2021 News Archive




The University Remembers Professor David Blackstock

May 18, 2021

David T. Blackstock, a former electrical engineering faculty member here, passed away last month at the age of 91. David joined the department in 1963 and helped pioneer “weak shock theory” which became a key foundation for the field of nonlinear acoustics, says Kevin Parker, the William F. May Professor of Engineering and dean emeritus of engineering and applied sciences. David joined the University of Texas at Austin in 1987 but continued to return here for many years to teach graduate level Acoustics and Nonlinear Acoustics as a summer course. “His continued collaboration with Professor Ed Carstensen in the 1990s lead to a revolution in nonlinear imaging using medical ultrasound,” Kevin says. An icon in the Acoustical Society of America, David was elected to the National Academy of Engineering in 1992. Memorial Donations may be made to UT’s recently established David T. Blackstock Endowed Undergraduate Scholarship in Acoustics. Read more here.

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Honor Society Inductees, May 2021

May 10, 2021

Congratulations to these ECE students who were recently inducted  into Phi Beta Kappa, the nation’s oldest academic honor society. Inductees are chosen based on exceptional academic performance and a letter of recommendation from a faculty or staff member. Particularly strong candidates are elected as juniors, the rest as seniors. (Note: many of these students are also completing majors outside the Hajim School.)

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Senior Design Day 2021

May 10, 2021

Please join the ECE department, Hajim School of Engineering, and the Class of ’21 in viewing the Senior Design and Capstone projects starting May 10, 2021 at:

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Gonzalo Mateos co-author of a paper selected for the 2020 IEEE SPS Young Author Best Paper Award

May 5, 2021

Gonzalo Mateos

Congratulations to Gonzalo Mateos, associate professor of electrical and computer engineering and Asaro Biggar Family Fellow in data science, who is co-author of a paper selected for the 2020 IEEE SPS Young Author Best Paper Award. The paper, by lead author Santiago Segarra, is entitled “Network Topology Inference from Spectral Templates,” originally published in IEEE Transactions on Signal and Information Processing over Networks, September 2017. The award will be presented during ICASSP'21 in Toronto, Canada.

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Gonzalo Mateos ‘connects the dots’ of complex networks

February 9, 2021

Gonzalo Mateos

How do you make sense of the millions, even billions of data points that represent the interactions of neurons across the human brain? Or the interconnections of our country’s vast, network of power grids? Or the rates of COVID-19 infections and hospitalizations as they surge in some parts of the country, but not others?

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Marvin Doyley puts priority on addressing underrepresentation

February 8, 2021

Marvin Doyley is accustomed to attending major conferences of electrical engineers where he is one of only a handful of black delegates.
“It doesn’t bother me now as much as it did before,” Doyley says. “Now, I am a senior member, I have worked my way up, people know me, we have common experiences to talk about. But I’ll be looking at someone else who is a minority just starting to come up, who will be standing at the back, hesitant to speak or ask questions.”
The professor of electrical and computer engineering at the Hajim School is now in a position to help address the underrepresentation of minorities and women in STEM fields.

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Kevin Parker Collaborating on a NIH Grant for Optical Coherence Tomography (OTC)

January 4, 2021

Kevin Parker

Kevin Parker, the William F. May Professor of Engineering and dean emeritus of engineering and applied sciences; Maiken Nedergaard, professor of neurology and neuroscience; and Jannick Rolland, the Brian J. Thompson Professor of Optical Engineering and director of the Center for Freeform Optics (also affiliated with the Materials Science Program), are collaborating on a $421,880 National Institutes of Health (NIH) grant. They will use optical coherence tomography (OCT) elastography, a high-resolution imaging modality, to perform bio-mechanical measurements in mice, showing the variations in the softness and stiffness of brain tissue over time that are associated with aging and neurodegenerative diseases such as Alzheimer’s disease.

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