Dr. Irina Tezaur is a Distinguished Member of Technical Staff (DMTS) in the Quantitative Modeling & Analysis Department at Sandia National Laboratories in Livermore, CA. From 2014 to 2021, she was a Principal Member of the Technical Staff (PMTS) in the same department. From 2011 to 2014, she was a Senior Member of Technical Staff (SMTS) in the Computational Mathematics Department at Sandia in Albuquerque, NM. She received her Ph.D. in Computational and Mathematical Engineering (CME) from Stanford University in 2011. While a Ph.D. student at Stanford, she had the opportunity to work part time and during the summers as a Graduate Technical Intern in Sandia Albuquerque’s Aerosciences Department. In 2019, she received the Presidential Early Career Award for Scientists and Engineers (PECASE) for developing new, impactful mathematical methods and computer algorithms to enable real-time analysis, control, and decision-making on computationally prohibitive problems relevant to nuclear security missions and climate modeling. Her research interests include Numerical solutions to PDEs, Enriched finite element methods, Stability and convergence properties of numerical methods, Reduced Order Modeling, Climate modeling, Multi-scale coupling methods, Performance portability of codes to next-generation architectures, Scientific computing/HPC, and Software engineering.

Dr. Michael Parks received his Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign in 2005. His research interests include computational mathematics, numerical linear algebra, linear solvers, multiscale modeling, and peridynamics. Dr. Parks is currently the manager of the computational mathematics department in the Center for Computing Research at the Computer Science Research Institute at Sandia National Laboratories. He is an associate editor for the SIAM Journal on Numerical Analysis and Journal of Peridynamics and Nonlocal Modeling.

The lead PI of the Consortium (Vorobieff) has experience of work on DOE projects spanning more than 20 years, leading transformational research (including the 2011 discovery of shock-driven multiphase instability, SDMI [10]) and overseeing large collaborative projects such as the recent DOD grant combining the efforts of three universities (UNM, NMT, UC Davis) to develop reduced-order models of multiphase/multiphysics phenomena. The successful UNM-NMT collaboration established by this grant will continue within the proposed consortium to provide high-quality validation data essential for developing numerical models.

Dr. Svetlana Poroseva, UNM Co-PI, is a physicist with more than 30 years of creative contribution in modeling and simulation of turbulent and transitional flows, uncertainty analysis, multi-model predictions with quantified uncertainty, and bio-inspired designs. She is an AIAA Associate Fellow and served as PI on multiple grants, including but not limited to those from NASA, LANL, and INL and Co-PI on those from NSF, DTRA, and ONR. Recent studies also include simulations of flows with aerosols and shock interaction with fluid interfaces. In particular, the state-of-the-art CFD code FIESTA ready for exascale platforms has been recently developed under her advice. This code will be further developed and validated under this award.

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Dr. Krishna Kota, Co-PI, is a thermal science researcher at NMSU studying the heat transfer and fluid flow phenomena in porous media (such as metal hydride beds, metal, and non-metal foams and meshes, sintered and particulate beds, etc. similar to nuclear materials and components) and the high-temperature and surface engineering effects on thermal-fluid transport phenomena with applications in thermal management of nuclear reactor rods and high-energy lasers. Graduate students supported under the MSIPP program will work in these areas while at NMSU. In addition, Kota will work with the rest of the team to ensure the alignment of Research Tasks 9 and 10 with the project's overarching goal.

Dr. Michael Hargather is an Associate Professor of Mechanical Engineering at the New Mexico Institute of Mining and Technology (New Mexico Tech, NMT). Dr. Hargather’s research efforts focus on developing experimental measurement techniques for characterizing high-speed fluid dynamics and turbulent mixing in supersonic and explosively-driven flows. He has worked extensively with SNL and Lawrence Livermore National Laboratory (LLNL) to develop quantitative optical measurements of fluid density, flow velocities, shock wave propagation, and structural response to blasts. His work integrates high-speed digital imaging with image processing method development to extract quantities of interest. In addition, Dr. Hargather currently actively mentors ten graduate students and five undergraduate students on research funded by the Department of Energy and Department of Defense and teaches relevant graduate and undergraduate classes.

Dr. Kumar’s research goal is to develop and integrate cutting-edge computational tools for complex engineering and science challenges by leveraging Exascale/High Performance Computing (HPC), machine learning and artificial intelligence, data analytics/bigdata concepts, Uncertainty Quantification (UQ), and leading-edge computational capabilities. His research group has focused on real-life and fundamental thermal-fluid applications coupled with crosscutting domains such as structure dynamics, solid mechanics, biomedical engineering, hypersonic. The group uses Computational Fluid Dynamics (CFD) and Fluid-Structure Interactions (FSI) with HPC algorithms on massively parallel supercomputers. Research activities include multiple interdisciplinary projects including developing flow conductance model porous core at pore level for CO2 sequestration, studying effects nanoparticles/coatings on thermal energy storage systems in Concentrating Solar Power (CSP) system, and FSI analysis Deep Venous Thrombosis (DVT), CFD-Discrete Element Modeling (CFD-DEM)/Multiphase Simulations, laser propagation characterization for Air Force Remote Sensing/Directed Energy applications, exascale computing, biomass gasification, long-term weather forecast, turbulence modeling, and FSI analysis of flexible membranes. 

