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Ioanna Aslanidou

Associate professor

Technical University of Denmark

Denmark

Research Interests

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Professors in Energy Engineering

About

Ioanna Aslanidou is an Associate Professor of Mechanical Engineering at Mälardalen University in Sweden. Her research interests include inverse flow prediction, deep learning applications in bubble dynamics, and model predictive control for hydrocracking and biomass fluidized bed systems. She has published several recent articles addressing topics such as NOx emission control, micro gas turbines, and enhancing learning experiences through student feedback.

Articles (16)

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2026

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2026

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2026

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2026

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2026

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2024

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2023

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2023

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2022

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2022

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2022

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2021

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2021

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2021

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2021

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2020

Collaborators (2)

Konstantinos Kyprianidis

Mälardalen University

SWEDEN

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Valentina Zaccaria

Assistant professor

Mälardalen University

SWEDEN

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Ioanna Aslanidou

Research Interests

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Articles (16)

Simulation–Validated Genetic algorithm scheduling for industrial production systems

Adoption of discrete event simulation in manufacturing

Process Automation Using Offline Programming of Industrial Robots

Purpose-Driven Digital Twins for Production Systems: Mapping Decisions, KPIs, and Users

Scenario-Based Simulation for Developing New Production Systems: A Methodological Framework

Inverse flow prediction using ensemble PINNs and uncertainty quantification

Application of deep learning for segmentation of bubble dynamics in subcooled boiling

Effect of spray operation conditions on Nox emission control in a power station

Development of feed-forward model predictive control for applications in biomass bubbling fluidized bed boilers

A Feedforward Model Predictive Controller for Optimal Hydrocracker Operation

Off-Design Performance Comparison Between Single and Two-Shaft Engines Part 1—Fixed Geometry

Crude-specific optimal operation of hydrodesulfurization

Micro Gas Turbines in the Future Smart Energy System: Fleet Monitoring, Diagnostics, and System Level Requirements

Onset of Nucleate Boiling Model for Rectangular Upward Narrow Channel: CFD Based Approach

Reforming heat and power technology course using student feedback to enhance learning experience

Derivation and uncertainty quantication of a data-driven subcooled boiling model

Collaborators (2)

Konstantinos Kyprianidis

Valentina Zaccaria

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