Flight Dynamics
Six-degree-of-freedom modelling, trim and linearisation, handling qualities and stability analysis across the flight envelope.
Available for research collaboration & advisory
Dr. Murat Millidere
Aerospace Engineer · Flight Dynamics & Simulation Researcher
A decade of building the models that fly modern aircraft — from Turkey’s next-generation fighter to zero-emission hydrogen-electric propulsion. PhD-trained in system identification with a track record of bridging high-fidelity research and production flight software.
01 — About
Engineering the equations behind flight
I am an aerospace engineer with more than ten years of experience in flight dynamics, flight simulation, system identification, numerical methods and optimisation. I hold a PhD in Engineering Science and a double-major BSc in Physics and Aerospace Engineering from Middle East Technical University (METU).
My work sits at the interface of rigorous applied mathematics and real aircraft programmes. I have developed the aerodynamic and flight-dynamic models that power Turkey’s indigenous fighter and trainer aircraft, built generic helicopter simulators for professional training, and now research the next generation of certified hydrogen-electric and clean aviation platforms.
I care deeply about model fidelity — about the unglamorous discipline of making sure that what the simulator predicts is what the aircraft actually does.
02 — Expertise
Where I work
Six disciplines, refined through industrial programmes and peer-reviewed research.
FIG. 02 — INDICATIVE FLIGHT ENVELOPE
Flight Simulation
Real-time, full-envelope simulators — from generic helicopter trainers to fighter-class stitched models. Verification, validation & visualisation.
System Identification
Equation-error and output-error methods, Kalman-based estimators, neural-genetic networks and frequency-domain ID from flight-test data.
Aerodynamic Modelling
Multi-fidelity dataset fusion, LASSO and binary particle-swarm regression, iterative equation-error methods for high-AoA agile platforms.
Numerical Optimisation
Newton–Raphson trim algorithms, multi-objective control-law tuning, robust input design for parameter identification.
Control Systems
Automatic flight control system development, lateral & longitudinal control-law synthesis, posteriori multi-objective optimisation.
03 — Experience
Career trajectory
From training simulators to fighter aircraft to the future of clean aviation.
FIG. 03 — CAREER GEOGRAPHY
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Present
Research Fellow — Aircraft Systems Modelling & Simulation
Cranfield University · Centre of Aeronautics — United Kingdom
Leading research on modelling, simulation and verification of fixed-wing platforms, including the Saab 340B aerodynamic model development using binary particle-swarm optimisation. Investigating multi-objective control-law synthesis and onboard near-real-time system identification.
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Recent
Flight Performance Engineer
ZeroAvia — Hydrogen-electric aviation
Flight performance and dynamics engineering on hydrogen-electric powertrain integration — contributing to the certification of zero-emission propulsion for commercial regional aircraft.
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2016 — 2022
Flight Science Engineer
Turkish Aerospace Industries (TUSAŞ) — Ankara, Turkey
Developed flight-dynamic and aerodynamic models for the TF-X / KAAN indigenous fighter aircraft and the HÜRKUŞ basic trainer. Built data-fusion methods to combine low- and high-fidelity aerodynamic datasets across the full flight envelope. Co-authored the simulation models used in the programmes’ engineering and crew-trainer simulators.
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2012 — 2016
Modelling & Simulation Engineer
HAVELSAN — Ankara, Turkey
Developed aircraft and rotor dynamics, automatic flight control systems, and trimming & linearisation algorithms for generic helicopter simulator models used in training-class full-flight simulators.
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2016 — 2021
PhD · Engineering Science
Middle East Technical University (METU) — Ankara
Doctoral thesis: System Identification of Agile Aircraft — output- and equation-error parameter identification for high-AoA, post-stall fighter dynamics.
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BSc
Double Major — Physics & Aerospace Engineering
Middle East Technical University (METU) — Ankara
Foundations in classical and quantum physics paired with applied aerospace engineering — a deliberately dual training in first principles and engineering practice.
04 — Research
Selected publications
A representative sample of peer-reviewed and conference work. Full list available via ORCID and ResearchGate.
FIG. 04 — PUBLICATIONS BY YEAR · 2018 — 2026
2026
Multi-objective optimisation of lateral flight control law: a posteriori approach
Proceedings of the IMechE, Part G: Journal of Aerospace Engineering
DOI ↗2024
Development of aerodynamic and propulsion models using the iterative equation-error method
Aerospace (MDPI), 11(1), 8
Open access ↗2024
Saab 340B aerodynamic model development using binary particle-swarm optimisation
AIAA SciTech 2024 Forum
2022
Full-envelope stitched simulation model of a fighter aircraft using the LASSO technique
AIAA SciTech 2022 Forum
2021
Multi-fidelity aerodynamic dataset generation of a fighter aircraft with a deep neural–genetic network
AIAA Aviation 2021 Forum
AIAA ↗2020
Newton–Raphson methods in aircraft trim: a comparative study
AIAA Aviation 2020 Forum
2020
Kalman-based neural-network model analysis with resampling methods for longitudinal aerodynamic coefficient estimation
Aerospace Science & Technology
05 — Programmes
Aircraft programmes I’ve contributed to
TF-X / KAAN
Indigenous twin-engine air-superiority fighter. Built flight-dynamic and aerodynamic models, including multi-fidelity dataset fusion across the full flight envelope.
HÜRKUŞ
Tandem-seat turboprop training and light-attack platform. Flight-dynamics modelling for engineering and crew-trainer simulators.
Generic Helicopter Simulator
Rotor and aircraft dynamics, automatic flight control, trim & linearisation algorithms for full-flight training simulators at HAVELSAN.
Hydrogen-Electric Powertrain Integration
Flight performance contribution to certified zero-emission propulsion programmes for regional commercial aircraft.
Saab 340B Model
Aerodynamic model identification using binary particle-swarm optimisation as part of academic flight-simulator research at Cranfield.
Simulator Visualisation Study
Comparative analysis of off-the-shelf flight-simulator visualisation stacks (FlightGear, X-Plane, Prepar3D, MSFS 2020) for academic use.
06 — Contact
Let’s talk flight
Open to research collaboration, advisory work, and conversations about flight dynamics, simulation and certification.