Dominic White
Assistant Term Professor
Research Expertise:
- Computational Biology
- Paleontology
Email:
Primary Website: http://www.dominicwhite.net
Ron Mahabir
Assistant Term Professor
Research Expertise:
- Earth Data and image analysis
- Machine learning/data mining
- Time series analysis
- Text mining
- Open data
Email: rmahabir@gmu.edu
Primary Website: http://www.digitalgeo.org/
Hamdi Kavak
Assistant Professor
Research Expertise:
- Data-driven techniques
- Modeling and simulation
- Cybersecurity
- Urban Systems
Email: hkavak@gmu.edu
Primary Website: http://www.hamdikavak.com
Olga Gkountouna
Assistant Professor
Primary research:
- Data privacy
- Urban mobility networks
- Spatio-temporal data mining
- Linked data, graph data, semi-structured data
- Time series analysis
Email: ogkounto@gmu.edu
Primary Website: http://www.dblab.ece.ntua.gr/~olga/index.html
Stephanie Booth is an M.S. student in the Department of Computational and Data Sciences at George Mason University. She also works at The Tauri Group, where she performs quantitative analysis, creates data visualizations, and implements data management solutions for the space and defense industrial base.
She received her B.S. from the University of Nebraska-Lincoln.
Andrew Rigg is a part-time computational sciences and informatics PhD student interested in computational modeling of interdisciplinary physical and social processes and discovering a framework that establishes “pure computational mathematics” as its own discipline distinct from applied mathematics. He is rapidly developing an appreciation for computational material science because of its great potential for teaching physics and as a model that is transferable to other intellectual disciplines. He works as an analyst for American Systems Corporation.
Suchismita Goswami is a PhD student in Computational and Data Science (CDS). Her research interests include data mining, statistical inference, statistical graphics, time series analysis, Bayesian statistics, survival analysis and social networks.
Suchismita received a Bachelor of Science in mathematics (Hons.) from the University of Calcutta and earned a Master of Science in Applied Math and Statistics (Operation research) from the State University of New York, Stony Brook. In addition, she received her MS degree in Statistical Science from GMU with GPA 3.90. Currently, she is working on social networks using statistical modeling.
She recently presented her work on data mining in a conference and published her findings in peer reviewed scientific journal. Her publication and presentation are given below.
Publication:
S. Goswami and E. Wegman, “Comparison of different classification methods on glass identification for forensic research,” Journal of Statistical Science and Application, April 2016, Vol. 4, No. 03-04, 65-84, doi: 10.17265/2328-224X/2015.0304.001
Click here to read my publication
Presentation:
“Comparison of different classification methods on glass identification for forensic research”, 45th SYMPOSIUM ON THE INTERFACE: Computing Science and Statistics, Morgantown, WV, June 10–13, 2015
Thomas W. Jones is a Ph.D. student in the Department of Computational Social Science at George Mason University. He studies part time. He is the full-time Director of Data Science at Impact Research. His main research interest is in developing statistical theory and rigor around text mining models and methods. He holds an MS in Mathematics and Statistics from Georgetown University and a BA in Economics from the College of William and Mary.
Publications:
I have a full list of publications, presentations, working papers, etc. on my blog
Two pieces that I would wish to especially highlight are below:
Clarence Dillon is a Computational Social Science Ph.D. candidate in the Department of Computational and Data Sciences at George Mason University. He is researching world political structure using multi-level models in a distributed computing environment. His research blog is at [http://studycomplexity.org Study Complexity] .
Clarence’s [https://www.linkedin.com/in/cwdillon professional background] includes data management and analytic support to studies of U.S. defense strategy in the Office of the Secretary of Defense as well as arms control and disarmament policy, operations, implementation and compliance for the Office of the Secretary of the Army, the Army Staff and the Air Force Staff.
He holds a Masters of Social Science in International Relations from the International School of Social Sciences at the [http://www.uta.fi/yky/en/index.html University of Tampere, Finland] and a Bachelor of Arts in International Affairs from the [http://www.colorado.edu/iafs/ University of Colorado at Boulder].
Doug Reitz is a part-time Computational Sciences and Informatics Ph.D. candidate at George Mason University concentrating in Computational Physics. When not studying, he works as a Real-Time Software Engineer at the Boeing Company, architecting, designing, developing, and integrating high fidelity simulation models for pilot training. His dissertation research area is ‘Atomistic Monte Carlo Simulation and Data Analysis of Binary Alloys’ where he is seeking to apply simulation, machine learning, topological features, and thermodynamic attributes in the exploration and analysis of binary alloy configuration space with the goal of improving discovery in this area. He earned his Bachelor of Science degree in Science at Penn State University, University Park, PA and his Master of Science degree in Computer Science at Binghamton University (SUNY), Binghamton, NY.
Find Doug at LinkedIn.
Publications:
Land, W. H., Jr., Wong, L., Masters, T., Mckee, D., Anderson, F., Lo, J., Reitz, D., ‘New Results In Computer Aided Diagnosis (CAD) of Breast Cancer Using a Recently Developed SVM/GRNN Oracle Hybrid’, Intelligent Engineering Systems Through Artificial Neural Networks (ANNIE 2004), pp 779-784, Vol. 14, ASME Press, New York, 2004
Galen M. Shipman, David A. Dillow, Douglas Fuller, Raghul Gunasekaran, Jason Hill, Youngjae Kim, Sarp Oral, Doug Reitz, James Simmons, Feiyi Wang, ‘A Next-Generation Parallel File System Environment for the OLCF’, Proceedings of Cray User Group Conference (CUG), Stuttgart, Germany, April 29-May 3, 2012
