Dr. Olivia Mambo Nche, originally from Cameroon, Africa, is interested in instructional technology and innovative ways of teaching programming to young learners. […]
Professor Rong Ge and her Ph.D. students Thomas Randall and Tyler Allen have won the Best Paper Overall Award at the ACM premier International Conference on Supercomputing 2021.
Michael Payne has been promoted to Lead Data Engineer on the Tickets Data Engineering team at Cirium. Michael will continue to be a contributor on the team but will take on additional responsibilities in people management and team organization. Michael holds a B.S. in Computer Science from the University of Arkansas at Pine Bluff, an M.S. in Computer Science from North Carolina A&T University. He was recruited into the Ph.D. program in Computer Science at Clemson in 2013, where he worked under the direction of Dr. Amy Apon.
Clemson Computing and Communication researchers aim to Reduce race and gender bias through diverse representation in videogames Clemson researchers have […]
Incoming HCC Ph.D. student Kelsea Schulenberg has been awarded both the Clemson Graduate Fellowship and the CECAS Dean’s Fellowship. Kelsea […]
Dr. Bart Knijnenburg recognized as “Academic of the Month” by Facebook Research. HCC (Human-Centered Computing) Ph.D. student Moses Namara awarded a Fellowship from the UC Berkeley Center for Technology, Society & Policy...
Graduate students Rohith and Roshan Venkatakrishnan, Dr. Sab Babu, and collaborators produced a paper titled, "Comparative Evaluation of Digital Writing and Art in Real and Immersive Virtual Environments." In this project the authors built a one-of-a-kind simulation to study how perception-action coordination and motor control affected digital writing, coloring, sketching, tracing, and drawing in VR and real-world situations.
Collective intelligence focuses on the ways in which technology can enhance teamwork by enabling groups of people to arrive at insights that escape the experts. Research in the School of Computing focuses on the intersection between collective intelligence and machine learning, specifically in the context of humans and AI working together as a team. The work combines unique and often creative insights that different configurations of human-machine teams can arrive at even in domains where the problems are too complex for the AI alone to solve.
Computer Science PhD student Robert Underwood is tackling the critical problem of moving and storing the ever growing volume of […]