Tina NIKOUKHAH

Tina NIKOUKHAH is a researcher in applied mathematics at the Centre Borelli at École normale supérieure Paris-Saclay, appointed since 2022. She holds a Master's in industrial and applied mathematics from Grenoble-Alpes University (2014), an engineering degree from Ensimag (Grenoble-INP), and a PhD in applied mathematics from ENS Paris-Saclay. Her research focuses on detecting image falsifications through JPEG compression traces and deepfake identification, with applications in digital forensics and computer vision.

Key Roles: Researcher at Centre Borelli, lecturer at ENS Paris-Saclay and ESJ Lille, and director of GetReal Labs. She develops tools like the ZERO detector for forgery localization, and contributes to open-source projects such as the Simplest_GOD library.

Research Interests: Tina specializes in algorithms to uncover image forgeries, including JPEG grid detection, video noise analysis, and synthetic image identification. Her work bridges signal processing, forensic analysis, and machine learning to combat misinformation through digital forensics.

Awards: Recipient of the 2022 L'Oréal-UNESCO Young Talent Award for Women in Science, recognizing her contributions to combating image falsification.

Teaching & Outreach: Engages in science education through the Maison d'Initiation et de Sensibilisation aux Sciences (MISS) and public lectures on fact-checking, deepfakes, and algorithm ethics.