Applied Mathematics and Scientific Computation Program

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AMSC Faculty Research Interests

The AMSC program has faculty and students with research interests which span many fields of modern science. Below is a listing of our faculty, with a brief description of their research interests and keywords that may help cateogorize their research interests. This list is meant to serve as a guide for students seeking to find research advisors.

Name & Contact	Research Interests
A
Eyad Abed AVW 2169 301-405-3631 abed at umd.edu	Dr. Abed's research includes contributions on the following subjects: control of nonlinear systems exhibiting bifurcation and chaos; singular perturbation analysis and reduced-order modeling; nonlinear stability and stabilization; linear robust stability; gas turbine jet engine dynamics and control; electric power system dynamics and control; tethered satellite control; aircraft control; and radar system dynamics.
Ashok K Agrawala AVW 4149 301-405-2525 agrawala at cs.umd.edu	Design and evaluation of systems and networks.
David Akin NBR 2100D 301-405-1138 dakin at ssl.umd.edu	Space Systems, Space Robotics, Space Human Factors, Extravehicular Activity/Space Suit Design.
Clopper Almon MOR 1105 301-405-4604 almon at inforum.umd.edu	Dr. Almon's major research interests have been in the area of interindustry modeling for the purpose of studying macroeconomic phenomena.
Frank B. Alt VMH 3311 301-405-2231 falt at rhsmith.umd.edu	Statistical quality control, applied multivariate analysis, and forecasting with a particular interest and expertise in multivariate process control.
Stephen Altschul NIH 301-435-7803 altschul at nih.gov	Genome Sequence alignment algorithms, Statistics of sequence comparison, Measures of sequence similarity Keywords: Computational Biology, Genome
Stuart S. Antman MTH 2309 301-405-5105 ssa at math.umd.edu	Professor Antman studies a variety of dynamical and steady-state nonlinear problems for rods, shells, and three-dimensional solid bodies. The bodies are composed of nonlinearly elastic, viscoelastic, plastic, viscoplastic, or magnetoelastic materials. In each case, properly invariant, geometrically exact theories encompassing general nonlinear constitutive equations are used. In some cases, the solids interact with fluids. The goals of these studies are to discover new nonlinear effects, determine thresholds in constitutive equations separating qualitatively different responses, treat control problems involving "smart" materials, examine important kinds of instabilities, contribute to the theory of shocks and dissipative mechanisms in solids, and develop new methods of nonlinear analysis and of effective computation for problems of solid mechanics. Keywords: Continuum Physics and Nonlinear Analysis
Arjang A. Assad VMH 4303 301-405-2194 assad at rhsmith.umd.edu	The research interests of Dr. Assad lie in the area of distribution and transportation modeling with special emphasis on vehicle routing, and mathematical programming models. He has also published in the areas of production and operations management and project management. Keywords: Operations management, optimization of distribution systems, and mathematical programming
Mark A. Austin AVW 2149 301-405-6627 austin at isr.umd.edu	Systems Engineering and Integration- How do we build systems engineering tools that can take advantage of Semantic Web technologies? Systems Engineering for Sensor-Based Supply Chains. Human-Computer Interfaces for System-Level Engineering Design. Formal Models for Validation/Verification of Networked Engineering Systems. Computer-Aided Design of Bridge and Building Structures. Earthquake Engineering and Structural Dynamics.
Shapour Azarm EGR 2155 301-405-5250 azarm at umd.edu	Evolutionary/classical multi-objective and multi-disciplinary design optimization. Approximation of computationally intensive simulations. Decision maker's (or customer's) preference capturing for product design selection. Robust design optimization and selection, with applications for single product and product line design. Integration of marketing and engineering design.
B
Ferdinand Baer CSS 2431 301-405-5387 baer at atmos.umd.edu	Dr. Baer's research interests span a variety of topics to include atmospheric dynamic, numerical weather prediction, numerical analysis, initialization, spectral methods, atmospheric energetics, gravity waves, and high performance computing applications.
Elias Balaras EGR 3131 301-314-9477 balaras at eng.umd.edu	Computational fluid dynamics; biomedical fluid flows; fluid-structure interactions; turbulence and transition
Radu V. Balan MTH 2308 301-405-5492 rvbalan at math.umd.edu
Michael O. Ball VMH 4311 301-405-2227 mball at rhsmith.umd.edu	Dr. Ball's research interests are in network optimization and integer programming particularly as applied to problems in transportation systems and supply chain management.
John S. Baras AVW 2249 301-405-6606 baras at isr.umd.edu	Dr. Baras' research interests include scaleable multicast security; integrated management of hybrid communication networks; modeling and performance evaluation of large broadband hybrid networks; fast internet over heterogeneous (wireless-wireline) networks; manufacturing process selection for electromechanical products; intelligent control; wavelets; robust speaker identification; low complexity, high fidelity, low rate speech coding; image processing and understanding; learning clustering algorithms and classification; distributed control (or decision) systems; stochastic dynamic model building; stochastic control and scheduling; real-time sequential detection and estimation; computer-aided control systems design; queuing systems; quantum communications; nonlinear systems; and radar systems modeling and performance evaluation and distributed parameter systems.
Alexander Barg AVW 2361 301-405-7135 abarg at eng.umd.edu	Coding theory, Information theory, Cryptography, Combinatorics
Victor R. Basili AVW 4111 301-405-2668 basili at cs.umd.edu	Dr. Basili is a member of the Experimental Software Engineering Group. The group views the study of software engineering as a laboratory science. Specific research projects are centered around formalizing various aspects of (a) the Quality Improvement Paradigm (QIP), (b) the Experience Factory (EF), and (c) the Goal/Question/Metric approach (GQM). The QIP is aimed at building descriptive models of software processes, products, and other forms of experience, experimenting with and analyzing these models, in order to build improvement-oriented, packaged, prescriptive models. The EF is an organizational approach for packaging reusable software experiences and supplying them to projects and building core competencies in software.
