Applied Math Field Faculty
Research areas: Logics and semantics of programming languages, algorithms and complexity, especially complexity of decision problems in logic and algebra, probabilistic computation.
Research areas: stochastic optimization; partially observed Markov decision processes; stochastic filtering theory
Research areas: variational analysis and nonsmooth optimization with particular interest in eigenvalue optimization
Research areas: applied probability; networks; supply chain; complex systems, network science and computation; statistics and machine learning; health systems
Research areas: Data-driven control and decision-making, decentralized optimal control, stochastic resource allocation, and learning-based control in cyber-physical systems
Research areas: computer graphics, 3D computer vision, realistic rendering and simulation, light scattering and light transport, inverse rendering and inverse light transport, appearance of hair, skin, and cloth, computational design of textiles
Research areas: Financial Econometrics, Developmental Economics, Systemic Risk, Emergency Medical Services, Urban Informatics, Neuro Imaging and Signals, Applied Biophysics, Sustainable Energy, Ecology, Climate, Nanoparticles, Single Molecule Experiments, Epidemiology, Disability Studies, Space Science.
Research areas: quantitative genetics/genomics; statistical genetics; computational biology; pathway modeling; molecular evolution
Research areas: mathematical finance in nontraditional directions; optimal control; queing theory; interacting particle systems
Research areas: econometrics both theoretical and applied; theoretical work is in partial identification and in the study of how random set theory can be useful in this context; empirical work is concerned with estimation of risk preferences
Research areas: imaging inverse problems, differentiable physical models for imaging and microscopy, machine learning
Research areas: logic; recursive functions and computability; theoretical computer science; hybrid systems
Research areas: scientific machine learning, operator learning, reduced-order modeling, dynamical systems, and computational fluid dynamics
Research areas: large-scale simulations of reactive gas-solid flows with application to biomass thermochemical conversion to biofuels
Research areas: mathematical modeling and algorithm design for large-scale transportation network problems; problems at the intersection of public transit and ride-sharing
Research areas: applied probability; stable processes; long-range dependence; communication networks; financial models; risk theory
Research areas: image analysis; nonlinear dynamics; signal & image processing; sensors and actuators; statistics & machine learning; imaging and instrumentation; space science & engineering
Research areas: theoretical condensed-matter physics; materials science; spatially extended dynamical systems
Research areas: Low-complexity and robust decision-making, Optimization, Machine Learning, and Optimal Transport
Research areas: analysis of algorithms; combinatorial optimization; approximation algorithms; computational biology
Research areas: large-scale 3D reconstruction from 2D images; analysis of large graphs derived from massive image collections
Research areas: machine learning, statistical learning theory, online learning, optimization, empirical process theory, concentration inequalities, game theory
Research areas: algebraic geometry; computational algebra and algebraic geometry; commutative algebra
Research areas: communication networks; control and dynamical systems optimization; game theory and applications; stochastic processes and networks
Research areas: design and analysis of algorithms, with emphasis on problems in combinatorial optimization and their applications to various problems
Research areas: machine learning; inverse problems; interplay between discrete and continuous modeling
Research areas: statistical signal processing; communication systems and networking; adaptive receiver design-estimation theory
Research areas: stochastic programming; approximate dynamic programming; stochastic approximation algorithms
Research areas: applied mathematics; numerical methods; dynamic systems; nonlinear PDEs; control theory
