About
Dr. Robert Legenstein is a Full Professor and Institute Head at the Institute of Machine Learning and Neural Computation, Graz University of Technology. He serves as Speaker of the Graz Center for Machine Learning and Action Editor for Transactions on Machine Learning Research (TMLR). His research bridges computational neuroscience and machine learning, focusing on neuromorphic computing systems that mimic biological neural networks.
- Research Leadership: Leads EU-funded projects like Adaptive Optical Dendrites (FET-Open), SYNCH (FET-Proactive), and Stochastic Assemblies in SNNs (FWF).
- Scientific Contributions: Develops learning algorithms for spiking neural networks (SNNs), with applications to memristive architectures, neuroprosthetics, and energy-efficient AI systems.
- Key Publications: 15+ recent works on topics including dendritic computing, hardware-aware training, and context-dependent neural processing.
- Teaching Roles: Offers courses like Deep Learning, Principles of Brain Computation, and Data Structures & Algorithms.
Contact: robert.legenstein@tugraz.at | +43 316 873 5824 | Inffeldgasse 16b/I, 8010 Graz, Austria.
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