DIGI-MAT Team

Harley Johnson, Director and Team Member

Harley Johnson

Director and Team Member

Associate Dean for Research, Grainger College of Engineering, University of Illinois
Professor, Department of Mechanical Science and Engineering, University of Illinois
Faculty Affiliate, National Center for Supercomputing Applications, University of Illinois

Professor Johnson studies the mechanics of electronic and photonic materials, the mechanics of nanostructures, and optical properties of materials. His group works on applications in many areas, including solar energy, microelectronics, sensing and detection, and materials processing. Their work relies on atomistic and continuum modeling methods to simulate multiphysics phenomena, with the goal of helping to design and interpret experiments.

Angela M. Slates, Coordinator and Team Member

Angela M. Slates

Coordinator and Team Member

Angela has a PhD in Education Policy and Organization Leadership from Illinois with a focus on equity and diversity issues in STEM education. She comes to the DIGI-MAT team with a background in higher education and K-12 program development and implementation, higher education teaching, community informatics, academic research, program evaluation, instructional design and community engagement.

Lorna Rivera, Evaluator and Team Member

Lorna Rivera

Evaluator and Team Member

Research Scientist, Georgia Institute of Technology

Rivera, a research faculty member at Georgia Tech, studies program evaluation with a special focus on the intersection of scientific content, pedagogy, and equity. She aims to do this work in both methodologically innovative and socially responsible ways.

Elif Ertekin, Team Member

Elif Ertekin

Team Member

Associate Professor; Andersen Faculty Scholar
Associate Professor, Mechanical Science & Engineering, University of Illinois
Anderson Faculty Scholar

Professor Ertekin's research focuses on computational materials design, mechanical properties at the nanoscale, electronic properties of materials for energy storage and conversion, nanoscale phase transitions, properties of interfaces between dissimilar materials and defect-property relationships for materials.

Pinshane Y. Huang, Team Member

Pinshane Y. Huang

Team Member

Assistant Professor, Materials Science and Engineering, University of Illinois

Professor Huang's current research is focused around transmission electron microscopy and spectroscopy of two-dimensional materials and soft-hard interfaces. Her work has produced iconic images showing how defects occur in atomically thin materials such as graphene, 2D semiconductors, and silica glass.

Bo Li, Team Member

Bo Li

Team Member

Professor and Chair, Data Science Founder Professorial Scholar, Department of Statistics, University of Illinois
Faculty Affiliate, National Center for Supercomputing Applications, University of Illinois

Dr. Li's research mainly focuses on spatial and spatio-temporal statistics and environmental statistics concerning problems in climatology, atmospheric sciences, public health, forestry and agriculture.

Klara Nahrstedt, Team Member

Klara Nahrstedt

Team Member

Ralph and Catherine Fisher Professor, Department of Computer Science, University of Illinois
Director of the Coordinated Science Laboratory, University of Illinois

Professsor Nahrstedt's research interests are directed toward trustworthy multimedia distributed systems and networking, quality of service (QoS) and resource management in Internet and mobile systems, real-time security in wireless networks for trustworthy power grids, edge-cloud systems, cyber-physical system security for electric vehicles, health systems, 3D tele-immersive systems, and advanced edge-cloud-based cyber-infrastructures for scientific instruments.

Luke Olson, Team Member

Luke Olson

Team Member

Professor, Computer Science, University of Illinois
Willett Faculty Scholar

Professor Olson's research interests are in the areas of scientific computing and numerical analysis. His work focuses on numerical methods for partial differential equations, such as finite element methods, and sparse matrix solvers that arise in these settings.

André Schleife, Team Member

André Schleife

Team Member

Assistant Professor, Materials Science and Engineering, University of Illinois

Professor Schleife's research group uses advanced computation to understand and predict the intricate interplay of charge, spin, and lattice degrees of freedom with external excitations for materials in electronic and energy applications and under extreme conditions. He studies electronic excitations, triggered by interaction with electromagnetic and particle radiation, and subsequent femto-second relaxation processes.

Dallas R. Trinkle, Team Member

Dallas R. Trinkle

Team Member

Willett Faculty Scholar and Professor in Materials Science and Engineering, University of Illinois
Associate Head of Materials Science and Engineering, University of Illinois

Professor Trinkle's research focuses on computational methods for studying defects in materials at the atomic-scale using density-functional theory, and novel techniques to understand problems in mechanical behavior and transport. This has led to ab initio predictions of solid-solution softening in molybdenum, solute strengthening and softening in magnesium alloys, pipe diffusion of hydrogen in palladium, diffusion of oxygen in titanium and solutes in magnesium, among others.

Matthew Turk, Team Member

Matthew Turk

Team Member

Research Assistant Professor, Department of Astronomy, University of Illinois
Faculty Affiliate, National Center for Supercomputing Applications, University of Illinois

Professor Turk's research focus is on data analysis and visualization, social structures of academic software communities, information transmission through software, formation of the first stars and galaxies, primordial chemistry, high-performance computing and computational simulations and analysis and visualization of astrophysical data.

Lucas K. Wagner, Team Member

Lucas K. Wagner

Team Member

Assistant Professor, Physics, University of Illinois

Professor Wagner's research focuses on using high performance computation to simulate complex systems, and draw physical insights from those simulations. He uses quantum Monte Carlo calculations to accurately describe the wave functions of realistic models of electrons and nuclei, including correlations between electrons explicitly.