The following list illustrates some of the current research areas in the CIS Dept.:
- data mining
- machine learning
- wireless networks and mobile computing
- parallel processing
- multimedia databases
- computer vision
- robot mapping
- data compression
- biomedical informatics
- pattern recognition
- information and network security
- distributed and real-time systems
- cloud computing
- complexity theory
- computational genomics
- artificial intelligence
- collaboration technology and methods
The Department is strong in data mining for spatial, temporal and distributed data and applications of these techniques to large biomedical databases. The bioinformatics work focuses on understanding disordered proteins and their functions. Other work in biomedical informatics focuses on developing data management and informatics tools for analyzing large repositories of medical images and other clinical data and extracting patterns and associations between anatomical structures and normal or abnormal function. Other applications of data mining and machine learning we consider are in the areas of video analysis and time series analysis. Work in pattern recognition centers around object recognition, shape similarity and perceptual grouping with applications to robot mapping.
Additionally, the department is developing a strong research program centered on networked computing, which includes wireless networks and mobile computing, security, resource and system management and parallel and distributed systems. The wireless network and mobile computing areas focus on innovative network architecture, delay tolerant network design, protocol design, and QoS support. The security research studies key management, anonymity design, and secure routing . In the areas of resource and system management, work is centered on applying reputation-based trust model on resource selection and mapping. Parallel and distributed systems focus on the principles of lossless high performance systems.
The Department has also a strong core in complexity theory (including circuit complexity and bounded queries), fault diagnosis, mathematical theory of computation, algorithms and their applications to molecular computing and bioinformatics. Work in the area of artificial intelligence concentrates on computer-aided instruction and learning and reasoning under uncertainty and insufficient knowledge and resources.
The majority of the research projects is funded by the National Science Foundation (NSF), the Department of Defense (DOD), and the National Institutes of Health (NIH). Much of the research work of the department is carried out by the members of the Center for Data Analytics and Medical Informatics (DABI) and the Center for Networked Computing (CNC). The projects are interdisciplinary and involve researchers from departments as diverse as Engineering, Biology, Chemistry, Statistics, Mathematics, Radiology, Neurology, Pathology, Pharmacology, and Psychology.