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Labs & Groups

Applied Algorithms Group

Brian Dean

The applied algorithms group studies the theory and practice of algorithmic computer science, as well as in computing education efforts for these areas. We pursue fundamental research broadly in algorithmic theory in areas such as optimization, data structures, randomization, and large-scale data analytics. On the applied side, we collaborate extensively with domain experts to investigate applications of algorithmic computing in a number of areas, primarily in areas of biomedical informatics.

Big Data Analytics Lab

Feng Luo |

Big data analytics. Deep learning. Data-intensive bioinformatics. Computational genomics. Security.

Character Animation and Motion Perception Lab

Sophie Joerg

Focuses on understanding how people perceive and interpret human-like motions and on developing new algorithms to create and animate virtual characters more easily and realistically. Clemson University houses a state-of-the-art 14-camera optical motion capture system for research on character animation and motion perception.

Countenance Lab

Eric Patterson |

The Countenance Lab focuses on the intersection of humanity and technology by considering the face as the primary means of interaction. A variety of disciplines including graphics, animation, computer vision, pattern recognition, machine learning, and biometrics as well as psychology, visual effects, filmmaking, and others are studied, integrated, and further developed to increase knowledge and understanding as well as improve interactive computing technologies.

Data-Intensive Computing Ecosystems (DICE) Lab

Amy Apon | Alex Herzog

The DICE lab facilitates collaboration with other scientific disciplines and industries to develop data-intensive and data-enabled applications.
Applications: The DICE lab facilitates the collaboration with other scientific disciplines and industry to develop data-intensive and data-enabled applications
Operations: A significant part of working with Big Data is to understand how to deploy, monitor, and tune data-intensive systems
Architectures: An end-to-end data-intensive platform is composed of a set of well-designed and well-integrated hardware and software components including storage systems, network interconnects, file systems, and analytical modules.

Design and Research of In-Vehicle Experiences Lab (DRIVE)

Julian Brinkley |

In the Design and Research of in-Vehicle Experiences Lab, our goal is to contribute to the future development of human-centered transportation technologies through theoretical and applied research. Our ongoing research involves the study of the user experience in partially/highly/fully automated vehicles, perceptive and adaptive advanced driver assistance systems, and the accessibility of transportation technology for persons with disabilities. Beyond our transportation research, we also actively investigate how technology may be leveraged to improve human life and address societal ills. This research has, at times, involved the study of how mobile applications may be used to enhance police and community relations, the study of online social networking sites, and the development and evaluation of purpose-built systems design to improve the lives of persons with disabilities.

Digital Production Arts Lab

The Digital Production Arts (DPA) program supports the technology-based, electronic arts industry including visual effects and animation production for the film, electronic games, and commercial video industries. The DPA program offers two degrees, the Master of Fine Arts and the Master of Science.



Disruptive mindsets and technologies wanted! Data Ethics | Timeseries Analysis| Graph Mining |Deep and Transfer learning | Medical and Health Applications | Disaster prediction | Human Digital Twin

EyeCU: Eye-Tracking Lab

Andrew Duchowski |

Eye Tracking Lab houses state-of-the-art tracking equipment for research on gaze capture, analysis, and interaction. Research includes diagnostic (visual attention distribution) and interactive (gaze-contingent display) applications.

Gaming and Mediated Experience Lab (CUGAME)

Guo Freeman |

The CUGAME Lab uses a human-centered approach to investigate mediated experience and social dynamics forged surrounding technological objects and collaborative systems including multiplayer online games, eSports, live streaming, VR/AR, social media, IoT, and smart city. We are especially interested in technology-mediated communication and participation in various contexts (e.g., entertainment, education, workplace, design, criminal justice, and medicine), computer-mediated interpersonal relationships and group behaviors, digital creativity, and collective innovation.

High-Performance Computing Enabled Science and Engineering Lab (HPCESE)

Shuangshuang Jin

The HPCeSE Lab builds a bridge between the fields of computer science and other disciplines by providing efficient high-performance computing (HPC)-based solutions (e.g., distributed and parallel computing, GPGPU, big data analysis, machine learning, and scientific visualization, etc.) to pressing scientific and engineering domain problems such as power system simulation, biological network modeling, and advanced grid analytics.

Humans and Technology Lab (HATLab)

Kelly Caine | Bart Knijnenburg |

The HATLab is a multidisciplinary space where students, faculty, and researchers come together to investigate all aspects of humans’ interactions with technology. In particular, we are interested in human-centered computing, human factors, human-computer interaction, health informatics, usable privacy and security, privacy-enhancing technologies, empirical methods, and designing for special populations.

Human Factors Software Engineering Group

Paige Rodeghero |

The lab focuses its efforts on improving the productivity of software engineers. By studying human behavior, the lab is able to build and modifying existing tools to improve the productivity of development, maintenance, and collaboration. In their research, the lab uses a variety of tools and techniques that are commonly found in HCI, VR, sociology, and psychology.

Interactive Data Analysis and Visualization Lab (iDAVIS)

Federico Iuricich

The Interactive Data Analysis and Visualization lab focuses on the development of new interactive tools to enhance people’s ability to explore and understand scientific data. Our research interests include scalar field and multivariate data analysis, time-varying data analysis, topological data analysis, multiresolution modeling, and spatial data structures.

