Professional Experience

• Professor, School of Information Convergence, Kwangwoon University, 2023.9 ~ present. [BigCom Lab.]

• Associate Professor, School of Information Convergence, Kwangwoon University, 2020.9 ~ 2023.8 

• Assistant/Associate Professor, Department of Computer Engineering, Hoseo University, 2013 ~ 2020.8 

• Postdoctoral researcher at IDB, Seoul National University, 2012 ~ 2013 (under the supervision of Prof. Hyoung-Joo Kim)

• Senior Researcher & Research Fellow at BIKE, School of Dentistry, Seoul National University, 2011 ~ 2012 (under the supervision of Prof. Hong-Gee Kim)

Education

• Ph.D in Dept of Computer Science & Engineering, Seoul National University, Internet Database Lab., 2011 (under the supervision of Prof. Hyoung-Joo Kim)

• M.S in Dept of Computer Science & Engineering, Seoul National University, OOPSLA (now IDB), 2005

• B.S in Dept of Computer Science Education (now Computer Science and Engineering), Korea University, 2003             

Research Area & Interests 

• Big data processing & analysis, Data Privacy (De-identification, Differential Privacy), Knowledge Graphs, Blockchain

Publication († : Corresponding author)

 International Journal

• Yeji Song, Jihwan Shin, Jinhyun Ahn, Taewhi Lee, and Dong-Hyuk Im†, 'Generating Labeled Multiple Attribute Trajectory Data with Selective Partial Anonymization based on Exceptional Conditional Generative Adversarial Network', IEEE Access 11(1), pp. 117190-117199, 2023 [LINK]

• Sungbum Park, Geun-Jin Ahn,  and Dong-Hyuk Im†, 'Auto Labeling Methods Developed Through Semi-Weakly Supervised Learning in Prognostics and Health Management Applications for Rolling Ball Bearing', IEEE Sensors, 22(16), 2022 [LINK]

• Yoonmi Shin, Jinhyun Ahn, and Dong-Hyuk Im†, 'Join Optimization for Inverted index technique on relational database management systems', Expert Systems with Applications, 198, pp. 116956, 2022 [LINK]

• MinHyuk Jeon, Odsuren Temuujin, Jinhyun Ahn, and Dong-Hyuk Im†, 'Distributed L-Diversity using Spark-based Algorithm for Large Resource Description Frameworks Data', Journal of Supercomputing, 77, pp. 7270-7286, 2021 [LINK]

• Seongyong Kim, Tae Hyeon Jeon, Ilsun Rhiu, Jinhyun Ahn, and Dong-Hyuk Im†,  'Semantic Scene Graph Generation using RDF Model and Deep Learning', Applied Sciences, 11(2), 2021 [LINK]  

• Hee-Gook Jun, and Dong-Hyuk Im†, 'Semantics-preserving RDB2RDF data transformation using hierarchical direct mapping,' Applied Sciences, 10(20), 2020 [LINK] 

• Jinhyun Ahn, and Dong-Hyuk Im†, 'Efficient Access Control of Large Scale RDF data using Prefix-based Labeling', IEEE Access, 8(1), pp. 122405-122412, 2020 [LINK]

• Hee-Gook Jun, Dong-Hyuk Im†, and Hyoung-Joo Kim, 'Semantics-preserving optimisation of mapping multi-column key constraints for RDB to RDF transformation', Journal of Information Science, Online publish, 2020 [LINK]

• Jinhyun Ahn, and Dong-Hyuk Im†, 'Combining Local and Global Features to Reduce 2-Hop Label Size of Directed Acyclic Graphs', Journal of Information Processing Systems, 16(1), pp. 201-209, 2020 [LINK]

• Kwangwon Seo, Jinhyun Ahn, and Dong-Hyuk Im†, 'Optimization of shortest-path search on RDBMS-based graphs', ISPRS International Journal of Geo-Information, 8(12), 550, 2019 [LINK]

• Odsuren Temuujin, Jinhyun Ahn, and Dong-Hyuk Im†, 'Efficient L-diversity algorithm for preserving privacy of dynamically published datasets', IEEE Access, 7(1), pp. 122878-122888, 2019 [LINK]

