The Applied M&S Research Laboratory is a graduate research laboratory that contains PC workstations and spaces for 10 graduate students, and also supports faculty/VMASC collaborative research activities. Several research topics are conducted in this laboratory including high performance computing, cyber security, simulation architectures, transportation systems, military M&S, digital manufacturing, and enterprise decision support. Visualization of these is also a significant part of these areas.

The CAVE (Cave Automated Virtual Environment) Virtual Reality laboratory area contains several 3D visualization systems. The CAVE is a high-resolution projection-screen virtual reality system. The screens are arranged in a 10 foot cube with computer-generated images projected on three walls and a floor. The CAVE lab also contains a 3 meter Vision Dome projection system and an Immersa-Desk virtual reality display. Two 3D printers are also placed in the CAVE Lab.

The CCNI Lab carries out transformative research to advance the state of the arts in the fields of cybersecurity, communications, and networking, in particular the security for cognitive radio networks, wireless communications, and wireless networking. The Lab promotes the integration of research into education through vibrant curriculum design, program strengthening, and innovative outreach activities to the Hampton Roads region.

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The Collaborative Autonomous Systems Laboratory supports instructional and multidisciplinary research activities related to autonomous systems. This laboratory area is shared with the Mechanical and Aerospace Engineer Department. The laboratory includes workstations and various types of robotic systems. The lab contains an area dedicated to cyber security research as related to collaborative autonomous systems.

The Undergraduate Projects and Research Laboratory, is mainly used for facilitating modeling and simulation projects-based instruction in both lower and upper division undergraduate levels. This also involves courses in the major with a significant laboratory component. The Laboratory can accommodate 24 students with laptop computers and provide 5 workstations for undergraduate labs and research. Each workstation contains a high performance computer and collaboration spaces. The lab also contains a Polycom Teleconference system to support distance learning. The lab is equipped with 3 digital projectors to support teaching.

The Vision Lab aims to develop novel theory, state-of-art algorithms, and architectures for learning and real-time applications in human and machine-centered interaction and recognition; biomedical imaging and signal analysis; and environmental and geoscience applications based on the disciplines of computer vision, signal/image processing and AI/machine learning.

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The Vision Lab aims to develop novel theory, state-of-art algorithms, and architectures for learning and real-time applications in human and machine-centered interaction and recognition; biomedical imaging and signal analysis; and environmental and geoscience applications based on the disciplines of computer vision, signal/image processing and AI/machine learning.

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APTL was established by Prof. Mounir Laroussi in 1998. The research foci at APTL are the development of low temperature plasma (LTP), application of electrical and spectroscopic diagnostics to LTP, and the use of LTP for plasma processing including for biological and medical applications.

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The focus of the lab is to develop devices for disease detection and biomanufacturing therapeutic(s) cells and molecules for treatments.

The CAVE (Cave Automated Virtual Environment) Virtual Reality laboratory area contains several 3D visualization systems. The CAVE is a high-resolution projection-screen virtual reality system. The screens are arranged in a 10 foot cube with computer-generated images projected on three walls and a floor. The CAVE lab also contains a 3 meter Vision Dome projection system and an Immersa-Desk virtual reality display. Two 3D printers are also placed in the CAVE Lab.

The Medical, Imaging, Diagnosis & Analysis Laboratory (MIDA) was established by Old Dominion University in Summer 2007. Their research field is applied machine learning focusing on development of novel algorithms for challenging problems in various applications including medical imaging, disease diagnosis, minimally invasive methodologies, computational visualizations, bioinformatics, medical device use and evaluation.

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The Medical Simulations Laboratory is mainly used to support teaching and research activities related to medical simulations for planning, training, education, analysis and visualization. It contains 15 high performance PC workstations, 4 haptic devices, three 3D scanners, two 3D printers, 4 reach-in displays, 3 LCD TVs, 3 game consoles from Microsoft, Sony and Nintendo. The laboratory is also equipped with a large selection of software such as Autodesk Maya, Google SketchUp, Microsoft XNA Game Studio, Unity Game Engine, and ArcGIS.

The Plasma Engineering & Medicine Engineering Institute (PEMI) is a research facility focused on conducting fundamental investigations of low temperature plasmas and their applications in biology, medicine and bioengineering. PEMI will be a leading national and international research institute that will play an instrumental role in advancing cutting edge biomedical applications of low temperature plasmas.

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The Undergraduate Projects and Research Laboratory, is mainly used for facilitating modeling and simulation projects-based instruction in both lower and upper division undergraduate levels. This also involves courses in the major with a significant laboratory component. The Laboratory can accommodate 24 students with laptop computers and provide 5 workstations for undergraduate labs and research. Each workstation contains a high performance computer and collaboration spaces. The lab also contains a Polycom Teleconference system to support distance learning. The lab is equipped with 3 digital projectors to support teaching.

The Vision Lab aims to develop novel theory, state-of-art algorithms, and architectures for learning and real-time applications in human and machine-centered interaction and recognition; biomedical imaging and signal analysis; and environmental and geoscience applications based on the disciplines of computer vision, signal/image processing and AI/machine learning.

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The Vision Lab aims to develop novel theory, state-of-art algorithms, and architectures for learning and real-time applications in human and machine-centered interaction and recognition; biomedical imaging and signal analysis; and environmental and geoscience applications based on the disciplines of computer vision, signal/image processing and AI/machine learning.

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APTL was established by Prof. Mounir Laroussi in 1998. The research foci at APTL are the development of low temperature plasma (LTP), application of electrical and spectroscopic diagnostics to LTP, and the use of LTP for plasma processing including for biological and medical applications.

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The Applied Research Center consists of an interdisciplinary team of researchers working on scientific and technological problems in the areas of thin films, laser and plasma applications, materials technology, and the emerging fields of nanotechnology, biomedical engineering, sensor science and technology, and MEMS. Projects at the Center are sponsored by federal agencies, the Commonwealth of Virginia, and various industries and national labs.

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The Virginia Institute of Photovoltaics (VIPV) exemplifies Old Dominion University's leadership role in the field of solar energy research. The scope of its mission extends from the basics of the fundamental science of the materials and devices, through the fabrication processes and balance of systems, all the way to the knowledge and understanding of PV systems and complementary environmental policy and PV business development.

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