Mohideen Ansar

Aerospace engineer with over nine years of dedicated experience in computational and experimental aerodynamics, advanced shape optimization, and unmanned aerial vehicle (UAV) design. Demonstrated mastery in CFD analysis and the efficient use of high-performance computing resources, with a proven track record of improving aerodynamic performance across both low- and high-fidelity modeling approaches. Proficient in leveraging HPC capabilities and integrating physics- based models with data-driven and machine learning techniques for robust air data estimation. Recognized as an effective project leader and mentor, consistently delivering pioneering simulation results and driving innovation in aerospace technology development.

Aerospace engineer with over nine years of dedicated experience in computational and experimental aerodynamics, advanced shape optimization, and unmanned aerial vehicle (UAV) design. Demonstrated mastery in CFD analysis and the efficient use of high-performance computing resources, with a proven track record of improving aerodynamic performance across both low- and high-fidelity modeling approaches. Proficient in leveraging HPC capabilities and integrating physics- based models with data-driven and machine learning techniques for robust air data estimation. Recognized as an effective project leader and mentor, consistently delivering pioneering simulation results and driving innovation in aerospace technology development.

Defence Institute of Advanced Technology, Pune, India 

M.Tech in Aerospace Engineering (UAV Specialization), July 2017 - April 2019 '

First class with distinction, CGPA: 8.17