I am a docent in Mechanical Engineering (MDU, 2023) and hold a DPhil in Engineering Science from the University of Oxford, UK (2016). At MDU I serve as the deputy head of division of product realization.
My core expertise is on heat transfer and aerodynamics in gas turbines, and the combination of experimental and computational work. My current focus is on the development of learning systems for energy and production processes and fundamental fluid mechanics research.
I have research experience of 15+ years in four different academic institutions and in collaboration with multiple industrial partners. I have participated in multiple national and EU projects and have led the successfully completed DYNOP project (2018-2021, funded by the Swedish Knowledge Foundation and co-financed by partner companies in Sweden).
I have developed courses on experimental methods and modelling and simulation for continuous professional development in the FutureE and Premium projects, and I am teaching in courses in the topics of heat and power technology and production at Bachelor’s, Master’s, and PhD level. I have been qualified as a recognized university teacher (meriterad lärare) at Mälardalen University in 2022.
I serve as the chair of the ASME IGTI Education committee and I am the tutorial chair and part of the organizing committee for the ASME Turbo Expo 2024 conference. I have organized technical and panel sessions at multiple international conferences and previously served as the chair (2018-2020) and vanguard chair (2020-2022) of the ASME IGTI education committee. I am a reviewer for multiple conferences, journals and international awards. I have received three best paper awards by the ASME International Gas Turbine Institute (2010, 2018, 2020).
I have supervised 10 PhD students and 11 MSc students and published more than 50 peer-reviewed articles.
My research includes the development of smart sensors, decision support systems, simulation of production systems, experimental fluid mechanics and heat transfer, boiling heat transfer.
Development of feed-forward model predictive control for applications in biomass bubbling fluidized bed boilers (May 2022) Milan Zlatkovikj, Valentina Zaccaria, Hailong Li, Ioanna Aslanidou Journal of Process Control (J Proc Ctrl)
Dilemmas in designing e-learning experiences for professionals (Dec 2021) Mobyen Uddin Ahmed, Ioanna Aslanidou, Jakob Axelsson, Shahina Begum, Leo Hatvani, Anders Olsson, Sebastian Schwede, Carina Sjödin, Jan Skvaril, Valentina Zaccaria 20th European Conference on e-Learning (ECEL)
Feasibility study on the use of electrolyzers for short term energy storage (Sep 2021) Esin Iplik, Johannes Warsinski , Ioanna Aslanidou, Konstantinos Kyprianidis 62nd SIMS conference on Simulation and Modelling (SIMS)
Prediction of the critical heat flux using parametric Gaussian process regression (Jul 2021) Jerol Soibam, Achref Rabhi, Ioanna Aslanidou, Konstantinos Kyprianidis, Rebei Bel Fdhila 15th International Conference on Heat Transfer, Fluid Mechanics and Thermodynamics (HEFAT2021) (HEFAT)
Crude-specific optimal operation of hydrodesulfurization (May 2021) Esin Iplik, Ioanna Aslanidou, Konstantinos Kyprianidis 15th International conference on chemical and process engineering (ICHEAP15)
A Framework for Learning System for Complex Industrial Processes (Jan 2021) Moksadur Rahman, Amare Fentaye, Valentina Zaccaria, Ioanna Aslanidou, Erik Dahlquist, Konstantinos Kyprianidis AI and Learning Systems - Industrial Applications and Future Directions (intechopen)
|DigiBoil – Development of computational fluid dynamic boiling heat transfer models with applicability to high heat flux
|DISTRHEAT - Digital Intelligent and Scalable Control for Renewables in Heating Networks
|DYNOP - Dynamic Optimization of Biomass Conversion Processes
|FUDIPO - Future Directions of Production Planning and Optimized Energy – and Process Industries
|IFAISTOS - Intelligent electroFuel production for An Integrated STOrage System