AMSC - Faculty

Antman, Stuart S. Distinguished University Research Professor
Mathematics

Email:
Webpage: http://www.math.umd.edu/~ssa/
Research: Professor Antman studies a variety of dynamical 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 or electromagnetic fields. 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.

Austin, Mark A. Associate Professor
Civil & Environmental Engineering

Email:
Webpage: http://www.isr.umd.edu/~austin/
Research: 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.

Ayyub, Bilal Professor
Civil & Environmental Engineering

Azarm, Shapour Professor
Mechanical Engineering

Email:
Webpage: https://enme.umd.edu/faculty/azarm
Research: (i) Design Optimization: Single- and multi-objective optimization; optimization under uncertainty; multiple coupled subsystems (system of systems) optimization; approximation assisted optimization with computationally expensive simulations; (ii) Decision Support Systems: Multi-attribute decision analysis strategies for selection; capturing decision maker’s preferences under risky conditions; integration of business and engineering decisions; (iii) Design for Market Systems: Design of competitive single products, product lines, bundled (multi-category) products with upstream (part/subassembly/assembly) and/or downstream supply chain (manufacturers, retailers, service providers) considerations under uncertainty; (iv) Applications: Consumer electronics (e.g., smart phones, tablet computer); heat exchangers; power tools; power electronics; data centers; oil refineries; oil/gas pipelines; unmanned vehicles (walking robots, unmanned aerial vehicles, unmanned underwater vehicles); network infrastructure, and numerous others.

Babadi, Behtash Associate Professor
Electrical & Computer Engineering

Baeder , James Professor
Aerospace Engineering

Balachandran , Balakumar Professor
Mechanical Engineering

Email:
Webpage: http://www.enme.umd.edu/faculty/chair
Research: His research interests include nonlinear phenomena, dynamics and vibrations, and control, and his recent efforts have focused on the following: i) taking advantage of nonlinear phenomena for the benefit of a system, ii) data-driven nonlinear dynamics, iii) interplay between noise and nonlinearity, and iv) systems with delays.

Balan, Radu Professor
Mathematics

Email:
Webpage: http://www2.math.umd.edu/~rvbalan/
Research: Applied harmonic analysis, signal processing, machine learning, modeling.

Ball, Michael Professor
Department of Decision, Operations, & Information Technologies

Baras, John S. Professor
Electrical & Computer Engineering

Email:
Webpage: http://www.isr.umd.edu/~baras/
Research: 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.

Barg, Alexander Professor
Electrical & Computer Engineering

Bedrossian, Jacob Professor
Mathematics

Email:
Webpage: http://www2.cscamm.umd.edu/~jacob/
Research: My research is focused on the mathematical analysis of PDEs arising in fluid mechanics and plasma physics. Recently, most of my work has focused on understanding mising and nonlinear stability in fluid mechanics at high Reynolds number and Landau damping-related effects in kinetic theory in the collisionless limit with a specific interest to problems relevant to plasma physics.

Benedetto, John J. Professor
Mathematics

Email:
Webpage: http://www2.math.umd.edu/~jjb/
Research: Harmonic analysis and applications

Bentley, William Distinguished University Professor
Bioengineering

Email:
Webpage: https://bentley.umd.edu/
Research: Recent interests are on deciphering and manipulating signal transduction pathways, including those of bacterial communication networks, for altering cell phenotype. To enable discovery, his lab develops new strategies for opening ‘communication’ between devices and biological systems by the creation and facile assembly of biologically functional interfaces. These concepts are emerging as a field of ‘biofabrication’ that exploits biological components and processes for assembly.

Bernard, Peter S. Professor Emeritus
Mechanical Engineering

Bhatele, AbhinavAssistant Professor
Computer Science

Email: bhatele@cs.umd.edu
Webpage: http://www.cs.umd.edu/~bhatele
Research: Dr. Bhatele's research interests are broadly in systems and networks, with a focus on parallel computing and big data analytics. He has published research in programming models and runtimes, network design and simulation, applications of machine learning to parallel systems, and on analyzing, modeling and optimizing the performance of parallel software and systems.

