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CHIPS Faculty

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

Anantram Anant

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

Dunham Scott

Electronic, Photonic, and Integrated Quantum Systems (EPIQS)Power and Energy Systems

Kai-Mei Fu

Kai-mei Fu

Electronic, Photonic, and Integrated Quantum Systems (EPIQS)

Quantum and nano-photonics, quantum networks, quantum defects in crystals

Ang Li

Ang Li

 

Mo Li

Electronic, Photonic, and Integrated Quantum Systems (EPIQS)

Integrated photonics, quantum photonics, NEMS/MEMS, sensors

Lih Lin 

Lih Lin

Electronic, Photonic, and Integrated Quantum Systems (EPIQS)

Photonics, perovskite optoelectronics, optical MEMS

Arka Majumdar

Arka Majumdar

Electronic, Photonic, and Integrated Quantum Systems (EPIQS)

Nanophotonics, Integrated quantum optics, Meta-optics

Sajjad Moazeni

Sajjad Moazeni

BiosystemsComputing and NetworkingElectronic, Photonic, and Integrated Quantum Systems (EPIQS)

System Integration for Emerging Technologies, Integrated Photonics, Mixed-signal Integrated Circuits, Neurophotonics & Biophotonics

Hossein Naghavi

Hossein Naghavi

Computing and NetworkingElectronic, Photonic, and Integrated Quantum Systems (EPIQS)Biosystems

Millimeter-wave and terahertz integrated electronics, Applied electromagnetics, Bioelectromagnetics

Chris Rudell

Chris Rudell

BiosystemsComputing and Networking

Analog, RF and mm-Wave Integrated Circuits Design, Wireless Systems, Integrated Biomedical Applications, PET Imaging Electronics

Richard Shi

Shi Richard

Data Science;

Biosystems;

Computing and Networking

Machine learning hardware, integrated circuit design, electronic design automation

Michael Taylor

Michael Taylor headshot

Computing and Networking

Computer Architecture, VLSI, Deep Learning / Machine Learning Hardware, Bitcoin Mining Hardware, Open Source Hardware & RISC-V, ASIC Clouds