Research Directory
Areas
Process Engineering & Optimization
Faculty  Research Area  
Ahmadi, Amir Ali 
Optimization: algebraic methods, semidefinite programming, polynomial optimization; Computational aspects of dynamics and control: Lyapunov theory and optimizationbased algorithms for robustness and stability analysis; Algorithms and complexity: Computational complexity in numerical optimization, convex relaxations in combinatorial optimization. Applications in systems theory, statistics, robotics, and economics. 



Benziger, Jay 
Fuel cell engineering; chemical reactor design, stability, and dynamics; heterogeneous catalysis 



Fan, Jianqing 
Statistics; biostatistics and bioinformatics; quantitative finance; machine learning; risk modeling and analysis; portfolio management; asset pricing; time series analysis, longitudinal data analysis; survival analysis 



Hazan, Elad 
Design and analysis of algorithms for basic problems in machine learning and optimization. 



Kevrekidis, Yannis 
Complex/multiscale systems modeling and computation; process dynamics and spatiotemporal pattern formation; fuel cell engineering; nonlinear system identification and control 



Koel, Bruce 
Structure, Reactivity, and Catalysis of Bimetallic Pt Alloys; Characterizing Reactions of Iron Nanoparticles; Characterization of Novel PEM Fuel Cell Electrodes; Development of Rutherford Backscattering (RBS) as a Probe of LiquidSolid Interfaces 



Kornhauser, Alain 
Dynamic resource management; traveler information and decision support; automated vehicle control systems; traveler information systems; personal rapid transit 



Kpotufe, Samory 
Machine learning, with an emphasis on nonparametric methods and highdimensional statistics. Investigating the inherent difficulty of highdimensional learning problems (e.g. most modern data mining problems) 



Liu, Han 
Using computation and data as lens to explore science and intelligence. Nonparametric methods to infer from highdimensional data with weakest possible assumptions; Graphical models for a unified framework that combines uncertainty (probability theory) and logical structure (graph theory) to model complex, realworld phenomena. 



Massey, William 
Stochastic models and queuing theory; performance and pricing models for telecommunications systems; symptotic analysis and stochastic bounds for queueing networks; theories of queues with timevarying rates, stochastic networks 



Powell, Warren 
Dynamic resource management; approximate dynamic programming and optimal learning, with applications in energy, homeland security, health and complex resource allocation problems 



Shkolnikov, Mykhaylo 
Applying stochastic analysis to problems in random matrix theory and stochastic portfolio theory. Various topics in probability theory and partial differential equations: interacting particle systems, random growth models, concentration of measure, large deviations, random operators, probabilistic approach to hyperbolic and parabolic partial differential equations. 



Sundaresan, Sankaran 
Granular and multiphase flow; chemical reactor design, stability and dynamics; origin and hierarchy of mesoscale structures in twophase flows; coarsened equations of motion for twophase flows; contact stresses in granular assemblies; role of static electrification on gasparticle flows 



van Handel, Ramon 
Probability theory and its interactions with other fields: Conditional phenomena, highdimensional probability, and ergodic theory. 



Vanderbei, Robert 
Telescope design for searching for extrasolar planets; highcontrast imaging; diffractive optics; financial portfolio selection; convex optimization; multiobjective optimization; stochastic dominance; stability of Saturn's rings; astrophysics; stable solutions to the nbody problem 



Wang, Mengdi 
Decision making problems involving uncertainty or hidden information; Modeling uncertainty and designing algorithmic approaches that "learn" the best decisions as information is revealed. Optimization (stochastic, online, and even more), stochastic programming, variational inequalities, dynamic programing, statistical learning, game dynamics. 