our exemplary staff
EE Staff Awards, February ‘21

Five EE staff recognized for their exemplary work.

AwardStaff2021

prof John Hennessy
John Hennessy receives BBVA Foundation Frontiers of Knowledge Awards

His citation reads, "for turning computer architecture into a science and designing the processors that power today’s devices”.

AwardFaculty2021

prof Kunle Olukotun
Kunle Olukotun elected to the National Academy of Engineering

His citation reads “for contributions to on-chip multiprocessor architectures and advancement to commercial realization.”

AwardFaculty2021

prof James Zou and PhD Amirata Ghorbani
James Zou and Amirata Ghorbani (PhD candidate) extend and adapt the Shapley approach to the study of data

They propose a fair way to quantify how much individual datasets contribute to AI model performance and companies’ bottom lines.

researchFacultystudent2021

prof Shanhui Fan
Shanhui Fan’s wireless charging goes the distance

The team's system adjusts frequency as the distance between the charger and the moving object changes.

researchFaculty2021

 Chuan-Zheng Lee, EE PhD candidate
Congratulations to PhD candidates Chuan-Zheng Lee and Leighton Pate Barnes

They received the Best Paper Award, Selected Areas of Communications at IEEE GLOBECOM 2020.

studentFacultyAward2021

3 EE faculty: Subhasish Mitra, Mary Wootters, and H.S. Philip Wong
Subhasish Mitra, H.S. Philip Wong, and Mary Wootters' system can run AI tasks faster and with less energy

New algorithms combine several energy-efficient hybrid chips to create the illusion of one mega–AI chip.

Facultyresearch2021

prof Martin Hellman
Martin Hellman selected as 2020 ACM Fellow

His citation reads, "For the invention of asymmetric public-key cryptography and the promulgation of a practical cryptographic key-exchange method.”

FacultyAward2021

prof H. Tom Soh
Tom Soh and collaborators create device that could transform medical diagnostics

In real time, the lab on a chip can continuously sense levels of virtually any protein or molecule in the blood.

Facultyresearch2021

prof Stephen Boyd
Stephen Boyd’s CVXGEN software helps guide SpaceX Falcon

CVXGEN generates customized flight code that enables very high-speed onboard convex optimization

Facultyresearch2021