Ali Can (Can) Ispir
Postdoctoral Researcher
Experience
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
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
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
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Experienced in Energy (5 years), Aerospace and Defense (5 years), and Manufacturing (2.5 years).
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).
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
Education
Free University of Brussels
Ph.D. in Engineering and Technology · Engineering and Technology · Brussels, Belgium
Von Karman Institute for Fluid Dynamics
Post Graduate Research Master · Sint-Genesius-Rode, Belgium
Istanbul Technical University
Master of Science in Mechanical Engineering · Mechanical Engineering · İstanbul, Turkey
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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