M.Sc. Research Thesis
- Design for Testability in the Presence of Asymmetric Transistor Aging
- Adaptive aging timing margins optimized for power saving
- Compression of AI transformer models for specialized tasks
- Exploration of power integrity reliability concerns in modern VLSI Technologies.
- Physical Design Flow optimized by Machine Learning models
M.Sc. Research with option to Ph.D.
- Approximated computing architecture for Advanced Machine Learning and Generative AI models
- Asymmetric Aging induced by Hot Carrier Injection - characterization study and mitigation approaches
- A RISCV based Systolic array accelerator for ML applications
Ph.D. Research
- Asymmetric-aging aware Design for Testability (DFT) flow
- Design Flow optimization for chiplets
- Physical Design Flow optimized by Machine Learning models