Mark Woodgate

Dr. Mark Woodgate is a Research Associate in the Autonomous Systems & Connectivity research group at the School of Engineering, University of Glasgow. His research focuses on computational fluid dynamics applications for rotorcraft and helicopter aerodynamics, with extensive publications spanning over two decades.

His research interests include:

• Computational Fluid Dynamics for rotorcraft applications
• Rotor blade design and optimization
• Helicopter aerodynamics and dynamics
• Wind turbine analysis
• High-fidelity CFD/CSD methods

Dr. Woodgate's recent publications demonstrate a strong focus on advanced computational methods for rotorcraft analysis and design. His work frequently involves collaboration with George Barakos and other researchers at the University of Glasgow. Key research trends include the application of harmonic balance methods, adjoint optimization techniques, and the development of efficient CFD solvers for rotorcraft applications. His research has significant implications for helicopter design, tiltrotor aircraft, and wind turbine technology.

Scientific contributions:

• Development of implicit hybrid methods for rotorcraft flow computation
• Analysis of rotor blade stall and flutter phenomena
• Simulation techniques for helicopter ditching scenarios
• Optimization frameworks for rotor blade planform design

Dr. Woodgate has supervised research students, including Dada, Oyedoyin Samuel, who worked on 'Machine Learning for Flying Vehicles - Demonstration for autonomous fire-fighting aircraft.' His work bridges traditional aerospace engineering with emerging computational techniques and applications.