Skip to content
ABOUT US
NEWS
PEOPLE
RESEARCH
EDUCATION
EVENTS
Minds activities
SEMINAR
CONFERENCE/WORKSHOP
OUTREACH
GALLERY
Menu
Toggle Navigation
Toggle Navigation
Search for...
ABOUT US
NEWS
PEOPLE
RESEARCH
EDUCATION
EVENTS
Minds activities
SEMINAR
CONFERENCE/WORKSHOP
OUTREACH
GALLERY
Contact Now
MINDS SEMINAR OVERVIEW
MINDS Seminar Series on Data Science, Machine Learning and Scientific Computing
Every Tuesdays 5:00 PM
MINDS Graduate Seminar & Gathering
– by graduate students (Pizza & Drink Provided)
TBD
MINDS Happy Hour (MINDS Gathering)
–
Click
(Meeting ID: 688 896 1076 | Password: 54321)
Last Thursday of Every Month 5:00PM
Spring 2023 SEMINAR SERIES on DS, ML & SC
Upcoming seminars
Monday, November 13, 2023. (15:30 PM)
Kloosterman Sums for SL3 long word element
Eren Mehmet Kiral, Keio University_ Japan
Tuesday, October 17, 2023. (17:00 PM)
Dual finite element methods for singularly perturbed reaction-diffusion problems.
JaEun Ku, Oklahoma State University
Previous seminars (Spring 2023)
Friday, August 11, 2023. (16:00 PM)
Topological State-Space Estimation of Dynamically Changing Functional Brain Networks
Moo Kyung Chung, University of Wisconsin-Madison
Wednesday, August 09, 2023. (15:00 PM)
What does the existence of multiple scales in forecast error mean?
Hyo-Jong Song, Myongji University
Wednesday, July 26, 2023. (14:00 PM)
Review Seminar: Score-based Generative Modeling Through Stochastic Differential Equations
Woojin Choi, KAIST
Tuesday, July 18, 2023. (16:00 PM)
A Study on Automatic Music Composition Methodology in the 17th Century: Focusing on Kircher’s ‘Arca Musarithmica’ (17세기 자동 음악 작곡 방법론에 대한 연구: 키르허의 ‘Arca Musarithmica’를 중심으로)
Eunji Park, Seoul National University
Tuesday, May 30, 2023. (10:00 AM)
Adversarial robustness vie optimal transport theory
Jakwang Kim, University of Wisconsin-Madison
Tuesday, May 23, 2023. (17:00 PM)
Advancing model reduction techniques: deep learning approaches for homogenization and reduced order modeling
Jun Sur Park, KAIST
Monday, May 22, 2023. (17:00 PM)
Wearable data science for personalized digital medicine
Dae Wook Kim, University of Michigan
Tuesday, May 16, 2023. (10:00 AM)
On the missing values in multimodal fusion for neuroimaging data
Seonjoo Lee, Columbia University
Wednesday, May 10, 2023. (16:00 PM)
Data Driven Modeling of Unknown Systems with Deep Neural Networks
Dongbin Xiu, Ohio state university
Tuesday, May 9, 2023. (10:00 AM)
Prominent Roles of Conditionally Invariant Components in Domain Adaptation: Theory and Algorithms
Wooseok Ha, Amazon Web Services
Tuesday, May 8~9, 2023. (13:00 PM)
Joint seminar for probability and mathematical biology
Tuesday, May 3, 2023. (09:30 AM)
From Physics-Informed Machine Learning to Physics-Informed Machine Intelligence: Quo Vadimus?
