School of Computing | faculty highlights

Freeman Receives NSF HCC Grant

August 19, 2021

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

June 22, 2021

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

June 14, 2021

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

June 14, 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.

Playing this game helps to reduce bias in society

April 2, 2021

Clemson Computing and Communication researchers aim to Reduce race and gender bias through diverse representation in videogames Clemson researchers have […]

It is Time to Make Technology More Older-Adult-Friendly

March 25, 2021

Clemson researchers demonstrate important differences in online privacy decision-making between older and younger adults Despite the vast benefits technology can […]

Can Machine Learning Help keep your Smart Home Privacy in Check?

March 18, 2021

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.

Facebook recognizes Dr. Bart Knijnenburg

February 10, 2021

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...

VE Group Has 3 Papers Accepted in Highly Selective IEEE VR 2021 Conference

February 8, 2021

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: Technology Enhances Teamwork

February 4, 2021

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.

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