Maryam Tavakol

Maryam Tavakol is an Assistant Professor at Eindhoven University of Technology, affiliated with the Uncertainty in AI group within the Mathematics and Computer Science department. Her expertise bridges artificial intelligence, machine learning, and computational modeling for sequential systems.

• PhD in Machine Learning, TU Darmstadt
• B.Sc. & M.Sc. in Computer Science, University of Tehran

Her research focuses on uncertainty estimation, reinforcement learning, and transformer architectures applied to domains like drug-target interaction prediction, soccer analytics, and music generation. Recent work explores activation sparsity in LLMs and robust VAE frameworks.

Key trends in her publications (2012–2024) span reinforcement learning, neural network architectures, and applications in healthcare and creative domains. Notable themes include contextual bandits, variational inference, and energy-efficient computing.

• Contributed to UN Sustainable Development Goals (Education/Academic Qualification)

She has supervised multiple research projects and served as corresponding author in peer-reviewed conferences. Collaborations include TU Dortmund, Leuphana University, and industry internships at Criteo.