The DAISE research group focus is on the development, application and dissemination of model validation and uncertainty quantification (MVUQ) methods. Our main emphasis is in structural dynamics applications and structural systems coupled with other domains. This web page includes information about our team, ongoing and past projects, publications and courses taught by me. We acknowledge the funding provided for our research by several federal agencies including National Science Foundation, Department of Energy, Department of the Interior, Department of Transportation, Los Alamos National Laboratory as well as industry organizations and partners, such as National Masonry Concrete Association and Vulcraft Inc. If you are interested to learn more about our work, you can contact me via email@example.com.
If you work in the field of MVUQ, I encourage you submit your scholarly articles to ASME's Journal of Verification, Validation and Uncertainty Quantification. I also encourage you take the time to visit the MVUQ technical division website to learn more about the upcoming events. The technical division has a Linkedin Group titled "Model Validation and Uncertainty Quantification Technical Division of IMAC". I invite everyone interested in MVUQ and want to be involved in the technical division to join our Linkedin Group.
WHAT'S NEW WITH OUR MEMBERS?
GRADUATE ASSISTANTSHIP IN RISK ASSESSMENT
We are looking forward to hiring three doctoral students to be involved in a variety of externally funded projects on societal risk assessment.
GRADUATE FELLOWSHIP IN MODEL VALIDATION
Dr. Atamturktur is the Principal Investigator of a new GAANN project, which will fund 8 doctoral students for the duration of their study (2015-2019) on topics related to Model Validation and Uncertainty Quantification. Interested U.S. citizen students are encouraged to contact Dr. Atamturktur. Click here for more information.
WHO SHOULD JOIN OUR TEAM?
Members of the DAISE research group are committed to reaching their full potential. In everything we do, we support and challenge each other to learn more and achieve more. We believe that becoming better every day will make us the best. Those with the strongest work ethic, deep interest in learning and enthusiasm for creating new knowledge would be suitable candidates for our team.