We congratulate Hunter Damron for receiving an Honorable Mention for the Computing Research Association's (CRA) Outstanding Undergraduate Researcher Award for 2020. This award program recognizes undergraduate students in North American colleges and universities who show outstanding research potential in an area of computing research.
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We are happy to announce that Dr. Song Wang has received research awards for two different projects: "SnowVision: A Machine Learning-Based Image Processing Tool for the Study of Native American Paddle Designs" is funded by the SC Department of Natural Resources (SCDNR)/NEH, and "Dendroid Core Detection and Tracking for Directionally Solidified Ni-Based Alloys" is funded by UES, Inc./AFRL/DOD .
We are excited that Dr. Amit Sheth has joined us this Fall and brought with him the Artificial Intelligence Institute. The institute, created under the recent excellence initiative, is led by Prof. Amit Sheth, a researcher, educator and entrepreneur. With a proven leadership record of creating world-class research centers and funding record (> $33 million), Sheth launched three companies by licensing his university-developed technologies and advised 30 PhDs who now have highly successful careers in academia, industry research and entrepreneurship.
We are happy to welcome a new faculty member, Dr. Ramtin Zand, this Fall. He received his Ph.D. in Computer Engineering from the University of Central Florida. His research interests involve Hardware Design for Machine Learning Systems, Neuromorphic Computing, Emerging Nanoscale Electronics including spintronic devices, Reconfigurable and Adaptive Computer Architectures, and Low-Power and Reliability-Aware VLSI Circuits. His office is Room 2211 at the Storey Innovation Center.
This is Dr. Matt Thatcher, Professor and Chair of the Department of Computer Science and Engineering. I want to make you aware of an excellent opportunity available to you – the Bachelor’s/Masters Accelerated Program.
This is a combined B.S./M.S degree program available to undergraduate students in Computer Science and Engineering (CSE) with 90 or more hours earned toward their baccalaureate degrees. Students accepted into this program must have a minimum overall GPA of 3.40 and at least 3.40 in the course work taken in CSE. Up to 12 credit hours at the 500 level or above may be applied toward both the B.S. and M.S. degree requirements; this means that with one additional year of study you will leave USC with both a B.S. and an M.S. degree!