A. Richard Newton Graduate Scholarship awarded to Cochran and Nowroz

The Design Automation Conference (DAC) Executive Committee awards this scholarship named after the late Professor A. Richard Newton. DAC feels that supporting young faculty and graduate research is an appropriate way to honor Newton's vision and carry out some of his goals. This year the Design Automation Conference chose only Brown amongst the 20 submitted proposals for the $24,000 scholarships to support graduate research and study in Design Automation (DA), with emphasis in “design and test automation of electronic and computer systems”.

Pictured left to right: Cochran, DAC Official, Reda, and Nowroz

2010 Recipients
Students: Ryan J. Cochran, Abdullah N. Nowroz - Brown Univ., Providence, RI
Project: Adaptive Hot Spot Cooling for Many-Core Processors
Advisor: Sherief Reda – Brown Univ., Providence, RI

Biography information:

Ryan J. Cochran first came to Brown University from West Chester, PA as an undergraduate student in engineering, and graduated with Honors in the spring of 2008 in Electrical Engineering. He returned to Brown as a M.Sc. student in the fall of 2008, but has since decided to continue his studies as a Ph.D. student in Electrical Engineering at Brown. Ryan's principal research areas include thermal modeling, management, and tool development for current and future nano-scale integrated circuit technologies. Since 2009, Ryan has 4 refereed conference papers in his research area, including a best paper nomination in ISLPED 2010.

Abdullah Nazma Nowroz was born in Newcastle Upon Tyne, United Kingdom and grew up in Bangladesh. She graduated Summa Cum Laude in Electrical Engineering from Boston University in 2006. In 2007, she decided to come back to academia after working in Bangladesh for one year and completed her Masters in Electrical Engineering VLSI from University of Southern California. At present, she is working in the SCALE lab, where she works on designing many innovative techniques towards effective management of temperature, power, and performance of many-core processors. Projects include devising thermal sensor allocation techniques and signal reconstruction techniques that fully characterize the thermal status of the processor using limited number of measurements from the thermal sensors. Her research also includes techniques that provide detailed post-silicon power characterization using thermal emissions from the backside of silicon die using state-of-the-art infrared camera.