Computer Science and Engineering
- Neural networks: self-organizing maps, pulsed neural networks.
- Influence of feature co-occurrence statistics (from natural images) in cortical structure and functional performance.
Institute of Renewable Natural Resources
I am a faculty member in the School of Renewable Natural Resources at Louisiana State University. My work is focused on wildlife population ecology where my interests primarily lie in population dynamics and harvest management, focused on sampling design and parameter estimation of mammal and bird populations, capture-mark-recapture modeling, spatial modeling, and associated statistical and computational ecology questions.
I received a Ph.D. in biostatistics from the Univ. of Washington in 2006. I also joined the A&M statistics department in 2006 and have been here since. My expertise is in the analysis and interpretation of “Big Data,” particularly the kind that originates from biological applications. For details on my research publications, see my Google Scholar profile. I have co-authored (with Grady Klein) The Cartoon Introduction to Statistics, which will be published by Hill and Wang in summer 2013. I am also featured in W.H. Freeman’s Stat-Clips videos.
Associate Dept. Head-Faculty Admin
L.F. Peterson ’36 Chair
Harold Vance Department of Petroleum Engineering
Dr. Datta-Gupta has industrial experience in reservoir characterization/management, field development strategies and modeling, scale-up and design of enhanced oil recovery processes. He also worked on fractured reservoir characterization and environmental issues related to nuclear waste disposal, carbon sequestration and remediation of chlorinated hydrocarbons.
Molecular and Cellular Medicine Genetics
My laboratory in interested in understanding the molecular, genetic and epigenetic mechanisms underlying phenotypic variation and disease. We use multifaceted genetic, molecular and cell biological tools as well as genetically engineered model organisms and domestic animal models to understand the interplay between genetics, epigenetics and gene regulation.
Mike and Sugar Barnes Professor
Professor of Electrical and Computer Engineering
Director of Graduate Programs
Industrial & System Engineering
Methodology Development, Wind Energy Systems, Nano Imaging & Nano Manufacturing, Sensor Networks
Department of Wildlife and Fisheries Sciences
Phone: 979 845 9841
My research interest is in quantitative population ecology, with a particular emphasis on understanding the dynamics of fish and wildlife populations. My studies focus on individual and population level processes because I believe a deeper knowledge of these processes will lead to a deeper understanding of how the environment affects ecological processes.
Geology & Geophysics
Richard L. Gibson, Jr. received his B.S. (1985, geology) from Baylor University and a Ph.D. (1991, geophysics) from Massachusetts Institute of Technology. He had a post-doctoral appointment at the Laboratoire de Géophysique Interne et Tectonophysique (Université Joseph Fourier, Grenoble, France) and at MIT, where he became a Research Scientist. Since 1997, he has been on the faculty of Texas A&M University, where he is currently an Associate Professor of Geophysics. His research interests include theoretical and computational seismology, reservoir characterization, anisotropy and imaging.
Phone: (203) 432-6428
Vascular Mechanics and Mechanobiology: developing computational models for understanding vascular disease progression and designing clinical interventions; using genetic, pharmacologic, and surgical models for elucidating mechanisms that underlie diverse vascular conditions; and using tissue engineered constructs to test hypotheses of mechanosensing and mechanoregulation of extracellular matrix.
Clinical Associate Professor
Veterinary Physiology and Pharmacology
College of Veterinary Medicine and Biomedical Sciences
Phone: (979) 739-4328
Computational predictive modeling of complex systems, e.g. gene regulatory networks, for the purposes of intervention and control. Omics-data processing and integration. Genomic Signal Processing.
Assistant Department Head-Staff Administration
LeSuer Chair in Reservoir Management
Dr. King joined the faculty at Texas A&M in the fall of 2009. Previously, he worked for BP America and the BP Amoco E&P Upstream Technology Group. He is the current SPE Student Chapter Faculty Advisor, a member of the Crisman Institute Steering Committee, and Co-Director of the MCERI (Model Calibration and Efficient Reservoir Imaging) consortium.
Department of Wildlife and Fisheries Sciences
My current research is focused on the assessment of conservation status in mammals and the analysis and monitoring of large-scale patterns and trends in biodiversity, primarily in the tropics. I was founding director of the Tropical Ecology, Assessment and Monitoring Network, based at Conservation International and currently under the direction of Dr. Sandy Andelman. This project is implementing standardized protocols for the monitoring of a variety of vegetation, climate and vertebrate indicators at field stations in the tropics.
Phone: (979) 845-1604
- Micromechanics of Active Materials and Smart Structures
- Phase transformations in Shape Memory Alloys (SMA)
- Thermoelectric heat transfer in SMA actuators
- SMA Elastomeric Composite Dampers
- Oxidation and Damage in Metal Matrix Composites
CoALS Chair in Hydrologic Engineering & Sciences
Biological and Agricultural Engineering
Dr. Mohanty’s research includes water, heat, and chemical transport measurement and modeling in variably-saturated porous media ranging from core-scale to regional-scale; measurement and modeling of hydraulic properties; and preferential water flow and chemical transport through macroporous media.
Forsyth Chair in Mechanical Engineering
Professor of Mathematics
Professor of Biomedical Engineering
Professor of Civil Engineering
Professor of Chemical Engineering
Senior Research Scientist, Texas Transportation Institute
Phone: 979-862-4552 Email: email@example.com
Continuum mechanics and its applications to Non-linear materials.
