Steven Skerlos is an Arthur F. Thurnau Professor of Mechanical Engineering and a Professor of Civil and Environmental Engineering. He is the director of the U-M program in Sustainable Engineering and co-director of the Engineering Sustainable Systems Program. His research focus is on the design of technology systems to reduce environmental impact while advancing economic and societal objectives. His group works on environmental and sustainable technology systems, life cycle product design optimization and sustainable water and wastewater systems, among other topics. From designing humanitarian technologies to purifying water using anaerobic membrane reactors, Prof. Skerlos research addresses challenges in the fields of systems design, technology selection, manufacturing, and water.
Brendan Kochunas is an Assistant Research Scientist in the Department of Nuclear Engineering and Radiological Science. Dr. Kochunas work focus on high performance computing methods, especially parallel algorithms for the 3D Boltmann Transport Equation. He is the lead developer and primary author of the MPACT (Michigan Parallel Characterstics based Transport) code. Currently, leading the development of MPACT and its application within CASL (www.casl.gov) constitutes his research activities.
Dr. Kochunas is the lead instructor of MICDE course Methods and Practice of Scientific Computing. He has created a novel and integrated class curriculum that immerse U-M students in many HPC tools and resources, and teaches them to effectively use these in scientific computing research.
Silas Alben is an Associate Professor in the Department of Mathematics, and the Director of the Applied & Interdisciplinary Mathematics program. He uses theoretical analysis, and develops numerical methods and models of problems arising from biology, especially biomechanics and engineering. Some of his group’s current applications are piezoelectric flags, flag fluttering in inviscid channel flow, snake locomotion and jet-propelled swimming.
Gregory Hulbert is a Professor in the department of Mechanical Engineering. His research involves computational mechanics, structural dynamics, flexible multibody dynamics, dynamic response of composites and vehicle dynamics using finite element methods. He is also involved in the engineering education of mechanics.
Dominika Zgid is an Assistant Professor in the Department of Chemistry. Her group bridges the fields of chemistry, physics and material sciences seeking to explain and predict the electronic movement in finite molecular systems and infinite crystalline materials. They develop new theoretical approaches that will advance current theoretical tools in chemistry that can be applied to a variety of industrial applications.
Daniel Forger is a Professor in the Department of Mathematics. He is devoted to understanding biological clocks. He uses techniques from many fields, including computer simulation, detailed mathematical modeling and mathematical analysis, to understand biological timekeeping. His research aims to generate predictions that can be experimentally verified.
Professor Grosh research spans various aspects of structural acoustics, mechanics, biomechanics and linear/nonlinear vibrations. Current research involves Cochlear mechanics (experiments and modeling of the mechanics of soft tissue and tissue growth), electroacoustic transducers, and computational and analytic methods for solving interior viscous fluid-structure interaction problems.
Professor Qi’s research fields are investigations of the mechanical and chemical properties of materials by applying theoretical and computational tools, including first-principles calculations, atomistic simulations and multiscale modeling. His major research interests are quantitative understanding of the intrinsic electronic/atomistic mechanisms for the mechanical deformation, phase transformation and chemical degradation (corrosion/oxidation) of advanced alloys and other structural/functional materials. Currently he is focusing on the studies of deformation defects and interfaces in materials under extreme conditions, such as high stress and/or chemically active environment, where the materials behaviors and properties can be dramatically different than those predicted by classical theories and models. He is also developing the numerical methods to integrate these electronic/atomistic results with large-scale simulations and experimental characterizations in order to design materials with improved mechanical performances and chemical stabilities.
Michael Cafarella is an Associate Professor in the Department of Electrical Engineering and Computer Science, Computer Science Division. He was appointed the Morris Wellman Faculty Development Assistant Professor of Computer Science and Engineering, and a Sloan Research Fellow (2016). Prof. Cafarella studies databases, information extraction, data integration, and data mining. His projects span several areas of data management including systems and algorithms for “messy” data management, novel data-intensive applications, and data systems infrastructure.