데이터사이언스학과(대학원)

KANGWON NATIONAL UNIVERSITY

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연사소개

ㅁ 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.

 ㅁ 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.

ㅁ 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.

ㅁ 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.

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