Professor, Aquatic Ecology
Wildlife and Fisheries Sciences
My research program encompasses field studies, laboratory experiments, and mathematical modeling simulations that address lower foodweb ecology in aquatic ecosystems. Emphasis is placed on interactions between foodweb components and the physicochemical environment. My research projects are focused in varied habitats, which include the Cinaruco River, Venezuela; Sea of Galilee, Israel; and several inland water bodies of Texas (Lakes Somerville, Waco, Whitney, Possum Kingdom, and Caddo; and Carter Creek); and coastal zone habitats of Texas (Galveston Bay, San Antonio Bay System, and Nueces/Corpus Christi Bay System).
Phone: 979.845.0175 Email: firstname.lastname@example.org
My research focuses on the mathematical and physical aspects of the climate system. Of primary interest to me are the physical mechanisms that are responsible for the climate of the Earth, in the present, in the past (paleoclimate), and in the future (climate change). This means addressing questions such as: How does the interaction between the atmosphere and the ocean affect climate? What is the global impact of El Ni�o? I am also interested in the statistical issues that arise in trying to quantify climate change. Can we simply blame the next big hurricane, or the next major drought on human activities? Or, should we carefully consider the statistical and physical aspects of natural climate variability before drawing such conclusions?
One of important goals of my research is to help improve predictions of climate. Surface boundary conditions play an important role in determining climate predictability. Foreknowledge of the sea surface temperature or the sea ice distribution can help predict the evolution of atmospheric flow on time scales of months to years. Currently my predictability research is focused on the tropical Atlantic sea surface temperatures and on long-term rainfall trends in the Sahel region of Africa. Listed below are some highlights of my recent research in this area.
- Was the prolonged drought in Sahel due to deforestation? We used a numerical model of the atmosphere and land system (created by NASA) to address this question. Observed sea surface temperatures during the 20th century were used as the boundary condition to carry out numerical integrations using the model. No changes were made to the land conditions. We found that the model could simulate the Sahel drought even without the deforestation effect, implying that the drought was most likely caused by changes in the oceanic conditions (Giannini, Saravanan, and Chang; Science, 2003; see figure below). Figure: Indices of Sahel rainfall variability. Observations used the average of stations between 10�N and 20�N, 20�W and 40�E. Model numbers were based on the ensemble-mean average of gridboxes between 10�N and 20�N, 20�W and 35�E. The correlation between observed and modeled indices of ( JAS) rainfall over 1930�2000 is 0.60. (Time series are standardized to allow for an immediate comparison, because variability in the ensemble mean is muted in comparison to the single observed realization. The ratio of observed to ensemble- mean standard deviations in the Sahel is 4.)
- What is the role of air-sea interaction in tropical Atlantic predictability? Although not as well-known as El Ni�o, the tropical Atlantic region is perhaps one of the regions of the world which has a rather predictable climate, at least on seasonal timescales. Some of this predictive skill arises simply from the influence of the adjoining Pacific El Ni�o phenomenon. The remainder of the predictive skill is believed to arise from air-sea interaction that is local to the tropical Atlantic. We have carried out several studies using a hierarchy of coupled and uncoupled numerical models which show that thermodynamic air-sea interaction may play an important role in persisting sea surface temperature anomalies and make them more predictable. (Figure)
Mollie B. and Richard A. Williford Professor
The ultimate recovery of world’s hydrocarbon reserves (conventional and unconventional) depends largely on our understanding of reservoir heterogeneity and the physics of in-situ reservoir fluid flow. As in the past when geologists played the leading role in petroleum discovery and exploration, future geoscientists will again help to provide the fundamental scientific framework for reservoir management to maximize petroleum production.
Istvan Szunyogh is a Professor in the Department of Atmospheric Sciences. He received his Diploma in Meteorology from the Eotvos Lorand University, Budapest, Hungary in 1991, and his Ph.D degree in Earth Sciences from the Hungarian Academy of Sciences in 1994. His current research areas include data assimilation for the terrestrial and planetary atmospheres and the ocean; atmospheric dynamical processes and predictability; and numerical weather prediction.
Computer Science and Engineering
Phone: (979) 845-7977 Email: email@example.com
Tiffani L. Williams is an Assistant Professor in the Department of Computer Science at Texas A&M University. During the 2004-2005 academic year, she was the Edward, Frances, and Shirley B. Daniels Fellow at the Radcliffe Institute of Advanced Study at Harvard University. She earned her B.S. in computer science from Marquette University and Ph.D. in computer science from the University of Central Florida. Afterward, she was a postdoctoral fellow at the University of New Mexico. Her honors include a Radcliffe Institute Fellowship, an Alfred P. Sloan Foundation Postdoctoral Fellowship, and a McKnight Doctoral Fellowship. Her research interests are in the areas of bioinformatics and high- performance computing.
Electrical And Computer Engineering
Le Xie is an Assistant Professor in the Department of Electrical and Computer Engineering at Texas A&M University, where he is affiliated with the Electric Power and Power Electronics Group. He received his B.E. in Electrical Engineering fromTsinghua University, Beijing, China in 2004. He received S.M. in Engineering Sciences from Harvard University in June 2005. He obtained his Ph.D. from Electric Energy Systems Group (EESG)in the Department of Electrical and Computer Engineering atCarnegie Mellon University in 2009. His industry experience includes an internship in 2006 at ISO-New England and an internship at Edison Mission Energy Marketing and Trading in 2007. His research interest includes:
- Modeling, estimation and control of electric power systems
- Theory and application of cyber-physical systems
- Look-ahead dispatch in support of renewable energy integration
- Design and optimization of electricity markets
- Engineering, economics, and public policy for renewable energy integration