학과소개

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Global IT

커뮤니티

교수진

아주대학교 소프트웨어학과에 오신 것을 환영합니다.

전임교원

  • 강경란

    korykang@ajou.ac.kr
    • 전공 Internet Multicast, Embedded Network Software
    • 연구실 팔달관 602호
    • 전화 031-219-1835
    • 홈페이지 http://madang.ajou.ac.kr/~korykang
    • 학력 및 연구활동
      • 한국과학기술원 박사(1999)
      • 한국전자통신연구원 선임연구원 (1999-2000)
      • ㈜디지탈웨이브 책임연구원 (2000-2002)
      • A Blind Calibration Scheme Exploiting Mutual Calibration Relationships for a Dense Mobile Sensor Network, IEEE Sensors Journal (2014)
      • A Scalable Joint Routing and Scheduling Scheme for Large-scale Wireless Sensor Networks (2013)
      • A simple transmission mode switching scheme for IPTV multicast sessions on a hybrid wireless optical access network (2012)
      • A Mobile Community Service Platform Promoting Ubiquitous Collaboration (2011)

  • 고영배

    youngko@ajou.ac.kr
    • 전공 지능형 사물인터넷(AIoT), 무선 이동컴퓨팅(Wireless/Mobile Computing)
    • 연구실 팔달관 605호
    • 전화 031-219-2432
    • 홈페이지 https://sites.google.com/view/iconslab/home
    • 학력 및 연구활동
      • Texas A&M University 박사 (2000)
      • IBM T.J. Watson Research Center Research Staff (2000-2002)
      • 차세대 전술이동통신체계 무선 MSAP 메쉬망을 위한 혼합형 인증기법(2012)
      • Improving the Reliability of IEEE 802.11s Based Wireless Mesh Networks for Smart Grid Systems (2012)
      • Rank-aware Tree-based Geographical Routing for Tactical Mobile Ad-hoc Networks (2012)
      • iCONS Lab : D.N.A (Data-Network-AI) 개념을 중심으로 \\\\\\\"지능화된 초연결 융합 시스템(Intelligence of Hyper-Connected & Converged Systems)\\\\\\\" 관련 연구 수행을 목표

  • 김상훈

    sanghoonkim@ajou.ac.kr
    • 전공 Operating systems, memory systems, storage systems
    • 연구실 팔달관 1004-2호
    • 전화 031-219-3423
    • 홈페이지 https://sslab.ajou.ac.kr
    • 학력 및 연구활동
      • KAIST 박사 (2016)
      • Virginia Tech 박사후 연구원 (2016-2018)
      • NVMeVirt: A Versatile Software-defined Virtual NVMe Device, USENIX FAST, 2023
      • Dotori: A Key-Value SSD Based KV Store, VLDB, 2023
      • DEHype: Retrofitting Hypervisors for a Resource-Disaggregated Environment, CLUSTER, 2023

  • 김성수

    sskim@ajou.ac.kr
    • 전공 디펜더블 시스템, 고신뢰성소프트웨어, 모델링및시뮬레이션
    • 연구실 팔달관 808호
    • 전화 031-219-2644
    • 학력 및 연구활동
      • Texas A&M University 박사 (1995)
      • 삼성전자 수석연구원 (1983~1996)
      • A Reliability Analysis of Cascaded TMR Systems (2015)
      • Availability Analysis for A Data Center Cooling System with (n,k)-way CRASs (2015)
      • 유비쿼터스 커뮤니티 컴퓨팅시스템 통합 플랫폼 및 지능공간 구현 (2008)

  • 노병희

    bhroh@ajou.ac.kr
    • 전공 멀티미디어 통신. Network 보안
    • 연구실 팔달관 608호
    • 전화 031-219-1601
    • 홈페이지 http://mmcn.ajou.ac.kr
    • 학력 및 연구활동
      • 한국과학기술원 박사(1998)
      • 인지 전술 무선망에서 QoS 보장을 위한 정책기반 동적 채널 선택(2012)
      • Detection and Countermeasure Scheme for CallDisruption Attacks on SIP-Based VoIP Services(2012)
      • Efficient Capacity Allocation for Real-Time Traffic in MF-TDMA based GEO Satellite Systems(2012)

