UW ECE’s top-notch faculty bring considerable expertise in chip design and semiconductor research, along with strong industry partnerships and a recently redesigned undergraduate curriculum to offer academic pathways for students interested in pursuing studies and careers related to the semiconductor industry. The Department plans to add more faculty in these areas in the near future.
Anant Anantram
Electronic, Photonic, and Integrated Quantum Systems (EPIQS) Quantum and bio-nano devices, quantum transport, memory devices, device and materials, theory and modeling, nanotechnology |
Scott Dunham
Electronic, Photonic, and Integrated Quantum Systems (EPIQS); Power and Energy Systems |
Kai-Mei Fu
Electronic, Photonic, and Integrated Quantum Systems (EPIQS) Quantum and nano-photonics, quantum networks, quantum defects in crystals |
Ang Li
Computer Architecture, Digital VLSI, Reconfigurable Computing, Hardware Acceleration, Design Automation, Open Source Hardware |
Mo Li
Electronic, Photonic, and Integrated Quantum Systems (EPIQS) Integrated photonics, quantum photonics, NEMS/MEMS, sensors |
Lih Lin
Electronic, Photonic, and Integrated Quantum Systems (EPIQS) Photonics, perovskite optoelectronics, optical MEMS |
Arka Majumdar
Electronic, Photonic, and Integrated Quantum Systems (EPIQS) Nanophotonics, Integrated quantum optics, Meta-optics |
Sajjad Moazeni
Biosystems; Computing and Networking; Electronic, Photonic, and Integrated Quantum Systems (EPIQS) System Integration for Emerging Technologies, Integrated Photonics, Mixed-signal Integrated Circuits, Neurophotonics & Biophotonics |
Hossein Naghavi
Computing and Networking; Electronic, Photonic, and Integrated Quantum Systems (EPIQS); Biosystems Millimeter-wave and terahertz integrated electronics, Applied electromagnetics, Bioelectromagnetics |
Chris Rudell
Biosystems; Computing and Networking Analog, RF and mm-Wave Integrated Circuits Design, Wireless Systems, Integrated Biomedical Applications, PET Imaging Electronics |
Richard Shi
Data Science; Biosystems; Computing and Networking Machine learning hardware, integrated circuit design, electronic design automation |
Michael Taylor
Computer Architecture, VLSI, Deep Learning / Machine Learning Hardware, Bitcoin Mining Hardware, Open Source Hardware & RISC-V, ASIC Clouds |
