RESEARCH

Areas of Interest:
Data Science
Artificial Intelligence
Context-Aware/Intelligent Systems
Federal Data Analytics

Latest Book Published (contact me for an e-copy):
Federal Data Science.
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Ph.D. Dissertation (contact me for a copy):
Incremental Lifecycle Validation of Knowledge-Based Systems through CommonKADS


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Refereed Journal Articles:

Batarseh, F., Yang, R., and Deng, L., "A Comprehensive Model for Management and Validation of Federal Big Data Analytical Systems", Published at Springer's Journal of Big Data Analytics, Jan 2017.

Batarseh, F., and Abdul-Latif, E., "Assessing the Quality of Service Using Big Data Analytics - with Application to Healthcare", Published at Elsevier's Journal of Big Data Research, Nov 2015.

Batarseh, F., and Gonzalez, A. J., "Predicting Failures in Agile Software Development through Data Analytics", Published at Springer's Transactions: The Software Quality Journal, Aug 2015.

Batarseh, F., and Gonzalez, A. J., "Validation of Knowledge-Based Systems- A Reassessment of the Field", Published at Springer's Artificial Intelligence Review, Feb 2013.

Batarseh, F., and Gonzalez, A. J., "Incremental Lifecycle Validation of Knowledge-Based Systems through CommonKADS", Published at the IEEE Transactions on Systems, Man and Cybernetics (TSMC-A), Sep 2012.

Amarin, R., Batarseh, F., and Batarseh, I. "Adaptive Electronic Quizzing Method for Introductory Electrical Circuit Course-Extended Version", Published at the International Journal of Online Engineering (iJOE), Vol. 5, No 3- 2009.

Batarseh, F., Mohod, R., Kumar, A., and Bui, J., "The Application of Artificial Intelligence in Software Engineering – A Review Challenging Conventional Wisdom", Submitted to Springer’s Artificial Intelligence Review, Sep 2017.

Batarseh, F., Gendron, J., Laufer, R., Madhavaram, M., and Kumar, A., "A Context-Driven Data Visualization Engine for Improved Citizen Service and Government Performance Evaluation", Submitted to Elsevier's Journal of Big Data Research, Nov 2017.

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Peer Reviewed Books and Chapters:

[Book] Batarseh, F., and Yang, R., (Editors), "Federal Data Science: Transforming Government and Agricultural Policy using Artificial Intelligence", Published by Elsevier's Academic Press, ISBN: 9780128124437, Oct 2017.

[Encyclopedia] Batarseh, F., "Entries: Artificial Intelligence, Anomaly Detection, Middle East, Business Intelligence Analytics, and Contexts", Encyclopedia of Big Data, Main Editor: Laurie Schintler, Published at Springer Nature 2017.

[Chapter] Batarseh, F., "Chapter 1: A Day in the Life of a Federal Analyst and a Federal Contractor", Federal Data Science: Transforming Government and Agricultural Policy using Artificial Intelligence – Publisher: Elsevier's Academic Press, Nov 2017.

[Chapter] Batarseh, F., and Yang, R., "Chapter 4: Making the Case for Artificial Intelligence at the Government: Guidelines to Transforming Federal Software Systems", Federal Data Science: Transforming Government and Agricultural Policy using Artificial Intelligence – Publisher: Elsevier's Academic Press, Nov 2017.

[Chapter] Batarseh, F., and Yang, R., "Chapter 9: A Deployment Lifecycle for Agricultural Data Systems using Kansei Engineering and Association Rules", Federal Data Science: Transforming Government and Agricultural Policy using Artificial Intelligence – Publisher: Elsevier's Academic Press, Nov 2017.

[Chapter] Batarseh, F., Ramamoorthy, G., Dashora, M., and Yang, R., "Chapter 12: Intelligent Automation Tools and Software Engines for Managing Federal Agricultural Data", Federal Data Science: Transforming Government and Agricultural Policy using Artificial Intelligence – Publisher: Elsevier's Academic Press, Nov 2017.

[Chapter] Batarseh, F., "Context-Driven Testing", Book: "Context in Computing: A Cross-Disciplinary Approach for Modeling the Real World", Main Editor: Patrick Brezillon (UPMC - Paris VI), Publisher: Springer Verlag, ISBN: 9781493918867, Apr 2015.

