معرفی
Arsen Iskhakov is an Assistant Professor in the Alan Levin Department of Mechanical and Nuclear Engineering at Kansas State University. His research focuses on integrating computational fluid dynamics, machine learning, and thermal-hydraulic modeling to enhance nuclear reactor safety and efficiency. He holds degrees from Moscow Power Engineering Institute (B.Eng., M.Eng., Ph.D. Cand.Eng.Sc.) and a Ph.D. from North Carolina State University.
- Education:
- B.Eng.: Nuclear Power Plants and Installations
- M.Eng.: Nuclear Power Engineering and Thermophysics
- Ph.D. (Cand.Eng.Sc.): Nuclear Power Installations
- Ph.D.: Nuclear Engineering with minor in Mathematics (North Carolina State University)
- Professional Experience:
- Postdoctoral researcher at NC State's Mathematics Department
- Joined K-State in 2024
Research Interests: Thermal hydraulics, turbulence modeling, advanced reactor systems, AI integration in engineering simulations, and data-driven approaches for reactor safety. His work emphasizes predictive modeling under operational conditions and high-performance computing.
Awards & Recognition: Multiple academic awards and fellowships (specific names not listed). Active member of the American Nuclear Society.
Teaching: Courses include NE 640 (Nuclear Reactor Thermal Hydraulics) and NE 635 (Generation IV Reactor Design). He emphasizes practical applications of computational and data-driven methods in nuclear engineering education.
