Turaj Ashuri

Dr. Turaj Ashuri is an Assistant Dean of Research Initiatives and Graduate Programs (interim) at the College of Engineering and Engineering Technology, Kennesaw State University. He previously held faculty positions at the University of Texas at Dallas and Arkansas Tech University, where he served in leadership roles such as Director of the Interdisciplinary Research Center and Graduate Program Director. Before academia, he accumulated over a decade of industry experience as a Structural Design Engineer, Research Engineer, and R&D Project Manager.

• PhD, Aerospace Engineering, Delft University of Technology
• MSc, Aerospace Engineering, Sharif University of Technology
• BSc, Mechanical Engineering, Tehran Azad University
• Postdoctoral Research Fellowship, University of Michigan - Ann Arbor

Dr. Ashuri's research focuses on Multiphysics Modeling and Design Optimization, spanning theoretical and applied domains. His work develops numerical methods for unsteady flow fields, nonlinear composite structures, and machine learning algorithms, while applying these techniques to soft robots, unmanned aerial vehicles, and renewable energy systems. He actively explores Uncertainty Quantification and Optimal Control in energy systems, with particular emphasis on wind turbine technology and biomedical soft robotics.

His recent publications demonstrate expertise in Wind Farm Optimization (2016-2018), Soft Robotics (2020), and Hydrogen Fuel Cell Vehicles (2019). These works intersect Computational Design, Control Theory, and Renewable Energy Systems, reflecting his multidisciplinary approach.

Scientific recognitions include:

• Associate Fellow, American Institute of Aeronautics and Astronautics (AIAA)
• Chair, 2023 AIAA Aviation Forum Discipline Committee

Dr. Ashuri's lab at KSU conducts research in Multidisciplinary Design Optimization and Machine Learning applications for intelligent mechanical systems. The lab receives funding from NASA and NIH, supporting work on soft robots, wind turbine engineering, and energy systems optimization.