Hello! I am a 3rd-year PhD student at SINERGIES Lab, Université Marie et Louis Pasteur. My research centers on visual action recognition and fall detection under extreme low-light and dark conditions.
My principle: systems built to operate reliably in real-world, production environments.
Beyond high-level architectures, I believe in deeply understanding what happens under the hood—from raw gradient flow to backpropagation. As Karpathy puts in his article: “Yes you should understand backprop”.
In the future, I am planning my transition toward industry roles, aiming for engineering positions at major tech companies.
News
[Aug ‘26] Paper published in Sensors: “Real-Time Vision-Based Fall Detection Systems for the Elderly: A Systematic Review”
[May ‘25] Attended 28th BMVA Computer Vision Summer School at University of Aberdeen
[Oct ‘24] Started my PhD
Education
PhD in Computer Vision — Université Marie et Louis Pasteur (2024–Present)
Thesis title: “DAYNIGHT-CARE”: AI-based fall detection platform for elderly individuals.
MSc. Data Science — Institut Supérieur d’Électronique de Paris (ISEP) (2022–2024)
BSc. Earth Science — French-Azerbaijani University (UFAZ) (2018–2022)
Experience
Computer Vision Engineer Intern — Upciti, Paris (Feb 2024 – Aug 2024)
Working on waste detection within smart city applications.
Data Analyst Intern — British Petroleum, Baku (Jul 2021 – Sep 2021)
Teaching Assistant — Université Marie et Louis Pasteur (Feb 2025 – May 2026)
Languages I speak
Professional: French, English
Native: Azerbaijani, Turkish