Stochastic Computing, and Optimization for Processes & Electromagnetics Laboratory

We bridge the gap between computational intelligence and the physical world. Our research focuses on utilizing stochastic computing methodologies—including Bayesian optimization, generative AI, and quantum-centric frameworks—to solve complex optimization problems in electromagnetics and semiconductor/energy manufacturing.

Current Topics: # Electromagnetics, # Quantum Computing, # Machine Learning Application, #Optimization