Bjarnadóttir, MargrétAssociate Professor
Decision, Operations & Information Technologies

Email:
Webpage: https://www.rhsmith.umd.edu/directory/margret-bjarnadottir
Research: Dr. Bjarnadóttir specializes in Operations Research methods focusing on data informed decision making, typically combining optimization modeling with machine learning approaches. Her work spans applications in health care, finance, people analytics and sports.

Blankenship, Gilmer L. Professor
Electrical & Computer Engineering

Brill, Dieter Professor
Physics

Bruck, Hugh A. Professor
Mechanical Engineering

Email:
Webpage: http://www.enme.umd.edu/~bruck/WAM-pub/main.html
Research: 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.

Butts, Daniel Associate Professor
Biology

Calabrese, Richard V. Professor
Chemical & Biomolecular Engineering

Email:
Webpage: http://www.ench.umd.edu/faculty/calabrese
Research: Dr. Calabrese's research interests are in turbulent mixing and multiphase flow, with emphasis on drop dispersion and coalescence, prediction and measurement of particle size distribution and prediction and measurement of velocity fields in stirred vessels, high shear mixers and other process equipment.

Cameron, Maria Associate Professor
Mathematics

Email:
Webpage: http://www2.math.umd.edu/~mariakc/
Research: Scientific computing, development of numerical and graph algorithms, methods for the study of rare events and transition paths in stochastic systems, and applications to natural sciences, in particular to chemical physics.

Carpuat, Marine Assistant Professor
Computer Science

Carton, James A. Professor
Atmosphere and Oceanic Science

Email:
Webpage: http://www.atmos.umd.edu/~carton/
Research: Ocean dynamics and the role the ocean plays in climate variability. Current interests include tropical climate variability; exchange processes between the North Atlantic and Arctic (and their relationships to sea ice loss); the changing geochemistry of the oceans; and techniques for reconstructing historical variability of ocean climate.
Keywords: Meteorology, Oceanography, Atmospheric and Oceanic Sciences, Climate

Cerrai, Sandra Professor
Mathematics

Email:
Webpage: http://www2.math.umd.edu/~cerrai/
Research: probability theory, stochastic partial differential equations

Chen, ShuoAssociate Professor
Epidemiology and Biostatistics

Childs, Andrew Professor
Computer Science

Coughlin, Peter J. Associate Professor
Economics

Cummings, Michael Professor
Biology

Czaja, Wojciech Professor
Mathematics

Email:
Webpage: http://www2.math.umd.edu/~czaja/
Research: Applied and theoretical harmonic analysis; signal and image processing; machine learning.

Davis, Larry S. Professor
Computer Science

De Rosa, Antonio Assistant Professor
Mathematics

Email:
Webpage: https://sites.google.com/view/antonioderosa/home
Research: My research is focused on the mathematical analysis of geometric PDEs arising from geometric variational problems. My work lies at the interface between geometric analysis, PDEs, geometric measure theory and calculus of variations. Part of my research is devoted to optimal transport. Recently I have become also interested in the interplay between geometric measure theory and mathematics of data science.

Daume, Hal Professor
Computer Science

Deane, Anil Research Associate Professor
Institute for Physical Science & Technology

Email:
Webpage: http://terpconnect.umd.edu/~deane/
Research: 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).

Dickerson, John Assistant Professor
Computer Science

Email:
Webpage: http://jpdickerson.com/
Research: Dr. Dickerson's lab works at the intersection of computer science, economics, and operations research. Their current research focuses on the principled design and practical implementation of matching markets (organized markets that match, e.g., organ donors to patients, potential roommates, or students to universities). The lab has extensive experience designing and fielding such markets in healthcare, TV and online advertising, and talent sourcing, and recently in formally addressing the division of labor between ethically-minded policymakers and ethically-neutral market designers.

Dorland, William D. Professor
Physics

Email:
Webpage: http://umdphysics.umd.edu/about-us/people/faculty/126-dorland.html
Research:
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.

