본문 바로가기

K-DS

K-DS 콜로퀴움

강연안내
K-DS Distinguished Lecture Series

K-데이터사이언스 국제 저명 인사 특강 시리즈

K-DS 융합인재양성 사업단에서는 데이터사이언스 분야에서 주목받는 국내외의 전문가들을 초청하여 매달 특강을 개최합니다.
특강은 Zoom을 통해 온라인으로 진행되며, 각종 대학 교수님, 연구소 연구원, 기업 리더 등 데이터사이언스 분야의 다양한 전문가들이 연사로 참여합니다.
본 특강 시리즈는 데이터사이언스와 관련된 다양한 주제를 다루며, 참석자들에게 최신 트렌드 및 다양하고 폭넓은 주제를 접할 수 있는 좋은 기회가 될 것입니다.
데이터사이언스에 관심 있는 많은 분들의 참여를 환영합니다!
(QR코드를 통한 Zoom 접속 가능, 회의 ID : 607 180 2035)

연사소개

빅데이터 비즈니스 가치 창출

일시 : 2025년 3월 28일 (금) 오후 2시

조성준 교수님
소속
    서울대학교
약력
    현재 서울대학교 산업공학과 교수와 빅데이터 AI 센터장으로 재직하고 있다. 국가데이터정책위원회 위원을 맡고 있다. 공공데이터전략위원장, 정부3.0추진위원회 빅데이터전문위원장과 한국BI데이터마이닝학회 회장을 역임하였다. 인공지능, 뉴럴네트워크을 시작으로, 머신러닝, 데이터마이닝을 연구하여 왔고, 최근에는 딥러닝, 텍스트마이닝 등 빅데이터와 AI를 연구하고 있다. 이러한 방법론을 바탕으로 제조, 금융, 마케팅, 인사 분야에서 대량 생산되는 IoT 센서 데이터, 텍스트 데이터, 거래 데이터 등으로부터 인사이트를 도출하고 있다. 경험이나 감에 의존하는 주관적 의사결정을 넘어 데이터에 기반한 객관적 의사결정을 일상화하기 위해 필요한 프로세스 변화, 조직 변화, 임직원 교육에 대해서도 연구하고 있다.

    서울대 산업공학과 학사, 석사학위 취득 후, 미 국무성의 풀브라이트 전액 장학생으로 선발되어 미국 워싱톤대학교 컴퓨터사이언스 학과에서 인공지능 석사학위 및 메릴랜드대학교 컴퓨터사이언스 학과에서 뉴럴네트워크, 머신러닝 분야로 박사학위를 받았다.

Challenge and Issues in Biomedical Data Analysis

일시 : 2025년 4월 18일 (금) 오전 10시

Zhezhen Jin, Ph.D.
소속
Columbia University
약력
    Zhezhen Jin is Professor of Biostatistics in the Department of Biostatistics in Mailman School of Public Health at Columbia University. He received his BS and MS in probability and statistics from Nankai University in 1989 and in 1992 respectively, MA in applied mathematics from the University of Southern California in 1994 and Ph.D. degree in Statistics from Columbia University in 1998. After 1998-2000 two years of postdoctoral studies at Harvard School of Public Health, he returned to Columbia as a faculty member in the Department of Biostatistics in 2000. He has been conducting statistical and biostatistical methodological research on resampling methods, survival analysis, nonparametric and semiparametric methods, smoothing methods, and statistical computing. He has also been collaborating with clinical investigators to address statistical issues in neurology, cardiology, oncology, transplantation, psychiatry, pathology and alternative medicine. He received Career Award from the National Science Foundation in 2002. He is a Fellow of the American Statistical Association, a Fellow of the Institute of Mathematical Statistics, and an elected member of International Statistical Institute. He served as the President of the International Chinese Statistical Association (ICSA) in 2022.

Engineering for Intelligent Robotics

일시 : 2025년 5월 16일 (금) 오후 4시 30분

Efi Psomopoulou, Ph.D.
소속
University of Bristol
약력
    Efi Psomopoulou is Assistant Professor in the School of Engineering Mathematics and Technology at the University of Bristol and the Bristol Robotics Laboratory. She investigates and controls the physical interactions of robots with the environment in unstructured scenarios by focusing on stable grasping and dexterous in-hand manipulation using tactile sensing. She has also worked on building underactuated robot hands, on control of variable stiffness joint robots and haptic feedback during minimally invasive surgery. She is the Bristol PI in the Royal Society International Collaboration with Kyungpook National University in South Korea through a £250k award. She is the Bristol PI in a £1.5M ARIA Robot Dexterity project and the Bristol co-I in the £7M Horizon Europe MANiBOT project. She is the publications committee co-chair of the IEEE RAS Women in Engineering and elected member of the UK-RAS Network's Early Career Forum.

