Depend Group alum Homa Alemzadeh has been awarded the William C. Carter PhD Dissertation Award in Dependability which is given by the IEEE Technical Committee on Dependable Computing and Fault Tolerance and the IFIP Working Group 10.4 on Dependable Computing and Fault Tolerance. It has been presented annually since 1997 to recognize an individual who has made a significant contribution to the field of dependable computing through his or her graduate dissertation research. Homa will receive this honor at the 47th IEEE/IFIP International Conference on Dependable Systems and Networks (DSN2017).
Big data analytics has endless possibilities in health care. Through data analysis, scientists can determine subtypes of diseases, as well as how drug treatments will influence individual patient prognoses. Arjun Athreya, a CSL PhD student in electrical and computer engineering, works at the forefront of this precision medicine work with Mayo Clinic.
His research is part of the Mayo-Illinois Alliance, which combines researchers from the University of Illinois and Mayo Clinic to promote a broad spectrum of collaborative research for the development of new technologies and clinical tools for individualized medicine. Athreya, advised by CSL’s Ravi Iyer, works with Mayo Clinic researchers and data to advance several areas of precision medicine, including breast cancer, depression, and diabetes treatment.
Arjun Athreya was awarded the 2017 Rambus Computer Engineering Fellowship from the Department of Electrical and Computer Engineering. Dr. Michael Farmwald donated stock from Rambus, Inc. to the University of Illinois to be used to provide funds for the Department of Electrical and Computer Engineering. The Rambus Computer Engineering Fellowship has been established to recognize a graduate student in the Computer Engineering Area for outstanding research. This fellowship is a $5,000 fellowship for one year.
July 2015: The DEPEND group and collaborators at Purdue University, led by Prof. Saurabh Bagchi, were awarded a new NSF grant to investigate Computer System Failure Data Repository to Enable Data-Driven Dependability.