Melanie Becker PHY 4111 301-405-1774 melanieb at physics.umd.edu	My research area is string theory and its eleven-dimensional counterpart that has been called "M-theory", which is the quantum version of eleven-dimensional supergravity. It unifies all the different types of string theories that are presently known in a consistent picture. The ultimate goal of understanding these matters is to find a unified theory of particle physics and gravity. It is well known that when we try to unify general relativity with quantum mechanics we will be facing the problem that gravity is a non-renormalizable theory. The so-called "Matrix-theory" is a proposal for a non-perturbative formulation of M-theory. It gives a precise way to handle the divergences appearing in the eleven-dimensional quantum theory of gravity. I have been working in Matrix-theory and more generally the connection between super Yang-Mills theories, supergravity and noncommutative geometry. There are many other aspects of elementary particle physics and string theory that I am interested in, among them: Calabi-Yau compactifications, mirror symmetry, D-branes, the cosmological constant problem and the study of gravitational and gauge anomalies in the presence of branes. Keywords: String Theory, M-Theory
John J. Benedetto MTH 3104 301-405-5161 jjb at math.umd.edu	Harmonic Analysis, Fourier Analysis, Wavelets, Image Processing.
Carlos A. Berenstein AVW 2221 301-405-6845 carlos at src.umd.edu	Professor Berenstein's research interests lie in the theory and applications of complex variables, convolution equations, complexity, and linear systems.
Peter S. Bernard EGR 3116 301-405-5272 bernard at eng.umd.edu	My primary research interest lies in the development of gridfree methods for turbulent flow simulation. A scheme for modeling 3D flow via a vortex method has been developed with the participation of VorCat, Inc. (www.vorcat.com). Recent work includes simulations of automotive flow fields, mixing layers with particulates and a dilatation element method for modeling compressible flows.
Roger R. Betancourt TYD 3133 301-405-3479 betancou at econ.umd.edu	Dr. Betancourt's research interests currently lie in the area of applied microeconomics and economic development.
Gilmer L. Blankenship AVW 1427 301-405-3632 gilmer at eng.umd.edu	Stochastic and nonlinear control, Adaptive control, AI in engineering design.
Lawrence D. Bodin Professor Emeritus VMH 3301 301-405-2210 lbodin at umdacc.umd.edu
Michael Boyle MTH 4413 301-405-5135 mmb at math.umd.edu	Ergodic theory, dynamical systems, symbolic dynamics, matrices
Dieter R. Brill PHY 4202 301-405-6027 brill at physics.umd.edu	Black Hole Physics, Cosmology, (2+1)-dimensional model theories
Hugh A. Bruck EGR 2153 301-405-8711 bruck at eng.umd.edu	Processing, thermomechanical characterization, and computational design of multifunctional and functionally graded materials, energetic materials, nanocomposite materials, smart structures, and thin films; experimental methods for microscale and nanoscale materials characterization.
C
Richard V. Calabrese CHE 1208C 301-405-1908 rvc at eng.umd.edu	Dr. Calabrese's research interests are in turbulent mixing and multiphase flow, with emphasis on drop dispersion & coalescence, prediction & measurement of particle size distribution and prediction & measurement of velocity fields in stirred vessels, high shear mixers and other process equipment.
James A. Carton CSS 2417 301-405-5365 carton at atmos.umd.edu	Current research interests focusses on the dynamics of the tropical Atlantic as it responds to meteorological forcing on seasonal and longer timescales. Dr. Carton is also actively pursuing data assimilation methodologies to combine historical observations of ocean circulation with knowledge of the equations of motion to better represent past changes in the heat, mass, and freshwater of the oceans. Keywords: Meteorology, Atmoshperic and Oceanic Sciences
Ramalingam Chellappa AVW 4411 301-405-4526 rama at cfar.umd.edu	Signal and Image Processing, Computer Vision, Pattern Recognition, Multi-dimension Stochastic Processes, Statistical Inference, Computer Vision and Image Analysis, AI in Computer Vision, Neural Networks for Computer Vision
Mary C. Christman ANS 3123 301-405-8867 mc276 at umail.edu	Statistical modeling of environmental, ecological and biological datasets Development of spatial-temporal models Sampling designs for efficient estimation of parameters of populations that are highly clustered in space or time Statistical models for animal movement and behavior Collaborations with scientists in agriculture and life sciences
Avis Cohen BPS 2230 301-405-0069 ac61 at umail.umd.edu	Motor Control, Spinal Cord Regeneration and Computational Neuroscience and Neuromorphic Engineering
Jeffery M. Cooper MTH 3109 301-405-5130 jec at math.umd.edu	Partial Differential Equations of Hyperbolic Type
Peter J. Coughlin TYD 4101C 301-405-3482 coughlin at econ.umd.edu	Dr. Coughlin's research interests are in the areas of social choice, voting theory and applied game theory.
