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Dr. Slavica Grdanovska is an Associate Scientist at Fermilab working on proof-of-concept studies to enable applications in radiation processing that require high power beam accelerators. Dr. Grdanovska earned both her MS and PhD in nuclear engineering from the University of Maryland. Her graduate work focused on development, testing and characterization of novel sensors capable of measuring deformation of nuclear materials during nuclear reactor operations. Having completed her education and training in a radiation-related discipline, Slavica has gained experience in a wide range of research topics related to accelerated radiation assisted testing and characterization of novel material systems for various applications, radiation chemistry in extreme environments, radiation dosimetry, nuclear reactor instrumentation, and radiation polymer science. Her work has been published in the Journal of Nuclear Materials, International Journal of Radiation Biology, Radiation Physics and Chemistry and the IAEA.
Dr. Sujit Bidhar graduated with his PhD in mechanical engineering from the University of Tokyo in 2012 specializing in fatigue, fracture mechanics, and finite element modelling in aluminium die cast. He is currently working at Fermilab where he is involved in new target material research and development, developing material models for future high energy beam target materials subjected to thermal shock, and nuclear irradiation damage to predict target lifetime. Dr. Bidhar has set up a lab-scale electrospinning unit and successfully fabricated different ceramic, metallic, and polymeric nanofibers; he is currently designing micromechanical experiments to evaluate single nanofiber mechanical properties using SEM, FIB, and AFM techniques. In the past, he has worked at the University of Tokyo as a researcher in the field of impact analysis on jet engine turbine blade made up of FRP composites, large scale finite element simulation on super computers using LS-DYNA. He has research interest and experience in computational mechanics, solid mechanics, structural analysis, fatigue and fracture, stress analysis, very large scale finite element simulations, image Based Finite Element Method using ANSYS,VOXELCON,LS-DYNA,ABAQUS, FrontISTR,HYPERMESH, MATLAB, Fatigue testing, X-ray CT. He also has experience in conducting experiments at high temperature and pressure environment, various metallurgical laboratory works, SEM micrographs, EDX, RAMAN spectroscopy, Slow strain rate tests.
A senior research fellow in the Biosciences Center, Dr. Michael Himmel has more than 35 years of experience in conducting, supervising, and planning research in: protein biochemistry, recombinant technology, enzyme engineering, new micro-organism discovery, and physicochemistry of macromolecules.
Dr. Himmel has supervised research that targets the application of site-directed mutagenesis and rational protein design to the stabilization and improvement of important industrial enzymes, especially glycosyl hydrolases. He has functioned as PI for the DOE EERE Office of the Biomass Program (OBP) since 1992, and his responsibilities have included: research to improve cellulase performance; reducing biomass pretreatment costs; and improving yields of fermentable sugars. Dr. Himmel also developed new facilities at NREL for biomass conversion research, including a Cellulase Biochemistry Laboratory, a Biomass Surface Characterization Laboratory, a Protein Crystallography Laboratory, and a new Computational Science Team.
During the past three decades, Dr. Himmel contributed 345 peer reviewed journal articles to the literature. In addition, he has edited eight books and been awarded 25 patents. He has organized or co-organized 15 international conferences on aspects of biotechnology and biomass conversion. In 2008, Dr. Himmel edited a new book for Blackwell Publishers entitled "Biomass Recalcitrance," which is listed as a top selling book in science and has now been translated into Chinese. He served as chair for the new Gordon Research Conference on cellulases and cellulosomes in 2003 and continues to support the conference. Dr. Himmel currently works closely with the biomass conversion industry, as demonstrated by the numerous CRADAs currently underway in his NREL laboratory.
Thomas Schenkel is a physicist and senior scientist at Lawrence Berkeley National Laboratory, where he is the interim Director of the Accelerator Technology and Applied Physics Division (http://atap.lbl.gov/). Thomas received his Ph.D. in physics from the Goethe University in Frankfurt. Following time as a postdoc at Lawrence Livermore National Laboratory, he joined Berkeley Lab. His research interests include novel accelerator concepts, materials far from equilibrium, exploration of fusion processes, and spin qubit architectures. Thomas also teaches a graduate course on particle accelerators at UC Berkeley.
Thomas worked on variations of time-of-flight mass spectrometry to characterize the environment of bio-molecules as a postdoc. This theme has now come up in the current Covid-19 crisis with new ideas for mass spectrometry and imaging of viruses in droplets.
COVID-19-related research: "Laser, Biosciences Researchers Combine Efforts to Study Viruses in Droplets"
Dr. Mark Bryden is the founding director of the Simulation, Modeling and Decision Science program at Ames Laboratory and is a professor of mechanical engineering at Iowa State University. Dr. Bryden’s research is focused on the federation of information from disparate sources (e.g., models, data, and other information elements) to create detailed models of engineered, human, and natural systems that enable engineering decision making for these complex systems. Dr. Bryden has published more than 180 peer-reviewed articles and co-authored the textbook Combustion Engineering. He has founded two successful startups based on his research work, and he has founded the nonprofit ETHOS, a community of 150+ researchers focused on meeting the needs for clean village energy in the developing world. He has received three patents, three R&D 100 awards, two Regional Excellence in Technology Transfer awards, and a National Excellence in Technology Transfer award. In 2013 he and his coauthors received the ASME Melville Medal. His professional experience includes three years as an engineer and 11 years as a manager at Westinghouse Electric in Idaho Falls, Idaho, and Pittsburgh, Pennsylvania. In addition, for more than 15 years Professor Bryden has worked on energy systems for the poor in a number of developing countries.
