Ali Tavakkoli's Academic Homepage
My Academic Homepage
Current and completed research projects, collaborations, software, and datasets.
We extend its visual‑AI expertise to fire science and remote sensing, leveraging computer vision and UAV‑IoT frameworks to improve wildfire detection and environmental monitoring—areas increasingly critical amid rising wildfire risks.
We explores digital twin models that mirror human visual physiology, enabling the simulation of ophthalmic deficits and aiding clinicians in managing disease progression.
In collaboration with leading medical institutions, the lab develops deep‑learning architectures to automate the detection of various pathologies and their progression, contributing to advancements in remote, AI‑based medical screening.
An extended‑reality (XR) ophthalmic diagnostic suite that harnesses real‑time eye‑tracking within XR headsets (e.g., Pico 4) to perform visual field, color vision, and RAPD assessments—exemplifying the lab’s commitment to immersive, data-rich wearable diagnostics.