D
Larry S. Davis AVW 3361 301-405-2662 lsd at umiacs.umd.edu	Computer Vision, Homeland security, visual surveillance
Nicholas De Claris AVW 1363 301-405-3639 declaris at eng.umd.edu	Dr. DeClaris' research interests are in the areas of system science, computer engineering, and medical science and practice. Keywords: Mathematical and heuristic system methodologies, Computer and cognitive system engineering, Information processing, Decision support, Artificial intelligence, Neural networks, Application to health sciences and to medicine
Anil Deane CSS 3223 301-405-4866 deane at ipst.umd.edu	Dr. Deane's research is in the area of Computational Fluid Dynamics and Parallel Computing, with funded projects in Space Physics, Microgravity Fluid Physics and High Performance Computing. Over time he has worked on large-scale simulations of thermal convection, wake flows, compressible turbulence, and magnetohydrodynamics. The numerical techniques used for these simulations include spectral methods, spectral-element methods, finite volume schemes for compressible flows, and shock-capturing methods (particularly flux-corrected transport).
Georg Dolzmann MTH 4101 301-405-5066 dolzmann at math.umd.edu
Bruce Donaldson Professor Emeritus EGR 1182 301-405-1127 bdonalds at umd.edu
J. Robert Dorfman IPT 1108 301-405-4804 jrd at glue.umd.edu	Professor Dorfman is engaged in research on the relation between dynamical systems theory and nonequilibrium statistical mechanics, working in mathematical statistical mechanics, his particular branch of theoretical physics
William D. Dorland AVW 3325 301-405-1608 bdorland at umd.edu	Development of kinetic (phase space) algorithms for high performance computing, with an emphasis on Eulerian schemes and closure theory Direct numerical simulation of collisionless, magnetized plasma turbulence for first-principles simulation of: Turbulent transport in magnetic confinement fusion devices Turbulent heating and particle acceleration in astrophysical plasmas Development of lightweight, portable, high-performance components for practical high performance parallel computing Keywords: Turbulence in magnetized plasma; computational physics.
Bonnie J. Dorr AVW 3157 301-405-6768 bonnie at umiacs.umd.edu	Broadscale multilingual processing, interlingual machine translation, summarization, linguistically-informed statistical models.
Alex J. Dragt Professor Emeritus PHY 3124C 301-405-6053 dragt at physics.umd.edu	Nonlinear Dynamics, Lie Algeba, Accelerator Physics, Quantum Computing http://www.physics.umd.edu/people/faculty/dragt.html http://www.physics.umd.edu/dsat http://www.physics.umd.edu/sqc
Ralph Dubayah LEF 1149B 301-405-4069 rdubayah at glue.umd.edu	Land surface energy and water balances, Remote sensing, Climatology, Landcover characterization
Ramani Duraiswami AVW 3365 301-405-6710 ramani at umiacs.umd.edu	Audio and Computational Acoustics: Acoustics for perceptual reality, Microphone Arrays, Auditory User Interfaces, Underwater acoustics. Scientific Computation: Fast Multipole Methods, Computational Statistics and Learning Methods, Data Fitting and Modeling, Boundary Element Methods Computer Vision: Vision aware audio, Tracking, Pose Keywords: Computer audition, computer vision and scientific computing
E
Theodore L. Einstein PHY 2307 301-405-6147 einstein at physics.umd.edu	Physics of surfaces and complex interfaces, Properties of vicinal surfaces, Statistical mechanics of lower dimensions.
Howard C. Elman AVW 3255 301-405-2694 elman at cs.umd.edu	Numerical analysis, numerical linear algebra, computational fluid dynamics, parallel computation.
Anthony Ephremides AVW 2333 301-405-3641 tony at eng.umd.edu	Analysis and Optimization of Communication Networks, Wireless Systems, and Queueing Models. Also, Information Theory for Networks, Digital Communications, and Game-theoretic Models. Special recent interest in Cooperative Communications and Network Coding.
F
William F. Fagan BPS 3235 301-405-4672 bfagan at glue.umd.edu	I use analytical and computational approaches to understand aspects of population dynamics and species interactions. I focus on problems in spatial ecology using systems of PDEs, integrodifference equations, agent-based modeling, and network modeling. I also study aspects of extinction risk and parameter estimation from noisy time series using stochastic population models. Some of my models are 'pure theory' in nature whereas others are tightly tied to data from particular field systems (e.g., Mount St. Helens). Keywords: Theoretical Ecology; Quantitative Conservation Biology
Patrick M. Fitzpatrick MTH 1101 301-405-5051 pmf at math.umd.edu	Topological Methods in Nonlinear Partial Differential Equations
Michael Fox-Rabinovitz CSS 2207 301-405-5395 foxrab at essic.umd.edu	Development of variable-resolution stretched-grid (SG)-GCMs and SG-DASs (data assimilation systems) for regional and subregional climate and climate change and other studies and applications. Studies of anomalous regional climate events including the major monsoonal circulations (like NAMS), and the extreme summer precipitation events (like the U.S. summer droughts and floods), with the SG-GCM and SG-DAS. Collaborative studies on atmospheric chemistry transport experiments. Initiation of and participation in the international SGMIP (Stretched-Grid Model Intercomparison Project) Collaborative interdisciplinary studies on developing and implementation of fast and accurate neural network approximations for model physics. Numerical approximations and filters.
Mark I. Freidlin MTH 3308 301-405-5143 mif at athena.umd.edu
Michael C. Fu VMH 4305 301-405-2241 mfu at umd5.umd.edu	Simulation modeling and analysis, production/inventory control, applied probability, and queueing theory; stochastic derivative estimation, simulation optimization of discrete-event systems, Markov decision processes; with application to supply chain management and financial engineering.
G
Steven A. Gabriel EGR 1143 301-405-3242 sgabriel at eng.umd.edu	Development of models and algorithms in Operations research, optimization, and equilibrium modeling as applied to problems in infrastructure such as 1. Nash-Cournot games in natural gas and electricity markets 2. Optimal determination of retail electricity contracts with stochastic load and prices 3. Bilevel planning problems in energy with discrete upper-level variables 4. Multiobjective optimization as applied to waste management, telecommunications networks, and land development 5. Stochastic market equilibrium problems
William Gasarch AVW 3213 301-405-2698 gasarch at cs.umd.edu	Communication Complexity, Circuits, Games, Logic.
