Areas of Interest:
Data Science
Artificial Intelligence
Context-Aware Software Systems
Federal Data Analytics
Latest Book Published (contact me for an e-copy):
Federal Data Science.
Buy/View here.
Ph.D. Dissertation (contact me for a copy):
Incremental Lifecycle Validation of Knowledge-Based Systems through CommonKADS
New Book - December 2019: Data Democracy! Coming soon...
**********
Refereed Journal Articles:
Data ScienceArtificial Intelligence
Context-Aware Software Systems
Federal Data Analytics
Latest Book Published (contact me for an e-copy):
Federal Data Science.
Buy/View here.
Ph.D. Dissertation (contact me for a copy):
Incremental Lifecycle Validation of Knowledge-Based Systems through CommonKADS
New Book - December 2019: Data Democracy! Coming soon...
**********
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.
**********
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.
**********
Peer
Reviewed Conference Papers:
Batarseh, F., and Kulkar, A., “Context-Driven Predictions through Bias Removal and Data Incompleteness Mitigation”, Proceedings of the 1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning (EDML 2019), at the SIAM International Conference on Data Mining (SDM19), May 2019, Calgary, Canada
Batarseh, F., Chanthati, S., Kotte, N., and Kumar, A., "Augmenting Policy Making got Autonomous Vehicles through Geoinformatics and Psychographics", IEEE Proceedings of the Seventh International Conference on Agro-Geoinformatics, Hangzhou, China, Aug 2018.
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.
**********Refereed Conference Posters:
[Poster] Batarseh, F., and Kulkar, A., “Context-Driven Predictions through Data Imputation and Inference”, Proceedings of the 32nd International Florida Artificial Intelligence Research Society (FLAIRS) Conference, Association for the Advancement of Artificial Intelligence (AAAI), Sarasota, FL, May 2019.
[Poster] Batarseh, F., and Kotapati, A., ”Quantifying the Global Race for Artificial Intelligence using Clustering and Correlation Analysis”, Proceedings of the 32nd International Florida Artificial Intelligence Research Society (FLAIRS) Conference, Association for the Advancement of Artificial Intelligence (AAAI), Sarasota, FL, May 2019.
[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.