RESEARCH

Areas of Interest: 
AI for Policy
Data Engineering
AI Assurance
Context and Causality
Data Openness and Democratization

2020 Book Published (contact me for an e-copy): 
Data Democracy.
Buy/View here.
 
2017 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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Selected Publications:
 
1. Munisamy, G., Batarseh, F., Kulkarni, A., and Beckman, J., “Machine Learning in Gravity Models: An Application to Agricultural Trade”, A working paper at the Agricultural Markets and Trade Policy meeting at the National Bureau of Economic Research (NBER), April 2020.

2. Batarseh, F., Munisamy, G., Monken, A., Gu, Z., “Policy Making for U.S. International Trade through Association Rules and Ensemble Machine Learning”, Submitted to Nature Communications, April 2020.


3. Batarseh, F., Munisamy, G., Nalluru, G., Beckman, J., “Application of Machine Learning in Forecasting International Trade Trends”, The Association for the Advancement of Artificial Intelligence (AAAI) - Fall Symposium Series, AI in Government and Public Sector, Arlington, VA, Nov 2019

4. Batarseh, F., and Kulkar, A., “Context-Driven Predictions through Bias Removal and Data Incompleteness Mitigation”, Society for Industrial and Applied Mathematics (SIAM) - 1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning (EDML), Calgary, Canada, May 2019
 

5. Batarseh, F., Nambiar, G., Gendron, G., and Yang, R., “Geo-Enabled Text Analytics through Sentiment Scoring and Hierarchical Clustering”, IEEE Proceedings of the Seventh International Conference on Agro-Geoinformatics, Hangzhou, China, Aug 2018.

6. Batarseh, F., Ghassib., I., Chong, S., Su, P.,“Preventive Healthcare Policies in the US: Data-Driven Solutions for Disease Management Using Machine Learning”, Submitted to Elsevier’s Journal of Big Data Research, October 2019.
 
7. 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”, Proceedings of iSTE Open Science Journal of Modelling and Using Context, Oct 2018.

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

9. 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.

10. 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.

11. 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.

12. 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.

13. [Book] Batarseh, F., and Yang, R., “Data Democracy: At the Nexus of Artificial Intelligence, Software Development, and Knowledge Engineering”, under contract with Elsevier's Academic Press, release date: Oct 2019.

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

15. [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.

16. 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.

17. 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.

18. 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.

19. 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.

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