학력
◾ 2008년 2월, 중앙대학교 컴퓨터공학과, 공학사
◾ 2010년 2월, 중앙대학교 컴퓨터공학과, 공학석사
◾ 2017년 8월, 중앙대학교 컴퓨터공학과, 공학박사
주요 경력
◾ 2011.12 ~ 2016.02 전임연구원, 이노와이어리스 (System Engineer, Innowireless)
◾ 2018.03~2019.08 조교수, 중앙대학교 다빈치 교양대학 (Assistant Professor, Da Vinci College of General Education, Chung-Ang University)
연구 분야
스마트 그리드, 사물 인터넷, 지능형 컴퓨팅
담당 교과목
컴퓨터시스템구조, 프로그래밍입문(1)/(2), Computational Thinking
주요논문 및 저서
L. Park, C. Lee, J. Kim, A. Mohaisen, and S. Cho, “Two-Stage IoT Device Scheduling with Dynamic Programming for Energy Internet Systems,” to appear in IEEE Internet of Things Journal, 2019.
W. Na, S. Jang, Y. Lee, L. Park, N.-N. Dao, and S. Cho, “Frequency Resource Allocation and Interference Management in Mobile Edge Computing for an Internet of Things System,” IEEE Internet of Things Journal, vol. 6, no. 3, pp. 4910-4920, June 2019.
L. Park, S. Jeong, D. S. Lakew, J. Kim, and S. Cho, “New Challenges ofWireless Power Transfer and Secured Billing for Internet of Electric Vehicles,” IEEE Communications Magazine, vol. 57, no.3, pp. 118–124, March 2019.
L. Park, S. Joeng, J. Kim, and S. Cho, “Joint Geometric Unsupervised Learning and Truthful Auction for Local Energy Market,” IEEE Transactions on Industrial Electronics, vol. 66, no. 2, February 2019.
C. Lee, L. Park, and S. Cho, “Light-Weight Stackelberg Game Theoretic Demand Response Scheme for Massive Smart Manufacturing Systems,” IEEE Access, vol. 6, no. 1, pp. 23316–23324, April 2018.
L. Park, Y. Jang, S. Cho, and J. Kim, “Residential Demand Response for Renewable Energy Resources in Smart Grid Systems,” IEEE Transactions on Industrial Informatics, vol. 13, no. 6, pp. 3165–3173, December 2017.
L. Park, Y. Jang, H. Bae, J. Lee, C. Park, and S. Cho, “Automated Energy Scheduling Schemes for Residential Smart Grid Networks,” Energies, vol. 10, September 2017.
저널 논문
◾ TD3-Based Optimization Framework for RSMA-Enhanced UAV-Aided Downlink Communications in Remote Areas, Remote Sensing, 2023박래혁
◾ NeuSaver: Neural Adaptive Power Consumption Optimization for Mobile Video Streaming, IEEE TRANSACTIONS ON MOBILE COMPUTING, vol.22 No.11 pp.6633~6646, 2023박래혁
◾ HAP-Assisted RSMA-Enabled Vehicular Edge Computing: A DRL-Based Optimization Framework, MATHEMATICS, vol.11 No.10, 2023박래혁
◾ 5G 특화망 동향 및 사례, 정보와통신, 2021박래혁
◾ 에너지 허브 기반 프로슈머 전력 스케줄링 알고리즘, 한국통신학회논문지, vol.46 No.11 pp.1900~1907, 2021박래혁
◾ Multiscale LSTM-Based Deep Learning for Very-Short-Term Photovoltaic Power Generation Forecasting in Smart City Energy Management, IEEE SYSTEMS JOURNAL, vol.15 No.1 pp.346~354, 2021박래혁
◾ Trustful Resource Management for Service Allocation in Fog-Enabled Intelligent Transportation Systems, IEEE ACCESS, vol.8 pp.147313~147322, 2020박래혁
◾ Prosumer Energy Management Considering Contract With Consumers Under Progressive Pricing Policy, IEEE ACCESS, vol.8 pp.115789~115799, 2020박래혁
◾ Two-Stage Computation Offloading Scheduling Algorithm for Energy-Harvesting Mobile Edge Computing, Energies, 2019박래혁