Sylvester J. Gates PHY 4125 301-405-6025 gatess at wam.umd.edu	My career interest in the mathematical and theoretical physics of supersymmetric particles, fields and strings began with my Ph.D. thesis, the first on the topic of SUSY at MIT in 1977, and has continued throughout my career. In recent times my focussed interests have been upon two classes of problems: (a) the foundations of the symmetries of superstring/M-theory and (b) 4D, N = 1 supersymmetry in the context of hadron phenomenology and effective actions. More generally, however, I do work in a broad range of investigation involving supersymmetrical systems. Keywords: Superstring Theory, M-Theory, Supersymmetrical Systems
James W. Gentry CHE 1223A 301-405-1915 gentry at eng.umd.edu	Aerosol Mechanics
Harland M. Glaz MTH 4405 301-405-5470 hmg at math.umd.edu
Bruce L. Golden VMH 4339 301-405-2232 bgolden at rhsmith.umd.edu	Some of my interests are network optimization, genetic algorithms, evolutionary computation, heuristic search, applied operations research, operations research/operations management in healthcare, logistics & distribution.
William M. Goldman MTH 3106 301-405-5124 wmg at math.umd.edu	I am interested in the deformation theory of geometric structures on manifolds. Such structures are modeled on geometris on homogeneous spaces of Lie groups. They include hyperbolic geometry, projective geometry, inversive geometry, constant curvature Lorentzian geometry and many others. The study closely relates to discrete subgroups of Lie groups, gauge theory, low-dimensional topology and mathematical physics. Of particular interest is the action of the topological symmetry group (the mapping class group) on the deformation space (generalizing Teichmueller space), which opens up many questions in dynamical systems. The Experimental Geometry Lab provides a community of mathematicians working on examples of these structures using technology. In particular we are interested in visualization and computation for geometric structures, discrete group actions, and dynamical systems on moduli spaces. Participants in the lab have included senior researchers, postdocs, graduate students, undergraduate students and high school students. Keywords: manifold, geometry, homogeneous space, Lie group, symmetry, geometric structure, mapping class group, uniformization, moduli space, dyanmical system
Paul S. Green MTH 4406 301-405-5106 psg at math.umd.edu
Oscar W. Greenberg PHY 4108 301-405-6014 owgreen at physics.umd.edu	I am interested in the relation of discrete symmetries, locality of various types and Lorentz invariance. I am presently studying the spacetime dependence of the relative spin-spin correlation function connected with tests of the Bell inequalities. More generally, I am interested in quantum information and related issues.
James J. Griffin PHY 2109 301-405-6118 griffin at physics.umd.edu	Theoretical Quarks Hadrons and Nuclei
Manoussos Grillakis MTH 2207 301-405-5173 mggrlk at wam.umd.edu	Nonlinear waves and stability, Nonlinear partial differential equations, Harmonic Analysis
Nail A. Gumerov AVW 3305 301-405-8210 gumerov at umiacs.umd.edu	My research interests are broad and include many interdisciplinary areas where mathematical modeling and efficient ways of solution of mathematical problems are crucial. Keywords: Acoustics, Computational Methods, Mathematical Methods, Inverse Problems,Physichochemical Hydrodynamics, Multiphase Flows, Classical Hydrodynamics and Aeromechanics, Electromagnetic Waves, Computer Vision
H
Nicholas J. Hadley PHY 4319 301-405-6063 hadley at umdhep.umd.edu	My interests are in experimental particle physics. Appropriate topics for AMSC students include the applications of computing to large data sets using the grid, and simulating and reconstructing data using pattern recognition and other algorithms.
Adil B Hassam AVW 3307 301-405-1417 hassam at plasma.umd.edu	Controlled Thermonuclear Fusion, Solar-Terrestrial Plasma Physics, Industrial Plasmas. Keywords: Theoretical Plasma Physics
Dennis M Healy MTH 2111 301-405-5047 dhealy at math.umd.edu
Jeffrey Herrmann EGR 0151B 301-405-5433 jwh2 at umd.edu	My research seeks to improve our understanding of product development organizations and manufacturing systems. This falls generally into the area of operations research. Keywords: Operations Research
Dennis M Healy MTH 2111 301-405-5047 dhealy at math.umd.edu
Timothy K. Horiuchi AVW 2215 301-405-7412 timmer at isr.umd.edu	Bat Echolocation, Computational Neuroscience, Learning Systems, Neuromorphic VLSI Design,Constrained Optimization Circuits, Mobile Robotics, Neural Recording and Spike-Sorting Techniques and Tools
Bei-Lok Hu PHY 4205B 301-405-6029 hub at physics.umd.edu	Quantum Field Theory in Curved Spacetime, Stochastic Semiclassical Gravity, Early Universe Quantum Processes, Nonequilibrium Quantum Field Theory. Fluctuation Phenomena. Foundational Issues of Quantum Mechanics, Relevance to Quantum Computing. Theoretical Aspects of Quantum and Atom Optics.
