Lei Yang
استادیار · Hardware/Software Co-Exploration for Neural Network Architectures
George Mason Universityمعرفی
Dr. Lei Yang is an Assistant Professor in the Department of Information Sciences and Technology at George Mason University, focusing on Hardware/Software Co-Exploration for Neural Network Architectures, Embedded Systems, and High-Performance Computing. Previously, she served as an Assistant Professor at the University of New Mexico and held post-doctoral and research scholar positions at Notre Dame, UC Irvine, and the University of Pittsburgh.
Research Interests:
- System-Level Optimization for Applied Machine Learning
- Automated Machine Learning (AutoML)
- Federated Learning for Medical AI and Drug Discovery
- Quantum Neural Networks and Dark Silicon Many-Core Systems
- Thermal-Aware and Energy-Efficient Computing
Award Trends: 50+ publications in premier venues like DAC, ICCAD, and IEEE Transactions, with multiple Best Paper Awards and Nominations. Notable recognitions include the 2021 IEEE TCAD Donald O. Pederson Best Paper Award and the 2017 ICCD Best Paper Award.
Honors & Service:
- General Chair, SIGDA Student Research Forum at ASP-DAC 2023
- Organizer, E2ML Workshop at GLVLSI 2021
- Registration Chair, ICCD 2021
- TPC Member, DAC 2022, ICCAD 2021, and IEEE SOCC 2020