Ben Brown is a statistical scientist in the Environmental Genomics and Systems Biology division within Berkeley Lab’s Biosciences Area. He specializes in the development of novel machine algorithms, usually for the biological and environmental sciences at Berkeley Lab. His group develops “third-wave” learning algorithms that combine the interpretability and reliability of classical statistics with the predictive performance of deep learning. They specialize in designing learning paradigms for complex, high-dimensional systems that enable accurate uncertainty quantification, model discovery, feature selection, and inference. Dr. Brown's expertise include statistics, machine learning, deep learning, and artificial intelligence.
COVID-19-related research: "Using Machine Learning to Estimate COVID-19's Seasonal Cycle". Other principal investigators include: Eoin Brodie, Nicola Falco, Dan Feldman, Zhao Hao, Chaincy Kuo, Joshua Ladau, and Haruko Wainwright.
He received his bachelor’s degree in physics and his master’s and doctorate degrees in electrical engineering from the University of Washington. His main areas of research are distribution system analysis and power system operations. He is currently a principal research engineer at the Pacific Northwest National Laboratory for PNNL’s resilient distribution and microgrid analysis team (part of the Lab’s Electricity Infrastructure team)r. He is an adjunct faculty member at Washington State University, an affiliate assistant professor at the University of Washington, and a licensed professional engineer in Washington. He is the past chair of the Distribution System Analysis Sub-Committee and the current secretary of the Analytics Methods for Power Systems Committee (AMPS); formerly known as the Power System Analysis, Computing, and Economics (PSACE) Committee.
Title: HPC Application Architect
- Molecular dynamics
- Density Functional Theory Code Development
- Parallel programming (GNU parallel, MPI, OpenMP, PGAS models, etc.)
Hubertus (Huub) van Dam is a computational chemist with expertise in docking and molecular dynamics simulations. In prior work he has collaborated on improving the accuracy of docking calculations by using ab-initio molecular potentials for the electrostatic part of docking scores (DOI: 10.1063/1.2793399). He is currently supporting the National Virtual Biotechnology Laboratory (NVBL) effort to find COVID-19 drug candidates using Autodock 4.2, Dock 6 and DeepDriveMD. He also has extensive expertise in writing and supporting large parallel quantum chemistry packages. Currently, he serves as Testing and Assessment Task Lead on the Exascale Computing Project’s NWChemEx effort. NWChemEx is providing a community infrastructure for computational chemistry that takes full advantage of exascale computing technologies.
Rick Stevens is Argonne’s Associate Laboratory Director for Computing, Environment and Life Sciences.
Stevens has been at Argonne since 1982, and has served as director of the Mathematics and Computer Science Division and also as Acting Associate Laboratory Director for Physical, Biological and Computing Sciences. He is currently leader of Argonne’s Exascale Computing Initiative, and a Professor of Computer Science at the University of Chicago Physical Sciences Collegiate Division. From 2000-2004, Stevens served as Director of the National Science Foundation’s TeraGrid Project and from 1997-2001 as Chief Architect for the National Computational Science Alliance.
Stevens is interested in the development of innovative tools and techniques that enable computational scientists to solve important large-scale problems effectively on advanced scientific computers. Specifically, his research focuses on three principal areas: advanced collaboration and visualization environments, high-performance computer architectures (including Grids) and computational problems in the life sciences. In addition to his research work, Stevens teaches courses on computer architecture, collaboration technology, virtual reality, parallel computing and computational science.
Jeff Elam leads Argonne National Laboratory’s Functional Coatings Group in the Applied Materials division. The group develops coating technologies for a diverse range of applications including energy storage, photodetectors, and water purification. He has won five R&D 100 Awards and holds numerous patents.
Awards, Honors, and Memberships
- R&D 100 Award, GreenTech Gold Award, and Editor’s Choice Award (2017) “Oleo Sponge”
- R&D 100 Award (2014) “SIS Lithography”
- R&D 100 Award (2013) “Charge Drain Coatings”
- R&D 100 Award (2012) “Large Area Microchannel Plates”
- R&D 100 Award (2008) “UNCD Mechanical Seals”
- ALD Innovation Award, 2017
- AVS Fellow, 2018
- Argonne Center for Electrical Energy Storage (CEES); Advanced Materials for Energy-Water Systems (AMEWS) Center; Northwestern Argonne Institute for Science and Engineering (NAISE)
Matthew Marinella is a Principal Member of the Technical Staff with Sandia National Labs. He is Principal Investigator for Sandia’s Nonvolatile Memory Program and leads research projects on neuromorphic, radiation hard, and energy efficient computing. Dr. Marinella chairs the Emerging Memory Devices Section for the IRDS Roadmap Beyond CMOS Chapter, serves on various technical program committees, and is a Senior Member of the IEEE. He received a PhD in electrical engineering from Arizona State University under Dieter K. Schroder in 2008.