWCS), Singapore, August 2019. S. Park, J. Kim, D. Kwon, M. Shin, J. Kim
(IEEE VTS Seoul Chapter Award)Multi-Agent Deep Reinforcement Learning for Connected Vehicles
ACM International Conference on Mobile Systems, Applications, and Services (MobiSys), Seoul, South Korea, July 2019 (Poster). D. Kwon, S. Park, J. KimHigh-Dimensional Statistical Supervised Learning for Extracting Information in Steganography
IEEE International Conference on Information Networking (ICOIN), Chiang Mai, Thailand, January 2018. S. Hwang, K. S. Kim, Y. Kim, J. Kim, M. Park, S. Park, J. Kim
국문저널 (Journals written in Korean)
강화학습기반 방향성을 고려한 자율 어뢰 기동 제어
한국통신학회논문지(게재허가) 노지민, 이현수, 박수현, 김중헌, 김건형, 김승환하이브리드 양자-고전 강화학습 기술동향
한국통신학회지(주제: 인공지능과 함께하는 미래 기술), 41권, 4호, 10쪽-15쪽, 2024년. 박수현, 김중헌어뢰위협 회피를 위한 강화학습 기반 최적 기만 전술
한국통신학회논문지, 49권, 3호, 333쪽-345쪽, 2024년. 정재현, 김규선, 박수현, 김중현, 윤원혁Performance Analysis of Quantum Federated Learning in Data Classification
한국통신학회논문지, 29권, 2호, 264쪽-269쪽, 2024년. 이현수, 박수현Effect of Gate Variations on MNIST Classification in QNN: Experimental Study and Analysis
한국통신학회논문지, 29권, 2호, 254쪽-263쪽, 2024년. 손석빈, 백한결, 박수현제약 구역을 고려한 동적계획법 기반 최적 중계소 배치 기법
한국통신학회논문지, 48권, 10호, 1227쪽-1234쪽, 2023년. 이현수, 김영구, 하재경, 박수현, 김중헌신뢰성 있는 지구 저궤도 위성 통신망 최적화를 위한 강화학습 기반 동적 라우팅 알고리즘
한국통신학회논문지, 48권, 9호, 1123쪽-1134쪽, 2023년. 김규선, 박수현, 김중헌, 김영구, 하재경, 전병현강화학습 기반 자율형 사이버 위협 공격 COA 탐색 기술 동향
한국통신학회논문지, 47권, 11호, 1776쪽-1787쪽, 2022년. 손석빈, 이해민, 박수현, 김동화, 김중헌