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 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 Applied M&S Research Laboratory is the third laboratory area. This graduate research laboratory 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 Collaborative Autonomous Systems Laboratory supports instructional and multidisciplinary research activities related to autonomous systems. This forth laboratory area is shared with the mechanical and aerospace department. CMSE maintains 4 PC workstations and 10 various types of robotic systems. The lab contains an area dedicated to cyber security research as related to collaborative autonomous systems.
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 Advanced Engineering Environments (AEE) laboratory serves as a focal point for the diverse research activities pertaining to Collaborative distributed Engineering Knowledge discovery and exploitation, intelligent synthesis, and advanced learning technologies, and their application to complex engineering systems. These activities include the synergistic coupling of modeling, visual simulations, intelligent agents, multimedia and synthetic environments, human-computer interactions, computational intelligence, computational, information and collaboration technologies in the multidisciplinary analysis, sensitivity studies, optimization, design and operation of complex engineering systems. The laboratory is located at the Old Dominion University Peninsula Higher Education Center in Hampton, Virginia and contains networked advanced 3D display and projection equipment (for collaborative distributed visualization research), virtual holography tablets, and 12 computing workstations and a variety of 3D display and projection equipment. The facility is supported by BCET in equipment and maintenance.
For more information, please visit the Advanced Engineering Environments Laboratory website.
Faculty Research & Articles
AI and the Future of Machine Design, Digital Design and Manufacturing (by Dr. Ahmed Noor)
Game Changers, Mechanical Engineering (by Dr. Ahmed Noor)
The Connected Life: The Internet of Everything Coming to a Building Near You, Mechanical Engineering (by Dr. Ahmed Noor)
Potential of Multimodal and Multiuser Interaction with Virtual Holography, Advances in Engineering Software (by Dr. Ahmed Noor and Dr. Rifat Aras - PhD in Modeling and Simulation)
Smart Stethoscope Saves Lives (featuring Dr. Rick McKenzie)
Explore Our Research Interests
|Yuzhong Shen, PhD
Associate Professor and Graduate Program Director
|Game-based learning; visualization and computer graphics; modeling and simulation; and, signal and image processing.|
Jim Leathrum, PhD
|Parallel and distributed simulation, hardware and software simulation architectures, and applications of discrete event simulation to multi-modal transportation systems.|
|Michel Audette, PhD
|Medical applications in M&S including imaging and surgery.|
|Bharat Madan, PhD
|Network and cyber security applications.|
Roland Mielke, PhD
|Systems theory, mathematical modeling, modeling and simulation education, application of continuous simulation in electrical engineering, and applications of discrete event simulation in transportation and enterprise decision support.|
|Ahmed Noor, PhD
Eminent Scholar and William E. Lobeck Professor
|Computational mechanics, multi-scale modeling and simulation, interactive visual simulation, and advanced simulation-based learning environments. Intelligent knowledge discovery and exploitation (beyond AI), cognitive computing and cognitive engineering systems.|
John Sokolowski, PhD
|Human behavior modeling; decision system modeling; multiagent system simulation; and, modeling and simulation representation of social systems|
|Masha Sosonkina, PhD
|Physical based modeling and high performance computing and simulation.|
N. Rao Chaganty, PhD
|Large deviations, generalized linear models, estimating equations|
|Duc Nguyen, PhD
Joint Appointed Professor with Civil and Environmental Engineering
|Linear/Non-linear constraint optimization numerical algorithms and software; Cluster Parallel MATLAB Computing for large-scale, real time computer simulation; Finite Element Analysis/Solution for PDE general field problems; Efficient algorithms for large-scale Shortest Paths in "transportation networks"; Computational (Engineering) Mechanics; Efficient algorithms/software for solving large-scale "simultaneous linear/non-linear equations", and "general eigen-value" problems|
|Catherine M. Berry, PhD||International studies; modeling of social networks|
|Multi-agent simulation, multivariate statistics, scheduling, Markov processes, and mathematical modeling|
|C. Donald Combs, PhD||Medical modeling and simulation, gaming applied to health professions education, geospatial health research and health professions education|
|Interoperability of simulations; composability of models.|
|Rafael Diaz, PhD||Operations research, operations management, production and healthcare and public health systems, dependence modeling for stochastic simulation, and simulation-based optimization methods|
|Barry Ezell, PhD||All-hazards Risk and Decision Analysis; Operations Research Systems Analysis; Probabilistic Risk Assessment; Capabilities-Based Assessment; Group Facilitation; Insurgency and Terrorism M&S|
|Thomas Holland, PhD
||Detection and characterization of emergent phenomena in natural and synthetic systems; intentional emergent behavior, systems-of-systems; role of simulation in expression, visualization, and understanding of complexity in systems of systems.|
|Johnny Garcia, PhD||Combat Modeling|
|Jose Padilla, PhD||Human, social, cultural, and behavior modeling; epistemology of modeling and simulation; systems engineering and engineering management.|
|Yiannis Papelis, PhD||Robotics and autonomous systems; semi-autonomous agents; virtual environments and immersive games; and, discrete event and continuous simulations.|
|Krzysztof Rechowicz, PhD||Medical applications in modeling and simulation.|
|Mike Robinson, PhD||Transportation modeling; evacuation modeling; and, decision making.|
|Andreas Tolk, PhD||Model-based systems engineering, which includes research on modeling and simulation interoperability challenges, in particular in the context of complex systems and system of systems.|
|Eric Weisel, PhD||Operations research; applied statistics, including design of experiments; advanced mathematics; modeling and simulation; and, nuclear engineering.|