Research Scientist
Contact
0044-(0)-7879-173-899
[email protected]
London, United Kingdom
https://www.linkedin.com/in/ardakup/
Key Skills
- 🗣️ Communication
- 🤝 Teamwork
- 📈 Leadership
- 🧩 Problem-Solving
- ⏱️ Time Management
- 🔬 Research
- 🗂️ Project Planning and Execution
- 📊 Analysis and Reporting
- 🗣️ Presentation
- 🔄 Adaptability
- 🎨 Creativity
- 🧐 Attention to Detail
- 📋 Organization
Education
Master of Science in Computational Design Engineering
University of Southampton, United Kingdom
Graduated with Merit, July 2022
Bachelor of Science in Aerospace Engineering
University of Southampton, United Kingdom
Graduated with Honors, September 2014
Computer Skills
- 🐍 Python (Pandas, Numpy, Pytorch, Matplotlib)
- 💻 Matlab Programming
- 🔧 C / C++
- ⚙️ Ansys (CAD, FEA, CFD)
- 📐 Solidworks (CAD, FEA)
- 🌐 Comsol Multiphysics (FEA)
- 🖥️ Linux/ Windows Terminal
- 🚀 High-Performing Computing
Certifications
SoTeach 1,2 Certification in Higher Education
Issued by the University of Southampton
Professional Affiliation
Member - AI Southampton
Languages
● English (Fluent)
● Turkish (Native)
● Spanish (Conversational)
Interests
#Traveling #ChildCare
#Sports #Reading #Blogging
Professional Summary
Highly accomplished and results-oriented Corporate Professional with a proven track record in engineering and research. Adept at leading cross-functional projects, implementing strategic initiatives, and driving business growth. Strong analytical and problem-solving skills coupled with excellent communication and leadership abilities. Committed to delivering exceptional results while fostering a collaborative and positive work environment.
Professional Work Experience
University of Southampton
Research Professional- PhD Student
Southampton, UK | September 2024 - Present
- Led data-centric research on galling phenomena in stainless steel under dry sliding, as part of an interdisciplinary project at the University of Southampton.
- Tasked with building predictive models to improve understanding and forecasting of galling in industrial applications.
- Applied machine learning (e.g., random forests, SVMs, neural networks), developed computer vision tools, and collaborated with materials scientists to preprocess and analyze experimental data.
- Delivered a validated predictive model and contributed to peer-reviewed publications, offering insights to optimize material selection and reduce wear-related failures.
CERN (European Council for Nuclear Research)
Research Professional - Computational Design Engineer
Geneva, Switzerland | April 2022 - January 2023
- Led pollutant dispersion modeling at CERN using CFD to assess accidental discharge risks in particle accelerator facilities.
- Integrated wind tunnel data with simulations to meet stringent safety regulations and stakeholder requirements.
- Developed accurate 3D surface models and optimized geometries using advanced meshing and multiphysics simulations (RANS, LES in Ansys Fluent).
- Automated simulation workflows with Python, HPC, and C++ post-processing algorithms, boosting efficiency and precision.
- Contributed to documentation, vacuum tech, and cryogenic systems knowledge; received recognition for impactful contributions.
Applus IDIADA
Corporate Professional - Software Engineer
Santa Oliva, UK | June 2019 - November 2019
- Led development of vehicle performance analysis software, enabling advanced data manipulation and reporting.
- Defined test requirements and sensor strategies through stakeholder collaboration, ensuring accurate testing protocols.
- Automated test execution and reporting, streamlining processes and supporting successful sales outcomes.
- Contributed to international codebases in multiple languages, enhancing software quality and global collaboration.
- Maintained strong client relationships through proactive communication and solution-oriented teamwork.
Volunteer Work Experience
Research and Development Engineer, Student Formula Team
Southampton, United Kingdom | January 2021 - January 2022
- Improved vehicle performance analysis for a Formula Student team by developing scripts for automated instrumentation data processing.
- Tasked with extracting and interpreting complex telemetry data to assess performance metrics.
- Created efficient data pipelines using scripting languages, collaborated with engineers to identify key parameters, and implemented post-processing algorithms.
- Achieved faster, more accurate performance evaluations, reducing manual workload and supporting data-driven design decisions.
References