◾ Two-Stage IoT Device Scheduling With Dynamic Programming for Energy Internet Systems, IEEE INTERNET OF THINGS JOURNAL, vol.6 No.5 pp.8782~8791, 2019박래혁
학술대회
◾ Tri-Hai Nguyen, Heejae Park, Kihyun Seol, Seonghyeon So, Laihyuk Park , Applications of Deep Learning and Deep Reinforcement Learning in 6G Networks, The 14th International Conference on Ubiquitous and Future Networks, ECE – Ecole d’Ingénieurs, Paris, France, 2023박래혁
◾ Tri-Hai Nguyen, Heejae Park, Laihyuk Park , Recent Studies on Deep Reinforcement Learning in RIS-UAV Communication Networks, The 5th International Conference onArtificial Intelligence in Information and Communication, Ramada by Wyndham Bali Sunset Road Kuta, Bali, Indonesia, 2023박래혁
◾ Tri-Hai Nguyen, Laihyuk Park, A Survey on Deep Reinforcement Learning-driven Task Offloading in Aerial Access Networks, The 13th International Conference on ICT Convergence, 제주 라마다호텔, 2022박래혁
◾ Tri-Hai Nguyen, Laihyuk Park, Multi-agent DRL-based Task Offloading in Hierarchical HAP-LAP Networks, The 13th International Conference on ICT Convergence, 제주 라마다 호텔, 2022박래혁
◾ Tri-Hai Nguyen, Laihyuk Park, A Survey on Deep Reinforcement Learning-driven Task Offloading in Aerial Access Networks, ICTC 2022, Jeju, 2022박래혁
◾ Heejae Park, Tri-Hai Nguyen, Laihyuk Park, Federated Deep Learning for RIS-assisted UAV-enabled Wireless Communications, The 13th International Conference on ICT Convergence, 제주 라마다호텔, 2022박래혁
◾ Tri-Hai Nguyen, Thanh Phung Truong, Nhu-Ngoc Dao, Woongsoo Na, Heejae Park, Laihyuk Park, Deep Reinforcement Learning-based Partial Task Offloading in High Altitude Platform-aided Vehicular Networks, The 13th International Conference on ICT Convergence, 제주 라마다호텔, 2022박래혁
◾ Heejae Park, Tri-Hai Nguyen, Laihyuk Park, Reconfigurable Intelligent Surface-assisted System Models for Uplink Communications, The 13th International Conference on ICT Convergence, 제주 라마다호텔, 2022박래혁
◾ 박희재, 위성률, 박래혁, Beyond 5G 와 6G 를 위한 기계 학습과 인공지능의 응용 분야, 2021년도 한국통신학회 동계종합학술발표회, 용평리조트 타워콘도, 2021박래혁
◾ 위성률, 박희재, 박래혁, 확장현실 응용을 위한 테라헤르츠 기술의 도전 과제, 2021년도 한국통신학회 동계종합학술발표회, 용평리조트 타워콘도, 2021박래혁
◾ Heejae Park; Seongryool Wee; Laihyuk Park, Learning-based Frequency Synchronization with NTP for Low-cost Phasor Measurement Units, ICOIN 2021, Jeju, 2021박래혁
연구프로젝트
◾ UDN 핵심 기술 검증을 위한 사용자 인터페이스 개발, 한국전자통신연구원, 2019.09.~2019.11.박래혁
◾ V2X 망을 활용한 IoEV 무선 충전 스케줄링 및 블록체인 기반 Secured 통신 기법 개발, 한국연구재단, 2019.03.~2021.02.박래혁
수상
◾ 우수강의상(전임), 2023학년도 교육분야 우수교원, 서울과학기술대학교, 2024박래혁
◾ Deep Reinforcement Learning-Based Sum-Rate Maximization for Uplink Multi-User SIMO-RSMA Systems, Best Paper Awards, International Conference on Intelligence of Things (ICIT) 2023, 2023박래혁
◾ Deep Reinforcement Learning-based Partial Task Offloading in High Altitude Platform-aided Vehicular Networks, 최우수논문상, 한국통신학회, 2022박래혁
기타(학회활동 등)
한국통신학회 종신회원
| 컴퓨터공학과
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