Biography
A
dedicated and forward-thinking Aerospace Researcher with excellent project
management abilities, capable of taking on a project from concept to
completion. Demonstrates strong communication, analytical and organizational
skills, reinforced by academic and international work experience. Enthused by integration,
particularly aerospace and automation with a passion for staying up-to-date
with the latest technological advancements to continuously improve operations. Exhibits
exceptional skills in computer vision, machine learning and robotics with experience
in Python, Tensorflow, Keras, PyTorch, NVIDIA Omniverse, NVIDIA Jetson, ROS,
Gazebo, Unity, Blender and OpenCV.
A fluent English speaker who is career-minded
and results-driven as confirmed by life achievements thus far. Highly skilled
in designing and implementing electrical systems including power distribution,
lighting, control systems, switchgears, breakers and relays. Able to develop
and implement safety protocols and procedures to ensure the safe operation of
industrial equipments. Possesses knowledge of containerisation technologies
such as Docker and Kubernetes to deploy and manage applications in a portable
and scalable way and proficiency in scripting languages such as Python, Bash
and PowerShell to automate tasks. Able to configure and manage network
infrastructure, implement and manage network protocols and services, monitor
network performance and identify and resolve network issues using network
management tools and techniques.
Education
2019 - 2024
2019 - 2024Doctorate
Cranfield University, School of Aerospace, Transport and Manufacturing, Aerospace, England
2018 - 2019
2018 - 2019Postgraduate
Cranfield University, School of Aerospace, Transport and Manufacturing, Computational and Software Techniques in Engineering, England
2010 - 2014
2010 - 2014Undergraduate
Selcuk University, Faculty of Engineering, Electrical & Electronics Engineering, Turkey
Dissertations
2024
2024Doctorate
Autonomous Ground Refuelling Framework of Civil Aircrafts using Computer Vision and Robotics
Cranfield University, School of Aerospace, Transport and Manufacturing, Aerospace
2019
2019Postgraduate
Facial Expression Recognition using Computer Vision and Machine Learning: A Path to Deception Detection
Cranfield University, School of Aerospace, Transport and Manufacturing, Computational and Software Techniques in Engineering
Foreign Languages
C2 Mastery
C2 MasteryEnglish
Research Areas
Aeronautical Engineering
Sensors / Electrooptics Technologies
Flight Dynamics and Stability
Flight Control Systems
Avionics
Research Areas Based on Academic Activities
Avesis Research Areas
WoS Research Areas
Scopus Research Areas
Academic Positions
2024 - Continues
2024 - ContinuesAssistant Professor
Middle East Technical University, Faculty of Engineering, Department of Aerospace Engineering
Articles
2024
20241. Enhancing Aircraft Safety through Advanced Engine Health Monitoring with Long Short-Term Memory
Yildirim S., Rana Z. A.
SENSORS
, vol.24, no.2, 2024 (SCI-Expanded, Scopus)
2023
20232. The influence of micro-expressions on deception detection
Yildirim S., Chimeumanu M. S., Rana Z. A.
MULTIMEDIA TOOLS AND APPLICATIONS
, vol.82, no.19, pp.29115-29133, 2023 (SCI-Expanded, Scopus)
2023
20233. Reducing the Reality Gap Using Hybrid Data for Real-Time Autonomous Operations
Yildirim S., Rana Z. A.
MATHEMATICS
, vol.11, no.7, 2023 (SCI-Expanded, Scopus)
Papers Presented at Peer-Reviewed Scientific Conferences
2023
20231. Development of Vision Guided Real-Time Trajectory Planning System for Autonomous Ground Refuelling Operations using Hybrid Dataset
YILDIRIM S., Rana Z. A., Tang G.
AIAA SciTech Forum and Exposition, 2023, Florida, United States Of America, 23 - 27 January 2023, (Full Text)
2021
20212. Autonomous Ground Refuelling Approach for Civil Aircrafts using Computer Vision and Robotics
Yildirim S., Rana Z., Tang G.
IEEE/AIAA 40th Digital Avionics Systems Conference (DASC), ELECTR NETWORK, 3 - 07 October 2021, (Full Text)
Funded Projects
2025 - 2026
2025 - 2026
TUSAŞ LIFT UP: Enabling a generic helicopter model to perform predefined manoeuvres by adding an autopilot model
Project Supported by Other Private Institutions
(Project Abstract)
Yıldırım S., Ergin B., Yıldırım E. A., Akkuş S. Y.
2025 - 2026
2025 - 2026