معرفی
André Kelm is a PhD candidate in the Computer Vision group at the Department of Informatics, University of Hamburg, affiliated with the Faculty of Mathematics, Informatics and Natural Sciences. His research spans deep learning for industrial innovation, domain adaptation, and synthetic data applications, with interdisciplinary interests in physics, audio, medical, and biological domains.
His work focuses on efficient adaptive inference, interpretability in deep learning, and bottom-up/top-down attention mechanisms. Recent publications highlight applications in drone-based port monitoring, dynamic neural network optimization, and multimodal knowledge distillation.
Projects he contributes to include InteGreatDrones, Crossmodal Learning (CML), and NEUROBOTICS. For collaboration, contact him at andre.kelm@uni-hamburg.de.
