Ali (Can) I.

Postdoctoral Researcher

Eindhoven, Netherlands

Experience

Aug 2023 - Present
2 years 5 months
Eindhoven, Netherlands

Postdoctoral Researcher

TU Eindhoven, Energy Technology & Fluid Dynamics Research Group

  • Kickstart Project: Developing data-driven digital solutions for designing industrial heat pumps as sustainable alternatives to fossil-fueled boilers, using AI to optimize efficiency and performance.
  • Developed digital twins of industrial heat pumps by combining physics-based models with data-driven models built from measurement data for both steady-state and dynamic performance analysis.
  • Assessing the feasibility of industrial heat pumps using a digital-twin approach, considering economic, energy-saving, and emission perspectives.
  • Collaborated with cross-functional teams, including partners at TNO.
  • Integrated machine learning algorithms with physics-based system models to create surrogate models for the heat-transfer processes in an industrial heat-pump component.
Sep 2018 - Jul 2023
4 years 11 months
Sint-Genesius-Rode, Belgium

Research Fellow and Project Engineer

Von Karman Institute for Fluid Dynamics, Department of Aeronautics and Aerospace

  • Developed and validated digital twin and reduced-order models for the design and optimization of hydrogen-fueled aerospace propulsion systems using MATLAB and Python.
  • Integrated machine learning with combustion models to improve propulsion system efficiency.
  • Supervised thesis projects and mentored researchers on model-based methods, contributing to the successful completion of projects.
  • Built physics-informed neural network models to improve the accuracy of system-level engine architectures.
  • Explored propulsion design space using data-driven methods for hydrogen-fueled engines.
  • Built performance database via one-dimensional models for combined-cycle propulsion systems.
  • Built one-dimensional physics and data-driven models of hydrogen-fueled aerospace propulsion systems.
  • Integrated system models with genetic algorithms to optimize engine performance and mass.
May 2015 - Sep 2017
2 years 5 months
İstanbul, Turkey

Research Assistant

Istanbul Technical University, Faculty of Mechanical Engineering

  • Conducted experimental analysis of heat transfer and flow dynamics in multi-phase systems, enhancing component efficiency.
  • Developed and refined control algorithms to optimize system efficiency and product quality in household appliances, resulting in a 15% improvement in performance.
  • Designed and built heat exchangers for testing and improving thermal systems in energy-efficient applications.

Summary

Mechanical Engineer with a PhD, experienced in data-driven modelling, machine learning, and prototype development for complex multi-domain systems. Skilled in analysing large datasets, building executable models, and transforming raw data into reliable, testable algorithms. Proficient in Python, MATLAB, and ML frameworks, with hands-on experience developing and validating models, integrating physics-based and data-driven approaches, and supporting decision-making through scenario analysis. Strong ability to collaborate across disciplines and translate technical results into actionable insights for design and optimization.

Languages

Turkish
Native
English
Advanced
French
Elementary

Education

Sep 2018 - Jun 2023

Université Libre de Bruxelles

Ph.D. in Engineering and Technology · Engineering and Technology · Brussels, Belgium

Sep 2017 - Jun 2018

Von Karman Institute for Fluid Dynamics

Post Graduate Research Master · Sint-Genesius-Rode, Belgium

Sep 2014 - Jan 2017

Istanbul Technical University

Master of Science in Mechanical Engineering · Mechanical Engineering · İstanbul, Turkey

...and 1 more

Certifications & licenses

Machine Learning

DeepLearning.AI

100 Days Of Code: The Complete Python Pro Bootcamp

Udemy

Introduction To The Modelica Library TIL

TLK Energy

Object Oriented Modelling Of Thermal Systems

TLK Energy

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