Institute for Computational and Mathematical Engineering (ICME)

Showing 1-10 of 11 Results

  • Danielle Maddix

    Danielle Maddix

    Research Asst - Graduate, Institute for Computational and Mathematical Engineering (ICME)

    BioI am a PhD candidate in the Institute of Computational and Mathematical Engineering (ICME) at Stanford advised by Professor Margot Gerritsen. I have been funded by the NSF graduate research fellowship. I received my bachelor's degree in Applied Mathematics with highest honors from the University of California, Berkeley in 2012. I then continued onto my graduate education at ICME and earned my Masters in Computational and Mathematical Engineering in 2015. I have had internships in computational mathematics at the Lawrence Berkeley National Laboratory (2012-2014) and NVIDIA (2015). At the LBL, I worked in the Computational Research Division under Professor James Sethian, applying multiphase flow algorithms to shape optimization problems. At NVIDIA, I worked in the numerical linear algebra and graph analytics group. My current research is on developing new, accurate, stable and conservative numerical methods for mathematical modeling of ocean dynamics.

  • Gabriel Maher

    Gabriel Maher

    Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2014

    BioFor my research I am applying deep learning towards improving segmentation in cardiovascular medical images.

  • Ali Mani

    Ali Mani

    Associate Professor of Mechanical Engineering

    BioOur research is broadly defined by multiphysics problems in fluid dynamics and transport engineering. Our work contributes to the understanding of these problems primarily through theoretical tools such as techniques of applied mathematics as well as massively-parallel simulations. Numerical simulations enable quantitative visualization of the detailed physical processes which can be difficult to detect experimentally. They also provide quantitative data that guide the development of reduced-order models, which would naturally induce insight for design, optimization and control. Most of our work involves complementary interactions with experimental groups within and outside of Stanford. Specific current research topics include:

    (1) Electro-convection and microscale chaos near electrochemical interfaces

    (2) Particle-laden flows with applications in solar receivers

    (3) Applications of superhydrophobic surfaces for drag reduction of turbulent flows

    (4) Micro-bubble generation by breaking waves

    (5) Electrokinetics of micropores and nanopores

  • Alison Marsden, PhD

    Alison Marsden, PhD

    Associate Professor of Pediatrics (Cardiology) and of Bioengineering and, by courtesy, of Mechanical Engineering

    Current Research and Scholarly InterestsThe Cardiovascular Biomechanics Computation Lab at Stanford develops novel computational methods for the study of cardiovascular disease progression, surgical methods, and medical devices. We have a particular interest in pediatric cardiology, and use virtual surgery to design novel surgical concepts for children born with heart defects.

  • Julio Martinez

    Julio Martinez

    Masters Student in Computational and Mathematical Engineering, admitted Autumn 2016

    BioJulio A. Martinez was born and raised in Southern California. Julio is currently starting his first year as an M.S. student at the Institute for Computational Mathematics and Engineering (ICME) in the general track. Recently Julio graduated from the University of California, San Diego (UCSD) with a B.S. for a double major in Applied Mathematics and Engineering Sciences. As an undergrad, Julio worked on various computationally oriented research projects ranging from computational mechanics to distributed robotics. Julio has strong interests in optimization theory and machine learning and has had an opportunity to apply his interests at Adobe Research in San Jose, CA where he has interned the past two summers. During his summers at Adobe he worked on developing Deep Learning models to build a real time system for video-ad classification as well as developing an evaluation strategy for Recommender Systems using ranking aggregation methods. Outside of academics, Julio loves to enjoy new food any chance he gets and also loves to socialize the old school way, face-to-face.

  • Karen Ebert Matthys

    Karen Ebert Matthys

    Executive Director, Institute for Computational and Mathematical Engineering (ICME)

    Current Role at StanfordAs Executive Director of External Partners at ICME, I develop relationships with companies and national laboratories interested in computational mathematics, data science and visualization, machine learning and high performance computing. I am also an Innovation Partner at SRI International.

  • Song Mei

    Song Mei

    Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2014

    BioI am a third year Ph. D. student in Institute for Computational and Mathematical Engineering at Stanford, advised by Andrea Montanari. Before coming to California, I studied Mathematics at Peking University. My research interest lies broadly in data sciences, say, in the intersection of applied probability, statistics, machine learning, information theory, and computations. Currently, I am interested in random matrices and random graphs, convex and non-convex optimizations, sequential testing and adaptive design.

  • Parviz Moin

    Parviz Moin

    Franklin P. and Caroline M. Johnson Professor in the School of Engineering

    BioMoin is the founding director of the Center for Turbulence Research. Established in 1987 as a research consortium between NASA and Stanford, Center for Turbulence Research is devoted to fundamental studies of turbulent flows. Center of Turbulence Research is widely recognized as the international focal point for turbulence research, attracting diverse groups of researchers from engineering, mathematics and physics.

    Professor Moin pioneered the use of direct and Large Eddy Simulation techniques for the study of turbulence physics, control and modelling concepts and has written widely on the structure of turbulent shear flows. His current interests include: interaction of turbulent flows and shock waves, aerodynamic noise and hydroacoustics, aerooptics, combustion, numerical analysis, turbulence control, large eddy simulation and parallel computing. He is an Editor of the Annual Review of Fluid Mechanics and Associate Editor of Physics of Fluids, Journal of Computational Physics.