Organizers

Sai is currently an Assistant Professor in the Departments of Computational Mathematics, Science and Engineering (CMSE) & Biomedical Engineering and leads the Signals, Learning, and Imaging (SLIM) Group at MSU. His research interests include signal & image processing, computational & biomedical imaging, data-driven systems, machine learning, signal modeling, inverse problems, compressed sensing, dictionary learning, data science, image analysis, and large-scale data processing & optimization.

Tyler Wheeler is a fixed-term Assistant Professor in the Department of Computational Mathematics, Science and Engineering (CMSE) at Michigan State University (MSU). His research focuses on algorithm development and machine learning applications for nuclear physics research. He earned his B.S. in Physics from Grand Valley State University, where he investigated molecular networks and metal-organic frameworks using positron annihilation lifetime spectroscopy. Tyler obtained a dual PhD in Physics and CMSE from MSU, where his work at the Facility for Rare Isotope Beams (FRIB) marked a shift toward experimental nuclear astrophysics. His research at FRIB focused on the thermonuclear rate of the 15O(α, γ)19Ne reaction by measuring the beta delayed charged particle emissions in the decay of 20Mg.  Tyler contributed to the design and construction of the upgraded GADGET II time projection chamber (TPC), with which the data for these measurements was acquired at FRIB. His work also explored innovative deep learning applications for analyzing TPC data.

Longxiu Huang is an Assistant Professor in Department of Computational Mathematics, Science and Engineering (CMSE) and Department of Mathematics at Michigan State University. Prior to this, She was an Assistant Adjunct Professor at UCLA Department of Mathematics. Her research specializes in Data/Signal Processing, Applied Harmonic Analysis, Machine Learning, Random Matrix/Tensor analysis, Dynamical Sampling, Optimization etc.

Prof. Murillo is a theoretical and computational physicist with expertise in simulating interacting systems of particles at the microscopic scale (molecular dynamics), mesocale (kinetics and hydrodynamics), and people (agent-based modeling). After receiving his PhD in Physics from Rice University, his career began as a Director's Postdoctoral Fellow in the Theoretical Division at Los Alamos National Laboratory (LANL), where he later became a staff scientist for many years. During his time at LANL, he held visiting scholar positions at Harvard University and the University of California, Berkeley. Currently, Prof. Murillo holds a joint appointment in the Computational Mathematics, Science and Engineering (CMSE) and Chemical Engineering and Materials Science (CHEMS) departments at Michigan State University. His recent research has made significant contributions to the understanding of fusion energy and the spread of disinformation. He has more than 120 peer-reviewed publications, is a Fellow of the American Physical Society and serves on the Editorial Advisory Board for Physical Review E.