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The left panel shows a raw image of Xenopus embryo tissue. This tissue is well-known to be extremely scattering, which is evident by the fact that we cannot resolve any structures in the raw image. The right panel shows the result of our computational scatter-correction method, which drastically improves imaging capability. After scatter-correction, cellular boundaries, nuclei, and yolk platelets can be clearly identified with subcellular resolution.

Published at Dell Medical School Visionaries Your brain can be taught to signal a computer. If José del R. Millán has his way, brain-computer interfaces will one day make wheelchairs obsolete. Ten years after his stroke, a man paralyzed from the waist down starts “walking,” operating an exoskeleton with his mind. Researchers led by José del R. Millán, Ph.D., study the electrical activity of the man’s brain indicating when he wants to use the robot to take a right step versus a left one. 

WNCG faculty member Jon Tamir has been named among the inaugural cohort of Oracle Research Fellows. The Oracle Research Fellows program identifies potentially transformative research proposals from current and future research luminaries, and provides them with the funding, Oracle Cloud computing and collaborative opportunities they need. Tamir will work to develop fast, standardized MRI reconstruction methods for faster and cheaper diagnosis and monitoring.

This news feature is part of Dell Med's Voices, a series of profiles that highlight the people of Dell Med as they work to improve health with a unique focus on our community. How can a computer help someone regain motor function? José del R. Millán, Ph.D., a professor in Texas ECE and the Dell Medical School Department of Neurology, tackles this question as he designs brain-computer interfaces that empower people to surpass their limits. Q&A WHAT’S THE PROBLEM YOU’RE TRYING TO SOLVE, AND HOW DID YOU COME TO RECOGNIZE IT?

First-year graduate student Joshua Ebenezer has received the Nilanjan Ganguly Memorial Award for his undergraduate thesis on haze- and fog-affected images and videos. The award designates the “best B.Tech thesis in the Electronics & Electrical Communication Engineering Department” at IIT Khargapur and is given annually to a single student. The award also includes a cash prize for the recipient from the Ganguly family. 

WNCG alumnus Prof. Siddhartha Banerjee has been named a recipient of the National Science Foundation Early Career Development Program (CAREER) Award. Banerjee received his doctorate from Texas ECE in 2013. As a member of WNCG, he was advised by Profs. Sanjay Shakkottai and Sujay Sanghavi. He is currently an Assistant Professor of operations research and information engineering at Cornell University, and he also serves as a technical consultant for popular rideshare service Lyft.

Evdokia Nikolova, Assistant Professor in Texas ECE, has received a National Science Foundation (NSF) grant for her work on "AitF: Collaborative Research: Algorithms and Mechanisms for the Distribution Grid.”  The goal of this project is to “help the distribution grid and its participants transition from its current functionality of serving mostly traditional consumers, to the future grid that needs to sustainably integrate prosumers, renewables and distributed energy resources.”