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Mason Alert:

All George Mason University campuses are closed Saturday, January 24 at 10 p.m. and all day Sunday, January 25, due to inclement weather. For more information about campus operations visit: https://www.gmu.edu/campus-status

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Empowering a Smarter, More Innovative Future

Driving responsible digital innovation and sustainable infrastructure, George Mason University is at the forefront of harnessing artificial intelligence, emerging technologies, and advanced cyberinfrastructure to address critical human and environmental challenges. By integrating ethical innovation with sustainability, Mason researchers and students are developing solutions that not only advance technology but also ensure it benefits society, strengthens communities, and promotes a more equitable, intelligent future.

Student in lab

Advancing Digital Innovation Through Data, Modeling, and Geospatial Insight

Across George Mason University, departments are driving digital innovation through advanced research, data-driven discovery, and cutting-edge technology. In the Department of Mathematical Sciences, students and faculty apply rigorous quantitative methods to solve complex problems in applied and computational mathematics—building the theoretical foundations that underpin breakthroughs in artificial intelligence, modeling, and data analysis. The Department of Computational and Data Sciences (CDS) advances the science of data, developing new analytical techniques and computational tools that inform decision-making across industries and government sectors. Meanwhile, the Department of Geography and Geoinformation Science (GGS) leverages digital mapping, geospatial intelligence, and drone-based remote sensing to better understand our rapidly changing world. Each department plays a vital role in shaping Mason’s vision for responsible digital innovation—transforming data, algorithms, and spatial technologies into solutions that enhance sustainability, resilience, and global insight.

An Artificial Intelligence (AI) Nexus at George Mason

George Mason University is building a responsible, campus-wide AI ecosystem through its new AI2Nexus model, which integrates AI into education, research, operations, and community impact. The university is expanding AI-focused courses and programs while launching tools like the NebulaONE platform to give all students, faculty, and staff access to advanced generative AI models. With active partnerships across industry, government, and research organizations, Mason is positioning itself as a leader in ethical AI innovation and workforce development.

Image of AI

Advancing Neuromorphic Imaging and Digital Twins

George Mason University received funding from the Air Force Office of Scientific Research to establish the nation’s first Neuromorphic Imaging and Digital Twins Lab under the Center for Mathematics and Artificial Intelligence, advancing next-generation optimization algorithms and sensing technologies. Led by Harbir Antil and Rainald Löhner, the lab supportx cutting-edge research in areas like object recognition, motion detection, and high-speed imaging, while serving as a shared resource for academia, industry, and government partners.

Breakthrough Detection of Fractional Quantum Hall Effect in Bilayer Graphene

George Mason University researchers, led by physics and astronomy assistant professor Fereshte Ghahari, have achieved the first thermopower-based detection of the Fractional Quantum Hall effect in bilayer graphene, revealing thermopower as a more sensitive probe than traditional resistivity measurements. Published in Nature Physics, the work uncovers previously unseen quantum states and opens new pathways for exploring topological properties with implications for future quantum computing technologies.

Fereshte Kermani in a lab

Understanding How We Trust AI

A global research team led in part by Mason neuroscientist Frank Krueger has introduced the TrustNet Framework, a new model for examining how people, institutions, and AI systems build trust with one another. Their open-access article analyzes more than 34,000 studies to identify key elements that shape trust in AI across areas like healthcare, hiring, and misinformation. The framework offers a transdisciplinary path forward to ensure AI is developed and deployed responsibly in high-stakes settings.

Illustrated image of a person and robot facing one another.

Digital Experts

Harbir AntilProfessor, Department of Mathematical Sciences

Harbir Antil is head of the Center for Mathematics and Artificial Intelligence and a professor of mathematics at George Mason University. His areas of interest include optimization, calculus of variations, partial differential equations, numerical analysis, and scientific computing with applications in optimal control, shape optimization, free boundary problems, dimensional reduction, inverse problems, and deep learning. He also serves as the vice president of the SIAM Washington-Baltimore Section. 

