Faculty Profiles

Aziz, S. D., & Komogortsev, O. (2025). Exploring the Uncoordinated Privacy Protections of Eye Tracking and VR Motion Data for Unauthorized User Identification. ACM. https://doi.org/10.1109/VR59515.2025.00046

Raju, M. H., Aziz, S. D., Komogortsev, O., & Proulx, M. (2025). Evaluating Eye Tracking Signal Quality with Real-time Gaze Interaction Simulation: A Study Using an Offline Dataset (pp. 1–11). ACM. https://doi.org/10.1145/3715669.372311

Lohr, D., Katrychuk, D., Aziz, S. D., Raju, M. H., & Komogortsev, O. (2025). Device-Specific Style Transfer of Eye-Tracking Signals (pp. 1–11). ACM. https://doi.org/10.1145/3715669.3726787

Griffith, H., Katrychuk, D., Raju, M. H., Aziz, S. D., Lohr, D., & Komogortsev, O. (2025). The percentile-matching technique for synthetic eye tracking signal degradation: A biometric case study. PLOS One, 20(11). https://doi.org/10.1371/journal.pone.0334605

Aziz, S. D., Lohr, D., Friedman, L., & Komogortsev, O. (2024). Evaluation of Eye Tracking Signal Quality for Virtual Reality Applications: A Case Study in the Meta Quest Pro. ACM. https://doi.org/https://dl.acm.org/doi/10.1145/3649902.3653347

Lohr, D., Aziz, S. D., Friedman, L., & Komogortsev, O. (2023). GazeBaseVR, a large-scale, longitudinal, binocular eye-tracking dataset collected in virtual reality. Scientific Data, 10(1). Retrieved from https://www.nature.com/articles/s41597-023-02075-5

Aziz, S. D., Lohr, D., Stefanescu, R., & Komogortsev, O. (2023). Practical Perception-Based Evaluation of Gaze Prediction for Gaze Contingent Rendering (pp. 1–17).

Lohr, D., Johnson, S., Aziz, S. D., & Komogortsev, O. (2023). Demonstrating Eye Movement Biometrics in Virtual Reality. ACM.