About
Rodion Novkin is a researcher at the Chair of AI Processor Design (AI-Pro) at Technical University of Munich (TUM). His work bridges machine learning with semiconductor reliability and hardware design, focusing on emerging technologies like neuromorphic computing and RISC-V for AI.
Research interests include:
- Machine Learning for electronic reliability analysis
- Quantization-aware training techniques for neural networks
- FeFET/FinFET device degradation modeling
- ML-driven TCAD (Technology CAD) solutions
- Quantum computing hardware challenges
- Approximate computing for edge AI
2023 publications highlight trends in applying ML to semiconductor reliability, graph neural network optimization, and FeFET device modeling. His work spans from device physics to system-level AI implementations.
Contact: rodion.novkin@tum.de
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