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.
Email: Webpage: http://www.azarm.umd.edu/ Research: 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.
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 taking advantage of nonlinear phenomena for the benefit of a system.
Ball, Michael Professor Institute for Systems Research
Email: Webpage: http://www.rhsmith.umd.edu/faculty/mball/ Research: Dr. Ball's research interests are in network optimization and integer programming particularly as applied to problems in transportation systems and supply chain management.
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.
Barnes, SeanAssistant Professor Decision, Operations & Information Technologies
Email: Webpage: http://www.rhsmith.umd.edu/directory/sean-barnes Research: Dr. Barnes' research interests are modeling the transmission of infectious diseases, healthcare and sports analytics, agent-based modeling, simulation, data visualization, and machine learning.
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.
Bentley, WilliamDistinguished 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 Mechanical Engineering
Email: Webpage: http://terpconnect.umd.edu/~bernard/ Research: Professor Bernard's primary research interests lies in gridfree methods for turbulent flow simulation, including heat and mass transfer and natural convection. Lagrangian analysis of turbulent transport.
Email: Webpage: http://neurotheory.umd.edu/ Research: Systems and computational neuroscience; visual and auditory processing; application of statistical and machine learning approaches to interpret neurophysiological data with a focus on large-scale recordings.
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.
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.
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
Email: Webpage: http://cs.umd.edu/~amchilds Research: Theory of quantum information processing, especially quantum algorithms. Particular topics of interest include quantum walk, quantum simulation, quantum algorithms for algebraic problems, and quantum query complexity
Corrada Bravo, Héctor Associate Professor Computer Science
Email: Webpage: http://www.hcbravo.org Research: Our research focuses on efficient and effective interactive analysis of high-throughput genomic data. We develop new methods and tools from multiple areas in the computational and statistical sciences: basic bioinformatics/biostatistics, statistical and machine learning, data visualization and management, and numerical optimization. Applications include cancer epigenetics, metagenomics, pre-processing of measurements from high-throughput assays and disease risk models that integrate high-throughput genomic and other data.
Email: Webpage: http://www.cramton.umd.edu/ Research: Dr. Cramton conducts research on auctioning many related items, and applies that research world-wide to major auctions of radio spectrum, electricity, financial securities, rough diamonds, pollution emissions, timber, and other products. Keywords: Market design, auctions, game theory.
Deane, AnilResearch 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).
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.
Email: Webpage: http://hydro.umd.edu/index.htm Research: Experimental research in water surface waves including wave breaking, wave impact on structures, droplet and bubble generation, and solitary gravity capillary waves.
Email: Webpage: http://www.cs.umd.edu/~elman/ Research: My research concerns various topics in Numerical Analysis, including numerical linear algebra, computational methods for partial differential equations, computational fluid dynamics, uncertainty quantification, and parallel computation.
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.
Email: Webpage: https://www.geol.umd.edu/directory.php?id=12 Research: High resolution multiproxy paleoclimatology of the late Holocene, with special emphasis on tropical processes, hydrometeorological variations, and global climate change
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).
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.
Gabriel, Steven A. Professor Mechanical Engineering
Email: Webpage: http://www.stevenagabriel.umd.edu/ Research: Modeling of critical infrastructure using optimization, equilibrium/game theory, and statistical methods, Algorithm development for solving optimization and equilibrium/game theory models
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.
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.
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.
Gumerov, Nail A.Senior Research Scientist Institute for Advanced Computer Studies
Email: Webpage: http://www.umiacs.umd.edu/~gumerov/ Research: Fast boundary element method for the Laplace and Helmholtz equations in three dimensions, Computation of acoustic scattering from N spheres using multipole reexpansion method
Email: Webpage: http://www2.physics.umd.edu/~hadley/ Research: 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.
Hahn, Jin-OhAssistant Professor Mechanical Engineering
Email: Webpage: http://www.enme.umd.edu/faculty/hahn Research: System dynamics and control, system identification, condition monitoring and fault diagnostics, multi-sensor fusion and signal processing, bio-systems and healthcare, automotive control systems, energy systems
He, XinAssociate Professor Epidemiology and Biostatistics
Email: Webpage: https://www.sph.umd.edu/people/xin-he Research: longitudinal data analysis, time-to-event data analysis, nonparametric and semiparametric methods, as well as applications in epidemiology, environmental health, and biomedical studies
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.
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, KayoAssociate 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.
Jabin, Pierre-EmmanuelProfessor Center for Scientific Computation and Math Modeling
Email: Webpage: http://www2.cscamm.umd.edu/~jabin/ Research: Advection-Transport equations with applications to compressible Fluid Mechanics, Multi-agent and many particles systems. Mathematical Modeling in Biology and Ecology, Kinetic and Hyperbolic problems.
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.
Kishek, Rami AlfredResearch 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.
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
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
Email: Webpage: http://www.rhsmith.umd.edu/faculty/slele/lele.html Research: 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.
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
Li, YanAssociate Professor Joint Program in Survey Methodology
Email: Webpage: https://jointprogram.umd.edu/content/yan-li Research: Dr. Yan Li is an Associate 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 bio-medical settings. Particularly she is interested in the area of health disparity, mediation analysis, statistical genetics, involving drawing statistical inferences using case-control, cohort and cross-sectional studies and surveys with complex survey designs.
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.
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.
Email: Webpage: http://www2.math.umd.edu/~diom/ Research: Prof. Margetis's research interests lie broadly in mathematical modeling and applied analysis. In recent years, he has placed particular emphasis on: (i) modeling, analysis and simulation of solid materials across scales, especially derivation of macroscopic PDEs from discrete systems and germane issues of boundary conditions (ii) quantum kinetic theory of ultra cold, dilute gases (``Bose-Einstein condensation'') (iii) PDE aspects of quantum information.
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.
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.
Newcomb, Robert W. Professor Electrical & Computer Engineering
Email: Webpage: http://www.ece.umd.edu/~newcomb/ Research: 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
Email: Webpage: http://www2.math.umd.edu/~okoudjou/ Research: Harmonic analysis especially time-frequency and time-scale methods and their applications to signal analysis; Analysis and differential equations on fractals.
Email: Webpage: http://www.calce.umd.edu/ Research: Professor Michael Pecht’s research focuses on prognostics and systems health management (PHM) using machine learning. PHM is an approach that is used to evaluate the 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. 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.
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
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.
Email: Webpage: http://www.astro.umd.edu/~chris/ Research: astrophysics of black holes (both stellar and supermassive), the physics of relativistic jets, and the properties and evolution of intracluster and intergalactic plasma
Riaz, AmirAssociate Professor Mechanical Engineering
Email: Webpage: http://www.enme.umd.edu/faculty/Riaz Research: DNS of multiphase flows. Bubble Dynamics. Perturbation methods. Stability and Transition. Porous Media flows. Boiling and Evaporative Heat Transfer.
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
Email: Webpage: http://www.controlofmems.umd.edu/ Research: 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.
Email: Research: Population-level changes in gene frequencies, genetic resemblance between individuals, selection theory, advanced statistical methods for prediction of breeding values, incorporation of novel techniques into breeding programs
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
Song, JiuzhouAssociate 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
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.
Tadmor, EitanDistinguished 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.
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.
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
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.
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
Email: Webpage: https://www.geol.umd.edu/~wzhu/ Research: Experimental rock deformation; Dynamic microtomography; Digital rock physics; Transport properities of partially molten rocks; Serpentinization and Carbonization of ultramafic rocks; fluid induced seismicity; Mechanics of slow slip events