CCAD Divisions
NADS
The National Advanced Driving Simulator at The University of Iowa is the world's most advanced ground vehicle simulator. The mission of NADS is to help our research sponsors save lives and reduce the costs of vehicle crashes by better understanding the impact of technology, pharmaceuticals, and other factors on driving performance. Please visit our website at www.nads-sc.uiowa.edu.
CSL
The Cognitive Systems Laboratory focuses on cognitive engineering, where the challenge is to understand and improve the capacity of joint human-technology systems. This research has considered technology insertion in the maritime industry, ground transportation, tele-operation, and process control. The ultimate goal is to develop computational models of human performance and design principles that can support effective and humane use of technology. Click here to visit our website.
OPL
The Operator Performance Laboratory applies human-centered principles to design and evaluate human-in-the-loop transportation systems. The OPL performs research on a diverse array of platforms, including fixed and rotary-wing aircraft, instrumented vehicles, and earth-moving machines. The OPL's research leads to products that improve safety, decrease workload, and enhance capabilities. Click here to visit our website.
VSR
Funded primarily by the US Army, we conduct basic and applied research for creating new technologies dealing with digital human modeling and simulation. The objective is to create human-like life on the computer, virtual humans/soldiers that can walk, behave, and talk like we do, yet are able to answer questions in the virtual world. Rather than building a vehicle, a tank, or a weapon system, we allow the virtual soldier to experience the product in the virtual world, thus providing feedback without building a prototype. Click here to visit our website.
MIMX
The Musculoskeletal Imaging, Modeling, and EXperimentation (MIMX) Program is a collaborative effort directed at computational modeling of anatomic structures. A primary objective is to automate the development of patient- and subject-specific models using a combination of imaging and modeling techniques, with particular emphasis on finite element modeling. Click here to visit our website.
RSPS
The Reliability and Sensory Prognostic Systems group at CCAD investigates and develops new reliability-based design optimization (RBDO) methods and software systems that enable the determination of optimum designs that incorporate confidence ranges for mechanical component/system and electronic assembly. Specific research thrusts include the development of uncertainty modeling, reliability sensitivity analysis, and generalized RBDO methods. Click here to visit our website.