Arturo Bronson graduated in Metallurgical Engineering in 1970 from The University of Texas at El Paso (UTEP), and completed his Masters at UTEP in 1972. In 1977, he received his Ph.D. from The Ohio State University in metallurgical engineering with an emphasis in high temperature thermodynamics and immediately joined the faculty at the University of Arizona. At the University of Arizona, he developed a corrosion research effort along with his undergraduate and graduate teaching in thermodynamics, kinetics and chemical metallurgy. After he moved to the University of Texas at El Paso in 1983, he developed a strong research group in corrosion and high temperature research and became the Director of the Materials Center for Synthesis and Processing from 1995 to 2000 with fifteen faculty and approximately 32 students/year. He was also program director in the Division of Human Resource Development of the Education Directorate at the National Science Foundation (NSF) in 1993. The main thrusts of Arturo Bronson’s research have focused in the chemical interactions of high temperature materials at 1000-1800°C. Professor Bronson also investigates corrosive wear, a relatively new research area, using the concepts of electrochemistry, surface deformation, and material microstructure, as well as infusing statistics and mathematical modeling through an interdisciplinary approach to aid in predicting material behavior. The National Science Foundation (NSF) has continually supported his research since 1984 with additional funds acquired from the Air Force Materials Laboratory, NASA, Army Research Office, Sandia National Laboratories, Los Alamos National Laboratory, and Air Force Office of Scientific Research.

Professor Arturo Bronson's teaching methodology and philosophy emphasize the development of the understanding of basic concepts as applied to solving current scientific and engineering challenges. Professor Bronson has used the materials research laboratory with undergraduate and graduate students working and learning together to reinforce the application of basic concepts (e.g., thermodynamics, kinetics and transport phenomena). An achievable goal is that for every graduate student, an undergraduate is associated with him or her to support university research -- a practice initiated by Professor Bronson at the university and now integrated into the university education of scientists and engineers. In 2003, he was awarded the Men in Science Award for his excellence in teaching and research in materials science and engineering from the Quality Education for Minorities Network.

Arturo, active in the Minerals, Metals and Materials Society, was 1997 chair of the editorial board for the premier publication in metallurgy, Metallurgical and Materials Transactions B. He is also active in the Electrochemical Society and the National Association of Corrosion Engineers (NACE) for which he served as symposium chair of the conference on “Techniques for Corrosion Measurement.” He has served on several NSF review panels primarily for the Division of Human Resource Development and Division of Materials Research. Arturo was appointed (1997-2000) to the Committee on Equal Opportunities in Science and Engineering (CEOSE), an Advisory Committee to the Director of NSF; in 1998, he served as chair of CEOSE. He was appointed to NSF’s Advisory Committee for Mathematical and Physical Sciences (10/1999-9/2002) and NSF awarded him with an outstanding service award. 

Dr. Sharma's research focuses on developing numerical methods for solving differential equations with applications in material sciences and drug delivery systems. 

Dr. Tandon’s research centers on the sustenance of community requires resilient infrastructure that enhances productivity, minimizes disruptions under stressed conditions, extends the life of existing infrastructure, and minimizes the frequency of maintenance. His main expertise lies in the development and evaluation of innovative, sustainable materials for highway infrastructure that generate minimal carbon footprint, including sustainable modification of existing materials like asphalt, aggregate, asphalt concrete, soils, and PCC, and development of new materials like geopolymer. He also has expertise in the evaluation of the impact of extreme climate events on transportation infrastructure (like flooding), the use of computational science for evaluating complex infrastructure materials, and the use of sustainable development approaches for smart cities. He has received major funding through the Texas Department of Transportation (TxDOT), as well has from sources like Federal Highway Administration, National Cooperative Highway Research Program, US Department of Transportation. Dr. Tandon has successfully collaborated with faculty within the department, outside the department, and from other universities to promote sustainable development. 

Dr. Tosh is an assistant professor in Computer Science at the University of Texas at El Paso. His research interests include Blockchain technology, cybersecurity, data provenance mechanisms, security of Internet of Battlefield Things (IoBT) environments, distributed system security, cyber-threat information sharing, cyber-insurance, cyber-risk assessment, game theory and mechanism design, and nature-inspired optimization techniques. He has been actively working with researchers from Air Force Research Lab (AFRL), Rome, NY and Army Research Lab (ARL), Adelphi, MD on the cybersecurity and blockchain research. Although the traditional centralized computing paradigm works well at present, the trust, privacy, and security issues are the main bottlenecks, which were overlooked. With a growing connectedness in our communities and increasing standards of cyber-crimes, security challenges are the must things to be addressed. With these motivations, Dr. Tosh has aligned his research focus in designing secure, decentralized, and scalable solutions for both civilian application (e.g. Internet of Things, Cloud and Edge computing platforms) and military/battlefield environments.