Description South Carolina Biomedical Data Science and Informatics program seeks to fill a new NLM training grant-funded postdoctoral position. We are an interdisciplinary program co-led by the Medical University of South Carolina and Clemson University. Post-doctoral fellows will receive team mentorship from faculty with a wide range of academic and clinical expertise, along with additional support for […]
School of Computing
Dr. Olivia Nche accepts a teaching position at Presbyterian College
Dr. Olivia Mambo Nche, originally from Cameroon, Africa, is interested in instructional technology and innovative ways of teaching programming to young learners. She graduated from the School of Computing at Clemson University with her Ph.D. in Human-Centered Computing in Summer 2021. Her dissertation involved designing and experimenting with a video game aimed at teaching basic programming concepts to K-12 students. […]
Freeman Receives NSF HCC Grant
Dr. Guo Freeman, Assistant Professor of Human-Centered Computing, receives a $399,785 HCC Small grant from the National Science Foundation (NSF). This three-year project investigates how people experience harassment in new and potentially disruptive ways in nuanced online social spaces to design novel and safer social technologies to protect them, promote trust among users, and mitigate emerging online risks.
Professor Ge’s research lab won the Best Paper Overall Award at ICS’21
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.
Tessendorf mentioned on VFX Firsts podcast
VFX Firsts is a weekly podcast that looks at movie milestones. On a recent edition titled “VFX Firsts: What was the first ocean simulation in a film?”, the host mentions Jerry Tessendorf, Professor of Visual Computing, and his work on the film Waterworld.
Professor Yang Storms SIGGRAPH 2021
Professor Yin Yang co-authors three SIGGRAPH papers that will appear in ACM’s premier conference in graphics and interactive techniques, spanning topics of simulation contact, model reduction, and rendering. A fourth paper will also be presented, as an ACM Transactions on Graphics (TOG) paper.
Former Clemson Computing student Michael Payne promoted to Lead Data Engineer
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.
Playing this game helps to reduce bias in society
Clemson Computing and Communication researchers aim to Reduce race and gender bias through diverse representation in videogames Clemson researchers have developed a short 2D videogame with an important societal purpose. The research by recent Human-Centered Computing Ph.D. graduate Marie Jarrell and co-authors Reza Ghaiumy Anaraky, Dr. Bart Knijnenburg, and Dr. Erin Ash demonstrates how changing […]
It is Time to Make Technology More Older-Adult-Friendly
Clemson researchers demonstrate important differences in online privacy decision-making between older and younger adults Despite the vast benefits technology can provide to older adults, older adults’ tech usage is–by far–below other populations. The popular opinion is that they are not tech-savvy and cannot keep up with the fast-paced of technology. Researchers at the School of […]
Can Machine Learning Help keep your Smart Home Privacy in Check?
Smart Home devices like smart lights, thermostats, and doorbells are gaining popularity because of the connected and automated experience they render to their users. This user experience is made possible by collecting and processing data about end-user behaviors. As this data is deemed sensitive and intimate, users tend to demand fine-grained control over their privacy preferences. But are users equipped to exert such a detailed level of control over their Smart Home devices?
HATLab researchers Dr. Bart P. Knijnenburg, Ph.D. student Paritosh Bahirat and Dr. Yangyang He (Alumnus) joined hands with Dr. Martijn Willemsen and Dr. Qizhang (Kevin) Sun from TU Eindhoven’s (Netherlands) Process Tracing Lab to answer this very question.