Brian R Hunt MTH 4408 301-405-5108 bhunt at ipst.umd.edu	Weather Forecasting and State Estimation for Spatiotemporal Chaos. Prevalence, Projection, and Dimension. Fractals and Dimension in Dynamical Systems. Optimal Orbits and Invariant Measures of Chaotic Systems. Dynamics on Networks. Dynamics near Invariant Manifolds: Intermingled Basins, Bubbling, and Synchronization. Bifurcations and Periodic Windows. Other Dynamical Systems Papers. Computational Genomics. Keywords: Chaotic Systems, Applied Dynamics
J
Wolfgang Jank VMH 4322 301-405-1118 wjank at rhsmith.umd.edu	My methodological research interests center around computational statistics, functional data analysis, nonparametric statistics, methods for spatial and temporal data, Monte Carlo methodology, stochastic optimization and information visualization. I am interested in applications in electronic commerce, marketing, operations management and aviation.
Raymond L Johnson MTH 2107 301-405-7061 rlj at math.umd.edu	I have studied continuous dependence on data of backwards parabolic equations, properties of Besov spaces defined using parabolic equations, and weighted estimates for the Fourier transform. My current interest is the study of spectral synthesis results for Hardy spaces of the line.
K
Eugenia E Kalnay CSS 3431 301-405-5370 ekalnay at atmos.umd.edu	Predictability and ensemble forecasting, numerical weather prediction, data assimilation, coupled ocean-atmosphere modeling and climate change.
Jonathan Katz AVW 3225 301-405-1226 jkatz at cs.umd.edu	I work on problems in theoretical computer science, mainly in the area of cryptography. I am interested in problems both of a combinatorial and an algebraic/number-theoretic nature. If you are interested in research in this area, please consult the list of publications on my web page or send me an email.
Benjamin Kedem MTH 4411 301-405-5112 bnk at math.umd.edu	I have done work in time series analysis, space-time statistical problems, and combination of information from several sources.
Harry H Kelejian TYD 3137 301-405-3492 kelejian at econ.umd.edu	Dr. Kelejian's research interest has focused on both applied and theoretical econometrics.
Young S Kim PHY 4122 301-405-6024 yskim at physics.umd.edu	Elementary particle theory; Lorentz group applicable to other areas of physics including quantum optics, condensed matter physics, and classical mechanics; foundations of quantum mechanics, particularly the question of making the uncertainty principle consistent with special relativity.
Rami A Kishek AVW 1202G 301-405-5012 ramiak at umd.edu	Professor Kishek's research interests revolve on the electrodynamics of swarms of particles interacting through long range forces. The centerpiece of Kishek's current research is the University of Maryland Electron Ring (UMER), a small-scale (4-m diameter) recirculator transporting up to 100 mA of 10 keV electrons, or about 10 nC per a 100-ns pulse. Professor Kishek is furthermore interested in realizing a competitive alternative source of energy using heavy ion beams to inertially drive miniature fusion reactions, an application that demands beams at extreme intensity. A primary area of expertise is in realistic computer modeling of these many-particle systems. Professor Kishek augments the experimental program with a superb computer simulation capability that is closely-coupled to experiment, and insures that computer modeling expertise is imparted to all graduate students under his guidance, including those pursuing experimental theses. In addition to simulation and modeling, Kishek is interested in correction and control problems, especially techniques that can be extended to hardware-in-the-loop configurations, taking advantage of the ns-scale propagation time of the UMER electrons.
Victor Korenman Professor Emeritus ADM 1122 301-405-6836 vk2 at umail.umd.edu
Perinkulam Krishnaprasad AVW 2233 301-405-6843 krishna at isr.umd.edu	Dr. Krishnaprasad's research interests lie in the broad area of geometric control theory and its applications. He has contributed to the understanding of parametrization problems in linear systems, the Lie algebraic foundations of certain nonlinear filtering problems pertaining to system identification, the Lie theory and stability of interconnected mechanical systems and symmetry principles in nonlinear control theory. Dr. Krishnaprasad's research interests also include mathematical problems in the kinematics and control of robot manipulators, tactile perception, and the development of tools for design automation in robotics. He is the Director of the Intelligent Servosystems Laboratory at Systems Research Center, University of Maryland, College Park
David W. Kueker MTH 1102 301-405-5052 dwk at math.umd.edu	My research is in the area of mathematical logic known as model theory.
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Sung W. Lee EGR 3174 301-405-1128 lee at eng.umd.edu	Structural mechanics, finite element analysis, and composite structure
Shreevardhan Lele VMH 4347 301-405-2262 slele at rhsmith.umd.edu	Dr. Lele's research centers on data mining and managerial decision-making under uncertainty. He has also conducted research in the fields of real options, quality control, and simulation
C. David Levermore MTH 3101 301-405-5127 lvrmr at math.umd.edu	Much (but not all) of my research has revolved around the central theme of understanding how large-scale behaviors emerge from dynamics or structures on small-scales. This includes the classical question of statistical physics about the macroscpic desciption of systems of large numbers of particles given known microscopic physics. It also includes studies of semiclassical limits of nonlinear wave equations, convergence of numerical schemes, turbulence modeling, derivations of shallow water systems, derivations of fluid dynamical systems from kinetic theories, radiation transport through random media, and many other areas. These problems all fall into the what is now called the class of "multiscale" problems. Keywords: Multiscale problems, Boltzmann Equations, Nonlinear Wave Equations
Doron Levy MTH 3305 301-405-5140 dlevy at math.umd.edu	Applications of math to biology and medical sciences, imaging, immunology, biology, nonlinear dynamics, numerical analysis.
Jian-Guo Liu MTH 3313 301-405-5148 jliu at math.umd.edu	Analysis and computation of nonlinear partial differential equations arising in fluid dynamics and materials science. Computational fluid dynamics, numerical analysis, scientific computing and applied mathematics in general.
