이형준(李炯俊) 교수
컴퓨터공학과 / 인공지능ㆍ소프트웨어학부[대학원]
이형준 교수는 2012년 공과대학 컴퓨터공학과에 부임하여 현재 인공지능대학 컴퓨터공학과 교수로 지능형 네트워크 시스템 분야의 연구 및 강의를 담당해오고 있다. 서울대학교 전기공학부에서 학사학위를 받았고, 미국 스탠포드대학교 전자공학과에서 석사학위 및 박사학위를 취득하였다. 이후 미국 실리콘밸리 Broadcom과 AT&T Labs에서 60GHz 802.11ad 네트워크 SoC 알고리즘/프로토콜 스택 제작 및 LTE 네트워크 최적화 연구 등을 수행하였다. 현재 엣지 컴퓨팅 환경에서 Federated & Collaborative AI, Multimodal AI, Spatial Intelligence, Brain–Human AI 시스템 연구를 활발히 수행하고 있다.
- hyungjune.lee@ewha.ac.kr
- 아산공학관 334호
- 02-3277-6644
- 면담 가능시간
- Tue 1:00pm - 2:00pm
- 연구관심분야
- 엣지 AI/경량 AI, 분산 AI, 생성 AI 기반 실내 측위, 엣지 컴퓨팅, 네트워크 기반 침입탐지 시스템
연구실적
- Multi-Translator FL: Modality-Agnostic Knowledge Construction via Modality Translation in Federated Learning IEEE ACCESS, 2026, v.14, 81010-81022
- EncGradInversion: Image Encoding and Gradient-Inversion-Based Batch Attack in Federated Learning IEEE INTERNET OF THINGS JOURNAL, 2025, v.12 no.4, 3858-3870
- COOL: Conservation of Output Links for Pruning Algorithms in Network Intrusion Detection IEEE Internet of Things Journal, 2024, v.11 no.5, 8906-8920
- Random laser ablated tags for anticounterfeiting purposes and towards physically unclonable functions Nature Communications, 2024, v.15 no.1, 7592
- Predictive Path Planning of Multiple UAVs for Effective Network Hotspot Coverage IEEE Transactions on Vehicular Technology, 2023, v.72 no.12, 16683-16700
- EdgePipe: Tailoring Pipeline Parallelism with Deep Neural Networks for Volatile Wireless Edge Devices IEEE Internet of Things Journal, 2022, v.9 no.14, 11633-11647
- JointNIDS: Efficient Joint Traffic Management for On-Device Network Intrusion Detection IEEE Transactions on Vehicular Technology, 2022, v.71 no.12, 13254-13265
- Stacked Autoencoder-Based Probabilistic Feature Extraction for On-Device Network Intrusion Detection IEEE INTERNET OF THINGS JOURNAL, 2022, v.9 no.16, 14438-14451
- StitchNet: Distributed On-Device Model Partitioning Over Edge Devices Under Volatile Wireless Links IEEE ACCESS, 2022, v.10, 110616-110627
- 병렬 딥러닝 기법에 관한 연구 동향 분석 한국통신학회논문지, 2021, v.46 no.10, 1604-1617
- Infrastructure-Less Vehicle Traffic Density Estimation via Distributed Packet Probing in V2V Network IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2020, v.69 no.10, 10403-10418
- Rendezvous: Opportunistic Data Delivery to Mobile Users by UAVs Through Target Trajectory Prediction IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2020, v.69 no.2, 2230-2245
- Time-Dependent Ad-Hoc Routing Structure for Delivering Delay-Sensitive Data Using UAVs IEEE ACCESS, 2020, v.8, 36322-36336
- Timely directional data delivery to multiple destinations through relay population control in vehicular ad hoc network INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2020, v.16 no.5, 1550147720907820
- Towards Persistent Surveillance and Reconnaissance Using a Connected Swarm of Multiple UAVs IEEE ACCESS, 2020, v.8, 157906-157917
- On-Demand Computation Offloading Architecture in Fog Networks ELECTRONICS, 2019, v.8 no.10, 1076
- Constructing full-coverage 3D UAV Ad-Hoc networks through collaborative exploration in unknown urban environments IEEE International Conference on Communications, 2018, v.2018-May
- DroneNet+: Adaptive Route Recovery Using Path Stitching of UAVs in Ad-Hoc Networks 2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings, 2018, v.2018-January, 1-7
