Maha Sajid
PhD Candidate in Computer Science at Virginia Tech

I am a Ph.D. student in Computer Science at Virginia Tech, advised by Brendan David-John and Bo Ji. I am affiliated with the PrivateEye Lab and SNAIL Lab.
My research examines human attention and team cognition in collaborative extended reality: how people allocate attention, develop shared situational awareness, and coordinate under changing task demands. I combine eye tracking, multimodal behavioral analysis, and controlled human-subject studies with the design of networked XR prototypes. My current work investigates gaze-based measures and predictive models of individual and team attention, with the longer-term goal of designing immersive systems that better support collaborative decision-making.
I also study security and privacy in mixed reality, including how people recognize attacks in shared virtual spaces and how privacy indicators can better support bystanders.
Research Interests: Multimodal Behavioral Modeling · Eye Tracking · Human Attention · Collaborative XR · Team Cognition · Human-Centered Security & Privacy
The best way to reach me is at mahas@vt.edu.
News
| Year | Update |
|---|---|
| 2026 | Awarded the scholarship to attend the TAPIA 2026 conference in Atlanta, GA. |
| 2026 | Awarded the John Lee Pratt Fellowship for 2026–2027 and serving as a reviewer for IEEE VR. |
| 2026 | Earned the CRA UR2PhD Certified Graduate Mentor credential. |
| 2025 | Featured by Commonwealth Cyber Initiative Southwest Virginia in a researcher spotlight on my work in collaborative mixed-reality security. |
| 2025 | Co-authored work on multimodal privacy indicators for situationally impaired XR bystanders at IEEE ISMAR Adjunct 2025. |
| 2025 | Presented “Just stop doing everything for now!”: Understanding Security Attacks in Remote Collaborative Mixed Reality at the CCI Symposium 2025 in Richmond, Virginia. |
| 2025 | Selected as a CCI Southwest Virginia Cyber Innovation Scholar for FY25, following selection in FY24. |
| 2025 | Published first-author work on security attacks in remote collaborative mixed reality at IEEE VR 2025; the work was featured in Computerworld. |
| 2023 | Joined Virginia Tech as a PhD student and Graduate Research Assistant. |