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.
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
“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.
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].
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
Email address: email@example.com
Francis N. Opoku is currently a doctoral student in the Computational Science and Informatics Program at George Mason University, Fairfax, Virginia. He was born in Kumasi, Ghana and has lived and worked on three continents (Africa, Europe, and North America). He earned his Bachelor’s degree in Mathematics from Kwame Nkrumah University of Science and Technology (KNUST), Ghana and Master’s degree in Mathematics from George Mason University.
Francis is an Educator, Scientist and Technologist. His interest in Mathematics came at an early age, ex-celling in Mental Math. He also has an aptitude for computer-based work, which led him to establish Information Technology and Business Analytics ﬁrm right after his bachelor’s degree in Ghana. His tech-nology skills was used in helping to provide state of the art internet cafes and reliable wireless internet hotspots using nonproprietary software and devices in and around KNUST at a time when such services were lacking. Francis has also worked in public education as a middle school Math teacher and college professor. Outside of academics, Francis has been involved in humanitarian services by assisting the needy in his native country of Ghana over the past several years.
His research interest is in data exploration and information visualization. He has undertaken several re-search projects related to the continent of Africa as part of his PhD program such as visualizing presidential election results of Ghana with R Package Micromap, creating dashboard for United Nations Millennium Development goals and is currently working on an R package for Africa.
Primary Research: Spatiotemporal pattern formation in two-dimensional systems
Office: 118 Krasnow Institute Phone: 703-993-5084
Current Research Interests
His research focused on spatiotemporal pattern formation in two-dimensional systems. In particular, he investigated the effects of spatial heterogeneity on the formation and dynamics of spiral and target waves. It was here that Matthew was first introduced to the ideas of complexity and agent-based models.
Dr. Matthew Hendrey obtained his BS in physics from Georgia Tech. He continued his study of physics at the University of Maryland, College Park where he was a member of the Chaos & Nonlinear Dynamics research group. His research focused on spatiotemporal pattern formation in two-dimensional systems. In particular, he investigated the effects of spatial heterogeneity on the formation and dynamics of spiral and target waves. It was here that Matthew was first introduced to the ideas of complexity and agent-based models.
Upon graduation, Matthew worked at BiosGroup, Inc. where he developed agent-based models in a commercial setting. He developed a consumer behavior model for the IRS using demographic and survey data. The model explored the best marketing strategies that would increase the adoption of electronic filing of tax returns. He worked on a global financial markets model to study financial instability. Additional work included studying punctuated equilibrium in an iterated prisoner’s dilemma game and distributed control of shipboard power.
After a short foray into the world of short-term, automated stock trading, Matthew did data mining work at SRA International, Inc. He worked with IRS data to improve the audit selection process. He implemented a Random Forest model to investigate the variable importance in the severity of a disease using NIH clinical research trial data. He also analyzed Iraq battlefield data for patterns of activity.
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