The Data Storage Systems Center, in conjunction with Carnegie Mellon's Electrical and Computer Engineering Department and the IEEE Magnetics Society's Pittsburgh Chapter, hosted a special seminar this month featuring IEEE Magnetics Society Distinguished Lecturer Masahiro Yamaguchi. IEEE Distinguished Lecturers are engineering professionals who lead their fields in new technical developments that shape the global community. For the IEEE Magnetics Society, specifically, the distinguished lecturer exhibits excellence in the field of magnetics — not only in research, but also in developing the applied or technical aspects of the field — and outstanding communication skills. (Read more.)
University Professor of ECE Mark Kryder has received the California Institute of Technology's 2012 Distinguished Alumni Award for his lifelong contributions to perpendicular magnetic recording technology. The award is the highest honor the institute bestows. Since its inception in 1966, Caltech's Distinguished Alumni Award has been presented to outstanding alumni in the sciences, engineering, business and the arts for a particular achievement or series of achievements. Kryder, who joined the Carnegie Mellon faculty in 1978 and founded the university's Magnetics Technology and Data Storage Systems Centers in 1983 and 1990, respectively, earned both his master's degree and Ph.D. from Caltech. He will accept the award at a ceremony on Saturday, May 19, during Caltech's 75th annual Seminar Day. (Read more.)
ECE Professor Radu Marculescu, Ph.D. alumnus Umit Ogras (currently with Intel Corporation) and post-doc Paul Bogdan have earned the 2011 Donald O. Peterson Best Paper Award for their paper, "An Analytical Approach for Network-on-Chip Performance Analysis." The award, sponsored by the IEEE Council on Electronic Design Automation, recognizes the best paper published in Transactions on Computer-Aided Design of Integrated Circuits and Systems. (Read more.)
The Center for Bioimage Informatics (CBI) brings together faculty from engineering, biology and computer science to identify important biological and medical problems in which images are the primary data source; frame a solution to the problem using engineering and computer science principles; collect or obtain relevant images; identify criteria for evaluating success; implement the solution; evaluate and disseminate the results.
Welcome to Electrical and Computer Engineering, a department of the College of Engineering at Carnegie Mellon University.
We offer several levels of study, all nationally recognized for their excellence in the field of electrical and computer engineering.
We are currently accepting applications for several faculty positions, both research and tenure-track. Visit our employment page for more information.
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