• Jinhyun Ahn, Taewhi Lee, and Dong-Hyuk Im†, 'Efficiently Answering Reachability Queries for Tree-Structured Data in Repetitive Prime Number Labeling Schemes', Applied Sciences, 8(5), 785. 2018 [LINK]

• Jinhyun Ahn, Jae-Hong Eom, Sejin Nam, Nansu Zong, Dong-Hyuk Im, and Hong-Gee Kim, 'xStore: Federated Temporal Query Processing for Large Scale RDF Triples on a Cloud Environment', Neurocomputing, vol. 256, pp. 5 - 12. 2017. [LINK] 

• Jinhyun Ahn, Dong-Hyuk Im, Taewhi Lee, and Hong-Gee Kim, 'Optimization Technique for Prime Number Labeling of Directed Acyclic Graphs', Journal of Theoretical and Applied Information Technology, 95(3), pp. 645 - 653. 2017. [LINK]

• Jinhyun Ahn, Dong-Hyuk Im†, Taewhi Lee, and Hong-Gee Kim, 'A Dynamic and Parallel Approach for Repetitive Prime Number Labeling of XML Data with MapReduce', Journal of Supercomputing, 73(2), pp. 810 - 836. 2017. [LINK]

• Hee-Gook Jun, Dong-Hyuk Im, and Hyoung-Joo Kim, 'An RDF Metadata-based Weighted Semantic PageRank Algorithm', International Journal of Web & Semantic Technology, 7(2), pp. 11 - 24. 2016. [LINK]

• Jinhyun Ahn, Dong-Hyuk Im†, and Hong-Gee Kim, 'SigMR: MapReduce-based SPARQL query processing by signature encoding and multi-way join', Journal of Supercomputing, 71(10), pp. 3695 - 3725. 2015.  [LINK] 

• Dong-Hyuk Im and GeunDuk Park, 'Linked Tag: Image annotation using semantic relationships between image tags', Multimedia Tools and Applications, 74(7), pp. 2273 - 2287.  2015. [LINK]

• Taewhi Lee, Dong-Hyuk Im†, Hangkyu Kim, and Hyoung-Joo Kim, 'Application of Filters to Multi-way Joins in MapReduce', Mathematical Problems in Engineering, vol. 2014, pp. 1 - 11. 2014. [LINK]

• Dong-Hyuk Im, Sang-Won Lee, and Hyoung-Joo Kim, 'Backward-Inference and Pruning for RDF Change Detection using RDBMS', Journal of Information Science, 39(2), pp. 238 - 255. 2013. [LINK]

• Dong-Hyuk Im, Sang-Won Lee, and Hyoung-Joo Kim, 'A Version Management Framework for RDF Triple Stores', International Journal of Software Engineering and Knowledge Engineering, 22(1), pp. 85-106. 2012. [LINK]

 International Conference & Workshop

• Yoo-Young Cheong, La Yeon Choi, Jihwan Shin, Taekyung Kim, Jinhyun Ahn, and Dong-Hyuk Im†, 'GNN-based Ethereum Smart Contract Multi-Label Vulnerability Detection', IEEE ICOIN 2024, Ho chi Minh, Vietnam, 2024

• Jihwan Shin, Yeji Song, Yoo-Young Cheong, Jinhyun Ahn, Taewhi Lee, and Dong-Hyuk Im†, 'Advanced Trajectory Privacy Protection with Attention Mechanism and Auxiliary Classifier Generatvie Adversarial Networks', IEEE ICOIN 2024, Ho chi Minh, Vietnam, 2024

• Yeji Song, Jihwan Shin, Jinhyun Ahn, Taewhi Lee, and Dong-Hyuk Im†, 'Except-Condition Generative Adversarial Network for Generating Trajectory Data', DEXA 2023, Penang, Malaysia, 2023

• Jihwan Shin, Yeji Song, Jinhyun Ahn, Taewhi Lee, and Dong-Hyuk Im†, 'TCAC-GAN: Synthetic Trajectory Generation Model using Auxiliary Classifier Generative Adversarial Networks for Improved Protection of Trajectory Data', IEEE BigComp 2023, Jeju, Korea, 2023.

• Chanwook Min, Jinhyun Ahn, Taewhi Lee, and Dong-Hyuk Im†, 'TK-BERT: Effective Model of Language Representation using Topic-based Knowledge Graphs', IEEE IMCOM 2023, Suwon, Korea, 2023.

