Laboratories
The SPARCS Laboratory for Spatial Analysis Research in Computational Science
is located in ICT building - ICT 715B - and is hosted by two Departments: the Department of Computer Science and the Department of Geography.
Follow this link to Official SPARCS web site.
Our new project on Marine Risk Analysis description can be found on
MARIS research project web site.The Laboratory Co-Founders are:
Dr. Stefania Bertazzon, Assistant Professor, Department of Geography
Dr. Marina Gavrilova, Associate Professor, Department of Computer Science
The Lab will provide new and exciting opportunities for graduate and undergraduate students in both academia and industry (M.Sc and Ph.D programs, MGIS program, Microsoft Inc. scholarships and internships opportunities for undergradute students, etc.).
The main research interests are in the theory and analysis of algorithms for GIS, including computational geometry methods, computer graphics, GIS, spatial analysis, statistical analysis, visualization, and modeling and simulation.
A variety of projects ranging from theoretical to applied, involving algorithm analysis, programming, visualization, statistical analysis, GIS and social studies is available!
Qualified candidates are also welcome to suggest a potential topic for their M. Sc. and Ph.D. project.
The
Biometric Technologies
Laboratory
is hosted by two Departments: the Department of
Electrical Engineering and
the Department of Computer Science. The laboratory Co-Founders are:
Dr. Marina Gavrilova, Associate Professor, Department of Computer Science
Dr. Svetlana Yanushkevich, Associate Professor, Department of Electrical Engineering
Follow this link to Official BTLab web site.
Biometric technology (BT) is the use of physiological or behavioral characteristics to determine or verify person identity. BT can provide fast, accurate and reliable solutions to identification and identity verification problems. Many problems of biometric information analysis have been successfully solved. For example, many equipment providers have developed efficient solutions for identifying a person verifying his/her identity based on signature, fingerprints, facial characteristics, hand geometry, keystrokes , iris patterns and retinal characteristics.
A radically new phase in the evolution of BT, namely, the development of biometric simulators is about to begin. Based on the solution of the problem of synthesis of biometric information, these simulators have yet to be investigated seriously. The laboratory focus on these unsolved problems. The synthesis of biometric information is the inverse problem to the analysis of biometric information. Solutions to the inverse problem in Biometric technology are fostering pioneering applications, such as unique biometric imitators that reflect both the psychological and physical characteristics. These applications have the potential to alleviate current problems in traditional BT research, for example, by providing novel and improved approaches to decision-making.
The Laboratory contributes by developing novel methodologies and infrastructure for the solution of synthesis problems and will foster the creation of unique multi-biometric simulators, security personnel training systems, and highly sophisticated biometric systems based on the analysis of bio-fields. The laboratory's main focus is on:
- Generation of biometric information
- Testing of biometric systems through simulated biometric information
- Creating database with tailored biometric information without expensive studies involving human subjects
- Simulators for educational and training purposes