  • 류기열

    kryu@ajou.ac.kr
    • 전공 Programming Language. HCI. Secure Software
    • 연구실 팔달관 705호
    • 전화 031-219-2636
    • 학력 및 연구활동
      • 한국과학기술원 박사(1992)
      • 유비쿼터스 환경에서 자발적 상호연동을 지원하는 역할 기반 응용 모델(2012)
      • Perceived Affordance based Tangible Interfaces for Augmented Virtuality Simulation of Aerospace(2012)
      • Role-Based Application Model for Supporting Spontaneous Interaction(2010)

  • 변광준

    byeon@ajou.ac.kr
    • 연구실 팔달관 609호
    • 전화 031-219-2445
    • 학력 및 연구활동
      • 1993.12 Univ. Southern California 박사

  • 손경아

    kasohn@ajou.ac.kr
    • 전공 Machine learning, Data mining, Biomedical informatics
    • 연구실 산학협력원 507호
    • 전화 031-219-2434
    • 홈페이지 https://sites.google.com/site/kasohn/
    • 학력 및 연구활동
      • Carnegie Mellon University 박사 (2011)
      • 서울대 의대 연구조교수 (2012)
      • 삼성종합기술원 연구원 (2003-2005)
      • Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy. CVPR (2020)
      • Predicting Alzheimer’s disease progression using multi-modal deep learning approach, Scientific Reports (2019)
      • Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network, ECCV (2018)

  • 오상윤

    syoh@ajou.ac.kr
    • 전공 Data-Intensive Computing, 분산/병렬 컴퓨팅, 클라우드 컴퓨팅
    • 연구실 팔달관 701호
    • 전화 031-219-2633
    • 홈페이지 http://wise.ajou.ac.kr/
    • 학력 및 연구활동
      • Indiana University Bloomington 박사(2006)
      • SK텔레콤 전략기술부문 연구원(2006-2007)
      • Energy-efficient multisite offloading policy using Markov decision process for mobile cloud computing (PERVASIVE AND MOBILE COMPUTING) 2016
      • Evaluating ARM HPC clusters for scientific workloads (CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE) 2015

  • 유리

    riyu@ajou.ac.kr
    • 전공 Computer Graphics, Character Animation and Control, Human Motion Analysis, Human Body Modeling
    • 연구실 팔달관 607호
    • 전화 031-219-2436
    • 홈페이지 https://yul85.github.io/
    • 학력 및 연구활동
      • 서울대학교 박사 (2021)
      • 서울대학교병원 의생명연구원 연구교수 (2021-2022)
      • Human dynamics from monocular video with dynamic camera movements, ACM Transactions on Graphics (2021)
      • Quantitative gait analysis using a pose-estimation algorithm with a single 2d-video of parkinson’s disease patients, Journal of Parkinson’s Disease (2021)
      • Figure skating simulation from video, Computer Graphics Forum (2019)

  • 유종빈

    jongbinryu@ajou.ac.kr
    • 전공 Deep Learning, Computer Vision, Machine Learning
    • 연구실 팔달관 604호
    • 전화 031-219-3815
    • 홈페이지 https://sites.google.com/view/jongbinryu
    • 학력 및 연구활동
      • 카이스트 전산학 박사 (2017)
      • 한양대학교 리서치펠로우 (2017-2020)
      • Generalized Convolutional Forest Networks for Domain Generalization and Visual Recognition, International Conference on Learning Representations (ICLR), 2020.
      • DFT-based Transformation Invariant Pooling Layer for Visual Classification, European Conference on Computer Vision (ECCV), 2018.
      • Locality-preserving descriptor for robust texture feature representationt, Nuerocomputing, 2016.