• Chanwook Min, Hyungsun Na, Yeji Song, Jinhyun Ahn and Dong-Hyuk Im†, 'Effective Use of Knowledge Graphs in a Language Representation Model', CUTE 2022, Vientiane, Laos, 2022.

• Yeji Song, Jihwan Shin, Jinhyun Ahn, Taewhi Lee, and Dong-Hyuk Im†, 'Trajectory privacy protection of selective partial area using the GAN model', CUTE 2021, Jeju, Korea, 2021.

• MinHyuk Jeon, Odsuren Temuujin, Yoonmi Shin, Jinhyun Ahn, and Dong-Hyuk Im†, 'L-RDFDiversity: Distributed de-identification for large RDF with SPARK', CUTE 2019, Macau, China, 2019.

• Yoonmi Shin, Odsuren Temuujin, MinHyun Jeon, Jinhyun Ahn, and Dong-Hyuk Im†, 'Implementation and Experiment of Join Optimization Algorithm for Inverted Index in an RDBMS', CUTE 2019, Macau, China, 2019 

• Temuujin, Minhyuk Jeon, Kwangwon Seo, Jinhyun Ahn, and Dong-Hyuk Im†, 'SPARK-based partitioning algorithm for K-anonymization of large RDFs', FutureTech 2019, Xian, China, 2019.

• Yoonmi Shin, Kwangwon Seo, Jinhyun Ahn, and Dong-Hyuk Im†, 'Deep-Learning-based Image Tagging for Semantic Image Annotation', Computer Science and its Applicaton (CSA), Kuala Lumpur, Malaysia, 2018.

• Kwang-Won Seo, and Dong-Hyuk Im†, 'Semantic Similar Image Retrieval System using RDF similarity in Mobile Environment', The 7th International Conference on Convergence Technology, Hokkaido, Japan, 2017. 

• Jinhyun Ahn, Dong-Hyuk Im, and Hong-Gee Kim, 'A MapReduce-based approach for prefix-based labeling of large XML data', The 6th Joint International Semantic Technology Conference (JIST 2016), LNCS 10055, Singapore, Singapore, 2016. 

• Jinhyun Ahn, Dong-Hyuk Im†, Taewhi Lee, and Hong-Gee Kim, 'Parallel Prime Number Labeling of Large XML Data using MapReduce', The 6th International Conference on IT Convergence and Security (ICITCS), Praque, Czech, 2016.

• Taewhi Lee, Dong-Hyuk Im†, and Jongho Won, 'Similarity-based RDF Change Detection for RDF in MapReduce', Information Technology and Quantitative Management (ITQM 2016), Procedia Computer Science 91, Asan, Korea, 2016.

• Jinhyun Ahn, Jae-Hong Eom, Sejin Nam, Nansu Zong, Dong-Hyuk Im, and Hong-Gee Kim, 'A Design of Federated SPARQL Engine for Temporal Query Processing', The 2015 World Congress on Information Technology Application and Services, Jeju, Korea, 2015.

• Jinhyun Ahn, Dong-Hyuk Im, Jae-Hong Eom, Nansu Zong, and Hong-Gee Kim, 'G-Diff: A Grouping Algorithm for RDF Change Detection on MapReduce', The 4th Joint International Semantic Technology Conference (JIST 2014), LNCS 8943,  Chiang Mai, Thailand, 2014.

• Hee-Gook Jun, Woo-Hyun Lee, Dong-Hyuk Im, Sang-goo Lee, and Hyoung-Joo Kim, 'Weighted Semantic PageRank using RDF Metadata on Hadoop', International Conference on Internet Computing and Big Data (ICOMP'14), Las Vegas, USA, 2014.

• S. W. Bang, K. J. Park, W. S. Kim, G. D. Park, and Dong-Hyuk Im†, 'Design and Implementation of NFC-based Mobile Coupon for Small Traders and Enterprisers', IEEE ICITCS, Macau, China, 2013.

• Dong-Hyuk Im and G. D. Park,'STAG: Semantic Image Annotation using Relationships between Tags', IEEE ICISA, Pattaya, Thailand, 2013.

