Institute for Computational and Mathematical Engineering (ICME)


Showing 171-178 of 178 Results

  • Yinyu Ye

    Yinyu Ye

    Kwoh-Ting Li Professor in the School of Engineering and Professor, by courtesy, of Electrical Engineering

    BioYinyu Ye is currently the Kwoh-Ting Li Professor in the School of Engineering at the Department of Management Science and Engineering and Institute of Computational and Mathematical Engineering and the Director of the MS&E Industrial Affiliates Program, Stanford University. He received the B.S. degree in System Engineering from the Huazhong University of Science and Technology, China, and the M.S. and Ph.D. degrees in Engineering-Economic Systems and Operations Research from Stanford University. Ye's research interests lie in the areas of optimization, complexity theory, algorithm design and analysis, and applications of mathematical programming, operations research and system engineering. He is also interested in developing optimization software for various real-world applications. Current research topics include Liner Programming Algorithms, Markov Decision Processes, Computational Game/Market Equilibrium, Metric Distance Geometry, Dynamic Resource Allocation, and Stochastic and Robust Decision Making, etc. He is an INFORMS (The Institute for Operations Research and The Management Science) Fellow, and has received several research awards including the winner of the 2014 SIAG/Optimization Prize awarded every three years to the author(s) of the most outstanding paper, the inaugural 2012 ISMP Tseng Lectureship Prize for outstanding contribution to continuous optimization, the 2009 John von Neumann Theory Prize for fundamental sustained contributions to theory in Operations Research and the Management Sciences, the inaugural 2006 Farkas prize on Optimization, and the 2009 IBM Faculty Award. He has supervised numerous doctoral students at Stanford who received received the 2015 and 2013 Second Prize of INFORMS Nicholson Student Paper Competition, the 2013 INFORMS Computing Society Prize, the 2008 Nicholson Prize, and the 2006 and 2010 INFORMS Optimization Prizes for Young Researchers. Ye teaches courses on Optimization, Network and Integer Programming, Semidefinite Programming, etc. He has written extensively on Interior-Point Methods, Approximation Algorithms, Conic Optimization, and their applications; and served as a consultant or technical board member to a variety of industries, including MOSEK.

  • Hao Yin

    Hao Yin

    Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2015

    BioI am a PhD candidate at Institute for Computational and Mathematical Engineering, Stanford University. I am interested in network analysis, data mining, machine learning, and time series analysis.

  • Honglin Yuan

    Honglin Yuan

    Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2017
    Masters Student in Computational and Mathematical Engineering, admitted Summer 2018

    BioI am a second-year Ph.D. Candidate at ICME. Before coming to Stanford, I graduated from Peking University with B.S. degrees in Computational Mathematics and Computer Science. My current research interests lie in optimization and machine learning theory.

  • Ruohan Zhan

    Ruohan Zhan

    Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2017

    BioHi, I'm a second year PhD student in Computational and Mathematical Engineering, Stanford University.

    I'm mainly interested in theories and application of learning on data-related problems. Luckily, I have great research experiences with many marvelous researchers on data analysis, financial modeling and mathematical imaging. I'm also excited about discovering new interesting fields!

  • Junzi Zhang

    Junzi Zhang

    Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2015

    BioJunzi Zhang is a fourth year Ph.D. candidate in Stanford Institute for Computational & Mathematical Engineering (ICME), currently under supervision of Prof. Stephen Boyd. His research is focused on the design and analysis of optimization algorithms and softwares, as well as the applications in the fields of machine learning, causal inference and decision making (especially reinforcement learning), and is sponsored by Stanford Graduate Fellowship. In particular, in collaboration with Prof. Stephen Boyd and Dr. Brendan O’Donoghue, he proposed a stabilized type-I Anderson acceleration method, which has been partly implemented into SCS (Splitting Conic Solver) version 2, one of the most widely used open source convex optimization solver in the world, with notable performance improvement. In addition, he has also served as a reviewer in several top journal and conferences, and has been awarded as Top 200 Best Reviewers (200/3000) in NeurIPS 2018 and Top 5% Reviewers in ICML 2019. Before coming to Stanford, he graduated from School of Mathematical Sciences (SMS) in Peking University (PKU) as Outstanding Graduates in Beijing and Honorary Graduate in the Program of Top Talent Training for Applied Mathematics. He received Chinese National Scholarship for three consecutive years (maximum possible), and has earned first prize in PKU Challenge Cup, PKU Innovation Award and Group Silver Medal in S.-T. Yau College Student Mathematics Contests. He has also been the co-president of Association of Chinese Students and Scholars at Stanford (ACSSS), and had contributed to enhance the cooperation between the Chinese community and the Stanford school authority, as well as boosting the influence of the Chinese culture in the community of international students.