K.J. Ray Liu AVW 2219 301-405-6619 kjrliu at eng.umd.edu	Dr. Liu is Director of Communications and Signal Processing Laboratories and leads the Maryland Signals and Information Group (SIG) with research contributions that encompass broad aspects of wireless communications and networking; multimedia communications and signal processing; information forensics and security; biomedical imaging and bioinformatics; and signal processing algorithms and architectures, in which he has published over 400 refereed papers, books, and book chapters.
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Dilip B. Madan VMH 4809 301-405-2127 dmadan at rhsmith.umd.edu	I am particularly fascinated by how mathematical analysis, economic theory, and statistical methodology may be employed to extract interesting information from financial market data. My particular area of expertise is Mathematical Finance with its wide array of theoretical, applied and innovative concerns that range from issues of formulating and testing our understanding of market price determination to the more detailed aspects of pricing particular claims, like the wide range of equity and fixed income derivatives now traded, and improving the quality of risk management through the development innovative financial products and better methods for processing financial information. Keywords: Mathematical Finance
Hani S. Mahmassani EGR 1188 301-405-0221 masmah at umd.edu	Dynamic Traffic Assignment, Dynamics of User Behavior/ATIS, Advanced Public Transportation Systems, Advanced Transportation Management Systems, Freight Transportation and Logistics, Telecommuting, Bicycle and Pedestrian Behavior Research. Keywords: Transportation
Armand M. Makowski AVW 2357 301-405-6844 armand at isr.umd.edu	Traffic characterization and modeling in communication networks (e.g., TCP modeling and web caching). Resource allocation issues in wireless networks. Queueing systems and asymptotic methods for performance evaluation in communication networks. Stochastic systems and adpative algorithms (e.g., swarm intelligence). Keywords: Communication networks
Steven I. Marcus AVW 2415 301-405-3683 marcus at isr.umd.edu	Dr. Marcus' research interests lie in the areas of control and systems engineering, analysis and control of stochastic systems, Markov decision processes, stochastic and adaptive control, learning, fault detection, and discrete event systems, with applications in manufacturing and communication networks.
Isaak Mayergoyz AVW 2335 301-405-3657 isaak at eng.umd.edu	Power, Electromagnetic theory, Semiconductor device modeling.
Thomas J. Mcavoy Professor Emeritus AVW 2231 301-405-1939 mcavoy at eng.umd.edu
David M. Mount AVW 3209 301-405-2704 mount at cs.umd.edu	I am a member of the Algorithms and Theory Group at the University of Maryland. I do research on the design, analysis, and implementation of data structures and algorithms for geometric problems, particularly problems with applications in areas such as image processing, pattern recognition, information retrieval, and computer graphics.
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Prakash Narayan AVW 2353 301-405-3661 prakash at eng.umd.edu	Multiuser information theory, Communication theory, Communication networks, Cryptography, Information theory and statistics.
Robert W. Newcomb AVW 1347 301-405-3662 newcomb at eng.umd.edu	Analog VLSI, biomedical engineering especially ear type systems and heart models), circuit and systems theory (especially semistate theory and multiport synthesis), microsystems, neural networks (hardware & biologically motivated), robotics.
Ricardo H. Nochetto MTH 3310 301-405-5145 rhn at math.umd.edu	Free boundary problems and phase transitions: finite element methods, adaptivity, PDE issues
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Dianne P. O'Leary AVW 3271 301-405-2678 oleary at cs.umd.edu	My research has centered upon several themes, primarily related to computational linear algebra, scientific computing, and optimization. The work has involved a mixture of algorithm development and scientific applications, drawing upon tools in applied mathematics, numerical analysis, and computer science. These themes have led to applications in physics, biology, medicine, and engineering. Keywords: Numerical solution of ill-posed problems, image deblurring, Krylov sequence methods, optimization algorithms, information retrieval, and quantum computing.
Douglas William Oard AVW 3145 301-405-7590 oard at glue.umd.edu	My research interests include cross-language information retrieval, speech-based information retrieval, and information filtering.
John E. Osborn MTH 3108 301-405-5129 jeo at math.umd.edu	Numerical solution of partial differential equations.
Edward Ott AVW 3329 301-405-5033 eo4 at umail.umd.edu	Dynamics of large networks of coupled systems, Wave chaos, State estimation of large spatiotemporally chaotic systems.
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Ugo Piomelli EGR 2168 301-405-5254 ugo at eng.umd.edu	Numerical simulation of turbulent and transitional flows Keywords: Large-eddy Simulations
Mihai Pop Biomolecular Sciences Building. Rm. 3120F 301-405-7245 mpop at umiacs.umd.edu	Genome assembly, Environmental Sequencing Keywords: Genomics Computational Biology
Ingmar R. Prucha TYD 3147A 301-405-3499 prucha at econ.umd.edu	Dr. Prucha's research interests are in theoretical and Applied Econometrics. His applied work focuses on the determinants of dynamic factor demand (including investment in physical and R&D capital) and productivity. Keywords: Econometrics
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Subramanian Raghavan VMH 4352 301-405-6139 sr141 at umail.umd.edu	Dr. Raghavan's research primarily focuses on three areas---network design (e.g., telecommunications, logistics), data mining, and auctions. The unifying feature to these various research areas is the network and combinatorial optimization techniques he applies to these problems. Keywords: Network Design, Combinatorial Auctions, Data Mining
Edward F. Redish PHY 1308 301-405-6120 redish at physics.umd.edu	Nuclear theory with an emphasis in the theory of reactions and the quantum few-body problem.
James A. Reggia AVW 3233 301-405-2686 reggia at cs.umd.edu	Our research group focuses on studying and understanding 1) the underlying principles of biological computation, and how these principles can be adopted or modified to extend contemporary computer science methods, and 2) automated causal reasoning, such as abductive inference and Bayesian/belief networks. Keywords: Biologically-inspired Computing, Causal Reasoning
Donald H. Robbins EGR 2157 301-405-3591 drobbins at eng.umd.edu	Computational mechanics of solids and structures; constitutive relations for composite and finite strain materials; development of finite element models and procedures for multiscale analysis of composite structural components.