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Peer Reviewed Conference Papers:

Batarseh, F., and Yang, R., "Intelligent Methods for Managing Geospatial Data at the US Federal Government", IEEE Proceedings of the Sixth International Conference on Agro-Geoinformatics, Fairfax, VA, Aug 2017.

Batarseh F., Pithadia, J., "Context-Aware User Interfaces for Intelligent Emergency Applications", Proceedings of the Tenth International and Interdisciplinary Conference on Modeling and Context (Springer's Lecture Notes in Artificial Intelligence), Paris, France, Jun 2017.

[Abstract paper] Gaikwad, A., Deshpande, S., and Batarseh, F., "Mapping Interactive Geo-visualizations of Natural Disasters for Federal Agencies", an abstract paper accepted at the Sixth International Conference on Agro-Geoinformatics, Fairfax, VA, Aug 2017.

Batarseh, F., Gonzalez, A. J., and Knauf, R., "Context-Assisted Test Cases Reduction for Cloud Validation", Proceedings of the Eighth International and Interdisciplinary Conference on Modeling and Context, Annecy, France, Oct 2013.

Batarseh, F., "An Educational Software Lifecycle Model Inspired by Human Physiology", Proceedings of the American Society of Engineering Education (ASEE) Annual Conference, Atlanta, GA, Jun 2013.

Batarseh, F., Gonzalez, A. J., and Knauf, R., "Validation of Knowledge-Based Systems through CommonKADS", Proceedings of the 55th Internationales Wissenschaftliches Kolloquium (IWK), Ilmenau, Germany, Sep 2010.

Batarseh, F., "JAVA Nano Patterns: A Set of Reusable Objects" Proceedings of the 48th ACM Southeast Conference, Oxford, MS, Apr 2010.

Ramirez Padron, R., Batarseh, F., Heyne, K., Wu, A.S., and Gonzalez, A. J., "On the Performance of Fitness Uniform Selection for Non-Deceptive Problems", Proceedings of the 48th ACM Southeast Conference, Oxford, MS, Apr 2010.

Batarseh, F., Batarseh, I., and Haralambous, M., "Quiz Me - An Interactive Learning Tool with Application to Electrical Circuits", Proceedings of the 8th ASEE Global Colloquium on Engineering Education, Budapest, Hungary, Oct 2009.

Amarin, R., Batarseh, F., and Batarseh, I., "Adaptive Electronic Quizzing Method for Introductory Electrical Circuits Course", Proceedings of 4th IMCL (International Conference on Interactive Mobile and Computer Aided Learning) Amman, Jordan, Apr 2009.

Ramirez Padron, R., Batarseh, F., and Heyne, K., "A Comparison of Genetic Algorithms Selection Schemes", Proceedings of the Society of Hispanic Professional Engineers (SHPE) Conference, Washington, D.C., Oct 2009.

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Refereed Conference Posters:

[Poster] Batarseh, F., "Avoiding expensive hardware and software design decision using a cheap Raspberry Pi", Presented at the Scholarship on Teaching and Learning (SoTL) Day, Active Learning Strand, at GWU, Washington, D.C., Sep 2017.

[Poster] Bui, J., Batarseh, F., "Methods for Management of Big Data in the Intelligence Community", Presented at the Aspiring Scientist Summer Internship Program (ASSIP) Symposium, GMU Sci&Tech Campus, Aug 2017.

[Poster] Kumar, A., Batarseh, F., "Applying Artificial Methods for Application Development at the Federal Government", Presented at the Aspiring Scientist Summer Internship Program (ASSIP) Symposium, GMU Sci&Tech Campus, Aug 2017.

[Poster] Batarseh, F., and Pithadia, J., "Context-Aware User Interfaces for Intelligent Applications", Presented at the Tenth International and Interdisciplinary Conference on Modeling and Context, Paris, France, Jun 2017.

[Poster] Batarseh, F., and Yang, R., "Context-Driven Testing of Analytical Tools through Kansei Engineering", A paper poster presented at the Annual Conference on Biologically Inspired Cognitive Architectures (BICA), Artificial Intelligence and Cognition Workshop, New York, NY, Jul 2016.

[Poster] Batarseh, F., "Evaluating the Quality of Service Using Big Data Analytics - with application to healthcare", Presented at the Multi-Disciplinary Research Symposium, Fairfax, VA, Apr 2015.

[Poster] Batarseh, F., "Increasing the Security of US Federal Software Systems through Big Data Analytics", Presented at the Multi-Disciplinary Research Symposium, Fairfax, VA, Feb 2016.