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.
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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!
The Artificial Intelligence (AI) Institute (http://ai.sc.edu) is a new university-wide institute engaged in core AI research, as well as high-impact interdisciplinary research involving AI implementations and applications. It is an outcome of the university’s Presidential Excellence Initiative, which seeks to bring national prominence to our college and university through AI research and its economic impact.
Please congratulate Austin Downey (PI) and Jason Bakos (Co-PI) for receiving a collaborative NSF grant. This is a collaborative grant with Iowa State University and UofSC is the lead institution. Austin Downey (PI) is from Mechanical Engineering and Jason Bakos from Computer Science and Engineering. The project is titled "A Programming Model and Platform Architecture for Real-time Machine Learning for Sub-second Systems".
We are happy to report that Dr. Jianjun Hu, along with collaborators Qi Wang (PI), Sophya Garashchuk, Linda Shimizu, and Chuanbing Tang, have received a research award from the Department of energy for their project titled "Data-science enabled investigation of the mechanisms for multiscale ion transport in functional electrolytes and for the radical generation in crystalline assemblies".