Jonathan M. Rosenberg MTH 2114 301-405-5166 jmr at math.umd.edu	Topology and geometry, especially of manifolds and singular spaces, non-commutative topology, index theory, C-algebras, Lie group representations, K-theory, applications to mathematical physics, especially string theory and other field theories Keywords: index theory, K-theory, non-commutative topology, C-algebras, string theory
Estelle Russek-Cohen ANS 301-405-1403 erussek at umd.edu	Linear models and multiple inequality hypotheses. Discriminant Analysis. Statistical Issues in Microbiology.
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Robert Sanner EGR 3186 301-405-1928 rmsanner at eng.umd.edu	Research interest include nonlinear control, spacecraft dynamics and control, aircraft dynamics and control.
Charles W. Schwartz EGR 0147C 301-405-1962	Pavement engineering (analytical and numerical modeling techniques; characterization and laboratory testing of pavement materials; performance modeling and prediction; pavement management); geomechanics (finite element analysis, fracture mechanics); engineering software design and development.
Shihab Shamma AVW 2415 301-405-3683 sas at eng.umd.edu	Dr. Shamma's research interests include biological aspects of speech analysis and neural signal processing.
Benjamin Shapiro EGR 3178 301-405-4191 benshap at eng.umd.edu	I am primarily intersted in research at the intersection of control theory and micro systems. We focus on model based control design with validation via experiments. Roughly speaking, we do 50% modeling, 30% control design, and 20% fabrication and experiments.
Mark A. Shayman AVW 2449 301-405-3667 shayman at eng.umd.edu	Traffic engineering, WDM networks, Free space optical networks, Ad hoc networks, Sensor networks, Distributed denial of service (DDoS) attack mitigation Keywords: Communication networks
Tien-Mo Shih EGR 2155 301-405-5273 shih at eng.umd.edu	Developing a robust scheme to solve a set of nonlinear equations; Newton-Raphson method and its failure.
Galit Shmueli VMH 4361 301-405-9679 gshmueli at rhsmith.umd.edu	Dr. Shmueli's research focuses on developing and using statistical and probabilistic methods in marketing, quality control, and bio-surveillance. She collaborates with researchers from computer science, marketing, and industry.
Eric V. Slud MTH 2413 301-405-5469 evs at math.umd.edu	Survival data analysis, Census statistics, arge-scale data problems with emphasis on cross-classified data, Stochastic processes. Keywords: Mathematical statistics and probability
Paul J. Smith MTH 4404 301-405-5104 pjs at math.umd.edu	Categorical data analysis. Robust and nonparametric statistical methods. Applications of statistics, particularly in the biomedical sciences.
Jiuzhou Song ANS 1121 ANSC 301-405-5943 songj88 at umd.edu	Dr. Song's current research interests are on bioinformatics, statistical genomics, biopathway analysis and gene regulatory network. Specifically, he works in novel computational methodologies for molecular biology and genetics, e.g., temporal gene expression analysis and biological information extraction from high throughput gene expression data. Keywords: Statistical genomics and bioinformatics
G.W. (Pete) Stewart AVW 3263 301-405-2681 stewart at cs.umd.edu	My basic area of research is numerical linear algebra, taken broadly. It in includes the analysis, design, and implementation of matrix algorithms for linear systems and eigenvalue problems. Applications of this work include control theory, computational statistics, signal processing, queueing theory, and data mining. Key Words and Phrases: Numerical linear algebra, linear systems, eigenvalue problems, sparse matrices, Markov chains.
Piotr Swistak TYD 1135B 301-405-4149 pswistak at gvpt.umd.edu	Mathematical Models In Social Science, Formal Theory, Behavioral Decision Theory, Methodology and Philosophy of Social Sciences. Keywords: Formal Political Theory
Istvan Szunyogh CSS 4213 301-405-4841 szunyogh at ipst.umd.edu
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Eitan Tadmor CSI 4149 301 405-0648 tadmor at umd.edu	Research interests include the analysis of time-dependent problems governed by linear and nonlinear PDEs, the construction, analysis and implementation of novel high-resolution algorithms for the approximate solution of these problems, and the interplay between theory and computational aspects of such approximate methods. Research topics include: Approximate methods for linear time-dependent problems (Key words: stability, accuracy, difference schemes and spectral methods for initial- and initial-boundary value problems) Hyperbolic problems with different time scales, Nonlinear convection diffusion problems (Key words: regularity, homogenization, incompressible Euler and critical thresholds in Euler dynamics) Nonlinear conservation laws (Key words: entropy functions, regularity, kinetic formulations) Approximate methods for nonlinear conservation laws and related problems (Key words: finite difference approximations, total-variation and entropy stability, convergence rate estimates, high-resolution central schemes for conservation laws, Hamilton-Jacobi and incompressible Euler eq's) Spectral methods (Key words: spectral recovery and detection of edges in spectral data, stability and convergence of spectral methods, spectral viscosity approximations) Image processing (Key words: multiscale representation)
Devarajan Thirumalai IPT 1112 301-405-4803 dt5 at umail.umd.edu	Research in Dr. Thirumalai's group focuses on various problems in equilibrium and non equilibrium statistical mechanics. Currently various aspects of the transition from liquid to amorphous state are being investigated. Another area of research involves the theoretical study of polymer-colloid interactions. Research is also being carried out to understand the dynamics of protein folding
Andre L. Tits AVW 2271 301-405-3669 andre at eng.umd.edu	Dr. Tits' main research interests lie in various aspects of numerical optimization, optimization-based system design and robust control with emphasis on numerical methods. In addition to carrying out fundamental research work in these areas, researchers in Dr. Tits' group have developed several software packages. Especially popular is FSQP, a tandem of sophisticated software suites for nonlinear constrainted optimization, in use at over 1000 sites around the world.