Dubayah, Ralph Professor
Geography

Duncan, James Professor
Mechanical Engineering

Duraiswami, Ramani Professor & Associate Chair for Graduate Education
Computer Science

Email:
Webpage: http://www.umiacs.umd.edu/~ramani/
Research:
Audio and Computational Acoustics: Acoustics for perceptual reality, microphone arrays, auditory user interfaces
Scientific Computation: Fast multipole methods, computational statistics and learning methods, randomization, data fitting and modeling, boundary element methods
Computer Vision: Vision aware audio, tracking, pose
Keywords: Computer audition, fast multipole methods, machine learning

Einstein, Theodore L. Professor
Physics

Elman, Howard C. Professor
Computer Science

Ephremides, Anthony Distinguished University Professor
Electrical & Computer Engineering

Email:
Webpage: http://www.ece.umd.edu/faculty/ephremides
Research: Research interests include all aspects of Communications Systems (Information Theory, Communication Theory, Multi-user Systems, Communication Networks, Satellite Systems) with focus on Energy Efficiency and Cross-Layer Approaches to Design. He is also interested in Systems Theory, Stochastic Systems, Optimization, Signal Processing, Wireless Communications.

Evans, Michael Associate Professor
Geology

Fagan, William F. Distinguished University Professor
Biology

Email:
Webpage: http://www.clfs.umd.edu/biology/faganlab/
Research: 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).

Fitzpatrick, Patrick M. Professor
Mathematics

Email:
Webpage: http://www2.math.umd.edu/~pmf/
Research: study of topological methods in nonlinear operator theory

Forni, Giovanni Professor
Mathematics

Email:
Research: Dynamical systems and smooth ergodic theory of zero entropy systems, Renormalization methods in dynamical systems, KAM theory, Teichmueller dynamics, Homogeneous Dynamics and Number Theory, Billiards in Polygons and related systems, Unipotent Flows (horocycle flows, nilflows) and their Time-Changes.

Freidlin, Mark I. Distinguished University Professor
Mathematics

Email:
Webpage: http://www2.math.umd.edu/~mif/
Research: asymptotic problems in stochastic processes and PDE's

Fu, Michael C. Professor
Department of Decision, Operations, & Information Technologies

Email:
Webpage: https://www.rhsmith.umd.edu/directory/michael-fu
Research: 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.

Gabriel, Steven A. Professor
Mechanical Engineering

Gasarch, William Professor
Computer Science

Girvan, Michelle Professor
Physics

Email:
Webpage: http://networks.umd.edu/
Research: My research focuses the theory of complex networks as well as applications to biological systems. Much of the theoretical portion of my work involves studies of community structure (e.g. modularity) in complex networks – how it arises, different ways to quantify it, algorithms to detect it, etc. In terms of applying abstract concepts from network theory to experimental systems, I am broadly interested in high-throughput biological networks, and have recently been focused on gene interaction networks. In particular, my collaborators and I have been studying structural and dynamical features of cancer in experimentally-derived gene interaction networks. In an effort to connect empirical results back to theory, we are investigating the utility of Boolean models of genetic control for understanding the diverse patterns of gene expression observed in cancer cells.

Golden, Bruce L. Professor
Decision, Operations & Information Technologies

Goldman, William M. Professor
Mathematics

Email:
Webpage: http://www2.math.umd.edu/~wmg/
Research: 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.

Goldstein, Tom Perotto Associate Professor
Computer Science

Email:
Webpage: https://www.cs.umd.edu/~tomg/
Research: My research lies at the intersection of machine learning and optimization, and targets applications in computer vision and signal processing. I work at the boundary between theory and practice, leveraging mathematical foundations, complex models, and efficient hardware to build practical, high-performance systems. I design optimization methods for a wide range of platforms ranging from powerful cluster/cloud computing environments to resource limited integrated circuits and FPGAs.

Greenberg, Oscar W. Professor Emeritus
Physics

Email:
Webpage: http://www.umdphysics.umd.edu/index.php/about-us/people/faculty/138-greenberg.html
Research: 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.

