School of Computing

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.

HCC PhD Student Schulenberg Received Graduate Fellowship and Dean’s Fellowship

Incoming HCC Ph.D. student Kelsea Schulenberg has been awarded both the Clemson Graduate Fellowship and the CECAS Dean’s Fellowship. Kelsea is currently pursuing a Master of Arts in Communication, Technology, and Society (MACTS) at Clemson and will start her Ph.D. study in HCC in Fall 2021. Kelsea’s research focuses on how computing technology can be […]

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

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

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.

CECAS Employee Honoree Adam Rollins

Faculty and students in the School of Computing say that our next honoree has made their lives easier. He plays a critical role in connecting incoming graduate students with faculty members. He has gone above and beyond by establishing an application tracker that allows faculty to efficiently review applications, share notes, and score applicants to […]

Amazon and Google Teams Recognize Voice Privacy Policy Research

A comprehensive privacy policy analysis of voice applications on Amazon Alexa and Google Assistant platforms by Clemson researchers has received recognitions from both Amazon Alexa and Google Assistant teams. The results show that a substantial number of problematic privacy policies exist in these two mainstream voice assistant platforms. Google awarded the team a bug bounty for reporting the discovery.

Lossy Compression Research Helps Supercomputers Communicate Faster

Computer Science PhD student Robert Underwood is tackling the critical problem of moving and storing the ever growing volume of data produced in things like physics and climate simulations, intelligent transportation systems, and medicine, by using compression to reducing the volume of data as it is moved and stored. His work makes a type of […]

School of Computing Presents Minchen Li

Robust and Accurate Simulation of Elastodynamics and Contact School of Computing presents Minchen Li, University of Pennsylvania Friday, Nov 20, 2020 at 2:30-3:30 pm Minchen Li (https://www.seas.upenn.edu/~minchenl/) is a Ph.D. candidate at the University of Pennsylvania advised by Prof. Chenfanfu Jiang. His research interests include numerical optimization and simulation for computer graphics and beyond, especially physics-based animation and geometry processing. […]