Nivedita Yadav

Nivedita Yadav is a Postdoctoral Researcher affiliated with the Federated Labs AI and Robotics group at the Department of Electronics and Informatics. Her research spans interdisciplinary domains, integrating artificial intelligence and software engineering to advance astrophysical data analysis.

• Current projects include IOF GEAR: Artificial Intelligence Lab (2022-2026) and IOF GEAR Project AST4S3 (Advanced Software Technologies for Smart Systems).
• Key research areas: Artificial Intelligence, Reinforcement Learning, Gravitational Wave Astronomy, and Dark Matter Research.

Recent publications focus on gravitational wave detection using AI-driven methods, including eccentric black hole coalescence analysis and ultralight dark matter modeling, reflecting collaborations with LIGO, Virgo, and KAGRA consortia. Her work bridges computational techniques with astrophysical phenomena, enhancing detection accuracy through advanced software ecosystems.

• Notable research outputs: 3 peer-reviewed publications in 2024 (Astrophysical Journal, Physical Review D).
• Collaborations: Multidisciplinary teams across Belgium, focusing on AI applications in gravitational physics and secure systems development.

With expertise in AI-driven data modeling and software engineering, Yadav contributes to cutting-edge astrophysical studies while advancing AI ecosystems in applied research settings.