Grillakis, Manoussos Professor
Mathematics

Email:
Webpage: http://terpconnect.umd.edu/~mggrlk/
Research: Nonlinear waves and stability, Nonlinear partial differential equations, Harmonic Analysis

Gumerov, Nail A. Senior Research Scientist
Institute for Advanced Computer Studies

Hadley, Nicholas J. Professor
Physics

Hahn, Jin-Oh Associate Professor
Mechanical Engineering

Email:
Webpage: http://www.enme.umd.edu/clark/faculty/545/JinOh-Hahn
Research: Mathematical Modeling, System Identification, Closed-Loop Control, Health Monitoring, Fault Diagnostics and Accommodation in Dynamic Systems with Emphasis on Challenges in Health and Medicine; Physiological Monitoring and Closed-Loop Control; Medical Cyber-Physical Systems

Harring, Jeffrey Professor
Measurement, Statistics, and Evaluation

Hassam, Adil B. Professor
Physics

He, Xin Associate Professor
Epidemiology and Biostatistics

Herrmann, Jeffrey Professor
Mechanical Engineering

Horiuchi, Timothy K. Associate Professor
Electrical & Computer Engineering

Hu, Bei-Lok Professor
Physics

Email:
Webpage: http://www.umdphysics.umd.edu/index.php/about-us/people/faculty/153-hu.html
Research: 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.

Huang, Furong Assistant Professor
Computer Science

Email:
Webpage: http://www.furong-huang.com/
Research: Furong Huang's research focuses on machine learning, high-dimensional statistics and distributed algorithms --- both the theoretical analysis and practical implementation of parallel spectral methods for latent variable graphical models. Some applications of her research include developing fast detection algorithms to discover hidden and overlapping user communities in social networks, learning convolutional sparse coding models for understanding semantic meanings of sentences and object recognition in images, healthcare analytics by learning a hierarchy on human diseases for guiding doctors to identify potential diseases afflicting patients, and more. She has made significant contributions in non-convex optimization for spectral methods (matrix and tensor decomposition) and learning latent variable graphical models on distributed systems with large-scale data. She has also worked on distributed spectral decomposition techniques for topic modeling and mixed membership detection for large-scale networks with extension to temporally evolving networks. Her work is characterized by the development and application of sophisticated novel numerical methods to diverse problems in social networks, natural language processing, image processing, and computational biology --- and the delivery of research results through open-source software. She was a keynote speaker at the Tensor Workshop at ICCV'17, and organized the Matrix Factorization Workshop at the 2017 Heidelberg Laureate Forum. She serves on the Program Committee of the SysML'18 conference, bridging the Machine Learning and Computer Systems research communities. Prof. Huang was a recipient of the Adobe Research Award 2017.

Hunt, Brian R. Professor
Institute for Physical Science & Technology

Email:
Webpage: http://terpconnect.umd.edu/~bhunt/
Research: 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

Ide, Kayo Associate Professor
Atmospheric & Oceanic Science

Email:
Webpage: http://www.atmos.umd.edu/~ide/
Research: Dr. Ide's research interests concern dynamics of atmosphere and oceans from interdisciplinary perspective, in particular: data assimilation as scientific monitoring and prediction, observing system design, and study of transport and mixing from perspectives of dynamical and control systems.

Jacobs, David Professor
Computer Science

Kalnay, Eugenia E. Distinguished University Professor
Atmospheric and Oceanic Science

Katz, Jonathan Professor
Computer Science

Email:
Webpage: http://www.cs.umd.edu/~jkatz/
Research: 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.

Kedem, Benjamin Professor
Mathematics

Email:
Webpage: http://www2.math.umd.edu/~bnk//
Research: I have done work in time series analysis, space-time statistical problems, and combination of information from several sources.

Keller, Sallie

Kishek, Rami Alfred Research Professor
Institute for Research in Electronics and Applied Physics

Email:
Webpage: http://www.umer.umd.edu/ramiak/
Research: Kishek's research is in applied electromagnetics (beams, plasmas, microwaves) and the nonlinear dynamics of many-body systems, with specific interest in space charge effects, computation, and multipactor. Broad applications include high-intensity particle accelerators and space-based communication systems. Nearly 25 years experience as a researcher and educator.

