Simonetta Liuti's research in theoretical nuclear and particle physics is aimed at answering the question of what generates the mass, spin and the internal spatial structure of nucleons and atomic nuclei in terms of their fundamental constituents, the quarks and gluons.
Gia-Wei Chern’s research interests are in theoretical condensed matter physics and Computational Physics. His research combines analytical modeling with numerical simulations to study emergent phenomena in many-body systems. His recent research efforts focus on applying modern machine learning and data science methods to study emergent properties of complex physical systems and in particular to enable large-scale dynamical modeling of quantum many-body systems.
Michael Engelhardt is a professor of theoretical nuclear physics at New Mexico State University, currently working primarily on Lattice QCD studies of hadron structure. His work focuses on transverse momentum-dependent parton distributions (TMDs), and their off-forward generalizations, GTMDs, within the Lattice Hadron Physics Collaboration (LHPC).
Huey-Wen Lin is a Taiwanese-American physicist and an American Physics Society Fellow. She uses supercomputers to calculate the quark and gluon structure of baryons and mesons. Her work helps experiments like those at the LHC and other nuclear physics facilities explore fundamental physics.
Matt Sievert is a theoretical nuclear physicist specializing in QCD at high energies, focusing on strong gluon fields, hadron structure, and experimental observables accessible through high-energy collisions at CEBAF, RHIC, and LHC. He is also advocating for the future Electron-Ion Collider (EIC).
Emmanuel Ortiz-Pacheco is a postdoctoral researcher in hadron physics, with expertise in phenomenology, Lattice QCD, and, more recently, Machine Learning techniques. He has studied several physical observables related to conventional mesons and baryons, as well as exotic states such as hidden charm pentaquarks and the doubly charmed tetraquark. The latter in particular computed from Lattice QCD, where the main focus was on computing the energy spectrum of both isospin the isoscalar and isovector channels together with the extraction of the scattering amplitude which is related to its cross section.
Liam Hockley is a postdoc at New Mexico State University and is involved in the EXCLAIM lattice QCD subgroup. His research includes computing moments of Generalised Parton Distributions from first principles lattice QCD, and leveraging machine learning models to explore regions of parameter space which are difficult to probe with direct lattice calculations.
Kemal Tezgin is a theoretical physicist specializing in hadronic physics, with a particular focus on Quantum Chromodynamics (QCD) and the internal structure of the nucleon. His research aims to understand how quarks and gluons contribute to the proton’s properties, including its momentum, spin, pressure, and shear forces. He is also actively involved in developing Monte Carlo event generators for exclusive processes, as well as conducting impact studies to assess how future data from the Electron-Ion Collider (EIC) can improve our knowledge of the nucleon’s partonic structure.
Saraswati Pandey is a Post-Doc at University of Virginia. She did her PhD in Heavy-Ion collisions at LHC energy regime from Banaras Hindu University, India. Then, she moved to Research Center for Nuclear Physics, University of Osaka, Japan as a Visiting Researcher where she was involved in the development and testing of new prototypes of Resistive Plate Chambers for better timing and position measurements. Her research interests are studying the properties and signatures of Quark-Gluon Plasma. At present she is keenly involved in learning and using machine learning algorithms to solve the problems dedicated to the mass, spin of nucleons.
Tareq Alghamdi is a Ph.D. student at ODU specializing in the intersection of machine learning and nuclear/high-energy physics. His research involves using Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs) to enhance data analysis in nuclear physics.
Joshua Bautista is a PhD student working on GPD Phenomenology, focusing on ways to extract GPDs from different scattering experiments.