Dr. Song Wang has received a research grant from Universal Technology Corporation (UTC)/ Air Force Research Laboratory (AFRL) to work in his project is entitled "Integrated Feature Detection and Tracking from Microscope Images of Composite Materials". You can learn more about their research by visiting his Computer Vision Lab website.
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Dr. Rekleitis received a 2018 Breakthrough Star award for his research in robotics. The Breakthrough "family" of awards are presented each year by the Office of the Vice President for Research to recognize outstanding researchers and scholars at the University of South Carolina. The Breakthrough Stars and Leadership in Research awards programs honor our outstanding faculty research leaders.
During October 16—19 the CSE Department will be moving to the new M. Bert Storey Engineering and Innovation Center building. The second floor will house CSE faculty offices, research labs, and the main office. The first floor will house additional research labs and a large (70-capacity) classroom. With the Integrated Information Technology department on the first floor and IBM on the third floor, the Storey Innovation Center will become the hub of all Computing and IT for USC.
We are happy to welcome Dr. Lannan (Lisa) Luo to the Department. Dr. Luo received her PhD from Penn State University. Her research mainly focuses on software and systems security, including mobile security, IoT security, malware analysis, vulnerability analysis, programming languages, software engineering, and deep learning. She is teaching CSCE 813: Internet Security and recruiting Ph.D. students, master students, summer interns, and visiting scholars to join her lab.
We are happy to welcome Dr. Yonghong Yan to the faculty of the CSE department. Dr. Yan received his PhD. from the University of Houston. His research research interests focus on parallel and high performance computing, parallel programming models and compilers, computer architectures and systems. He will be teaching CSCE 790, a graduate special topics course, this semester for any graduate students interested in learning about parallel and high performance computing.
This scholarship is awarded to rising sophomores or juniors in any College of Engineering and Computing program who have a strong interest in the Savannah River Site and the Savannah River National Laboratory. SRNL Scholars may receive up to $4,000 a year for up to two years. All full time, upper division students are eligible to apply. Applicants must have authorization to work in the United States on a full-time basis for other than training purposes (student/temporary visas do not qualify). Deadline is August 1. See the SRNL Scholarship page for more info.
We are proud to announce that De'Aira Bryant and Blakeley Hoffman have each been awarded a GEM National Consortium Fellowship. Both Bryant and Hoffman were selected by Adobe Systems Incorporated, where they will complete the internship component of the fellowship. The GEM program seeks to enhance the value of the nation's human capital by increasing the participation of underrepresented groups at the master's and doctoral levels in engineering and science. The fellowship provides a stipend, tuition assistance, and a paid summer internship in 2017. More than 4,000 GEM Fellowships have been awarded since the program's inception 41 years ago.
Dr. Hu has collaborated with Professor Xiaoming Li (PI) in Health Promotion, Education & Behavior and other USC faculty members to secure an NIH Funded project entitled "Big Data Analytics of HIV Treatment Gaps in South Carolina: Identification and Prediction" and is funded by National Institute of Allergy and Infectious Diseases (NIAID)/NIH.
Dr. Yan Tong has received a research grant award from the Electric Power Research Institute (EPRI) for "NSF-EPRI: Innovative and Ultra-efficient Evaporators to Realize Cost-effective Desalination”. This project aims to relieve the water-energy-food issues facing the US and the world by substantially reducing the cost of sea water desalination, making it possible to obtain massive freshwater from seawater. Yan's group will develop a fully automatic vision-based technique to detect droplets and to estimate the individual droplet departure frequency and size by non-rigid image registration and onsite-calibration. This vision-based technique is essential to reduce massive data from high-speed optical images to assure a consistent data reduction process.