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Kevin Gagnon Wins Algernon Sydney Sullivan Award

We proudly report that Kevin Gagnon has received the Algernon Sydney Sullivan award. This honor recognizes college students of noble character who have acted as humble servants to others by putting service of others before self-interest. The award is presented each year by more than 70 colleges and universities within the American South. At the University of South Carolina, the award is presented each year to the most outstanding senior female and senior male student. You can learn more about Kevin here and here.

Scholarship Deadline Extended

The deadline to apply for the CSE Department’s John H. Fain Scholarship has been extended to June 1. This scholarship is for upper division Computer Information Systems (CIS) and Computer Science (CS) majors planning to become entrepreneurs. Interested applicants must thoroughly read criteria for the award; if they meet the initial criteria, then they must complete and submit the John H. Fain Scholarship Application by June 1. View criteria and application here

Dr Rekleitis Receives NSF CAREER Award

We are proud to announce that Dr. Ioannis Rekleitis has received the National Science Foundation (NSF) CAREER Award for his project titled "Enabling Autonomy via Enhanced Situational Awareness for Underwater Robotics". This is the NSF's most prestigious award in support of early-career faculty who have the potential to serve as academic role models in research and education and to lead advances in the mission of their department or organization. See also a more detailed article about this.

Alireza Nasiri, Jing Jin and Steph-Yves Louis Win Big Data Award


We congratulate our CSE Ph.D. students: Alireza Nasiri, Jing Jin and Steph-Yves Louis from the Machine Learning and Evolution Lab directed by Dr. Hu for winning the second place and $2,000 prize in the Big Data Health Science Case Competition organized by the UofSC National Big Data Health Science Conference, Columbia, SC February 7th-9th 2020. The objective of the case competition is to develop a machine learning or data analytic tool that will accurately identify the culprit chemical for a given patient.

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