معرفی
Dr Luca Manneschi is a Lecturer in Machine Learning at the School of Computer Science, University of Sheffield, with an IBM Liaison role. He holds a PhD in Physics from the University of Sheffield (2021) and completed a PostDoc there before his current position since March 2022. His research focuses on designing learning algorithms inspired by biological networks for physically defined systems, emphasizing neuromorphic computing, reservoir computing, and stochastic environments.
Education:
- Bachelor's in Physics: University of Padua (Italy)
- Master's in Physics: Sapienza University of Rome (Italy)
- PhD in Physics: University of Sheffield (2021)
Research Interests: Dr. Manneschi explores algorithms for physically defined networks, leveraging biological network principles to enhance computation in dynamic environments. His work bridges machine learning with neuromorphic hardware, emphasizing adaptability and energy efficiency. Key areas include reservoir computing, magnetic metamaterials, and multi-timescale learning strategies.
Grants & Funding:
- "Real-time Reservoir Computing on Prosthetic Devices" (2023–2025, Royal Society, PI)
- "MARCH: Magnetic Architectures for Reservoir Computing Hardware" (2021–2025, EPSRC, Co-PI)
- "CausalXRL: Causal Explanations in Reinforcement Learning" (2021–2024, EPSRC, Co-PI)
- "ActiveAI" (2019–2024, EPSRC, Co-PI)
Lab/Team Affiliation: Machine Learning Research Group, School of Computer Science.
