Mayank Singh Chauhan
Mayank Singh Chauhan was at University of California, Los Angeles researching under Professor Ravi Netravali
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Mayank Singh Chauhan was at University of California, Los Angeles researching under Professor Ravi Netravali
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Dakshit Agrawal was at Carnegie Mellon University researching under Professor Katerina Fragkiadaki.
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Avadhoot was at Penn State University working under Professor Tanya Furman.
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Professor Darve received his Ph.D. in Applied Mathematics at the Jacques-Louis Lions Laboratory, in the Pierre et Marie Curie University, Paris, France. His advisor was Prof. Olivier Pironneau, and his Ph.D. thesis was entitled “Fast Multipole Methods for Integral Equations in Acoustics and Electromagnetics.” He was previously a student at the Ecole Normale Supérieure, rue
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My work on halo abundances and clustering forms the basis of methods which use clusters (e.g., X-ray luminosities, temperatures, the Sunyaev-Zeldovich effects, galaxy velocity dispersions) to study cosmology. Recently, I extended the approach to predict how the morphology (sheets, filaments, voids) rather than simply the density, of large scale structure evolves, and how these predictions
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Research from this lab is critical in establishing a robust, basin-wide stratigraphic framework for interpreting basin history, exploiting petroleum potential, identify arsenic-free groundwater horizons, and deciphering detrital record of mountain building in the eastern Himalayas and the Indo-Burman ranges. The goals of HRL are (i) to improve our understanding of the development of the Himalayas,
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Research Interests Computational mechanics, solution adaptive finite element methods, parallel and high performance computing, applications to biomechanical systems.
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My research interests include: Machine learning and statistical learning theory; Applications of machine learning, particularly in the life sciences; Ranking and choice models; Connections between machine learning and other disciplines such as economics, operations research, and psychology. More broadly, I am excited by research at the intersection of computer science, mathematics, and statistics, and its
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My research applies a computational lens to help groups achieve complex collective goals. I design, build, and study social computing systems at scales from teams to crowds. Michael Bernstein is an Assistant Professor of Computer Science at Stanford University, where he is a member of the Human-Computer Interaction group. His research focuses on the design
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I am interested in computational and mathematical modeling of complex systems including viscoelastic liquids, electro/magnetohydrodynamics, interfacial flows in porous media, dynamic contact lines, and microfluidics. Studies of existence of solutions, flow stability, asymptotic behavior, and singularities of such problems pose a great challenge. I use numerical modeling for addressing some of these mathematical open questions
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