  • 윤대균

    dkyoon@ajou.ac.kr
    • 전공 Parallel & Distributed Systems, Service & Business Strategy
    • 연구실 산학협력원 537호
    • 전화 031-219-3872
    • 학력 및 연구활동
      • Ph.D. Computer Engineering, University of Southern California (1996)
      • 서울대학교 컴퓨터공학과 석사 (1985)
      • 서울대학교 컴퓨터공학과 학사 (1983)
      • 삼성전자 무선사업부 전무이사 (2014~2015)
      • NHN Technology Services 대표이사 (2011~2013)
      • NHN (Naver) 본부장 (2006~2011)
      • 네오스텝스 대표이사 (2000~2006)
      • 삼성전자 수석연구원 (1998~2000)
      • 현대정보기술 EC/보안 팀장 (1996~1997)

  • 이상훈

    sanghoonlee@ajou.ac.kr
    • 전공 Artificial Intelligence, Speech Synthesis
    • 연구실 팔달관 1004호
    • 전화 031-219-3811
    • 홈페이지 https://sites.google.com/view/speechailab
    • 학력 및 연구활동
      • 고려대학교 박사후연구원 (2024)
      • 고려대학교 박사 (2023)
      • DDDM-VC: Decoupled Denoising Diffusion Models with Disentangled Representation and Prior Mixup for Verified Robust Voice Conversion (AAAI, 2024)
      • HierSpeech: Bridging the Gap between Text and Speech by Hierarchical Variational Inference using Self-supervised Representations for Speech Synthesis (NeurIPS, 2022)
      • VoiceMixer: Adversarial Voice Style Mixup (NeurIPS, 2021)
      • Multi-SpectroGAN: High-Diversity and High-Fidelity Spectrogram Generation with Adversarial Style Combination for Speech Synthesis (AAAI, 2021)

  • 이석원

    leesw@ajou.ac.kr
    • 전공 Software Engineering, Artificial Intelligence, Software Assurance
    • 연구실 팔달관 603호
    • 전화 031-219-3548
    • 홈페이지 http://www.machinediscovery.com
    • 학력 및 연구활동
      • George Mason University 박사(2003)
      • University of North Carolina 및 University of Texas 교수(2003~2011)
      • Senior Research Scientist, Science Applications International Corporation (SAIC, 2000-2003)
      • Research Staff, IBM T.J. Watson Research Center (2000)
      • Discovering Multi-dimensional Correlations among Regulatory Requirements to Understand Risk, ACM TOSEM(2011)
      • UML Design Pattern Metamodel-level Constraints for the Maintenance of Software Evolution, Software: Practice and Experience(2011)
      • Software Engineering for Secure Systems, Computers and Security(2010)

  • 이슬

    sael@ajou.ac.kr
    • 전공 Data Mining, Machine Learning, Bioinformatics
    • 연구실 산학협력원 620호
    • 전화 031-219-3839
    • 학력 및 연구활동
      • Purdue University 박사 (2010)
      • 한국뉴욕주립대 (Stonybrook University) 컴퓨터학과 조교수 (2012.09 - 2018.02)
      • 삼성종합기술원 Future IT 전문연구원 (2011.09 - 2012.08)
      • Purdue University, 박사후연구원 (2010.09 - 2011.08)
      • Yoo, J. & Sael, L.* (2019). EDiT: Interpreting Ensemble Models via Compact Soft Decision Trees. IEEE ICDM
      • Choi, D., & Sael, L.* (2019). SNeCT: Scalable network constrained Tucker decomposition for integrative multi-platform data analysis. IEEE/ACM TCBB.
      • Lee, J., Oh, S., & Sael, L.* (2018). GIFT: Guided and Interpretable Factorization for Tensors with an Application to Large-Scale Multi-platform Cancer Analysis. Bioinformatics, 34(24), 4151–4158.

  • 이환용

    hwan@ajou.ac.kr
    • 전공 Computer Graphics, Image Processing, Mixed Reality, Embedded System, Standardization
    • 연구실 팔달관 704호
    • 전화 031-219-3858
    • 학력 및 연구활동
      • 2011.02 경북대학교 박사
      • 2013-2015 경북대학교 산학협력중점교수
      • 2004-2013 HUONE Inc., CTO
      • 1999-2004 ACTSystem Inc., CEO
      • 1995-1999 POSTECH Researcher

