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Research Laboratories
Computer Vision Laboratory
H. Quynh Dinh
George Kamberov
John Oliensis
The primary objective of the research performed in the Computer Vision Laboratory is to apply rigorous physical and mathematical principles towards image interpretation. The work performed in the lab is multidisciplinary, combining many diverse academic disciplines, including physics, mathematics, engineering and above all computer science. Some of the major thrusts in the lab include photometry, 3D shape reconstruction, shape analysis, object recognition and multispectral imaging.
The Computer Vision Laboratory offers students a hands-on experience with image capturing and processing equipment. There is a dedicated workstation that is mainly used for the capture of still images and movies. The environmental conditions in the lab are strictly controlled. If needed, the lab can become a dark room. An optic table allows for the precise positioning of equipment. A collection of optical components allows for experimentation with enhanced image capture. The lab has its own server and Unix workstations for storing, processing and analyzing images.
One of the industrial sponsors of the lab is Siemens Corporate Research, whose Imaging and Visualization Department has already donated a wide collection of optical equipment. There is also ongoing collaboration with the General Robotics Automation and Sensory Perception (GRASP) Laboratory at the University of Pennsylvania.
Computer Visualization and Graphics Laboratory
The research in the VLab is in the general areas of visualization, computer graphics and computer vision with applications in medical imaging and diagnostics, cell biology, scientific computing, robotics, and computational finance. Current research projects include the development of new geometric methods and efficient computational algorithms for representation, recognition, and visualization of surface shapes and shape deformations, and for pre-compression data reduction in visual data communications.
The VLab is part of the mV2 (multi-media vision, and visualization) group, and has close ties with the Vision Lab at Stevens.
Laboratory for Secure Systems
Adriana Compagnoni
Sven Dietrich
Dominic Duggan
David Naumann
Antonio Nicolosi
Wendy Wang
Susanne Wetzel
The Lab's mission is to pioneer new technologies for high-assurance and secure systems and prototype tools that can provide guarantees that a system will not exhibit unpredictable behavior in a hostile environment. Our objective is to consolidate and organize research and tool-building efforts already under way at Stevens. The Lab is funded by grants from the New Jersey Commission on Science and Technology, the National Science Foundation, and the Stevens Institute of Technology Technogenesis Fund. The facilities of the Lab include several desktop machines, PDAs with wireless Ethernet, and Bluetooth devices for experimentation.
Part of the research work is focused on building better trust models for components. Some of this work is using static analysis techniques to check access control and information flow properties for untrusted components. There is also work on pushing type safety from high-level languages down to the assembly language level, and in the process checking properties of heap space usage. Other work has been on type systems for dynamic linking and "hot" updates of program libraries at run-time.
Another thrust of the work in the Lab has been in network security, particularly for wireless networks. Work continues on attacks that can be mounted on ad-hoc wireless networks, and in the design of new authentication and key establishment protocols that can be used to improve the security of wireless communication in general. Recent work has also looked at type-based approaches to cryptography, to specify and ensure trustworthiness guarantees for communication channels.
