Feras Batarseh

Contact Info

PhD, Computer Engineering, University of Central Florida, 2011
Graduate Certificate, Software Projects Leadership, Cornell University, 2016

Data Science, AI, Machine Learning

Data Science, AI, Machine Learning, Federal Data Science
Turing Research

Data Science, AI, Machine Learning

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

It is critical for the US and the countries of the west to collectively define the path forward, writes Feras A. Batarseh