- DroneNetX: Network Reconstruction Through Connectivity Probing and Relay Deployment by Multiple UAVs in Ad Hoc Networks IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2018, v.67 no.11, 11192-11207
- Adaptive path planning of UAVs for delivering delay-sensitive information to ad-hoc nodes IEEE Wireless Communications and Networking Conference, WCNC, 2017
- PUFSec: Device fingerprint-based security architecture for Internet of Things Proceedings - IEEE INFOCOM, 2017
- DMirNet: Inferring direct microRNA-mRNA association networks BMC Systems Biology, 2016, v.10
- Deadline-aware packet routing based on optimal charging schedule in electric vehicular networks International Conference on Information Networking, 2016, v.2016-March, 172-177
- Proactive patrol dispatch surveillance system by inferring mobile trajectories of multiple intruders using binary proximity sensors Proceedings - IEEE INFOCOM, 2016, v.2016-July
- Social-aware data forwarding through scattered caching in disruption tolerant networks IEEE Wireless Communications and Networking Conference, WCNC, 2016, v.2016-September
- DroneNet: Network reconstruction through sparse connectivity probing using distributed UAVs IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC, 2015, v.2015-December
- Predictive Data Delivery to Mobile Users Through Mobility Learning in Wireless Sensor Networks IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2015, v.64 no.12, 5831-5849
- [학술지논문] CollageMap: Tailoring Generative Fingerprint Map via Obstacle-Aware Adaptation for Site-Survey-Free Indoor Localization IEEE International Conference on Pervasive Computing and Communications (PerCom), 2025, v.1 no.1, 197-207
- [학술지논문] CollectiveFL: Edge-to-Edge Collective Intelligence Transfer in Federated Continual Learning IEEE International Conference on Mobile Ad-Hoc and Smart Systems, 2025, v.1 no.1, 1-9
- [학술지논문] EncGradInversion: Image Encoding and Gradient-Inversion-Based Batch Attack in Federated Learning IEEE INTERNET OF THINGS JOURNAL, 2025, v.12 no.4, 3858-3870
- [학술지논문] Breakwater: Securing Federated Learning from Malicious Model Poisoning via Self-Debiasing IEEE International Conference on Communications (ICC) 2024, 2024, v.1 no.1, 3975-3980
- [학술지논문] COOL: Conservation of Output Links for Pruning Algorithms in Network Intrusion Detection IEEE INTERNET OF THINGS JOURNAL, 2024, v.11 no.5, 8906-8920
- [학술지논문] GAN-Loc: Empowering Indoor Localization for Unknown Areas via Generative Fingerprint Map IEEE International Conference on Sensing, Communications, and Networking (SECON), 2024, v.1 no.1, 1-9
- [학술지논문] Pick-a-back: Selective Device-to-Device Knowledge Transfer in Federated Continual Learning IEEE International Conference on Computer Vision (ECCV) 2024, 2024, v.1 no.1, 1-18
- [학술지논문] Random laser ablated tags for anticounterfeiting purposes and towards physically unclonable functions NATURE COMMUNICATIONS, 2024, v.15 no.1, 1-14
- [학술지논문] eXLoc: Understanding Deep Learning-driven Indoor Localization with eXplainable AI IEEE Global Communications Conference (GLOBECOM), 2024, v.1 no.1, 277-282
- [학술지논문] Predictive Path Planning of Multiple UAVs for Effective Network Hotspot Coverage IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2023, v.72 no.12, 16683-16700