George Em Karniadakis, The Charles Pitts Robinson and John Palmer Barstow Professor of Applied Mathematics and Engineering, Brown University
Tuesday, May 2, 2023. (17:00 PM)
Stability theorem of bigraded persistence barcodes
Jongbaek.Song, Pusan National University
Thursday, April 27, 2023. (17:00 PM)
Affine-invariant WENO weights and their applications in solving hyperbolic conservation laws
Wai-Sun Don, Ocean University of China
Tuesday, April 25, 2023. (17:00 PM)
Predicting and controlling complex immune behavior to cure immune-related diseases using computational modeling
Kyemyung Park, UNIST
Tuesday, April 18, 2023. (17:00 PM)
BAYESIAN ROBUST LEARNING IN CHAIN GRAPH MODELS
Minjin Ha, Yonsei University
Tuesday, April 11, 2023. (10:00 AM)
Solving PDEs with DUNE and DUNE-FEM
Robert Klöfkorn, Lund University
Tuesday, March 21, 2023. (17:00 PM)
Numerical approximation of PDEs via deep neural networks: analysis and computation
Seungchan Ko, Inha University
Wednesday~Friday, March 15~17, 2023. (17:00 PM)
Special Lecture on Graph Neural Networks – “Self-Supervised Graph Neural Networks and Applications”
Woojin Choi, KAIST
Previous seminars (Fall 2022)
Tuesday, December 13, 2022. (17:00 PM)
Towards Trustworthy Scientific Machine Learning: Theory, Algorithms, and Applications
Yeonjong Shin, KAIST
Tuesday, December 6, 2022. (10:00 AM)
Tractable continuous approximations in feature and constraint selection problems
Miju Ahn, Southern Methodist University
Tuesday, November 29, 2022. (10:00 AM)
Towards realistic synthetic single-cell RNA sequencing generation with deep learning
Ali Heydari, UC Merced
Tuesday, November 22, 2022. (10:00 AM)
Using Persistent Homology Topological Features to Characterize Medical Images: Case Studies on Lung and Brain Cancers
Chul Moon, Southern Methodist University
Tuesday, November 15, 2022. (10:00 AM)
인더스트리 데이터과학의 실제
Joonsuk Park, Amazon
Tuesday, November 8, 2022. (10:00 AM)
Early Tsunami Warning using Convolutional Neural Networks
Donsub Rim, Washington University in St. Louis
Tuesday, November 1, 2022. (17:00 PM)
Low-quality Fake Audio Detection through Frequency Feature Masking
Il Youp Kwak, Chung Ang University
Tuesday, October 25, 2022. (10:00 AM)
Scalable Bayesian inference for high-dimensional regression
Gyuhyeong Goh, Kansas State University
Tuesday, October 18, 2022. (17:00 PM)
Graph Neural Networks and Their Applications to Learning of Recommender Systems
Won-Yong Shin, Yonsei University
Thursday, September 22, 2022. (17:00 PM)
Deep Learning-based Search for Microlensing Signature From Binary Black Hole Events in GWTC-1 and -2
Kyungmin Kim, Ewha Womans University
Previous seminars (Spring 2022)
Tuesday, March 8, 2022. (17:00 PM)
Graph representations: Weisfeiler-Lehman tests, convolution, and topological data analysis
Sun Woo Park, NIMS
Tuesday, March 15, 2022. (17:00 PM)
Neural network approach to data-driven estimation of the Patlak-Keller-Segel model
Sun Woo Hwang, POSTECH MINDS
Tuesday, March 22, 2022. (11:00 AM)
Optimal transport for omics data analysis
Zixuan Cang, NSCU
Tuesday, March 29, 2022. (17:00 PM)
When Data Met Contents
Changjin Han, SBS
Tuesday, April 5, 2022. (10:00 AM)
Scalable protein-DNA binding changer test for insertion and deletion of bases in the genome
Sunyoung Shin, UT Dallas
Tuesday, April 12, 2022. (17:00 PM)
GWAS and Mendelian randomization in medicine
Honghee Won, Sungkyunkwan University
Tuesday, April 19, 2022. (17:00 PM)
Diffusion Monte Carlo methods; First- and Last-passage algorithms
Chiok Hwang, GIST
Tuesday, April 26, 2022. (10:00 AM)
Mathematical approaches to overcome limited temporal data in clinical applications
Heyrim Cho, UC Riverside
Tuesday, May 3, 2022. (17:00 PM)
Voronoi diagrams in the presence of obstacles
Heekap Ahn, POSTECH
Tuesday, May 17, 2022. (17:00 PM)
Fingerprint image restoration algorithm using a fourth-order partial differential equation
Junseok Kim, Korea University
Tuesday, May 24, 2022. (10:00 AM)
Stochastic Multiscale Simulation Methods for Reactive Microfluids and Heterogeneous Catalysts
Changho Kim, UC Merced
Tuesday, May 31, 2022. (16:00 PM)
Introduction to matrix and tensor factorization models and related stochastic nonconvex and constrained optimization algorithms
Hanbaek Lyu, University of Wisconsin
Tuesday, May 31, 2022. (16:40 PM)
Prediction and Estimation of Diabetes with a Mathematical Model
Joon Ha, Howard University
Tuesday, May 31, 2022. (17:20 PM)
머신러닝이 주도하는 보험산업의 변화
Sungjun Kim, Samsung Fire & Marine Insurance
Monday, July 11, 2022. (13:00 PM)
Deep Learning-based Search for Lensed Gravitational-Wave Signals from Binary Black Hole Events in GWTC-1 and -2
Kyungmin Kim, Ewha Womans University
Wednesday, August 17, 2022. (13:00 PM)
Analysis of Objective Prism Spectra
Wonseok Kang, SpaceBeam Inc.