L.A.U.G.H.I.N.G. Lab

Jerry Tessendorf

The Laboratory for the Advancement, Understanding, and Generation of High Impact Natural Graphics pioneers state-of-the-art graphics research on topics in volumetric modeling, simulation, and rendering. This research usually finds applications in the production of cutting-edge visual effects in feature films.

Motion Planning Lab

Ioannis Karamouzas

The lab focuses on the development of motion planning algorithms for autonomous robots, multi-agent systems, and crowds of virtual characters, conducting interdisciplinary research in the areas of AI, robotics, and computer graphics.

Multimedia & Informatics Lab

James Wang | Pradip Srimani | Feng Luo

Multimedia and Informatics Lab works on challenging core computer science problems as well as complex interdisciplinary research problems. Our research interests include distributed computing, storage systems, P2P, cloud computing, information retrieval, bioinformatics, wireless networks, multimedia systems, web technologies, and data mining.

Network and System Security Lab (NSS)

Long Cheng

Network and System Security Lab strives to develop effective solutions to address realistic security issues created by today’s emerging technologies/domains including Internet of Things (IoT), deep learning, edge computing, 5G, Software-Defined Networking (SDN), Network Function Virtualization (NFV), mobile computing, cloud computing, and big data.

Networking and Security Lab (NetSec)

Jim MartinLong Cheng |

NetSec Lab’s mission is to support cutting-edge research in networking and cybersecurity, train researchers to address the needs of the changing world, and engage undergraduate students in projects that offer the opportunity to “change the world”.
Projects: Heterogeneous Wireless Systems & and Software-Defined Wireless Networks; CyberTiger: Engaging Undergrads in Internet Related Research; SciWiNet: Wireless Infrastructure for the Academic Community; Broadband Access Networks, Gaming and Video Streaming Quality of Experience Assessment; FlowGuard: Building Robust SDN Firewalls; Security Policy Management for SDNs; Risk Assessment and Mitigation of Mobile Applications

PERSIST (PERvasive Sensing and In Situ Technologies)

Jacob Sorber |

Low-cost, sustainable, and easily deployable technologies for small computational things in a mobile and unpredictable world.
Interests: Batteryless computing: long-term success in spite of frequent failures; Energy: harvest, conserve, adapt, and emulate; The Internet of Things: scalable, maintenance-free devices; Applications: ecology, mobile health, smart cities, and more; Making: we support the Clemson maker community

RESOLVE Software Research Group (RSRG)

Murali Sitaraman |

The RESOLVE research effort is one of the longest-running software engineering efforts in the USA. It spans foundational, practical, and educational aspects of software engineering and computing. The overall RESOLVE verification vision is that of a future in which no production software is considered properly engineered unless it has been fully specified, and fully verified as satisfying these specifications.

Scalable Computing and Analytics Laboratory (ScaLab)

Rong Ge | Xizhou Feng

The ScaLab develops models, software, and system prototypes that allow computer-, data-intensive, and machine learning workloads to efficiently utilize modern computing, storage, and networking technologies at scale and address concerns of poor performance scalability, energy inefficiency, and faults. Our research covers various aspects of a wide spectrum of computer systems include data centers, edge computing, mobile devices, and the Internet of things. More recently, we investigate how to better support deep learning workloads on various systems including scalable distributed deep learning in data centers and resource-aware deep learning and interference on mobile and other battery-powered systems.

Tangible Visualization Group

Brygg Ullmer

Our group investigates cyber-physical interfaces for engaging with diverse computational systems. The physical editions of our interfaces incorporate diverse display elements (e.g., electronic paper, addressable LEDs, and physical actuation); sensors (e.g., capacitive, optical, magnetometer); and fabrication technologies (e.g., 3D printing, lasing, and CNC knives). Our virtual editions employ multitouch GUIs, VR, and other approaches. Example cyber-physical elements include special “challenge” coins, pages, books, and portals. Many of our applications engage ICy STEAM (interactive computational science, technology, engineering, arts, and mathematics) – especially computational genomics – while also engaging broader topics and impacts.

Team Research Analytics in Computational Environments (TRACE) Research Group

Nathan McNeese

The TRACE Research Group focuses on the intersection of teamwork and artificial intelligence with a particular focus on team behaviors in human-AI teaming, ethics in human-AI collaboration, and the development/design of human-computer interfaces for human-AI teaming tools and systems.

Virtual Environments Group

Sabarish Babu | Andrew Robb |

The Virtual Environments Group imagines, designs, builds and evaluates software and technology for all types of virtual environments.  Our interests include Immersive Virtual Reality, Virtual Humans, Online Virtual Worlds, 3D User Interface Design, Multi-Modal Interfaces, Conversational Agents, and Clinical Virtual Environments for Teaching and Training.

Visual Computing Lab (VCL)

Daljit Singh Dhillon | Andrew Duchowski | Sophie Joerg | Federico Iuricich | Ioannis Karamouzas | Eric Patterson | Jerry Tessendorf | Yin Yang | Victor Zordan

Visual Computing focuses on the acquisition, processing, and synthesis of visual information including the broad areas of computer graphics, visualization, perception, and robotics.