Krishnaprasad, Perinkulam Professor
Electrical & Computer Engineering

Email:
Webpage: http://www.isr.umd.edu/~krishna/
Research: Krishnaprasad's interests lie in the broad areas of geometric control theory, filtering and signal processing theory, robotics, acoustics, and biologically-inspired approaches to control, sensing and computation. He has made contributions to system identification, geometric mechanics, actuation based on smart materials, and control of collectives. His current work is focused on pursuit and cohesion in nature and in engineered systems. Key words: geometric methods, collective behavior, Lie groups, stability and control, pursuit phenomena, bio-inspiration, statistical physics, evolutionary games.

La, Richard J. Associate Professor
Electrical & Computer Engineering

Email:
Webpage: http://www.ece.umd.edu/~hyongla/
Research: Richard J. La's research interest are i) mathematical analysis of communication networks, ii) design and evaluation of resource allocation algorithms for communication networks, and iii) application of game theory and mechanism design. In particular, his past research activities focused on congestion control in the Internet, wireless scheduling, mobile ad-hoc network routing, disruption tolerant networks, network pricing, and dynamic spectrum trading.

Lahiri , Parthasarathi Professor
Joint Program in Survey Methodology

Larsson, Johan Associate Professor
Mechanical Engineering

Lathrop, Dan Professor
Physics

Lee, Mei-Ling Ting Professor
Epidemiology & Biostatistics

Email:
Webpage: http://sph.umd.edu/epib/faculty/mltlee/
Research: Analysis of genomic data; analysis of time-to-event data; rank tests for clustered data; statistical applications in environmental and occupational health studies, epidemiology studies, microbiology and pharmaco epidemiology; applied probability models; multivariate distributions

Lee, Sung W. Professor
Aerospace Engineering

Lekic, Ved Assistant Professor
Geology

Email:
Webpage: http://www.geol.umd.edu/facilities/seismology/
Research: I seek to understand the state, dynamics, and dominant processes of the solid Earth, as well as other planets and satellites. Accurate seismic imaging -- with reliably quantified uncertainties -- is often a crucial first step toward this goal. Therefore, my research focuses on analysis of large datasets (primarily of seismic wave recordings) and the application of inverse methods that enable optimal extraction of information and quantification of uncertainty. You can find out more about my research and that of my students and postdocs here: https://www.geol.umd.edu/facilities/seismology/

Lele, Shreevardhan Lecturer
Decision, Operations & Information Technologies

Levermore, Charles D. Distinguished Scholar-Teacher
Mathematics

Email:
Webpage: http://www2.math.umd.edu/~lvrmr/
Research: 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

Levy, DoronDistinguished Scholar-Teacher
Mathematics

Email:
Webpage: http://www2.math.umd.edu/~dlevy/
Research: Mathematical Biology and Medicine, Cancer Dynamics, Immunology, Disease Modeling, Imaging, Nonlinear Dynamics.

Li, YanProfessor
Joint Program in Survey Methodology

Email:
Webpage: https://jointprogram.umd.edu/content/yan-li
Research: Dr. Yan Li is an Professor in the Joint Program in Survey Methodology (JPSM) and in the Department of Epidemiology and Biostatistics at the University of Maryland, College Park. A primary research goal of Dr. Li is to combine her background in computer sciences, genetics, statistics and survey methodology with her research experience in Cancer Epidemiology and Genetics to develop statistical methods for efficiently designing and analyzing complex samples in social and biomedical settings. Particularly she is interested in the area of nonprobability sample analysis, health disparity, mediation analysis, statistical genetics, involving drawing statistical inferences using case-control, cohort and cross-sectional studies and surveys with complex survey designs.

Liu, K.J. Ray Professor
Electrical & Computer Engineering

Email:
Webpage: http://www.cspl.umd.edu/kjrliu/
Research: 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.

Losert, Wolfgang Professor & Associate Dean
Physics

Lovell, David Professor
Civil & Environmental Engineering

Lyubchich, Viacheslav Assistant Research Professor
Center for Environmental Science

Lyzinski, Vince Assistant Professor
Mathematics

Email:
Webpage: http://www.math.umd.edu/~vlyzinsk/
Research: Random graph inference, statistical machine learning, graph matching algorithms, Markov chains, probability, combinatorics

Madan, Dilip B. Professor Emeritus
Finance

Email:
Webpage: http://www.rhsmith.umd.edu/faculty/dmadan/
Research: 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

Makowski, Armand M. Professor
Electrical & Computer Engineering

Email:
Webpage: http://www.isr.umd.edu/People/faculty/Makowski.html
Research: Traffic characterization and modeling in communication networks, Resource allocation issues in wireless networks, Queueing systems and asymptotic methods for performance evaluation in communication networks, Stochastic systems and adpative algorithms

Marcus, Steven I. Professor
Electrical & Computer Engineering

Email:
Webpage: http://www.isr.umd.edu/~marcus/
Research: 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.

