Feras Batarseh
- Research areas: Artificial Intelligence Assurance, Intelligent Water Systems, Cyberbiosecurity, Context and Causality, AI for Agricultural Policy
![Feras Batarseh, Virginia Tech Biological Systems Engineering Faculty](/content/bse_vt_edu/en/people/faculty/feras-batarseh/_jcr_content/bio-image.transform/m-medium/image.jpg)
M.Sc., Computer Engineering, University of Central Florida, 2007
Ph.D., Computer Engineering, University of Central Florida, 2011
Pg.C., Project Leadership, Cornell University, 2016
JM, Law, George Mason University, 2022
ECE 5994/7994: Graduate Research (VT) Fall 2021, Spring 2022.
CDS 302: Scientific Data and Databases (GMU) Fall 2020.
ANLY 503: Scientific and Analytical Visualization (Georgetown U) Fall 2019.
ANLY 501: Introduction to Data Analytics (Georgetown U) Fall 2019.
DATA 601: Introduction to Data Science (UMBC) Fall 2018, Spring 2019.
CDS 301/501: Scientific Information and Data Visualization (GMU) Fall 2017, 2018.
CSCI 6461: Computer Architecture Design (GWU) Spring 2017.
SWE 632: User Interface Design and Development (GMU) Spring/Fall 2016, 2017, 2019.
Program Focus
My research spans the areas of artificial intelligence (AI) and cyberbiosecurity for water systems and smart agriculture. My team and I develop AI applications and assurance algorithms to address persisting water security and agricultural public policy challenges, such as: analyzing international ag trade, protecting water supply systems, optimizing smart-farming and precision agriculture, and understanding the economic effects of outlier events on biological systems (such as rivers and watersheds) using data-driven methods. However, throughout these AI deployments, serious show-stopper problems are persistent, such as: AI explainability, security, causality, and trustworthiness; as well as data bias and incompleteness, data democracy, and dark data. My research is at the intersection of these issues.
[Book] Batarseh, F., and Freeman, L., “AI Assurance: Towards Valid, Explainable, Fair, and Ethical AI” Upcoming with Elsevier's Academic Press, October 2022. Link
[Book] Batarseh, F., and Yang, R., “Data Democracy: At the Nexus of Artificial Intelligence, Software Development, and Knowledge Engineering”, Published by Elsevier's Academic Press, ISBN: 9780128183663, Jan 2020. Link
[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. Link