Professor; Associate Dean for AI Innovation in the CEC, Associate VP of Research (IDIA)
Building: Nguyen Engineering Building
Mail Stop: 4A5
Amarda Shehu is a Professor in the Department of Computer Science and Associate Dean for AI Innovation at the CEC. She is also the Inaugural Founding Co-Director of George Mason University’s Transdisciplinary Center for Advancing Human-Machine Partnerships (CAHMP) and Associate Vice President of Research for the Institute of Digital InnovAtion (IDIA). Shehu served as an NSF Program Director in the Information and Intelligent Systems Division of the Directorate for Computer and Information Science and Engineering during 2019-2022.
She is a Fellow of the American Institute for Medical and Biological Engineering (AIMBE) and has received several awards, including the 2022 Outstanding Faculty Award from the State Council of Higher Education for Virginia, the 2021 Beck Family Presidential Medal for Faculty Excellence in Research and Scholarship, the 2018 Mason University Teaching Excellence Award, the 2014 Mason Emerging Researcher/Scholar/Creator Award, the 2013 Mason OSCAR Undergraduate Mentor Excellence Award, and the 2012 National Science Foundation (NSF) CAREER Award.
Her research is regularly supported by various NSF programs, the Department of Defense, as well as state and private research awards.
Artificial Intelligence, Stochastic Optimization, Machine Learning, Deep Learning, Optimization for Deep Learning, Generative Models, Language Models, Bioinformatics, and Computational Biophysics.
- 2023-2026: Learning Protein-ish: Foundational Insight on Protein Language Models for Better Understanding, Democratized Access, and Discovery. Funded by the National Science Foundation.
- 2023-2026: Bioinformatics: Linking Chemical and Biological Space: Deep Learning and Experimentation for Property-Controlled Molecule Generation. Funded by the National Science Foundation.
- 2023-2026: Furthering U.S. Government Cybersecurity and IT Modernization Leadership and Governance. A Congressionally-funded Community Project.
- 2022-2025: The cultural, economic, and institutional determinants of AI infrastructures and their consequences in global contexts. Funded by the Department of Defense Minerva Program.
- 2022-2023: Detection of Malware through Side Channel Analysis. Funded by the Commonwealth of Virginia Cyber Initiative.
- 2019-2023: Graph Generative Deep Learning for Protein Structure Prediction. Funded the National Science Foundation.
- 2019-2023: Automated Analysis and Exploration of High-dimensional and Multimodal Molecular Energy Landscapes. Funded by the National Science Foundation.
- 2021-2022: Mechanisms of Amyloid Interaction and Signaling through the Nicotinic Receptor. Funded by the Commonwealth of Virginia, Alzheimer’s and Related Diseases Program.
- 2018-2022: Guiding Exploration of Protein Structure Spaces with Deep Learning. Funded by the National Science Foundation.
- 2018-2021: Statistical Inference for Molecular Landscapes. Funded by the National Science Foundation.
- 2019-2020: Evaluation of Molecular Structures via Deep Learning. Funded by the Jeffress Trust Awards Program in Interdisciplinary Research.
- PhD, Computer Science, Rice University
- MS, Computer Science, Rice University
- BS, Computer Science and Mathematics, Clarkson University