Margetis, Dionisios Professor
Mathematics

Email:
Webpage: http://www2.math.umd.edu/~diom/
Research: Prof. Margetis' research interests lie broadly in the mathematical modeling and applied analysis for materials and physical phenomena across several scales.Recently, he has placed particular emphasis on the following topics: (i) The coupling of Maxwell's equations (electromagnetism) with kinetic descriptions (e.g., hydrodynamic equations and Boltzmann-like equations) for electrons in two-dimensional materials such as graphene. A goal is to mathematically model and analyze the viscous hydrodynamic behavior of electrons in these systems; as well as possible transitions from this regime to the ohmic and ballistic regimes. (ii) The modeling, analysis and simulation of the evolution of surfaces and interfaces in solid structures. Of particular interest are the derivation and analysis of macroscopic PDEs from atomistic or discrete mechanical systems (e.g., moving atomic defects), and germane issues of boundary conditions or variational approaches. (iii) The quantum dynamics of ultra cold, dilute atomic gases under the influence of external potentials, in relation to the "Bose-Einstein condensation" phenomenon. A goal is to understand mathematical aspects of the excitation energy spectrum in these atomic systems by use of nonlocal PDEs.

Mayergoyz, Isaak Professor
Electrical & Computer Engineering

Mellet, Antoine Professor
Mathematics

Email:
Webpage: http://www2.math.umd.edu/~mellet/

Miller, Carl A.Adjunct Associate Professor
Institute for Advanced Computer Studies

Miyoshi, Takemasa Assistant Professor
Atmospheric & Oceanic Science

Montesi, Laurent G.J. Associate Professor
Geology

Email:
Webpage: http://www.geology.umd.edu/~montesi/index.shtml
Research: Our research group studies how the Earth and other planets are deforming and evolving over geological time scales. This research involves the development of Finite Element models of mantle flow, fault development and melt migration, with a fundamentally multidisciplinary approach. For example, we couple rheological evolution and deformation to produce localized shear zone, or couple thermodynamic and thermal models. Numerical challenge include multiphysics and multiscale processes, large deformation, adaptive mesh refinement, and the adoption of a Bayesian statistics framework for assimilation of many types of observations into our models.

Mount, David M. Professor
Computer Science

Email:
Webpage: http://www.cs.umd.edu/~mount/
Research: 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.

Narayan, Prakash Professor
Electrical & Computer Engineering

Neustadtl , Alan Associate Professor
Sociology

Newcomb, Robert W. Professor
Electrical & Computer Engineering

Nochetto, Ricardo H. Professor
Mathematics

Email:
Webpage: http://www2.math.umd.edu/~rhn/
Research: PDE and Nonlinear Analysis: geometric partial differential equations, free boundary problems, fractional diffusion; Numerical Analysis: variational methods for linear and nonlinear partial differential equations, adaptivity, nonlinear approximation

Oard, Douglas William Professor
College of Information Studies

Oruc, Yavuz A. Professor
Electrical and Computer Engineering

Ott, Edward Distinguished University Professor
Physics

Paley, Derek Willis H. Young Jr. Professor of Aerospace Engineering Education
Aerospace Engineering and the Institute for Systems Research