• Dong-Hyuk Im, Jinhyun Ahn, Nansu Zong, Jinuk Jung, and Hong-Gee Kim, 'Link-Diff: Change Detection Tool for Linked Data using MapReduce Framework', International Workshop on Big Data for Knowledge Engineering in conjunction with JIST, Nara, Japan, 2012.

• Nansu Zong, Dong-Hyuk Im, Jinhyun Ahn, Jinuk Jung, and Hong-Gee Kim, 'MixRank: A Framework for Personalized Linked Data Search', International Workshop on Big Data for Knowledge Engineering in conjunction with JIST, Nara, Japan, 2012.

• Dong-Hyuk Im, Nansu Zong, Eung-Hee Kim, Seokchan Yun and Hong-Gee Kim, 'A Hypergraph-based Storage Policy for RDF Version Management System', ACM ICUIMC, Kuala Lumpur, Malaysia, 2012.

• Nansu Zong, Dong-Hyuk Im, Sungkwon Yang, Hyun Namgoong, and Hong-Gee Kim, 'Dynamic Generation of Concepts Hierarchies for Knowledge Discovering in Linked Data Sets', ACM ICUIMC, Kuala Lumpur, Malaysia, 2012. 

• Dong-Hyuk Im, Dong-Hee Lee, and Hyoung-Joo Kim, 'K-Viz: KEGG-Based Visualization for Comparing Metabolic Pathways', IADIS  International Conference Applied Computing, Salamanca in Spain, 2007.

• Dong-Hee Lee, Dong-Hyuk Im, and Hyoung-Joo Kim, 'A Change Detection Technique for RDF Documents Containing Nested Blank Nodes', The 1st International Conference of Ubiquitous Technology, Dubai in U.A.E, 2007.

 Domestic Journal

• 정유영, 김경태,  임동혁†, '그래프 임베딩 및 준지도 기반의 이더리움 피싱 스캠 탐지', 정보처리학회논문지: 컴퓨터 및 통신 시스템, 12(5), 2023

• 나형선, 전태현, 강형석, 안진현, 임동혁†, '군사용 지능형 영상 판독 시스템에서의 빔서치를 활용한 문장 추천', 정보처리학회논문지: 소프트웨어 및 데이터 공학, 10(11), 2021

• 안진현, 임동혁†, '이벤트와 관련된 주변 관광지 자동 추천 알고리즘 개발', 산학기술학회 논문지, 21(3), 2020 

• 이용현, 임동혁, 구해모, 김형주, '관계형 데이터베이스 상에서 사용하는 최단 경로 탐색 알고리즘(ALT) 설계와 구현', 정보과학회 논문지:컴퓨팅의 실제, 25(4), 2019

• 서광원, 임동혁†, '모바일 환경에서 사용자 정의 규칙과 추론을 이용한 의미 기반 이미지 어노테이션의 확장', 멀티미디어학회 논문지, 21(2), 2018.

• 노현덕, 서광원, 임동혁†, '모바일 환경에서 의미 기반 이미지 어노테이션 및 검색', 멀티미디어학회 논문지, 19(8), 2016.

• 이태휘, 임동혁†, '맵리듀스에서의 구조적 RDF 데이터 변경 탐지 기법', 정보처리학회 논문지: 소프트웨어 및 데이터 공학, 3(8), 2014     

• 전희국, 임동혁, 김형주, '시맨틱 링크를 활용한 페이지랭크 알고리즘 개선', 정보과학회 논문지: 컴퓨팅의 실제 및 레터, 18(12), 2012     

• 임동혁, 이상원, 김형주, '관계형 데이터베이스 기반의 후방향 추론을 이용하는 확장 가능한 RDF 데이터 변경 탐지 기법', 정보과학회 논문지: 데이터베이스, 37(4), 2010

• 양준석, 임혜원, 김현우, 임동혁, 임호재, 한상욱, 김형주, '웹 서비스 환경에서의 전자세금계산서 메시징 시스템의 구현', 정보과학회 논문지: 컴퓨팅의 실제 및 레터, 16(2), 2010 

• 임동혁, 김형주, '후방향 전진 추론을 이용한 RDF 모델의 효율적인 변경 탐지', 정보과학회 논문지: 컴퓨팅의 실제 및 레터, 15(2), 2009

