School of Engineering
Showing 1-10 of 12 Results
Adjunct Professor, ICME Operations
BioMy academic background is in Algorithms Theory and Abstract Algebra. My current interests lie in the broad space of A.I. for Adaptive Decisioning under Uncertainty, with particular focus on Deep Reinforcement Learning applied to Retail and Financial Markets. More details on my background are here: https://www.linkedin.com/in/ashwin2rao/
I teach CME 241: Reinforcement Learning for Stochastic Control Problems in Finance. The course web site is: http://cme241.stanford.edu
Associate Professor of Computer Science
Current Research and Scholarly InterestsAlgorithms, systems, and theory for the next generation of data processing and data analytics systems.
Associate Professor of Materials Science and Engineering
BioWe are engaged in theory and modeling of materials at the atomic scale. Our recent work has two primary directions:
1. Monolayer and few layer materials (i.e. graphene, MoS2) for electronics, NEMS, and energy applications.
2. Materials at conditions of high temperature, electromagnetic fields, and pressures, including dynamic or shock compression.
Recent research topics include piezoelectricity and phase change effects in monolayer materials. Past topics include THz radiation generation, energetic materials, and photonic crystals. We develop and utilize computational tools (molecular dynamics statistical methods, electronic structure, materials informatics approaches, etc.) and interact closely with experimentalists.
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2017
BioI'm interested in analytical and mathematical research, particularly with applications in biology, medicine and sustainability. My Master's thesis included both analytical and computational research of diffusion in heterogeneous media, including in biomedical systems.
Associate Professor of Electrical Engineering
Current Research and Scholarly InterestsModern applications demand power capabilities beyond what is presently achievable. High performance systems need high power density and bandwidth that are difficult to achieve.
Power density can be improved with better semiconductors and passive componets, and by reducing the energy storage requirements of the system. By dramatically increasing switching frequency it is possible to reduce size of power converters. I'm interested in high performance/frequency circuits switching >10 MHz.
Stanford Professor of Population Genetics and Society
Current Research and Scholarly InterestsHuman evolutionary genetics, mathematical models in evolution and genetics, mathematical phylogenetics, statistical and computational genetics, theoretical population genetics