Pecht, Michael Professor
Mechanical Engineering

Email:
Webpage: http://www.calce.umd.edu/
Research: Professor Michael Pecht’s research focuses on the use of AI methods for prognostics and systems health management (PHM). PHM is an approach that is used to evaluate the health / reliability of a system in its actual life-cycle conditions, determine the initiation of failure, and mitigate system risks. Prognostics of a system can yield an advance warning of impending failure in a system and thereby help in maintenance and corrective actions. The outputs of a prognostic assessment of a product are the failure risk, time to failure, remaining useful life, and a prognostic distance within which time specific maintenance and repair actions can be taken to extend the life of the product. The U.S. Joint Strike Fighter (JSF) Program requires PHM. NASA uses the Integrated Vehicle Health Management (IVHM) program for its fleet. Consumer electronics companies, including computer companies such as Dell, are investing a lot of money in prognostics research so that they can harness the benefits of PHM for reducing warranty costs and cutting product qualification time. Google, Microsoft, Amazon and others are using these techniques to ensure reliable and safe operation of there products. The data-driven and fusion approaches stand among the three main approaches to implementing prognostics for a system (along with model-based). The data-driven prognostics methods use current and historical data to statistically and probabilistically derive decisions, estimates, and predictions about the health and reliability of products. Data-driven approaches are useful to monitor the health of large multivariate systems and are capable of intelligently detecting and assessing correlated trends in the system dynamics to estimate the current and future health of the system. Areas of interest for data-driven approaches include anomaly detection, fault identification, fault isolation and prediction of remaining useful life (prognostics). Machine learning is highly used in the data-driven approach since it incorporates statistical and probability theory in addition to data preprocessing, dimensionality reduction by compression and transformations, feature extraction, and cleaning (de-noising) of data. Fusion methods for prognostics offer the benefits of model-based and data-driven methods.

Penny, Stephen G. Assistant Research Professor
Atmospheric & Oceanic Science

Pop, Mihai Associate Professor
Computer Science

Prucha, Ingmar R. Distinguished University Professor
Economics

Email:
Webpage: http://econweb.umd.edu/~prucha/
Research: Dr. Prucha's research interests are in theoretical and Applied Econometrics. A focus of his current research is on the econometric analysis of spatial and social networks. His applied work focuses on the determinants of dynamic factor demand (including investment in physical and R&D capital) and productivity.

Raghavan, Subramanian Professor
Decision, Operations & Information Technologies

Email:
Webpage: http://terpconnect.umd.edu/~raghavan/
Research: 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

Reggia, James A. Professor
Computer Science

Email:
Webpage: http://www.cs.umd.edu/~reggia/
Research: 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.

Reynolds, Chris Professor
Astronomy

Riaz, Amir Associate Professor
Mechanical Engineering

Robinson, MichaelAssociate Professor
Mathematics & Statistics

Email:
Webpage: http://www.drmichaelrobinson.net/
Research: I am interested in signal processing, dynamics, and applications of topology. My current projects involve topological approaches to tracking, communication network analysis, sonar target recognition, software analysis, and data fusion.

Rosenberg, Jonathan M. Professor
Mathematics

Email:
Webpage: http://www2.math.umd.edu/~jmr/
Research: 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.

Ryzhov, Ilya Associate Professor
Decision, Operations & Information Technologies

Sanner, Robert Associate Professor
Aerospace Engineering

Shamma, Shihab Professor
Electrical & Computer Engineering

Shapiro, Benjamin Professor
Aerospace Engineering

Shroff, HariAdjunct Assistant Professor
Physics

Email:
Webpage: https://www.nibib.nih.gov/about-nibib/staff/hari-shroff
Research: Development of new imaging tools to study fast 3D cellular processes at high resolution; super-resolution microscopy; neurodevelopment; light sheet fluorescence microscopy; two photon microscopy; minimally invasive microscopy; inverse imaging problems; deep learning

Slud, Eric V. Professor
Mathematics

Email:
Webpage: http://www2.math.umd.edu/~slud/
Research: Survival data analysis, Census statistics, large-scale data problems with emphasis on cross-classified data, Stochastic processes.
Keywords: Mathematical statistics and probability

Smith, Paul J. Associate Professor
Mathematics

Email:
Webpage: http://www2.math.umd.edu/~pjs/
Research: Categorical data analysis. Robust and nonparametric statistical methods. Applications of statistics, particularly in the biomedical sciences

Song, Jiuzhou Associate Professor
Animal & Avian Sciences

Email:
Webpage: http://ansc.umd.edu/Labs/Song/
Research: 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

Srinivasan, Aravind Professor
Computer Science

Email:
Webpage: http://www.cs.umd.edu/~srin/
Research: Prof. Srinivasan's research interests are in randomized algorithms, networking, social networks, and combinatorial optimization, as well as in the growing confluence of algorithms, networks, and randomness, in fields including the social web, machine learning, public health, biology, and energy.