• 이동희, 임동혁, 김형주, '내포된 공노드를 포함하는 RDF 문서의 변경 탐지 기법', 정보과학회 논문지: 데이터베이스, 34(6), 2007

• 임동혁, 이동희, 김형주, 'K-Viz: 대사 경로를 위한 KEGG 기반의 시각화', 정보과학회 논문지: 소프트웨어 및 응용, 34(5), 2007

• 정준원, 박형우, 임동혁, 이강표, 김형주, 'GO Guide: 생물학 온톨로지를 위한 브라우저 및 질의 변환', 정보과학회 논문지: 컴퓨팅의 실제, 12(3), 2006

• 임동혁, 정호영, 김형주, 'OWL 질의 처리를 위한 시그니처 기반 최적화 기법', 정보과학회 논문지: 데이터베이스, 32(6), 2005       

Honors and Awards

  National Graduate Science & Technology Scholarship, By KOSEF(Korea Science and Engineering Foundation), September, 2007 ~ August, 2008.

Projects (*: Project Leader)

 Current

• [빅데이터] 빅데이터 대상의 빠른 질의 처리가 가능한 탐자 데이터 분석 지원 근사질의 DBMS 기술 개발*, SW컴퓨팅산업원천기술(4차년도 위탁과제), Jan 2024 - Dec 2024

• [빅데이터] 사용자 및 아이템 기반 협업 필터링 추천 시스템*, (주)칸그림-위탁연구과제, Dec 2023 - Nov 2024

• [교육] 지능형로봇 혁신공유대학, 한국연구재단-디지털 신기술 인재양성 혁신공유대학, May 2021 - Feb 2027

 Completed 

• [인공지능] 재량지출의 중장기 전망방법에 대한 탐색적 연구: 시계열 및 인공지능/머신러닝을 이용한 전망방법의 비교와 적용가능성을 중심으로, 한국조세재정연구원(공동연구), Aug 2023 - Mar 2024 

• [빅데이터(딥러닝)] 딥러닝 기반 시공간 경로 데이터에 대한 지역 차분 프라이버시 기술*, 한국연구재단(NRF)-기본연구, Jun 2021 - Feb 2024

• [인공지능(딥러닝)] 5G 기반 산업별 빅데이터 활용 딥러닝 모형 개발 및 인력양성(초연결-고신뢰산업지능연구센터), 대학ICT연구센터지원(ITRC)-세부과제 참여(IITP, 과학기술정보통신부), Mar 2019 - Dec 2023

• [빅데이터&머신러닝] 시뮬레이션 근사 질의 지원 머신 러닝 기술 선행 연구*, 한국전자통신연구원(ETRI)-위탁과제, Apr 2023 - Nov 2023

• [인공지능] 메타버스 기반 디지털 행정민원 구현방안 연구, LX 공간정보연구원(공동-세부과제 책임), Aug 2022 - Aug 2023

• [교육] 광운대학교 SW 중심대학, 정보통신기획평가원(IITP), Sep 2020 - Feb 2023

• [빅데이터&머신러닝] 시공간 근사 질의 지원 머신 러닝 모델 연구 개발*, 한국전자통신연구원(ETRI)-위탁과제, Mar 2022 - Nov 2022

• [블록체인] 하이퍼레저 패브릭 및 이더리움 플랫폼 기반 블록체인 데이터 분석 기술 동향 조사*, 한국전자통신연구원(ETRI)-용역과제, Aug 2022 - Nov 2022

• [인공지능] 의미적 장면 그래프 생성을 위한 이미지 객체 및 관계 분석*, 광운대학교-신임교원 정착연구, Sep 2020 - Aug 2022

• [인공지능(이미지분석)] 지능형 행위기반 영상정보 분석기법 연구, 국방과학연구소-위탁과제(공동), Sep 2019 -  May 2022

• [빅데이터&머신러닝] 시공간 데이터 근사 질의 지원 머신 러닝 기술 선행 연구*, 한국전자통신연구원(ETRI)-위탁과제, Jun 2021 - Nov 2021

• [빅데이터] COVID 확산이 서울시 지역별-업종별 경제에 미친 영향과 지방정부의 대응방안 연구* 한국데이터산업진흥원- AI 데이터바우처지원사업, Sep 2020 - Dec 2020

