The GRAIL lab conducts research within the general areas of computer graphics and geometric modeling. Research topics of particular interest include surface reconstruction, surface design, visibility analysis, anatomy of the retina, intersection, smooth computational geometry, and motion planning. Particular attention is paid to the development of algorithms that generalize from polyhedral meshes to smooth surfaces.
Knowledge discovery research at the University of Alabama at Birmingham (UAB) is being carried out by a multidisciplinary group with researchers from Computer and Information Sciences, Pathology and Medical Informatics. The current focus is on healthcare applications, more specifically on surveillance problems. A tool called Data Mining Surveillance (DMSS) has been developed which searches temporally organized medical data, builds associations and applies interestingness heuristics for the identification of trends of interest to medical domain experts. More recently several members of this group have been involved with bioinformatics applications.
The High Performance Computing Laboratory concentrates on the design of high performance systems software for scientific and commodity computing environments. Emphasizing semi-analytical approaches to the understanding of complex systems such as networks and numerical libraries, the HPC Lab has projects that span the gamut from gigabit/s communication subsystems, to numerical algorithms for huge, sparse linear systems of equations, to object-oriented applications that utilize the infrastructure to solve real problems. Standards-based approaches to computer software are emphasized, in that good ideas are pushed into standards whenever possible, to help assure their acceptance, or to find better paths that can also be adopted by industry and government. Work is undertaken at the Department of Computer and Information Sciences where a well-equipped laboratory is housed.
The Collaborative Computing Laboratory (CCL) undertakes research in the areas of Grid Computing, Distributed Computing, and Web-based Computing. Current research focus is on application development and programming environments, integration systems, problem solving environments (computational portals), and collaborative environments to support multidisciplinary research. CCL has a 64-processor Opteron cluster with Grid middleware infrastructure and is in the process of being integrated with other computational resources on campus to create a distributed campus-wide computational infrastructure - UABGrid. Members of CCL have active collaboration with other CIS research groups as well as Academic Computing Department, Mechanical Engineering Department, and Molecular and Genetic Bioinformatics Facility at UAB.
Computer Forensics seeks to apply the principles of Computer Science to the real-world problems faced by CyberCrime Investigators. Current research areas include Spam Data Mining for Law Enforcement; Phishing; and Malware Analysis.
The SPIES research group at the University of Alabama, Birmingham conducts research on multitude of topics related to the security and privacy of "emerging" systems or paradigms. A computing and networking system is considered emerging if it has already started getting deployed in the real-world (albeit not to its fullest capacity), or is deemed promising for a wide-scale deployment in the near future. The security and privacy issues surrounding such emerging systems, however, may prevent end users from utilizing their full potential, or, even worse, may rule out the chances of their deployment in the future. Currently, these emerging systems range from mobile and wireless networks (such as those involving smartphones, sensors and RFID devices) to the Internet class of systems (such as P2P systems and online social networks).
The goal of the SPIES group is to improve the security of emerging systems, to say in short. With this goal in mind, the group is currently running many projects centered around: Usable Security and Privacy (secure association of wireless devices, user authentication, and extrinsically motivated or playful security); Security and Privacy of Constrained Devices (such as medical implants and RFID tags); Fault-Tolerant Distributed Security and Cryptographic Services (such as secure storage in the cloud); and Privacy and Anonymity on the Internet (such as web search privacy and location privacy). SPIES is supported by multiple grants from NSF, Google, Intel, Nokia and Research in Motion. The SPIES researchers consistently publish in top-tier conferences and journals in Computer Science. The SPIES graduates can be found spying around, and earning big bucks :-), in the premises of major software and research organizations, and top academic institutions in the US. The SPIES affiliates like to go by the tag line of, "Spying for a Safer World."
The Computational Representation and Analysis of Language Laboratory explores machine learning techniques to develop statistical models of human language. The goal is to employ these models in novel areas such as syntactic and semantic processing of mixed-language text and communication disorders.
The SECuRE and Trustworthy computing Lab (SECRETLab) at CIS Dept., UAB, is dedicated towards cutting-edge research on computer security, digital forensics, and big data. Established in 2011 by Dr. Ragib Hasan, Assistant Professor, CIS, UAB, the SECRETLab currently explores research projects focused on efficient and practical security as well as data storage. Current projects at the SECRETLab include cloud security and privacy, cloud forensics, innovative mobile malware defenses, secure data and location provenance, social network security and privacy, secure biomedical devices, and digital data waste management. Research at the SECRETLab is currently funded by grants from the National Science Foundation, the Office of Naval Research, Google and Amazon.