Data Science: From Modeling and Simulation’s Perspective

일시 : 2025년 5월 30일 (금) 오전 10시

Joon-Seok Kim, Ph.D.
소속
Emory University
약력
    Joon-Seok Kim is an Assistant Professor in Computer Science at Emory University, focusing on AI and simulation. He received his Ph.D. in Computer Science, from Pusan National University (PNU), South Korea in 2016, specializing in spatial databases. Before joining Emory, he was an R&D Scientist (2022-2024) at Oak Ridge National Laboratory (ORNL) in the Geospatial Science and Human Security Division of the National Security Science Directorate. He worked at Pacific Northwest National Laboratory (PNNL) as a postdoc (2021-2022) in National Security Directorate, developing predictive and prescriptive analytics tools leveraging AI/ML and simulations for nonproliferation and cybersecurity in power grids. Dr. Kim worked at George Mason University as a postdoc (2018-2021), leading development of an urban simulation that models social networks, human mobility, and dynamics in the urban environment.

연사소개

Generative AI meets Vector databases and RAG techniques

일시 : 2024년 9월 20일 (금) 오후 2시

Dr. Min-Soo Kim
소속
  • Professor at School of Computing, KAIST
약력
  • (Current) Professor at School of Computing, KAIST
  • (Current) Co-Founder and CEO of GraphAI Co. Ltd.
  • (Current) Vice President, Office of Academic Information, KAIST
  • (Former) Director of Research Center for Extreme Exploitation of Dark Data, ERC, NRF, Korea
  • (Former) Professor at Electrical Engineering and Computer Science, DGIST
  • (Former) Postdoctoral Research Staff, IBM Almaden Research Center, USA

Query optimization in cloud database, and Graph neural networks: techniques and benchmarks

일시 : 2024년 10월 25일 (금) 오전 10시

Makoto Onizuka
소속
Graduate School of Information Science and Technology, Osaka University
약력
  • Makoto Onizuka is a Professor at Graduate School of Information Science and Technology, Osaka University. He is the leader of Big data engineering Laboratory and conducts research on graph mining algorithms and AI-driven database query optimization techniques. Prior to joining Osaka University, he worked at Nippon Telegraph and Telephone Corporation (NTT) for more than 20 years being served as a distinguished technical member from 2010 to 2014. He also worked as a visiting scholar at the University of Washington from 2000 to 2001. He developed research prototype systems and some of them were used in production: LiteObject (object-relational main memory database system), XMLToolkit (XML stream engine), CBoC type2 (Common IT Bases over Cloud Computing at NTT), and Grapon (Graph mining techniques). He serves as Director at the database society of Japan (2024-present), Information Processing Society of Japan (2019-2021), Academic committee at Shonan meeting (2016-present), PC co-chair at DASFAA 2024 and KJDB 2024, Publicity co-chair at MIPR 2021, Workshop co-chair at VLDB 2020, Best demonstration award committee at VLDB 2024 and DASFAA 2010, Best paper award committee at DASFAA 2012, and program committee at international conferences, including VLDB(2009-2010 industrial track, 2024 demonstration track), SIGMOD(2018, 2020), ICDE(2015 industrial track, 2023 demonstration track), AAAI(2021-2025), NeurIPS(2022-2025), ICLR(2024), IJCAI(2023-2024), ICML(2023-2024), ECML(2022, 2024), CIKM(2017-2018,2020-2023), DASFAA(2010-2016,2020-2023).

Privacy in the Age of AI and Large Language Models

일시 : 2024년 11월 22일 (금) 오전 10시

Professor Li Xiong
소속
Samuel Candler Professor of Computer Science and Biomedical Informatics, Emory University
약력
  • Li Xiong is a Samuel Candler Professor of Computer Science and Biomedical Informatics at Emory University. She has a Ph.D. from Georgia Institute of Technology, an MS from Johns Hopkins University, and a BS from the University of Science and Technology of China. Her research lab, Assured Information Management and Sharing (AIMS), conducts research on trustworthy and privacy-enhancing data-driven AI solutions for healthcare, public health, and spatial intelligence. She is recognized as an IEEE fellow for her contributions on privacy-preserving and secure data sharing and analytics. She has published over 200 papers and received six best paper or runner up awards. She has served and serves as associate editor for TKDE, TDSC, VLDBJ, general or program chair for SIGSPATIAL, CIKM, BigData, and program vice chair for SIGMOD, VLDB, and ICDE. Her research has been supported by both governments (NSF, NIH, IARPA, AFOSR) and industry/foundations (Mistubishi, Cisco, AT&T, Google, IBM). More details are at http://www. cs.emory.edu/~lxiong.

