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Fatima Majid, a �鶹��Ƶ senior majoring in cyber security engineering, was not just the only one-person team in the top 10 award winners at a recent cyber competition, she was the only student team. Majid placed ninth out of 51 teams, most of them comprising industry experts.  

“I went in, and they were all professional teams, like from Lockheed Martin. I thought, ‘I want to go home,’” said Majid with a laugh, describing her initial cold feet. “But I told myself I could do it. It helped that it was hosted at George �鶹��Ƶ, and I had professors there giving me support.”  

Her project focused on how the can protect critical U.S. infrastructure against low-cost drone attacks at scale, informed by Ukraine’s “Operation Spiderweb,” which used 117 drones to attack Russian air bases in June 2025.  

Majid’s lightbulb moment came with a flash as bright as a Virginia speed camera catching a lead-footed driver. Considering the significant network of traffic cameras in the commonwealth, she conceived SkyEyes. This applies an artificial intelligence (AI) model to the live feed of the Virginia 511 camera network, which provides real-time traffic information to citizens and transportation officials. SkyEyes demonstrated how a low-cost, AI-enabled surveillance layer could differentiate threats from non-threats, employing geofencing logic to define safe versus threat zones around sensitive sites. 

“I understand how drones work because of what I’ve done at George �鶹��Ƶ’s MIX lab—and since I know how to build it, I also know how to jam it. I trained the AI model on a data set provided from a contest sponsor, and that data set had drone imaging and drone prototyping,” she said. “The camera feeds can find objects flying, but what if it’s an Amazon drone, for example? Then I added geofencing and threat analysis to observe the behavior of the drone—if it's a drone at 2 a.m., for example, maybe that's sketchy. So, the model gets smarter.”  

Majid said that to access the cameras, all she had to do was make a phone call to the right person and explain her project. She cited time spent this summer at the in the (VASEM UPP) in Richmond as giving her confidence and exposure to how government works.  

, an associate professor in the at George �鶹��Ƶ, said, “The VASEM UPP is a unique opportunity for undergraduates to learn about opportunities in science policy at the state level. The immersive experience of spending a week in Richmond visiting the General Assembly and state agencies, while getting a crash course in how research evidence relates to public policy, can open new doors and career pathways.” 

Majid said the strong showing gave her tremendous exposure to influential professional contacts. She fielded several questions about her simulation and future professional plans from a man she only later realized was Retired Brigadier General and NDIA Executive Vice President Guy Walsh. 

“Because he showed interest, after he walked away, a crowd of people gathered around to ask me questions. It was very validating.”  

She also had a long conversation about her project with Harley Stout, acting chief digital and AI officer at the Joint Chiefs of Staff. 

Majid is still pleasantly shocked by her top-10 finish. She is working with , an associate professor in , on expanding the research. She is confident that such a cost-efficient solution for critical infrastructure protection against drone attacks will attract more funding opportunities.  

She credited the supportive culture at �鶹��Ƶ—and her family—for keeping her grounded and encouraging her throughout, saying their support made the accomplishment even more meaningful.