Representative Collaborative Projects with WSU taking the lead

“Computational Nonlinear Aeroelasticity for Multidisciplinary Analysis and Design,” Dr. Ramana V. Grandhi , Wright State University (Partners: AFIT, AFRL, OSU, UD)

Focus is on hypersonic vehicle design using multi-physics modeling of flow-behavior with high fidelity simulations. Research team is developing integrated aerodynamics, structures, and control models with reduced-order systems for computationally efficient preliminary designs.

“Agent Based Mixed Initiative Collaboration,” Dr. Michael T. Cox, Wright State University (Partners: AFRL/HE, AFIT)

Focus is on investigating computational approaches for designing and implementing planning support of collaborative human and intelligent-agent teams. A prototype system using such a distributed approach over the Internet has been built.

“Command and Control of Remotely Operated Vehicles,”, Dr. S. Narayanan, Wright State University (Partners: AFRL/HE, AFIT, Industry)

Focus is on developing a model-based approach to support human-centered automation in the command and control of remotely operated vehicles. Context-sensitive human operator control models will be developed to enable better understanding of interacting human/system constraints. Multi-modal user interfaces will also be developed.

“Toxico-Genomics: Applications of DNA Microarrays in Toxicology,” Dr. Mariana Morris (Partners: AFRL/HE, UC)

Focus is on whether exposure to chemical agents produces a characteristic “gene expression signature” that can be recognized by DNA microarray, which can then be used as a molecular biomarker and a predictive diagnostic index of toxicological properties. Researchers are using the gene array facilities at WSU and UC to determine the effect of hydrazine exposure on gene expression.

“Self-Evolving Adaptive Interfaces,” Dr. Richard Koubek, Wright State University (Partners: AFRL/HE, AFIT, OSU)

Focus is on increasing affordability of USAF weapons systems by developing and testing operator-system interfaces that adapt to the operator state in real-time, thereby providing the operator with the right information at the right time. A key outcome of applying the developed technology will be increased productivity through the reduction of user technology mismatches.