Faculty

Nanoelectronics, Spintronics, Emerging Technologies for Computing, Digital and Mixed-signal VLSI, Neuromorphic and Probabilistic Computing, Quantum Computing, Hardware Acceleration

Brain-Inspired Computing, Applied Machine Learning, Hardware Machine Learning Systems, Machine Learning Enabled Electronic Design Automation, Circuits & Systems

Power Management Integrated Circuits including Energy Harvesters and RF Supply Modulators, RF Power Amplifiers, Low-power Mixed-signal Circuits with focus on New Architectures for Analog/Digital Circuits

Solid-State Nanoionics, Emerging Electron Devices and Circuits, Non-Volatile Memories, Neuromorphic Computing

Low-Power Analog VLSI, High Speed Electronics for Photonics, Biomimetic Nanosystems, Neural Prostheses, Biosensors, Block Polymer Synthesis, Self-Assembly, and Microfabrication

Artificial Intelligence for Design and Test, Data Analysis, Machine Learning

Electronic and Photonic Design Automation; Mathematical Data Science; Uncertainty quantification: Tensor-based Machine Learning and Hardware