Previous seminars (Fall 2021)
Tuesday, September 28, 2021. (10:00 AM)
How Do Bacteria Swim? Modeling, Simulations, and Analysis
Sookkyung Lim, University of Cincinnati
Tuesday, October 5, 2021. (17:00 PM)
Cultural Technology and Artificial Intelligence in the Era of the 4th Industrial Revolution
Young Sub Shim, Dankook University
Thursday, October 14, 2021 (17:00 PM)
Bayesian Inference of Biochemical Reactions with Delays
Boseung Choi, Korea University
Tuesday, October 19, 2021 (10:00 AM)
Data-driven Forecast of Random Dynamical System Using Recurrent Generative Adversarial Network
Kyongmin Yeo, IBM
Tuesday, October 26, 2021 (17:00 PM)
Giving Geometry to Data
Shizuo Kaji, Kyushu University
Tuesday, November 2, 2021 (17:00 PM)
Reduced Order Modeling Based on POD and Deep Learning for Parameterized Feedback Control Problems of Fluid Flows
Hyung Chun Lee, Ajou University
Tuesday, November 9, 2021 (10:00 AM)
Data-driven ODEs/PDEs from Microsopic Data: What and How Can We Learn Them from Data?
Seungjoon Lee, San Jose State University
Tuesday, November 16, 2021 (17:00 PM)
Optimization of Deep Learning Algorithm
Yoonsuk Hyun, Inha University
Tuesday, November 23, 2021 (10:00 AM)
Topological Data Analysis of Zebrafish-skin Patterns
Alexandria Volkening, Purdue University
Tuesday, November 30, 2021 (17:00 PM)
Anomaly Pattern Extraction Technique and Number Theory Vertex Algebra Interpretation Appearing in Linear Algebra Matrix Calculation: Cognitive Image Processing
Jay Min Lee, POSTECH
Tuesday, December 7, 2021 (17:00 PM)
A Derivative-Free Loss Method for Solving Elliptic and Parabolic PDEs with Deep Neural Networks
Jihun Han, Dartmouth College
Tuesday, December 14, 2021 (17:00 PM)
온라인 실험 및 실험 플랫폼 소개
Minyong Lee, Banksalad
Previous seminars (Spring 2021)
Tuesday, March 2, 2021
Learning to Solve Forward and Inverse Problem in Imaging and Scientific Computing
Bin Dong, Pecking University
Tuesday, March 9, 2021
Scientific Machine Learning in Geoscience Applications
Jonghyun “Harry” Lee, University of Hawaii
Tuesday, March 16, 2021
Integration Preconditioning Matrices for Multidomain Pseudospectral Advection and Diffusion Operators
Chun-Hao Teng, National Chung-Hsing University
Tuesday, March 23, 2021
Machine Learning Applications in Gravitational Wave Data Analysis
Sanghoon Oh, National Institute for Mathematical Sciences (NIMS)
Tuesday, March 30, 2021
Introduction to Knowledge Gradient
Donghun Lee, Korea University
Tuesday, April 6, 2021
Topological Inference and Learning for Brain Networks
Moo K. Chung, University of Wisconsin
Tuesday, April 20, 2021
Error Inhibiting Methods with Post-Processing for Ordinary Differential Equations
Adi Ditkowski, Tel Aviv University
Tuesday, April 27, 2021 (10:00 AM)
Information Theory and Reduced-order Modeling of High Dimensional Dynamical Systems
Yoonsang Lee, Dartmouth College
Tuesday, May 4, 2021
Multigrid Methods for Vector Field Problems
Duksoon Oh, Chungnam National University
Tuesday, May 11, 2021 (This seminar has been rescheduled to June 8)
모빌리티 인텔리전스의 현재와 미래
Seungil You, KaKao Mobility
Tuesday, May 18, 2021
A Framework for Machine Learning with Persistent Homology
Ippei Obayashi, RIKEN
Tuesday, May 25, 2021
Topological Data Analysis (TDA) Based Machine Learning for Drug Design
Kelin Xia, Nanyang Technological University NTU
Tuesday, June 1, 2021
How to Handle a Small Parameter in Computational Science: from Numerical Analysis to Deep Learning
Youngjoon Hong, San Diego State University
Tuesday, June 8, 2021
모빌리티 인텔리전스의 현재와 미래
Seungil You, KaKao Mobility
VIEW ALL SEMINARS