- [학술지논문] VersatileFL: Volatility-Resilient Federated Learning in Wireless Edge Networks IEEE International Conference on Sensing, Communication, and Networking (SECON) Proceeding, 2023, v.1 no.1, 1-9
- [학술지논문] JointNIDS: Efficient Joint Traffic Management for On-Device Network Intrusion Detection IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2022, v.71 no.12, 13254-13265
- [학술지논문] Stacked Autoencoder-Based Probabilistic Feature Extraction for On-Device Network Intrusion Detection IEEE INTERNET OF THINGS JOURNAL, 2022, v.9 no.16, 14438-14451
- [학술지논문] EdgePipe: Tailoring Pipeline Parallelism With Deep Neural Networks for Volatile Wireless Edge Devices IEEE INTERNET OF THINGS JOURNAL, 2021, v.9 no.14, 11633-11647
- [학술지논문] 병렬 딥러닝 기법에 관한 연구 동향 분석 한국통신학회논문지, 2021, v.46 no.10, 1604-1617
강의
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2025-2학기
-
컴퓨터구조
- 학수번호 20493분반 01
- 2학년 (3학점, 3시간) 월 3~3 (공학),수 2~2 (159)
- 전공필수,영어강의
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기계학습
- 학수번호 38428분반 02
- 4학년 (3학점, 3시간) 수 3~3 (공학),금 2~2 (153)
-
-
2025-1학기
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정보통신공학
- 학수번호 34743분반 01
- 3학년 (3학점, 3시간) 월 3~3 (공학),수 2~2 (153)
- 전공필수 교환학생 수강불가
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엣지컴퓨팅개론
- 학수번호 G17849분반 01
- 학년 (3학점, 3시간) 월 4~5 (공학A124)
- 영어강의
-
-
2024-2학기
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컴퓨터구조
- 학수번호 20493분반 01
- 2학년 (3학점, 3시간) 월 3~3 (공학),수 2~2 (151)
- 전공필수,영어강의
-
JAVA프로그래밍및실습 강의 계획서 상세보기
- 학수번호 35914분반 04
- 2학년 (3학점, 4.5시간) 화 6~6 (공학A125-2),화 7~8 (공학A125-2)
- 이론1.5,실습3.0
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SW자기설계학습Ⅰ
- 학수번호 38082분반 01
- 학년 (3학점
- 추가개설, 도전학기 선발 학생만 수강 가능
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SW자기설계학습Ⅱ
- 학수번호 38083분반 01
- 학년 (3학점
- 추가개설, 도전학기 선발 학생만 수강 가능
-
기계학습
- 학수번호 38428분반 02
- 4학년 (3학점, 3시간) 화 2~2 (공학A107),금 3~3 (공학A107)
-
-
2024-1학기
-
정보통신공학 강의 계획서 상세보기
- 학수번호 34743분반 01
- 3학년 (3학점, 3시간) 월 3~3 (공학),수 2~2 (153)
- 전공필수
-
엣지컴퓨팅개론
- 학수번호 G17849분반 01
- 학년 (3학점, 3시간) 월 4~5 (공학A124)
- 영어강의
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컴퓨터구조특론 강의 계획서 상세보기
- 학수번호 SE252분반 01
- 학년 (3학점, 3시간) 월 8~9 (공학A122)
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2023-2학기
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컴퓨터구조
- 학수번호 20493분반 01
- 2학년 (3학점, 3시간) 월 3~3 (공학),수 2~2 (151)
- 전공필수,영어강의
-
기계학습 강의 계획서 상세보기
- 학수번호 38428분반 02
- 4학년 (3학점, 3시간) 월 6~6 (공학),수 5~5 (161)
-
-
2023-1학기
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정보기술과미래사회 강의 계획서 상세보기
- 학수번호 11160분반 01
- 학년 (3학점, 3시간)
- 원격강의 팀티칭
-
정보통신공학 강의 계획서 상세보기
- 학수번호 34743분반 02
- 3학년 (3학점, 3시간) 수 3~3 (공학),금 2~2 (161)
- 전공필수
-
엣지컴퓨팅개론
- 학수번호 G17849분반 01
- 학년 (3학점, 3시간) 금 3~4 (공학)
- 영어강의
-
학력
Stanford UniversityPh.D.(Electrical Engin.)
Stanford UniversityM.Sc.(Electrical Engin.)
서울대학교공학사(전기공학)
경력
기업가센터부센터장2021-02-01 ~ 2023-01-31
창업지원단장2023-01-01 ~ 2023-01-31
기업가정신연계전공주임교수2021-02-01 ~ 2023-01-31
창업보육센터장2021-11-01 ~ 2022-12-31
창업보육센터소장2021-02-01 ~ 2021-10-31
컴퓨터공학과장2024-03-01 ~ 2025-07-31
대학원인공지능·소프트웨어학부장2023-11-01 ~ 2025-07-31
컴퓨터공학전공주임교수2023-11-01 ~ 2025-07-31
소프트웨어학부장2023-11-01 ~ 2025-07-31
교내수상이력
연구비우수2023-03-01
연구비우수2022-03-01
연구실적우수(우수)2021-03-01
강의우수2015-09-01