Sayyed Sina Miran, a graduate student in ECE and ISR, is one of approximately 80 winners of the University of Maryland Graduate School's 2016–2017 Outstanding Graduate Assistant Award. The award recognizes the outstanding contributions that graduate assistants provide to students, faculty, departments, administrative units and the university as a whole. Winners of the award are among the top 2 percent of GAs on campus in a given year. The awards will be given at the annual Fellowship and Award Celebration on May 11.
Miran is advised by ISR-affiliated Assistant Professor Behtash Babadi (ECE). His research is in computational neuroscience where he applies tools from statistical signal processing, compressed sensing, and machine learning to problems arising in neuroscience in order to develop mathematical models to explain the neural data for the purpose of information extraction.
Researchers part of two NSF Neural & Cognitive Systems grants worth more than $1.2 million
Dipankar Maity to receive Outstanding Graduate Assistant Award from UMD Graduate School
May 8, 2017