• [교육] 호서대학교 SW 중심대학, 정보통신기획평가원(IITP)-참여교원, Sep 2019 - Aug 2020 

• [빅데이터] 공간계획 디지털 트윈 기반 3D 토지이용모형 기초 데이터 구축 및 시각화 구현, 산학협력 R&D 사업-세부과제 참여(한국국토정보공사, LX), Sep 2019 - Aug 2020

• [빅데이터] 빅데이터 기술을 활용한 대용량 동적 그래프 처리 프레임워크*, 한국연구재단-신진연구(미래창조과학부), Mar 2017 - Feb 2020 

• [빅데이터] 대규모 트랜잭션 처리와 실시간 복합 분석을 통합한 일체형 데이터 엔지니어링 기술 개발, SW컴퓨팅산업원천기술개발사업-세부과제 참여(IITP, 과학기술정보통신부), Oct 2017 - Sep 2019

• [빅데이터] 빅데이터 처리 기술을 활용한 시맨틱 웹 데이터의 진화 프레임워크 연구*, 한국연구재단-신진연구(미래창조과학부), May 2014 - Apr 2017

• [빅데이터] 대용량 반정형 데이터 처리 성능 향상을 위한 분산 처리 최적화 기술 연구*, 한국전자통신연구원(ETRI)-위탁과제, June 2016 - Nov 2016

• [빅데이터] 하둡 기반 데이터 웨어하우스에서의 반정형 데이터 처리 연구*, 한국전자통신연구원(ETRI)-위탁과제, June 2015 - Nov 2015

• 모바일 환경에서의 의미 기반 이미지 어노테이션 및 검색*, 호서대학교 교내 기초 연구, Nov 2014 - Oct 2015 

• 모바일 환경에서 소공인을 위한 관리 플랫폼 개발*, 한국연구재단-호서대학교 산학협력단 LINC 기술 개발 과제, Jun 2014 - Jan 2015 

• Implementation of platform for customer management and marketing based on NFC*, IT/SW Creative research program (IT/SW 창의 연구 기술개발형), NIPA, May 2013 - Apr 2014

Academic Activities

 Editorial Board Member

• Associate Editor, Human-centric Computing and Information Sciences(HCIS, SCIE), 2022 - present

• Associate Editor, Journal of Information Processing Systems(JIPS, SCOPUS), 2023 - present

• Editor, KIPS Transaction on Software and Data Engineering(KTSDE, KCI), 2020 - Present

 Program Committee Member

• Program Committee Member, JIST, 2018

• Program Committee Member, JIST, 2013

• Program Committee Member, BIKE workshop (in conjunction with JIST), 2012

• Program Committee Member, DASFAA 2012

• Program Committee Member, TFWS workshop 2011 

• Reviewer

     Journal : JDM(Journal of Database Management), JWS(Journal of Web Semantics), IEEE TKDE, IJSEKE, JIS(Journal of Information Science), JoS (Journal of Supercomputing),

                    IEEE TMM(Transaction on Multimedia), JODS(Journal on Data Semantics), IEEE Access, JIPS, Mathematics, Electronics, Scientific Reports, World Wide Web Journal, 

                    HCIS(Human-centric Computing and Information Sciences)

     Conference : JIST 2012 (external), ICUIMC 2012, WIMS'12 Industrial Track (external)

Teaching

• Big Data Language(Python Programming) : (2017, 2019 Hoseo University, 2020, 2021, 2022, 2023, 2024 Kwangwoon University)

• Database : (2012. 9 ~ 2013. 2 Soongsil University, 2021, 2022, 2023 Kwangwoon University)

• Big Data Processing and Application: (2020, 2021, 2022, 2023 Kwangwoon University)

• Machine Learning : (2019, 2020 Hoseo University)

• JAVA Programming : (2013, 2014, 2015, 2016, 2017, Hoseo University)

• Data Structure : (2016, 2017, 2018, 2019 Hoseo University)

• Algorithm : (2016, 2017, 2018, 2019 Hoseo University, 2022 Kwangwoon University)

• Computer Network : (2014, 2015  Hoseo University)

• Android Programming : (2016,  2017, 2018, 2019  Hoseo University)

• C Programming : (2013,  Hoseo University)

• Database Application and Programming : (2012. 3 ~ 2012. 8, Soongsil University)