  • 정태선

    tschung@ajou.ac.kr
    • 전공 Database Systems, Flash Memory Storages, Big Data, Sparial Databases, Telematics
    • 연구실 팔달관 903-1호
    • 전화 031-219-1828
    • 홈페이지 http://dbdc.ajou.ac.kr
    • 학력 및 연구활동
      • 서울대학교 박사 (2002)
      • 삼성전자 책임연구원 (2002-2004)
      • 명지대학교 조교수 (2004-2005)
      • A Survey of flash translation layer. JSA (2009)
      • Hybrid associative flash translation layer for the performance optimization of chip-level parallel flash memory. ACM TOS (2013)
      • An efficient algorithm for computing safe exit points of moving range queries in directed road networks. Information Systems (2014)

  • 조다정

    dajungcho@ajou.ac.kr
    • 전공 Theory of computation, Formal language and automata theory, Synthetic Biology
    • 연구실 산학협력원 509호
    • 전화 031-219-2635
    • 학력 및 연구활동
      • 연세대학교 박사 (2018)
      • University of Paris-Saclay 박사후연구원 (2018-2019)
      • University of Kassel 박사후연구원 (2019-2021)
      • Distributed computation with continual population growth, International Symposium on Distributed Computing, 2020
      • Site-directed insertion: Language equations and decision problems, Theoretical Computer Science (TCS), 2019

  • 조영종

    yjcho@ajou.ac.kr
    • 전공 유무선 네트워크. Social Network 성능분석
    • 연구실 팔달관 807호
    • 전화 031-219-2643
    • 홈페이지 http://accl.ajou.ac.kr/
    • 학력 및 연구활동
      • 한국과학기술원 박사(1990)
      • 1985-1996 LG정보통신 고속교환실장
      • 1990-1991 미국 Bell Lab 연구원
      • Efficient Multicast Scheme based on Hybrid ARQ and Busy Tone for Multimedia Traffic in Wireless LANs (2014)
      • Adaptive Transmission Opportunity Scheme Based on Delay Bound and Network Load in IEEE 802.11e Wireless LANs (2013)
      • Dynamic FEC Scheme for Multicasting Real-Time Multimedia Traffic in WLANs (2013)

  • 조현석

    hyunsouk@ajou.ac.kr
    • 전공 Multimodal Understanding, Recommendation Systems, Natural Language Processing
    • 연구실 팔달관 714호
    • 전화 031-219-2524
    • 학력 및 연구활동
      • POSTECH 컴퓨터공학 박사 (2018)
      • NCSOFT NLP Center Knowledge AI Lab. Team Leader / Technical Director (2018-2021)
      • Self-Supervised Multimodal Opinion Summarization (ACL 2021)
      • CITIES: Contextual Inference of Tail-Item Embeddings for Sequential Recommendation (ICDM 2020)
      • MeLU: Meta-Learned User Preference Estimator for Cold-Start Recommendation (KDD 2019)

  • 최영준

    choiyj@ajou.ac.kr
    • 전공 무선 Network. Mobile Platform & Security
    • 연구실 팔달관 702호
    • 전화 031-219-2634
    • 학력 및 연구활동
      • 서울대학교 박사(2006)
      • 진보된 스마트폰용 위치 기반 경로 검색 서비스 개발(2011)
      • Interference Coordination Scheme between WiFi and Zigbee Networks(2012)
      • Analysis of Best Channel Feedback and its Adaptive Algorithms for Multi-Carrier Wireless

  • 최재영

    mobilechoi@ajou.ac.kr
    • 전공 Data Science & Engineering, Graph Databases, Intelligent Systems, Business Intelligence
    • 연구실 산학협력원 537호
    • 전화 031-219-3871
    • 학력 및 연구활동
      • State University of New York at Buffalo 박사 (2004)
      • State University of New York at Buffalo, Computer Science and Engineering 석사(2001)
      • KAIST 경영과학 석사(1993)
      • KAIST 경영과학 학사(1990)
      • Stochastic Scheduling Problems for Maximizing the Expected Number of Early Jobs with Common or Exchangeable Due Dates (2012)
      • Stochastic Scheduling Problems for Maximizing the Number of Early Enough Jobs (2012)
      • A Review on Scheduling Problems for Minimizing the Number of Late Jobs (2011)
      • A Genetic Algorithm for Job Sequencing Problems with distinct due dates and general early-tardy penalty weights (1995)

