Seminar Series: Dr. Li An

Location: Blocker 220 and Zoom Dr. Li An is the Solon & Martha Dixon Endowed Professor at the College of Forestry, Wildlife and Environment and the Director of the Center for Human-Earth System Science (Center URL) at Auburn University. He received his B.S. degree from Peking University (Economic Geography), China, M.S. degree from Chinese Academy […]

Seminar Series: Dr. JungHyun Han

JungHyun Han is a professor at Korea University, where he directs the Superintelligence Research Center. His research interests lie in computer graphics and virtual/augmented realities. Location: Blocker 220 and Zoom Augmented Reality Applications for Air Conditioner and Construction Industries In this talk, Professor Han presents two AR applications: a mobile AR system for visualizing airflow […]

Spring 2025 Scientific Machine Learning Workshop

Location: Rudder 302 Time: 8:30 am – 4:30 pm We are excited to invite you to our one-day Scientific Machine Learning Workshop, where you’ll have the opportunity to delve into the latest advancements and applications of AI, machine learning, and data science in scientific research. This workshop is designed for students, researchers, and faculty, offering […]

Seminar Series: Dr. Sriraam Natarajan

Dr. Sriraam Natarajan is a Professor and the Director of the Center for ML at the Department of Computer Science at the University of Texas, Dallas. His research interests include Artificial Intelligence, with an emphasis on Machine Learning, Statistical Relational Learning and AI, Reinforcement Learning, Graphical Models, and Biomedical Applications. He has won several awards, including […]

Seminar Series: Dr. Namgyun Kim

Dr. Kim is an Assistant Professor in the Department of Construction Science (COSC) at Texas A&M University (TAMU), where he earned his Ph.D. in COSC. Prior to returning to TAMU, he served as an Assistant Professor in the Department of Civil Engineering at the University of Dayton from 2022 to 2024. His research focuses on […]

Scientific Machine Learning (SciML) Summer School 2025 

Location: Texas A&M University, Blocker Building, Room 220 & 102 This free five-day summer school is designed to introduce graduate students to the fundamentals of Physics-Informed Neural Networks (PINNs) and Scientific Machine Learning (SciML). The first three days will focus on foundational concepts in PINNs, structured into morning theory sessions followed by afternoon hands-on tutorial […]

Dynamics-based Model Reduction of Nonlinear Systems: Data-free and Data-assisted Techniques 

Shobhit Jain is a tenured Assistant Professor of Applied Mathematics at Delft University of Technology. He earned his undergraduate degree in Mechanical Engineering from IIT Roorkee, his MS degrees in Mechanical Engineering and Applied Mathematics from TU Delft, and his doctoral degree from ETH Zurich. Shobhit has had industrial stints at several engineering firms, gathering […]

Advanced Computing Workshop

This workshop focuses on Hybrid MPI-CUDA Programming for Massively Parallel Applications on Large GPU Clusters and will prepare Texas A&M researchers to use the Launch cluster and the upcoming NVIDIA DGX H200 Superpod purchased by the Texas A&M University System Workshop Overview Prerequisites and Preparation Learning Objectives Travel Support Workshop Organizers REGISTRATION CLOSED Workshop Overview […]

HPRC Launch Beginner Workshop

This workshop is intended to help researchers who are new to the High Performance Research Center environment utilize Launch, our latest Linux supercomputer at Texas A&M University. About Launch At Texas A&M University’s High Performance Research Center (HPRC), Launch is our most recently built supercomputer, designed to help all researchers, especially those who are new […]

Innovative AI Tools and Resources Showcase

Location: Chevron Rooms 299, Zachry Building Date: August 19, 2025 Time: 9:00 AM – 1:30 PM This showcase is a community-based event for faculty, staff, and upper-level graduate students to learn about new AI resources. Expert speakers will be sharing tools they have used to improve their teaching and research, and will lead discussions on […]