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Manager, Systems Assessments
Michael Wang is an Argonne National Laboratory Distinguished Fellow, Senior Scientist, and Director of the Systems Assessment Center of the Energy Systems division. He has been with Argonne since 1993. Dr. Wang’s research areas include:
- Evaluation of energy and environmental impacts of vehicle technologies, transportation fuels, and energy systems
- Assessment of the market potentials of new vehicle and fuel technologies
- Examination of transportation development trends in emerging economies
Michael Wang has led the development and applications of Argonne’s GREET (Greenhouse gases, Regulated Emissions, and Energy use in Technologies) model for life-cycle analysis of advanced vehicle technologies, transportation fuels, and other energy systems. His work in the life-cycle analysis area has been used by government agencies and industries and cited extensively in research and academic fields. As of 2019, there are more than 40,000 registered GREET users worldwide. Dr. Wang has worked closely with governmental agencies, automotive companies, energy companies, universities, research institutions, and nongovernmental organizations (NGOs) in the United States, China, Brazil, Canada, Japan, and Europe to address energy and environmental issues related to the transportation sector and energy systems.
Jointly, Dr. Wang is a faculty associate in the Energy Policy Institute at the University of Chicago and a senior fellow in the Northwestern Argonne Institute of Science and Engineering of Northwestern University. He is a guest professor in China’s Shanghai Jiaotong University. He is an associate editor of Biotechnology for Biofuels and on the editorial boards of Automotive Innovation, Frontiers of Energy and Power Engineering in China, and Mitigation and Adaptation Strategies for Global Changes. He has more than 270 publications.
Jayakar “Charles” Tobin Thangaraj is currently the Science and Technology Manager and the Deputy Director at the Illinois Accelerator Research Center (IARC). He works at the frontiers of accelerator science where bold ideas enable discoveries that transform our fundamental understanding of the universe. He is passionate about partnership between science, technology and startups to enable entrepreneurship and innovation to solve 21st century challenges in environment, medicine and society. He received both his M.S. and PhD from the University of Maryland. Charles joined Fermilab as a People’s Fellow in 2009.
Areas of expertise: Artificial Intelligence for Accelerators; Machine Learning for Accelerators
Nhan Tran is a Wilson Fellow at Fermilab working on the Compact Muon Solenoid experiment at the Large Hadron Collider and is also developing new dark sector experimental initiatives. He is generally interested in deploying machine learning as a powerful tool across fundamental physics. His recent research focus is on the intersection of machine learning with real-time systems and embedded electronics as well as heterogeneous computing to improve experimental efficiency and sensitivity. He received his PhD from Johns Hopkins University in 2011 and was a postdoctoral researcher at Fermilab prior to joining in his current position.
Areas of expertise: ML Algorithms for Data Reconstruction and Pattern Recognition; Real-Time Low-Latency ML in Resource-Constrained Environments; Heterogeneous Computing
Ivar Martin is a condensed matter theorist in the Material Science Division.
His interests include equilibrium properties of materials, including superconductivity and magnetism, as well as nonequilibrium. Recently he has been particularly interested in the ways to create new quantum states by means of strong periodic and quasiperiodic driving.
His other interests include microscopic theory of quantum decoherence and quantum measurement, ways to implement unusual correlated states in quantum hardware, and classical nonlinear phenomena of phase and mode locking.
Martin got his undergraduate degree from the Moscow State University, and PhD from the University of Illinois at Urbana-Champaign. In 1999 he went to Los Alamos National Lab, first as a postdoc and then as a staff member. He came to Argonne in 2013.
Dr. Iadecolais a theoretical physicist using diverse analytical and numerical tools to study a variety of topics in quantum condensed matter. A graduate of Brown University (Sc.B., 2012), he received his Ph.D. in Physics from Boston University in 2017. He then became a JQI Theoretical Postdoctoral Fellow at the NIST-University of Maryland Joint Quantum Institute until 2019, when he joined Iowa State University as an Assistant Professor. Research in his group focuses on out-of-equilibrium quantum systems and topological phases with a view towards emerging quantum technologies. On the nonequilibrium side, he studies properties of highly-excited many-body states and the surprising phenomena they harbor that challenge deeply ingrained intuition based on quantum statistical mechanics. On the topological side, he focuses on states of matter whose properties cannot be understood within the traditional paradigm of spontaneous symmetry breaking, and which could enable the robust storage and manipulation of quantum information. In addition to thinking about new phenomena, he grapples with ways to realize them in electronic and photonic systems, or using near-term quantum platforms.
Jonathan Carter is the Associate Laboratory Director for Computing Sciences at Lawrence Berkeley National Laboratory (Berkeley Lab). The Computing Sciences Area at Berkeley Lab encompasses the National Energy Research Scientific Computing Division (NERSC), the Scientific Networking Division (home to the Energy Sciences Network, ESnet) and the Computational Research Division.
Dr. Carter's research interests are in the evaluation of system architectures and algorithms for high-performance computing, and in computational chemistry and physics simulations. Recently he has been engaged in a project to look at computer architectures beyond the end of Moore's Law and has focused on techniques to perform simulations for computational chemistry using newly developed quantum computing test-beds. He brings a unique perspective to his work, formed from using computing resources as a domain scientist, from performing performance analyses of computer architectures, and from his experience in moving large-scale computational systems from idea to reality.
Carter joined Computing Sciences as part of the National Energy Research Scientific Computing (NERSC) Division at the end of 1996, working with a broad range of scientists to optimize applications, transition projects from shared-memory vector systems to massively parallel systems, and providing in-depth consulting for materials scientists and chemists using NERSC. He became group leader of the consulting group at the end of 2005. During his time at NERSC, he led or played a lead role in teams that procured and deployed three of the fastest computing systems in the world.
Areas of expertise: quantum computing, beyond Moore's Law computer architectures, high-performance computing (HPC) / supercomputing, and computational chemistry.
Irfan Siddiqi received his AB (1997) in chemistry & physics from Harvard University. He then went on to receive a PhD (2002) in applied physics from Yale University, where he stayed as a postdoctoral researcher until 2005. Irfan joined the physics department at the University of California, Berkeley in the summer of 2006. In 2006, Irfan was awarded the George E. Valley, Jr. prize by the American Physical Society for the development of the Josephson bifurcation amplifier. In 2007, he was awarded the Office of Naval Research Young Investigator Award, the Hellman Family Faculty Fund, and the UC Berkeley Chancellor’s Partnership Faculty Fund.
His group, the Quantum Nanoelectronics Laboratory, investigates the quantum coherence of various condensed matter systems ranging from microscopic nanomagnets such as single molecule magnets to complex macroscopic electrical circuits. To measure the electric and magnetic properties of these quantum systems, they are developing novel microwave frequency quantum-noise-limited amplifiers based on superconducting Josephson junctions formed by both oxide tunnel barriers and carbon nanotube weak links. Current topics of research include the dependence of quantum coherence on system complexity, the non-equilibrium quantum statistical mechanics of non-linear oscillators, the quantum coherence of single molecules, and topological architectures for maximum coherence in superconducting circuits.
Areas of expertise: quantum computing, condensed matter physics, superconducting qubits, quantum limited amplifiers, quantum circuits
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.