Sumin Han

last updated: Feb 21st, 2024

Sumin Han, Ph.D. Candidate – Expected Graduation Date: August, 2024, CDSN Lab (Advisor: Dongman Lee)

School of Computing, Korea Advanced Institute of Science and Technology (KAIST)

Education

18’~ Integrated master’s/doctoral program (doctoral), KAIST - School of Computing
18’ B.S. in KAIST - School of Computing, Advanced Major
13’ Korea Science Academy of KAIST

Urban Computing, Spatio-temporal Deep Neural Network, Road2Vec/Region2Vec, Urban Simulation

Sumin Han, Youngjun Park, Sonia Sabir, Jisun An, and Dongman Lee, “Improving Real Estate Appraisal with POI Integration and Areal Embedding,”, Arxiv Code, DMO-FinTech Workshop held in conjunction with the PAKDD conference in May 7-10, 2024.
Youngjun Park and Sumin Han. “Enhancing Population Predictions in Developing Area through Building Construction Data”. In: Association of European Schools Of Planning (AESOP) (2024)

Sumin Han, Youngjun Park, Minji Lee, Jisun An, and Dongman Lee, “Enhancing Spatio-temporal Traffic Prediction through Urban Human Activity Analysis,” 32nd ACM International Conference on Information and Knowledge Management (acceptance rate 24%) Paper Code
Youngjun Park, Sumin Han, Jisun An, and Dongman Lee “Encoding Urban Trajectory as a Language: Deep Learning Insights for Human Mobility Pattern”, The paper will be presented at the Association of Collegiate Schools of Planning (ACSP) conference 2023 in Chicago, IL. Paper Code

Sumin Han, Dasom Hong, and Dongman Lee, “Exploring Commercial Gentrification using Instagram Data”, The 2020 IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM), December. 2020. link
Sumin Han, Kinam Park, and Dongman Lee, “Discovering Daily POI Exploitation using LTE Cell Tower Access Traces in Urban Environment”, International Conference on Social Informatics 2020, October. 2020. link
Dongmin Kim, Sumin Han, Heesuk Son, and Dongman Lee, “Human Activity Recognition using Semi-Supervised Multi-Modal DEC for Instagram Data”, PAKDD 2020. link

Doyoon Park, Sumin Han, Youngjun Park, Dongman Lee, “Geographical Visualization Interface of Human Travel Path to Understand Human Mobility”, Paper DEMO

김창희, 한수민, 이동만, 지하철 이용패턴을 통한 역단위 장소성 추론, KCC 2022
Cao Long, Sumin Han, Dongman Lee, 인스타그램 게시물의 장면 그래프 적용을 통한 멀티모달 지도학습 기반 인간 활동 인식율 향상, KCC 2022

김수빈, 한수민, and 이동만. “서울시의 토지 이용에 따른 도로의 차량 속도의 상관관계 분석.” 한국정보과학회 학술발표논문집 (2021): 119-121. link
Marciniak, Zofia, Sumin Han, and Dongman Lee. “Understanding the impact of the Weather on Human Mobility via LTE Access Traces in Seoul Districts.” 한국 HCI 학회 학술대회 (2021): 615-618. link

정종구, 한수민, and 이동만. “인스타그램에서 나타나는 인간 활동 패턴의 연간 변화 분석(Analysis of Annual Changes in Human Activity Patterns on Instagram).” 한국 HCI 학회 학술대회 (2020): 723-726. link
안정미, 한수민, and 이동만. “인스타그램 데이터를 활용한 장소성 분석 및 시각화(Visualizing a Sense of Place Using Instagram Data).” 한국 HCI 학회 학술대회 (2020): 929-933. link

한수민, and 김명호. “베이지안 개인화 순위 방법 기반 대용량 이종 네트워크에서의 효율적인 랜덤 워크 순위 계산(Random Walk with Restart on a Large-scale Heterogeneous Network Based on the Bayesian Personalized Ranking).” 한국정보과학회 학술발표논문집 (2018): 889-891.APA link

이동만, 한수민, “다중지역특징 인식 시공간 대중교통 예측 시스템 및 그 방법 (SYSTEM AND METHOD FOR PREDICTING MULTI-LOCAL FEATURE RECOGNITION SPATIO-TEMPORAL PUBLIC TRANSPORT)”, 출원번호: 10-2023-0055885 (2023-04-28)
이동만 한수민, “도시 환경에서 LTE 셀 타워 액세스 트레이스를 이용한 일일 POI 이용 발견 방법 (Method of Discovering Daily POI Exploitation Using LTE Cell Tower Access Traces in Urban Environment)”, 출원번호: 10-2021-0047046 (2021-04-12), 등록번호: 10-25947500000 (2023-10-24)
이동만 김동민 한수민 손희석, “소셜 미디어 데이터에 대한 준 지도 멀티 모달 딥 임베디드 클러스터링을 이용한 인간 활동 인식 방법 (Method for Human Activity Recognition Using Semi-supervised Multi-modal Deep Embedded Clustering for Social Media Data)”, 출원번호: 10-2021-0009319 (2021-01-22), 등록번호: 10-25149200000 (2023-03-23)

Deep Urban: https://deepurban.kaist.ac.kr/ (Jan, 2023 ~)
- Urban Data and Code Sharing Platform (Main Server Manager).
- Urban Flow https://cdsnlab.github.io/urbanflow-documentation/: Ongoing project for providing easy API for urban researchers.
Satrec Initiative Co., Ltd. (Jul 2017 - Aug 2017 · 2 mos)
- Parallel Computing Framework Design
- Skills: Parallel Computing · MPI · CUDA · docker · CentOS
로톡 LAWTALK (Mar 2014 - May 2014 · 3 mos): Software Engineer
- Full-time SW developer
- Skills: JavaScript · HTML · PHP · Git · Node.js · MongoDB · Vim · Express.js · AngularJS · Agile Methodologies · Firebase

Cooking, Chess (sucern@chess.com)