Swistak, Piotr T. Associate Professor
Government and Politics

Tadmor, Eitan Distinguished University Professor
Center for Scientific Computation and Math Modeling

Email:
Webpage: http://www.cscamm.umd.edu/people/faculty/tadmor/
Research: Research is concerned with theory and computation of Partial Differential Equations with diverse applications to shock waves, kinetic transport, incompressible flows, image processing, and self-organized collective dynamics. In particular, research is focused on the development of high-resolution methods for nonlinear conservation laws, including those associated with the notions of central schemes, entropy stability, spectral viscosity methods, constraint transport and edge detection; on transport models and their relation to kinetic theories, and on critical thresholds phenomena in such models; on multi-scale descriptions in image processing associated with the notion of hierarchical decompositions; and on modeling and analysis of collective (hydro-)dynamics with applications to flocking and opinion dynamics.

Tits, Andre L. Professor
Electrical & Computer Engineering

Email:
Webpage: http://www.ece.umd.edu/~andre/
Research: 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.

Tiwary, Pratyush Assistant Professor
Chemistry and Biochemistry & Institute for Physical Science and Technology

Email:
Webpage: https://sites.google.com/site/pratyushtiwary/
Research: We are interested in modeling rare events in biology and materials science while maintaining femtosecond time resolution and all-atom or even all-electron spatial resolution. These include problems such as drug unbinding, protein folding and crystallization which can easily takes minutes, days or longer in real time. To simulate such processes, we develop the next generation of computational chemistry tools, grounded in statistical mechanics and artificial intelligence, and made available to the broad scientific community in an open-source manner.

Trivisa, Konstantina Professor
Mathematics

Email:
Webpage: http://www2.math.umd.edu/~trivisa/
Research: Trivisa’s research lies on the interface between nonlinear partial differential equations and continuum physics and focuses on applications in fluid dynamics, multiphase flows, continuum mechanics, materials science and math biology. Her research is an interplay of mathematical modeling, analysis and simulations for the investigation of nonlinear systems governing physical models.

Valliant, Richard Research Professor
Joint Program in Survey Methodology

Vishkin, Uzi Professor
Electrical & Computer Engineering

Email:
Webpage: http://www.umiacs.umd.edu/~vishkin/index.shtml
Research: Parallelism in computing: Parallel algorithmics; Synergy of algoithms, progamming and architecture for an easy-to-program general purpose parallel computer platform; Machine learning as well as other potential "killer applications" for parallel computing. Design and analysis of algorithms. Pattern matching. Theory of computing.

Von Petersdorff, Tobias Associate Professor
Mathematics

Email:
Webpage: http://www2.math.umd.edu/~petersd/
Research: 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

Wallace, StephenProfessor Emeritus
Physics

Washington, Lawrence C. Distinguished Scholar-Teacher
Mathematics

Email:
Webpage: http://www2.math.umd.edu/~lcw/
Research: Number theory, cyclotomic fields, elliptic curves, cryptology

Wedel, Michel Distinguished University Professor
Marketing

Wenegrat, Jacob Assistant Professor
Atmospheric and Oceanic Science

Wu, XiaodiAssistant Professor
Computer Science

Yorke, James A. Distinguished University Research Professor
Mathematics

Email:
Webpage: http://www.chaos.umd.edu/~yorke/
Research: chaos theory and genome research and the population dynamics of the HIV/AIDS epidemic

Zachariah, Michael R. Professor
Mechanical Engineering

Email:
Webpage: http://www.enme.umd.edu/facstaff/fac-profiles/zachariah.html
Research: 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.

Zhang, Da-Lin Professor
Meteorology

Email:
Webpage: http://www.atmos.umd.edu/~dalin/
Research: 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

Zhang, KunpengAssistant Professor
Decision, Operations & Information Technologies

Zhu, Wenlu Professor
Geology

Zimin, Aleksey Research Associate Professor
Institute for Physical Science & Technology

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