Under the Ground, Over the Oceans, and through the Space: Exploring the World with Imaging Beyond the Visible Spectrum.

일시 : 2024년 12월 13일 (금) 오후 4시

Professor Seniha Esen Yuksel
소속
Department of Electrical and Electronics Engineering, Hacettepe University
약력
  • Dr. Seniha Esen Yuksel received her Ph.D. degree from the University of Florida, Department of Computer Information, Science and Engineering, USA in 2011. Currently, she is an associate professor at Hacettepe University, Department of Electrical and Electronics Engineering. She also serves as the director of the Pattern Recognition and Remote Sensing Laboratory (PARRSLAB), where her research focuses on machine learning and computer vision utilizing sensors that extend beyond the visible spectrum, such as hyperspectral, radar, X-ray, thermal, SAR, and LiDAR. Dr. Yuksel is recognized as an IEEE Senior member and has been honored with the BAGEP Outstanding Young Scientist Award by the Science Academy. She has contributed to the scientific community by authoring or coauthoring over 100 articles published in peer-reviewed journals and conferences.

연사소개

Making Discoveries for Humanity and Society with Data Science

일시 : 2024년 3월 29일 (금) 오후 2시

Dr. Meeyoung Cha
소속
  • Professor, KAIST
  • Chief Investigator, IBS
  • Scientific Director, MPI-SP
약력
  • (Current) Professor at School of Computing, KAIST
  • (Current) Chief Investigator at the Institute for Basic Science (IBS)
  • (Current) Director, at Max Planck Institute for Security and Privacy (MPI-SP), Germany
  • (Former) Visiting Professor, Facebook Data Science Team, USA
  • Received ACM IMC Test-of-Time Award, AAAI ICWSM Test-of-Time Award, MSIT Award

How to Manage Societies Better than Optimal?

일시 : 2024년 4월 26일 (금) 오후 4시

Dr. Dirk Helbing
소속
Professor of Computational Social Science, ETH Zurich
약력
  • Professor of Computational Social Science at ETH Zurich
  • More than 10 Publications in Nature, Science, and PNAS
  • Recipient of Honorary Ph.D. from TU Delft
  • Former Director of the Ph.D. School in "Engineering Social Technologies for a Responsible Digital Future" at TU Delft
  • Active Member of the External Faculty of the Complexity Science Hub Vienna

Human Mobility Science

일시 : 2024년 5월 24일 (금) 오전 10시

Dr. Gautam Malviya Thakur
소속
Group Leader, Location Intelligence R&D, Oak Ridge National Laboratory
약력
  • (Current) Senior Staff Scientist and founding group leader of the Location Intelligence Group in the Geospatial Science and Human Security Division.
  • (Former) Deutsche Telekom Research Laboratories, Berlin, on transportation system modeling and understanding the network anatomy of major cities worldwide
  • (Former) Disney Research Laboratory, Zürich, on activity-driven mobility modeling of guests visiting the Disney theme parks
  • Research Interests in interconnected topics related to activity-driven human mobility modeling, place-based characterization, multi-scale global land use modeling, passive sensing, and spatially explicit disinformation detection.
  • Senior member of both ACM and IEEE

Frontiers of Collective Intelligence

일시 : 2024년 6월 7일 (금) 오후 4시

Dr. Manuel Cebrián Ramos
소속
Senior Research Scientist, Spanish National Research Council
약력
  • Current Position: Senior Research Scientist at the Center for Automation and Robotics, Spanish National Research Council; Member of the National Advisory Board for Artificial Intelligence, Spanish Government
  • Research Focus: Computational Social Science, Network Science, Artificial Intelligence
  • Past Affiliations: Max Planck Society, Massachusetts Institute of Technology (MIT), Commonwealth Scientific and Industrial Research Organisation (CSIRO), University of California at San Diego, Brown University
  • Publications: Articles in Science, Nature, and Proceedings of the National Academy of Sciences on computational approaches to societal challenges
  • Recognition: Research featured in The New York Times, The Economist, The Guardian