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Ali Can (Can) Ispir

Postdoctoral Researcher

Ali Can Ispir
Eindhoven, Netherlands

Experience

Aug 2023 - Present
2 years 8 months
Eindhoven, Netherlands

Postdoctoral Researcher

TU Eindhoven, Energy Technology & Fluid Dynamics Research Group

  • 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
  • Assessed 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 (PINN) models to improve the accuracy of system-level engine architectures
  • Performed multi-disciplinary optimization for low-boom, sustainable supersonic aviation, balancing performance, noise, and emissions within regulatory constraints
  • Explored propulsion design space using data-driven methods for hydrogen-fueled engines
  • Built performance database via 1D models for combined-cycle propulsion systems
  • Studied the feasibility of stratospheric flight for high-speed transport, combining aerodynamic and propulsion analysis to assess performance and viability
  • Built 1D 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

Industries Experience

See where this freelancer has spent most of their professional time. Longer bars indicate deeper hands-on experience, while shorter ones reflect targeted or project-based work.

Experienced in Energy (5 years), Aerospace and Defense (5 years), and Manufacturing (2.5 years).

Energy
Aerospace and Defense
Manufacturing

Business Areas Experience

The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.

Experienced in Product Development (10 years) and Research and Development (10 years).

Product Development
Research and Development

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.

Skills

  • Programming Languages: Python, C++, Sql, Matlab
  • Machine Learning Frameworks: Tensorflow, Keras, Scikit-learn, Pandas, Numpy
  • Platforms: Linux, Windows, Openfoam

Languages

English
Advanced
Dutch
Advanced
Turkish
Advanced

Education

Sep 2018 - Jun 2023

Free University of Brussels

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

Profile

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Frequently asked questions

Do you have questions? Here you can find further information.

Where is Ali Can based?

Ali Can is based in Eindhoven, Netherlands.

What languages does Ali Can speak?

Ali Can speaks the following languages: English (Advanced), Dutch (Advanced), Turkish (Advanced).

How many years of experience does Ali Can have?

Ali Can has at least 10 years of experience. During this time, Ali Can has worked in at least 3 different roles and for 3 different companies. The average length of individual experience is 3 years and 3 months. Note that Ali Can may not have shared all experience and actually has more experience.

What roles would Ali Can be best suited for?

Based on recent experience, Ali Can would be well-suited for roles such as: Postdoctoral Researcher, Research Fellow and Project Engineer, Research Assistant.

What is Ali Can's latest experience?

Ali Can's most recent position is Postdoctoral Researcher at TU Eindhoven, Energy Technology & Fluid Dynamics Research Group.

What companies has Ali Can worked for in recent years?

In recent years, Ali Can has worked for TU Eindhoven, Energy Technology & Fluid Dynamics Research Group, Von Karman Institute for Fluid Dynamics and Department of Aeronautics and Aerospace.

Which industries is Ali Can most experienced in?

Ali Can is most experienced in industries like Energy, Aerospace and Defense, and Manufacturing.

Which business areas is Ali Can most experienced in?

Ali Can is most experienced in business areas like Product Development and Research and Development (R&D).

Which industries has Ali Can worked in recently?

Ali Can has recently worked in industries like Aerospace and Defense and Energy.

Which business areas has Ali Can worked in recently?

Ali Can has recently worked in business areas like Product Development and Research and Development (R&D).

What is Ali Can's education?

Ali Can holds a Doctorate in Engineering and Technology from Free University of Brussels, a Master from Von Karman Institute for Fluid Dynamics, a Master in Mechanical Engineering from Istanbul Technical University and a Bachelor in Mechanical Engineering from Istanbul Technical University.

Does Ali Can have any certificates?

Ali Can has 4 certificates. Among them, these include: Machine Learning, 100 Days of Code: The Complete Python Pro Bootcamp, and Introduction to the Modelica Library TIL.

What is the availability of Ali Can?

Ali Can is immediately available full-time for suitable projects.

What is the rate of Ali Can?

Ali Can's rate depends on the specific project requirements. Please use the Meet button on the profile to schedule a meeting and discuss the details.

How to hire Ali Can?

To hire Ali Can, click the Meet button on the profile to request a meeting and discuss your project needs.

Average rates for similar positions

Rates are based on recent contracts and do not include FRATCH margin.

1000
750
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Market avg: 660-820 €
The rates shown represent the typical market range for freelancers in this position based on recent contracts on our platform.
Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.