Visvesh Sathe, a Center for Neurotechnology member and associate professor in electrical and computer engineering at the University of Washington, conducts research in a variety of areas applicable to circuits and architectures for low-power computing and biomedical systems. His work is always on the cutting edge of technology development and often holds potential for widespread human impact.
Feature Stories
These articles cover many different aspects of the Center for Neurotechnology and its faculty, student and staff members. For more stories, visit the Engage and Enable blog

Neurodiverse learners are defined as those with academic challenges related to conditions such as dyslexia, attention deficit hyperactivity disorder and autism spectrum disorder. Traditionally, these conditions have been seen primarily as disabilities, but times are changing, and more people, companies and organizations are beginning to recognize the unique strengths of those with neurodiverse conditions and characteristics.

What is it like as a woman to prepare for and enter a science and engineering workforce where men hold almost 70% of available jobs? What are the challenges a person will face intrinsic to that environment? How can one face those difficulties and overcome them?

Chris Rudell and Vivesh Sathe have vision. Together, with graduate students in their labs at the University of Washington Department of Electrical & Computer Engineering (UW ECE), they have designed a sophisticated neural interface in the form of a small, implantable chip. This chip is designed to help neuroscientists deepen their understanding of the brain and promises to take engineers one step closer to developing more effective devices to treat neurological disorders and conditions such as Parkinson’s disease, epilepsy, depression and obsessive-compulsive disorder. Looking ahead, they developed the chip to be scalable and translatable into future technologies for decades to come.

Center for Neurotechnology (CNT) member Amir Alimohammad, an associate professor of electrical and computer engineering at San Diego State University (SDSU), was recently awarded a three year, $320,000 grant from the National Science Foundation to develop a novel processor architecture for brain-computer interfaces. The award will be funding work with potential for profound and long-term human impact.
“The primary application of the energy-efficient brain-implantable neural signal processor in development is to improve the rehabilitation of people disabled by a variety of disorders such as stroke and spinal cord injuries. This has the potential to improve the quality of life for millions of patients,” Alimohammad said.
