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

Tuesday, May 16, 2023. (10:00 AM)

TBA

Seonjoo Lee, Columbia University

Tuesday, May 9, 2023. (10:00 AM)

TBA

Wooseok Ha, Amazon Web Services

Tuesday, May 2, 2023. (17:00 PM)

TBA

Jongbaek.Song, Pusan National University

Thursday, April 27, 2023. (17:00 PM)

TBA

Wai-Sun Don, Ocean University of China

Tuesday, April 25, 2023. (17:00 PM)

TBA

Kyemyung Park, UNIST

Tuesday, April 18, 2023. (17:00 PM)

TBA

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

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