Soumya Dutta
Indian Institute of Technology Kanpur (IIT Kanpur)
Title: Visual Computing of Scientific Data using Uncertainty-aware Deep Learning Models
Bio: Soumya Dutta is an Assistant Professor in the Department of Computer Science and Engineering (CSE) at the Indian Institute of Technology, Kanpur (IITK), INDIA.
Dr. Dutta obtained his Ph.D. degree in Computer Science and Engineering from the Ohio State University in May 2018 where he was part of the GRAVITY research group.
After his doctoral studies, Dr. Dutta worked as a postdoctoral researcher at the Applied Computer Sciences group (CCS-7) of Los Alamos National Laboratory (LANL) from June 2018-July 2019.
Then he was converted to a full-time scientist in the Information Sciences group (CCS-3) at LANL where he worked from July 2019 - August 2022.
His current research interests are Machine/Deep Learning for Visual Computing, Scientific Computing, Uncertainty Visualization, xAI, Big Data Analytics, and HPC. Contact him at soumyad@cse.iitk.ac.in.
Han Huang
National Taiwan Normal University
Title: Uncertainty-aware deep learning-supported distribution-based scientific data representation
Bio: Han Huang is currently a research assistant, supervised by Prof. Ko-Chih Wang, at the National Taiwan Normal University.
He received both bachelor's and master's degrees from National Taiwan Normal University. His research focus on deep learning and scientific data visualization.
ChingTeng Lee
Central Weather Administration
Title: Enhance CorrDiff-Optimizing and Improving the Robustness in Downscaling
Bio: Dr. Lee received his Ph.D. in Atmospheric Sciences from National Taiwan University in 2004. He serves as an researcher in Central Weather Administration, Taiwan. His research focuses on climate service including sub-seasonal to seasonal forecast and climate application.
