معرفی
Dr. Asma Atamna is a postdoctoral researcher in the Theory of Machine Learning group led by Prof. Tobias Glasmachers at Ruhr-Universität Bochum’s Institute of Neuroinformatics (INI). Her research bridges numerical optimization and machine learning (ML), focusing on adaptive hyperparameter mechanisms for optimizers like Adam and SGD. She emphasizes real-world applications, contributing to the ecoKI project to aid SMEs in digitalization via ML platforms. Notably, she developed ContainerGym—a reinforcement learning benchmark addressing real-world resource allocation challenges. Her work critiques academic ML benchmarks for lacking real-world complexity, advocating for practical evaluation frameworks.
Research interests include reinforcement learning, evolutionary algorithms, convergence analysis, and constrained optimization. She collaborates closely with industrial partners to ensure applied relevance. Affiliated with the INI (part of the Faculty of Computer Science), her work intersects disciplines like neuroscience-inspired AI, robotics, and data science. Contact: asma.atamna@ini.rub.de.
