prof Debbie Senesky
Debbie Senesky joins collaboration to create low-cost sensors that can track methane emissions

The team is working to develop a network of low-cost autonomous sensors that can endure tropical environments and collect real-time data about methane emissions.

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prof Srabanti Chowdhury
Srabanti Chowdhury receives the Semiconductor Research Corporation (SRC) Technical Excellence Award 2023

The award recognizes research of exceptional value to SRC members and which enhances the productivity and competitiveness of the semiconductor industry.

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Jerry Yang, EE alumnus
Q&A with EE alumnus Jerry Yang

Jerry Yang, chair of the Board of Trustees, shares his thoughts on Stanford’s upcoming leadership transition and reflects on the university’s recent accomplishments.

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prof Eric Pop
Eric Pop receives 2023 Viskanta Fellowship

His citation reads "for independent and innovative research in the field of thermal sciences."

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prof Dan Congreve
Dan Congreve selected as an Intel 2023 Rising Star Faculty

For his work on engineering nanoscale systems, with a particular focus on materials and devices to control light and energy.

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Dean and professor Jennifer Widom
Jennifer Widom's Instructional Odyssey

Begun in 2016, she continues to teach free data science courses

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Katie Neilson (EE PhD candidate). Image credit: Cornell
Katie Neilson wins Best Lightning Talk

For her presentation "Improving and Understanding 2D Material-Based P-Type Transistors.”

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Asir I. Khan, EE PhD Candidate
Asir I. Khan received the 2023 Russell & Sigurd Varian Award

His citation reads, "for novel materials for low-power memory and energy-efficient nanoelectronics.”

studentAwardresearch2023

prof Shanhui Fan
New paint gives extra insulation, saving on energy, costs, and carbon emissions

Researchers show that their newly invented paints, which they produced in a wide array of colors, can reduce the need for both heating and air conditioning in buildings and other spaces, like trains and trucks for refrigerated cargo.

Facultyresearch2023

prof James Zou
James Zou discusses implications of the ability of AI to predict the race or ethnicity of patients, based solely on medical images

How AI Inferences of Race in Medical Images Can Improve—or Worsen—Health Care Disparities.

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