In the AI-based Sensing, Networking, and Data Services (AI-SENDS) lab, we are working on powering sensing, networking, and data-driven actuation networks with computational intelligence. The core of our research is developing predictive models and deep learning algorithms for smart AI-powered agents to perceive the environment and take informed actions based on their anticipated consequences. My vision is applied research, and we work with domain researchers from different expertise to apply the developed technology to various application domains. Examples of our research include: (i) developing AI-enabled wireless networking protocols for unmanned aerial systems to accommodate scarce data distributions, traffic mobility, and constrained resources, (ii) developing a safety analysis framework for regular and self-driving cars to extract the overall safety of traffic flow from augmented video and time-stamped crash data, (iii) developing image-based security solutions to leverage fabrication variability of nano-resolution optical identifiers for securing supply chains and, (iv) developing aerial cyber physical systems for forest fire modeling and control. These projects involve concepts from information theory, signal processing, big data analysis, Bayesian inference, deep learning, graph theory, digital holography, and dimension reduction techniques. Feel free to email me if you want to learn more about our projects.
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.
Feng Luo | bigdata.clemson.edu
Big data analytics. Deep learning. Data-intensive bioinformatics. Computational genomics. Security.
Eric Patterson | countenance.cs.clemson.edu
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.
CUSecLab strives to develop effective solutions to address realistic security issues created by today’s emerging technologies/domains including Internet of Things (IoT), Cyber Physical Systems (CPS), deep learning, edge computing, 5G, mobile computing, and cloud computing. We also conduct interdisciplinary research focused on detecting online abuse in social media platforms.
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.
Julian Brinkley | drivelab.org
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.
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
The Enhancing Quality of Life and Inclusion through Technology Lab takes takes a human-centered approach to research the design of technologies to extend and enhance human abilities, with a particular focus on technologies to address societal inequity, improve individual's quality of life, and increase inclusion.
Andrew Duchowski | eyecu.ces.clemson.edu
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.
Guo Freeman | computing.clemson.edu/cugame
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.
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.
At the Human-AI Empowerment Laboratory (HAIE Lab), our primary endeavor is to fuse the principles of Human-Centered Artificial Intelligence with the design of AI-powered tools that help individuals reach their goals. With a steadfast commitment to a Use-Inspired AI approach, we explore the various domains where AI can make significant impacts in ethical, safe, and value-aligned contexts. This includes optimizing machine learning models informed by human feedback, thus improving system performance in a human-centric manner. We delve into the social implications of AI tools, examining their trustworthiness, fairness, robustness, and transparency to ensure they operate for the collective benefit of society.
Kelly Caine | Bart Knijnenburg | www.hatlab.org
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.
Paige Rodeghero | clemsonhfse.com
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.
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.
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.
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.
Jacob Sorber | persist.cs.clemson.edu/
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
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.
We welcome ethical hackers and security researchers who are interested in discovering and fixing vulnerabilities in the low-level world of computers, including but not limited to OSes, CPUs, GPUs, and other I/O devices. Our goal is to improve the security of these systems and protect them against potential threats.
The primary focus of the Synthetic Personas Research Lab is dedicated to advancing the field of conversational virtual humans. We are at the forefront of developing intelligent and empathetic digital human-like entities that can engage in human-like conversations. Our work will span various domains, from healthcare and education to multilingual scenarios and entertainment. We will focus on creating virtual humans that can understand and respond to human verbal and non-verbal input, tailor their behavior and physical attributes to different users, and provide meaningful assistance and support. By pushing the boundaries of computing and human-computer interaction, our lab aims to revolutionize the way people interact with technology, making this interaction more intuitive, effective, and enjoyable for users around the world.
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.
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.
TigerSec Laboratory is dedicated to exploring all facets of automotive security and privacy. In an era where vehicles are becoming increasingly connected and autonomous, our lab aims to address the emerging challenges and vulnerabilities in automotive systems. One of our focus areas is autonomous vehicle security, with a particular emphasis on adversarial machine learning techniques. We are dedicated to exploring and mitigating vulnerabilities that can be exploited by malicious actors seeking to compromise the integrity and reliability of autonomous systems. Additionally, we delve into the security and privacy concerns within the connected vehicle ecosystem, including the safeguarding of infotainment systems. Through interdisciplinary collaboration and partnerships with industry leaders, our lab aims to develop innovative solutions that ensure the robustness of autonomous systems, onboard networks and computational resources, communication protocols, as well as the protection of sensitive user data. By prioritizing these aspects, we contribute to creating a secure and privacy-aware future for the automotive industry.
Sabarish Babu | Andrew Robb | computing.clemson.edu/vegroup
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.
Daljit Singh Dhillon | Andrew Duchowski | Federico Iuricich | Eric Patterson | Jerry Tessendorf
computing.clemson.edu/vcl/
Visual Computing focuses on the acquisition, processing, and synthesis of visual information including the broad areas of computer graphics, visualization, perception, and robotics.