CofC Logo

Undergraduate Research


cirdles

CIRDLES

Dr. Jim Bowring's National Science Foundation-funded Cyber Infrastructure Research and Development Lab for the Earth Sciences (CIRDLES.org) invents and develops software tools and data processing techniques to automate the workflow of geoscientists in determining the age of the earth. CIRDLES also invents and develops software testing tools, visualization tools, and mobile apps. Students interested in solving hard problems are encouraged to visit CIRDLES in Room 307 of Harbor Walk East to get to know the students who have already engaged in the research.

For more information, please contact Jim Bowring.

Computer Music and Arts

Computer Music and Arts Lab

Dr. Bill Manaris and his students explore applications of computer music, human-computer interaction, and artificial intelligence in music and art.  Areas of interest include interaction design and modeling of aesthetics and creativity using statistical, connectionist, and evolutionary techniques.  Students develop systems for computer-aided analysis, composition, and performance in music and art.  Additional videos and selected publications may be found at Dr. Manaris research page.

For more information, please contact Dr. Bill Manaris.

cybersecurity

Cybersecurity X Lab

The Cybersecurity X Lab explores security vulnerabilities of computer systems, networks, and the Internet of Things (IoT), how to detect threats, and mitigate these. Topics that we explore vary from computer network attacks, such as Denial of Service, to Software Defined Network security, and Internet of Things vulnerabilities. We currently have projects that span from automating detection of attacks using statistical analysis and machine learning, to studying new protocols used in the Internet of Things, developing covert communication techniques, and automating vulnerability detection and pen testing.

For more information, please contact Dr. Xenia Mountrouidou.

BiRG

Data Science Research Lab

The Anderson Lab develops algorithms and software to tackle some of the most challenging and interesting data intensive problems in the life sciences. Our research interests include pattern analysis in high-dimensionality data sets, evolutionary computation and optimization, machine learning, data science, computational genomics, cloud computing, computational metabolomics, and eScience. We currently have multidisciplinary projects underway in metabolomics, human cognition, toxicology, marine biology, and medical genomics.

For more information, please contact Paul Anderson.

MLMIA Lab

Machine Learning and Medical Image Analysis Lab

The Machine Learning and Medical Image Analysis (MLMIA) lab develops computational models that assist clinicians in the interpretation of medical imaging data. In particular, the primary area of research involves using machine-learning techniques to identify abnormal patterns in neuroimaging data. The developed models may then be applied in computer aided diagnosis applications to predict if a patient may have Alzheimer’s disease, autism, epilepsy, or traumatic brain injury. Currently, the lab also supports ongoing large neuroimaging studies with image analysis technology expertise and resources that include transfer of image data management and organization, data reformatting, co-registration to standard anatomical coordinates, brain tissue segmentation and lobe parcellation, subcortical structure segmentation, cortical thickness analysis, DTI processing and tractography, and shape analysis.

For more information, please contact Brent Munsell.

Omics Data Science Experience

The Omics Data Science Experience cultivates the talent of an intellectually and culturally diverse group of 10 undergraduate students each year drawn from fields related to the life science, bioinformatics, and computer science by engaging them in ongoing biological research projects that employ next-generation DNA sequencing technologies and high performance computing. These projects will span areas of bioinformatics, data science, cyberinfrastructure, data mining, e-Science, genome biology, organismal biology, and molecular evolution. Students will be expected to lead and operate in small interdisciplinary teams.

For more information, please contact Paul Anderson.

UAV Robotics

UAV Robotics Lab

The Unmanned Aerial Vehicle (UAV) Robotics Lab features a variety of drone technology and opportunities for undergraduate students to conduct research work in visual and voice-guided robotics. The lab contains DJI Phantom 4 drones, Arduino technologies, raspberry Pi’s, wireless microphones, and additional gadgets to implement research ideas.  Projects involve using Java or control software using C++ that integrate speech recognition or computer vision libraries to develop visual and voice guided robotics applications.

For more information, please contact Dr. Sebastian van Delden

SDE Lab

SDE Cyber-Security Lab

The SDE Cyber-Security Lab develops secure algorithms and architectures for enterprise systems.  Cyber-Security is about Confidentiality, Integrity and Availability.  Our work focuses on the "I" and "A" in cyber-security.  Our provides correctness and availability guarantees for distributed systems, cloud platforms and mobile solutions.  Graduate and undergraduate students work together in the lab developing novel solutions to today's cyber-security issues.

For more information, please contact Aspen Olmsted.

Virtual Production Lab

Virtual Production Lab

On-going projects in the Virtual Production Lab explore techniques that enhance the art of real-time motion picture production by creating computer-generated visuals or augmenting the creativity of human filmmakers and camera operators.  Join us in learning how to use green-screen or chroma key compositing, motion capture of props and performers, and virtual cameras for filming or previsualization.  Active research projects have involved both high school and undergraduate students who have an interest in blending computing with performance and film arts.

For more information please contact William Bares.