Faculty

VLSI Design and Architecture, System Level Tools and Specification, Electronic Design Automation, Low-Power Sigma-Delta Control and Signal Processing

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

Machine Learning, Ethical AI, Responsible Computing, Information Theory, Large-scale Distributed Computing

Integrated Circuits and Systems, Memory-Centric Computing, Analog Mixed-Signal and Digital VLSI, Hardware Accelerator, Alternative Computing, Brain-Inspired and Neuromorphic computing, Machine Learning Hardware, Design Automation

Integrated Circuits and Systems, Brain-Inspired Computing, Machine Learning Enabled Electronic Design Automation, Hardware Machine Learning Systems, Robust Machine Learning

Machine Learning, Computer Vision, Multi-modality Modeling, Robustness in Healthcare

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