Sadasivan (Sadas) Shankar is the first Margaret and Will Hearst Visiting Lecturer in Computational Science and Engineering at Harvard School of Engineering and Applied Sciences. In fall 2013, as the first Distinguished Scientist in Residence at the Institute of Applied Computational Sciences in Harvard, along with Dr. Tim Kaxiras, he developed and co-instructed with Dr. Brad Malone, a graduate-level class on Computational Materials Design, which covered fundamental atomic and quantum techniques and practical applications for new materials by design.
Sadasivan earned his Ph.D. in Chemical Engineering and Materials Science from University of Minnesota, Minneapolis. Sadasivan has initiated and led multiple efforts in Intel, most recently the Materials Design Program. Over his tenure in research and development in the semiconductor industry, he and his team have worked on several new initiatives; using modeling to optimize semiconductor processing and equipment for several technology generations, advanced process control using physics-based models, thermo-mechanical reliability of microprocessors, thermal modeling of 3D die stacking, and using thermodynamic principles to estimate energy efficiency of ideal computing architectures.
Dr. Shankar is a co-inventor in several patent filings covering areas in new chemical reactor designs, semiconductor processes, bulk and nano materials, device structures, and algorithms. He is also a co-author in publications and presentations in the areas of chemical synthesis, plasma chemistry and processing, direct simulation Monte Carlo, non-equilibrium electronic transport, electromigration, three dimensional rarefied and continuum reacting flows, and atomic methods enabling high throughout calculations for material interfaces.
Sadasivan has been involved in several collaborative national and international efforts with Semiconductor Research Corporation, SEMATECH, National Institute of Standards and Technology, Department of Energy, and President’s Materials Genome Initiative. He has also worked with several universities and research labs across the world for development of new methods in material science, chemistry, and engineering and in highlighting research needs for material characterization and modeling for industrial applications.
In Harvard, Sadasivan will be involved in teaching and research in the areas of large-scale computational methods, chemistry, materials, and in translational ideas.