"AI researchers like me are now turning our efforts toward developing AI algorithms that can explain themselves in a manner that humans can understand. If we can do this, I believe that AI will be able to uncover and teach people new facts about the world that have not yet been discovered, leading to new innovations." Read the full article at The Conversation, written by Dr. Agostinelli.
Dr. Amit Sheth has been named one of the 2020 ACM Fellows. The ACM Fellows program recognizes the top 1% of ACM Members for their outstanding accomplishments in computing and information technology and/or outstanding service to ACM and the larger computing community. Fellows are nominated by their peers, with nominations reviewed by a distinguished selection committee.
More information at the ACM Fellows website. See also Sheth named a Fellow by the Association for Computing Machinery.
We are pleased to announce that Dr. Lannan (Lisa) Luo was awarded the College of Engineering and Computing Young Investigator Research Award. This award is provided annually to an untenured, assistant professor in recognition of her dedication and contributions to the research objectives of the College of Engineering and Computing.
The 2020 CSE departmental awards are based on evidence from CY2019 Annual Evaluations and data provided by the college. They are:
Junior Researcher (Assistant or Associate Professor) Award: Pooyan Jamshidi
Senior Researcher (Full Professor) Award: Amit Sheth
Undergraduate Teaching Award: Jose Vidal
Graduate Teaching Award: Song Wang
Service Award: Jason O’Kane
Most Valuable Professor (MVP) Award: Csilla Farkas
Pooyan Jamshidi had an excellent year with a strong combination of research expenditures, new research awards, new funding proposals, and refereed publications.
Amit Sheth also had an excellent year as he continued to build the AI Institute; he had an excellent combination of research expenditures, new research awards, new funding proposals, and refereed publications – all of which were among the highest in the department.
Jose Vidal continues to make substantial and invaluable contributions in undergraduate teaching – including teaching our huge capstone courses, leading the Undergraduate Committee, handling undergraduate student requests (e.g., overrides, course substitutions, prereq waivers), and contributing to the department’s ongoing ABET efforts.
Song Wang receives excellent teaching evaluations for his graduate-level courses. He also manages a large research group (~10 Ph.D. students) and spends a lot of time and effort leading that group. He has also graduated several doctoral students.
Jason O'Kane has served so many critical service roles for the Department over the last few years including service as the CSE Associate Chair of Academics and as a junior faculty mentor; participation on the CSE Graduate Committee, CSE Qualifying Exam Committee, and CSE Assessment Committee; and representation of UofSC CSE at the Computing@SEC workshop. At the university level, he served as a member of the Carolina Judicial Council and as a Carolina Scholar mentor. Jason has done this and much more in support of the Department, College, and University.
Csilla Farkas has contributed substantially to all fronts – research, teaching, and service. She has a strong research record with substantial research expenditures and many refereed publications. She teaches critical cybersecurity courses at both the undergraduate and graduate levels with excellent course and instructor ratings. She also recently graduated 3.5 Ph.D. students (that is, she was the co-advisor of one student). Of course, Csilla’s service to the department, college, and university continues to be stellar.
Hark worked in the Office of Student Conduct after finishing his undergraduate degree in computer science in 2002. It was during this time that he saw a need for a better way of record keeping and data management. Shortly after leaving the office, Hark founded Maxient with his wife Candice. Hark said the couple didn’t know it at the time, but the company would soon grow to serve more than 1,000 colleges and universities by providing conduct management software for student discipline, academic integrity, care and concern records, Title IX matters and more. Read the full story here.
Dr. Biplav Srivastava, professor of computer science at the University of South Carolina, and his team have developed a data-driven tool that helps demonstrate the effect of wearing masks on COVID-19 cases and deaths. His model utilizes a variety of data sources to create alternate scenarios that can tell us “What could have happened?” if a county in the U.S. had a higher or lower rate of mask adherence. In this interview, he explains how the model works, its limitations and what conclusions we can draw from it.