  • 황원준

    wjhwang@ajou.ac.kr
    • 전공 컴퓨터비전, 패턴인식, 딥러닝
    • 연구실 팔달관 703호
    • 전화 031-219-2632
    • 홈페이지 https://sites.google.com/view/ajoucvpr
    • 학력 및 연구활동
      • 한국과학기술원 박사 (2016)
      • 삼성종합기술원 전문연구원 (2001-2016)
      • ORC: Network Group-based Knowledge Distillation using Online Role Change, IEEE/CVF Int\'l Conf. on Computer Vision (ICCV), 2023
      • itKD: Interchange Transfer-based Knowledge Distillation for 3D Object Detection, IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), 2023
      • Contrastive Vicinal Space for Unsupervised Domain Adaptation, European Conf. on Computer Vision (ECCV), 2022
      • CDGNet: Class Distribution Guided Network for Human Parsing, IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), 2022

  • Hamandawana Prince

    phamandawana@ajou.ac.kr
    • 전공 Operating system and file system, software platforms for big data and Machine learning
    • 연구실 산학원 822호
    • 전화 031-219-3189
    • 학력 및 연구활동
      • Ajou University, PhD (2021)
      • National University of Science and Technology, Bsc (2010)
      • Assistant Professor, Ajou University, Department of Software, South Korea (2023.03 - 현재)
      • Assistant Professor, Soongsil University, Department of Computer Science and Engineering, South Korea (2021.04 - 2023.02)
      • Post-doctoral Researcher, Data-Intensive Computing and Systems lab, Sogang University (2021.01-2021.03)
      • TPBF: Two-Phase Bloom-Filter-Based End-to-End Data Integrity Verification Framework for Object-Based Big Data Transfer Systems, MDPI Mathematics (2022)
      • Accelerating ML/DL Applications with Hierarchical Caching on Deduplication Storage Systems, IEEE Transactions on Big Data (2021)
      • Crocus: Enabling Computing Resource Orchestration for Inline Cluster-wide Deduplication on Scalable Storage Systems, IEEE Transactions on Parallel and Distributed Systems (2020)

  • Shan Gaoyang

    shanyang166@ajou.ac.kr
    • 전공 컴퓨터공학
    • 연구실 팔달관 1012호
    • 전화 031-219-3187
    • 학력 및 연구활동
      • 아주대학교 박사 (2020.02)
      • 아주대학교 연구조교수 (2020.03-2023.02)
      • A slotted random request scheme for connectionless data transmission in bluetooth low energy 5.0, Journal of Network and Computer Applications (2022)
      • Maximized effective transmission rate model for advanced neighbor discovery process in bluetooth low energy 5.0, IEEE Internet of Things Journal (2022)
      • Performance model for advanced neighbor discovery process in bluetooth low energy 5.0-enabled internet of things networks, IEEE Transactions on Industrial Electronics (2020)
      • Advertisement interval to minimize discovery time of whole BLE advertisers, IEEE Access (2018)

  • Shen Yiwen

    chrisshen@ajou.ac.kr
    • 연구실 팔달관 1011호
    • 홈페이지 https://chrisshen.github.io/
    • 학력 및 연구활동
      • 2021, Ph.D. in Computer Engineering, Sungkyunkwan University, South Korea
      • “ECMAC: Edge-Assisted Cluster-Based MAC Protocol in Software-Defined Vehicular Networks”, IEEE Transactions on Vehicular Technology, 2024.
      • “IoT Edge-Cloud: An Internet-of-Things Edge-Empowered Cloud System for Device Management in Smart Spaces”, IEEE Network, 2024.
      • “Context-Aware Navigation Protocol for Safe Driving in Vehicular Cyber-Physical Systems”, IEEE Transactions on Intelligent Transportation Systems, 2023.
      • “A Comprehensive Survey on Vehicular Networks for Smart Roads: A Focus on IP-based Approaches”, Vehicular Communications, 2021.
      • “Particle Filtering-Based Indoor Positioning System for Beacon Tag Tracking”, IEEE Access, 2020.
      • “SAINT+: Self-Adaptive Interactive Navigation Tool+ for Emergency Service Delivery Optimization”, IEEE Transactions on Intelligent Transportation Systems, 2018.
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