Habir Antil

Alireza ErmagunAssistant Professor, Department of Geography and Geoinformational Sciences

Alireza Ermagun is the Director of Mobility Observatory and Data Analytics Lab and an Assistant Professor in the Department of Geography and Geoinformation Science at George Mason University. A common theme in his research activities is using emerging data and technologies, identifying novel solutions, developing practical methods, introducing innovative theories, and formulating policies and plans.

Alireza Ermagun

Rainald LöhnerProfessor, Department of Physics and Astronomy

Rainald Löhner is a professor in the Department of Physics and Astronomy and director of the Center for Computational Fluid Dynamics. His areas of interest include numerical methods, solvers, grid generation, parallel computing, visualization, pre-processing, fluid-structure interaction, shape and process optimization and computational crowd dynamics. His codes and methods have been applied in many fields, including aerodynamics of airplanes, cars and trains, hydrodynamics of ships, submarines and UAVs, shock-structure interaction, dispersion analysis in urban areas, hemodynamics of vascular diseases and pedestrian safety assessments.

Rainald Löhner

Fereshte Ghahari KermaniAssociate Professor, Department of Physics and Astronomy

Fereshte Ghahari is an associate professor of physics at George Mason University. Her major accomplishments were the discovery of fractional quantum hall effect and hydrodynamic thermoelectric transport in graphene which both proved the importance of interaction effects in this system. Before moving to George Mason University in 2019, she worked as a postdoctoral researcher at National Institute of Standards and Technology (NIST). Her current research interests lie in understanding topological and strongly correlated physics in low dimensional materials by a combination of electrical transport, thermopower, and scanning probe microscopy measurements. She is the recipient of Chien-Shiung award, DOE early career and NSF CAREER awards.

George Mason University Assistant Professor for Physics and Astronomy Fereshte Ghahari Kermani

Patrick VoraAssociate Professor, Department of Physics and Astronomy

Patrick Vora is a physics professor at George Mason University who works with graduate and undergraduate students to study quantum phenomena in atomically-thin materials using optics, electronic transport, and magnetic measurements. He also is the Director of the Quantum Science and Engineering Center where his research focuses on quantum phenomena dominate when materials are reduced to nano-scale dimensions and lead to diverse optical, electronic, and magnetic properties distinct from the bulk form. Using a range of optical and electronic experimental techniques, he studies 2D materials (graphene, transition metal dichalcogenides, etc.), 1D materials (carbon nanotubes, DNA photonic wires, nanowire memristors), and heterostructures formed by combining these materials.

Headshot of Patrick Vora

College of Science celebrates its first graduates of unique AI-enhanced histotechnologist program

In May 2024, George Mason University's College of Science celebrated the first graduates of its AI-enhanced Histotechnologist Certification Program, created with Inova Health Systems. The program integrates digital and molecular pathology, using AI to cut cancer diagnosis times from 45 days to 24 hours. Led by Mason alumnus Nicholas Hoo-Fatt and assistant professor Anne Verhoeven, all graduates passed the ASCP board exam.

The first graduates from the Histotechnologist Certification Program included (L-R) Kannitha Chek, George Mason University; Sophia Peterson, George Mason University;  Terrnika Jackson, Old Dominion University; and Ardalan Kiani, George Mason University.

George Mason Continues to Prepare Students for a New Era of Innovation

Quantum science may operate at the tiniest scales of the universe, but its potential to reshape our world is anything but small. To prepare the next generation for a quantum-powered future, George Mason University once again hosted the Pathways to Quantum Immersion Program, preparing high school students for careers in this rapidly emerging field.

Student from Quantum Pathways Program

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* The programs and services offered by George Mason University are open to all who seek them. George Mason does not discriminate on the basis of race, color, religion, ethnic national origin (including shared ancestry and/or ethnic characteristics), sex, disability, military status (including veteran status), sexual orientation, gender identity, gender expression, age, marital status, pregnancy status, genetic information, or any other characteristic protected by law. After an initial review of its policies and practices, the university affirms its commitment to meet all federal mandates as articulated in federal law, as well as recent executive orders and federal agency directives.