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Research Expertise and Interest

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Name

Department

Dept of Industrial Engineering & Operations Research

data mining, integer programming, discrete optimization, network flow techniques, clustering, image segmentation, machine vision, pattern recognition

Rodrigo Almeida

Dept of Environmental Science, Policy & Management

disease ecology, plant disease, vector-borne, Xylella fastidiosa, emerging diseases

Alper Atamturk

Dept of Industrial Engineering & Operations Research

sparse learning, integer programming, computational optimization, robust optimization, logistics

Andrew Atwood

Dept of Architecture

architecture, architecture pedagogy, techniques of representation

Ying Cui

Dept of Industrial Engineering & Operations Research

continuous optimization, optimization under uncertainty, statistical estimations, machine learning, artificial intelligence

Filipa Rijo-Ferreira

Dept of Molecular & Cell Biology

School of Public Health

molecular parasitology, mosquito vector biology in malaria infection, host-parasite interactions, host circadian rhythms, immunology, metabolism

Stephan Lammel

Dept of Neuroscience

neuroscience, Optogenetics, dopamine, motivation, reward, electrophysiological techniques

Max Willsey

Division of Computer Science (EECS)

programming optimization, programming languages

Javad Lavaei

Dept of Industrial Engineering & Operations Research

control theory, optimization, power systems

Alexis T. Bell

Dept of Chemical & Biomolecular Engineering

chemical engineering, heterogeneous catalysts, spectroscopic techniques, chemical reaction engineering

Thibaut Mastrolia

Dept of Industrial Engineering & Operations Research

stochastic control, game theory, finance, optimization

Satish Rao

Division of Computer Science (EECS)

combinatorial optimization, design and analysis of algorithms

Paul Grigas

Dept of Industrial Engineering & Operations Research

optimization, machine learning, data-driven decision-making

Na Ji

Dept of Neuroscience

Dept of Physics

neuroscience, microscopy techniques, in vivo imaging, biophotonics, biophysics, adaptive optics, optics

Prasad Raghavendra

Division of Computer Science (EECS)

theory(THY), optimization, complexity theory, approximation algorithms

Thomas Schutzius

Dept of Mechanical Engineering

nanoscale transport phenomena, micro/nanofabrication techniques, interfacial optical methods, thermodynamic and interfacial modeling

Ming Gu

Dept of Mathematics

mathematics, scientific computing, numerical linear algebra, convex optimization

Boubacar Kante

Division of Electrical Engineering (EECS)

optoelectronics, quantum optics, optimization, Antennas, Biophysics and Sensing

Susan Marqusee

Dept of Chemistry

Dept of Molecular & Cell Biology

amino acids, determinants of protein structure and folding, biophysical, structural and computational techniques, translocation, protein synthesis

Sam Pimentel

Dept of Statistics

causal inference, health services & policy analysis, biostatistics, discrete optimization

Anil Aswani

Dept of Industrial Engineering & Operations Research

machine learning and artificial intelligence, precision health, optimization, statistics

Rajan Udwani

Dept of Industrial Engineering & Operations Research

algorithms, optimization under uncertainty, Revenue Management, pricing, online platforms

Scott Moura

Dept of Civil and Environmental Engineering

control systems, optimization, data science, batteries, electric vehicles, energy systems

Michael J. Lindsey

Dept of Mathematics

applied mathematics, mathematical analysis, probability, numerical analysis, optimization, Monte Carlo methods

Richard Stanton

Haas School of Business

mortgage markets, prepayment modeling, valuation, hedging, term structure modeling valuation of derivative securities, application of non-parametric estimation techniques, pricing of derivatives

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