He has taught AI and Data Science courses at multiple universities including George Mason University (GMU), University of Maryland, Baltimore County (UMBC), Georgetown University, and George Washington University (GWU).
Latest News:
[Oct 2021] Elevated to the grade of Senior Member of IEEE. https://www.ieee.org/
[Oct 2021] New accepted paper: Explainable Artificial Intelligence for Technology Policy Making Using Attribution Networks; Feras A. Batarseh, Dominick Perini, Qasim Wani, and Laura Freeman – accepted at AIxIA 2021
https://aixia2021.disco.unimib.it/home-page
[Sep 2021] New accepted paper: DeepAg: Deep Learning Approach for Measuring the Effects of Outlier Events on Agricultural Production and Policy; Sai Gurrapu, Feras A. Batarseh, Pei Wang, Md Nazmul Kabir Sikder, Nitish Gorentala, and Gopinath Munisamy – accepted at: IEEE SSCI 2021
https://attend.ieee.org/ssci-2021/
[Apr 2021] Batarseh, F., Freeman, L., and Huang, C., "A Survey on Artificial Intelligence Assurance", Springer's Journal of Big Data, 8, Article number: 60. https://rdcu.be/ckz4g
[Apr 2021] FLAIRS-34 new paper publication: Monken, A., Haberkorn, F., Gopinath, M., Freeman, L., & Batarseh, F. (2021). Graph Neural Networks for Modeling Causality in International Trade. The International FLAIRS Conference Proceedings, 34. https://doi.org/10.32473/flairs.v34i1.128485
[Apr 2021] FLAIRS-34 new abstract publication: https://journals.flvc.org/FLAIRS/article/view/128497
[Apr 2021] FLAIRS-34 new abstract publication: https://journals.flvc.org/FLAIRS/article/view/128499
[Dec 2020] Join us at the Health Gaming Analytics panel @ the Global Digital Health Forum: https://gdhf.conference.tc/2020/
[Nov 2020] Join us at AAAI's panel on AI for Policy: https://aaai.org/Symposia/Fall/fss20.php
[Sep 2020] Join us at Data for Policy: https://dataforpolicy.org/
My talk: Data-Driven Management of International Trade Policy during Outlier Events
[Aug 2020] Our new website is now live: http://turing.cos.gmu.edu/
[May 2020] Presentation at NBER: "Machine Learning in Gravity Models: An Application to Agricultural Trade".
[May 2020] "Pandemics and big data tyrannies", my latest LSE Business Review article:
https://blogs.lse.ac.uk/businessreview/2020/05/11/pandemics-and-big-data-tyrannies/
[Feb 2020] "The use of robots and AI in war", our LSE Business Review article:
https://blogs.lse.ac.uk/businessreview/2020/02/17/the-use-of-robots-and-artificial-intelligence-in-war/
[Jan 2020] Invited talk: Trade/ML Seminar at The University of Georgia.
[Dec 2019] International Agricultural Trade Research Consortium (IATRC) - presentation: “Machine Learning in Gravity Models: An Application to Agricultural Trade”, Washington, D.C.
[Nov 2019] Invited talk and panel - NASA Data Science Days Panel, “Data Science for Government: Challenges and Best Practices”, Washington, D.C.
[Nov 2019] AAAI fall symposium series talk: "Applications of Machine Learning in Forecasting International Trade Trends", Arlington, VA - events page.
[Aug 2019] Our research group's webpage launched:
http://mason.gmu.edu/~fbatarse/
[May 2019] Attending and presenting two posters on Data Incompleteness, and the Global AI race at Florida's AI Research Society Conference (FLAIRS); Sarasota, Florida.
https://sites.google.com/view/flairs-32homepage/home
[May 2019] Attending and presenting a paper (on data bias and context) at the Evaluation and Experimental Design in Data Mining and Machine Learning (EDML) workshop - the SIAM conference. Calgary, Canada.
https://imada.sdu.dk/Research/EDML/
[Oct 2018] "The Unspoken Race for Artificial Intelligence"; my latest article with the London School of Economics (LSE):
http://blogs.lse.ac.uk/businessreview/2018/10/30/the-unspoken-global-race-for-artificial-intelligence/
[Oct 2018] Invited talk: "Government Machine Learning Applications and the Future of Data Openness", presented to the academic delegation visiting GMU from Zhejiang Province, China.
[Aug 2018] Data Science Session Chair at the Seventh International Conference on Agro-Geoinformatics, Hangzhou, China.
[May 2018] Invited talk at the University of Alaska Anchorage (CSE department): "Machine Learning and Data Science Solutions for Software Engineering Challenges".
[Feb 2018] My latest entries into Springer's Encyclopedia of Big Data. To explore the Encyclopedia:
https://link.springer.com/referenceworkentry/10.1007/978-3-319-32001-4_253-1
https://link.springer.com/referenceworkentry/10.1007/978-3-319-32001-4_225-1
[Jan 2018] If you believe that access to science is a human right (as I do!), Open Science is the direction that we all need to adopt. My latest with the London School of Economics:
http://blogs.lse.ac.uk/businessreview/2018/01/08/why-an-open-mind-on-open-science-could-reshape-human-knowledge/
http://www.predictiveanalyticsworld.com/patimes/mind-text-public-data-political-insights/9125/
[Dec 2017] My latest talk: An Open Mind on Open Science. The Dupont Summit:
http://www.ipsonet.org/conferences/the-dupont-summit/ds17program
[Dec 2017] My book: Federal Data Science - available now:
http://www.amazon.com/gp/product/1493918869/ref=cm_cr_ryp_prd_ttl_sol_0
[Oct 2017] My interview with Predictive Analytics Times:
http://www.predictiveanalyticsworld.com/patimes/wise-practitioner-predictive-analytics-interview-series-feras-batarseh-george-mason-university-george-washington-university/8891/
[Sep 2017] A new article about the future of AI (@London School of Econ (LSE) Business Review):
http://blogs.lse.ac.uk/businessreview/2017/09/20/thoughts-on-the-future-of-human-knowledge-and-machine-intelligence/
[Sep 2017] My Tedx talk (video coming soon):
https://twitter.com/TEDxMason/status/906940419241660416
[Aug 2017] Chairing a data science session at the international geo-informatics conference:
http://www.agro-geoinformatics.org/sessions.html
[Jun2017] A new paper published at: http://context17.lip6.fr/index.php
Context-Aware User Interfaces for Intelligent Emergency Applications
[Feb 2017] New paper published: 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
https://www.cs.seas.gwu.edu/dr-batarseh-publishes-journal-big-data-analytics
[2016] New poster paper presented at the AIC workshop in New York, NY, at the BICA Conference: http://www.di.unito.it/~lieto/AIC2016/index.html
Context-Driven Testing of Analytical Tools through Kansei Engineering
[2016] My papers used at University of Waterloo (for a student project):
https://cs.uwaterloo.ca/~palencar/cs846/fall-2016/presentations/student/regular/oct27/01-Hitawala.pdf
[2016] New paper published at Elsevier's Journal of Big Data Research:
http://www.sciencedirect.com/science/article/pii/S2214579615000519
[2016] Latest book chapter now available!
http://link.springer.com/book/10.1007/978-1-4939-1887-4
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For further information on research grants, funding, student employment, campus service,
research projects, reviewing services, awards, memberships, and further affiliations, please contact me.
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I invite you to explore my portfolio.
Thank you for your time, enjoy!
-Feras A. Batarseh