Minneapolis, MN
August 23, 2022
June 26, 2022
June 29, 2022
14
10.18260/1-2--41001
https://peer.asee.org/41001
257
Dr. Xiao is an associate professor in the Department of Mechanical Engineering at The University of Iowa. He was graduated from Northwestern University with a Ph.D. degree in mechanical engineering before joining The University of Iowa. His original expertise lies in computational nanomechanics and materials science. One of his papers has been cited over 1000 times. In the past several years, he has extended his efforts to artificial intelligence (AI) and its applications in science and engineering problem-solving. His group's current research interests include machine-learning enhanced numerical modeling of composite materials, reinforcement learning and linear temporal logics for robotics and control, AI-powered design of distributed reservoir systems to mitigate the flood, intelligent traffic light, and quantum computing.
James Buchholz is an Associate Professor of Mechanical Engineering at the University of Iowa. He received the Bachelors and Masters degrees in Mechanical Engineering from the University of Alberta, and the Ph.D. degree in Mechanical and Aerospace Engineering from Princeton University. He teaches courses in fluid mechanics and conducts research in unsteady aerodynamics and hydrodynamics.
Jae-Eun (Jane) Russell is the Director of the OTLT Research & Analytics Office of Teaching, Learning & Technology. Dr. Russell conducts research and assessment to identify effective instructional practices that lead to successful student learning. Her research is focused on student learning, engagement, and motivation, facilitated by teaching practices and curriculum design in various learning environments.
Ezequiel Martin is an Associate Research Engineer at IIHR-Hydroscience & Engineering (University of Iowa). He received a diploma in Nuclear Engineering from Instituto Balseiro - UNC (Argentina) and Masters and PhD degrees in Civil and Environmental Engineering from the University of Illinois. He specializes in Computational Fluid Dynamics with applications to Naval and Environmental Applications.
The Naval Science & Technology (Naval S&T) certificate program opens new opportunities and provides optimal pathways to careers in the Navy for students at the University of Iowa. The program focuses substantially on analytical, computational, and experimental approaches to solving authentic problems in naval hydrodynamics, control, and autonomous naval systems. Students can earn the certificate as part of an elective program in the Mechanical Engineering major, but it is also available to students in other disciplines. In this paper, we address the following questions: (1) What level of initial interest do undergraduate students have in naval science and technology challenges and career paths, and (2) Is the Naval Science and Technology program perceived to be effective in preparing for the career students anticipate, whether or not that career is in support of the Navy. We have surveyed undergraduate students at the midwestern university to target both questions mentioned above. A survey targeted at first-year students aims to assess students’ awareness and interest in the Naval Science and Technology program and a student organization that participates in the international RoboBoat autonomous boat competition. Similarly, a survey targeting Mechanical Engineering sophomore and junior students aims to understand their expectations of the certificate program and their perceptions of its value on their career path and whether they plan to pursue careers in marine engineering. Based on the survey results, discussions and future works are provided.
Xiao, S., & Buchholz, J., & Harwood, C., & Russell, J., & Cichella, V., & Martin, J. E. (2022, August), Navy Science and Technology Program: Pathways to Careers in the Navy and Supporting Industries Paper presented at 2022 ASEE Annual Conference & Exposition, Minneapolis, MN. 10.18260/1-2--41001
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