Steven A. Tretter AVW 1337 301-405-3670 tretter at eng.umd.edu	Communication theory, Coding, Signal processing
Konstantina Trivisa MTH 4103 301-405-5067 trivisa at math.umd.edu	Hyperbolic Systems of Conservation Laws, Models of Compressible Fluids, Variational Problems - Phase Transitions, Applications to Materials Science and Fluid Dynamics. Keywords: Nonlinear Partial Differential Equations
Todd W. Troyer BPS 0129C 301-405-9971 ttroyer at glue.umd.edu	Dr. Troyer studies the learning and production of dynamic patterns in brain circuits, using both modeling and experimental approaches. Theoretical work includes understanding the dynamics of noisy networks of simple model neurons. Experimental work focusing on vocal learning in song birds. Keywords: Dynamical systems, computational neuroscience, neural modeling, stochastic dynamics, learning, birdsong
Chung-Li Tseng EGR 1155 301-405-1341 chungli at eng.umd.edu	Financial Engineering, Operations Research, Infrastructure Management
Athanasios E. Tzavaras MTH 3312 301-405-5336 tzavaras at math.umd.edu	Dr. Tzavaras is interested in the analysis of partial differential equations that arise in various models of kinetic theory and in the passage from microscopic to macroscopic descriptions in physics. Specific current interests are: mathematical aspects of kinetic models for dilute polymeric liquids ; homogenization and multiscale wave propagation ; mathematics of transport equations ; elastodynamics and viscoelasticity. Keywords: Applied Partial Differential Equations, Kinetic theory and Continuum Physics.
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Tobias Von Petersdorff MTH 4416 301-405-5117 tvp at math.umd.edu	Elliptic and parabolic boundary value problems; numerical methods. Nonsmooth domains like polygons and polyhedra: Singular behavior of the solution near edges and vertices, Efficient numerical approximation using Finite Element Methods, Boundary Element Methods and nonuniform meshes. Multigrid and Wavelet techniques for Boundary Element Methods
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Stephen Wallace PHY 2107 301-405-7128 stevewal at physics.umd.edu	Dr. Wallace is a member of the Theory Group for Quarks, Hadrons, and Nuclei. The group conducts research in quantum chromodynamics, lattice QCD, hadron and nuclear physics.
Lawrence C. Washington MTH 4415 301-405-5116 lcw at math.umd.edu	Number theory, cyclotomic fields, elliptic curves, cryptology
Peter Wolfe MTH 3314 301-405-5149 pnw at math.umd.edu	My Interests are Differential Equations, Numerical Analysis and Nonlinear Mechanics.
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Grace L. Yang MTH 2311 301-405-5480 gly at math.umd.edu
James A. Yorke CSS 4311 301-405-4875 yorke2 at ipst.umd.edu	Professor Yorke's current research projects range from chaos theory and weather prediction and genome research to the population dynamics of the HIV/AIDS epidemic. For more detail see: http://yorke.umd.edu/current-projects.html Keywords: Chaos, Weather Prediction, Genome, HIV/AIDS
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Michael R. Zachariah EGR 2125 301-405-4311 mrz at umd.edu	Microcombustion, Energetic Materials and Reacting Flows (Combustion and Thermal CVD Processes). Fundamentals of Gas-Phase Chemical Kinetics: Measurement and Theory. Ab-Initio Computational Chemistry and Classical Molecular Dynamics. Numerical Simulation of Reacting Flows with Complex Chemistry Molecular-Beam and Single Particle Mass-Spectrometry. Keywords: NanoParticle Science, Manufacturing and Measurements.
Evanghelos Zafiriou CHE 1208A 301-405-6625 zafiriou at eng.umd.edu	Dr. Zafiriou's interests are in robust and nonlinear process control, control-relevant identification, and run-to-run and feedback control in semiconductor manufacturing.
Paul Zantek VMH 4349 301-405-8644 pzantek at rhsmith.umd.edu	Dr. Zantek conducts research on the improvement of quality and productivity in operations, with a focus on methods for use in improvement initiatives such as Six Sigma. The goals of his research are to enhance the effectiveness of these methods and to develop improved methods or methods for new problems. In his research, he uses models and methods from various traditional disciplines, including economics, engineering, mathematics, and statistics.
Da-Lin Zhang CSS 2413 301-405-2018 dalin at atmos.umd.edu	Prof. Zhang works on the modeling and understanding of fundamental processes taking place in squall lines, mesoscale convective complexes, hurricanes and heavy rain- (or snow-) storms, tropical and extratropical cyclones, gravity waves, frontal circulations and topographically generated weather phenomina. His research involves simulating a variety of different severe convective systems and cyclones; examining the meso-beta-scale structures and evolution as well as the mechanism(s) whereby they develop; testing theories, hypotheses and various model physical representations; and finally interpreting, to the extent possible, the observed behaviors of these weather systems. His research interests also include the development and improvement of the planetary boundary layer and cumulus parameterization techniques, cloud representations in mesoscale numerical models, and the improvement of warm-season quantitative precipitation forecasts and severe weather warnings. Keywords: Mesoscale Convective Systems, Tropical and Extratropical Cyclones, Mesoscale Modelling, Regional Climate, Air Pollution Meteorology