Our Research

AlziDetect is one of the world's first initiatives dedicated to reducing the access barrier to traditional Alzheimer's screening and support, pairing a deployed gaze-screening solution with in-progress academic research.

See the work

In-Progress Research · Accepted to IEEE COMPSAC

Novel research, in collaboration with leading institutions

Our in-progress research, accepted to IEEE COMPSAC, is carried out in collaboration with two leading academic institutions.

The Hong Kong Polytechnic University The Education University of Hong Kong

Research Leads

Ali-Mansur Valiyev, Harihar Rengan & Ryan Zhu

Technical leads with Ryan Zhu as Neuro Lead, supported by the AlziDetect team

Our First Solution · Deployed

Gaze-Based Facial Landmark Screening

Using MediaPipe facial landmark tracking (468 points) and vertical eye-face coupling patterns reported in Alzheimer's research to flag early risk signals in under ~10 minutes. Recognised by Blue Ocean (Top 100), the Conrad Challenge (China Silver & Innovator Award), and the Diamond Challenge.

All of our knowledge for ML is derived from our partners at the Dubai CS Society who provide free, interactive ML learning resources.

Join Our Research

We're recruiting researchers to work alongside our technical leads and academic partners.

Apply for Research