Η Ασπασία Δασκαλοπούλου είναι Αναπληρώτρια  Καθηγήτρια στο Τμήμα Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών. Τα κύρια ερευνητικά της ενδιαφέροντα είναι: ανάλυση και σχεδιασμός δυναμικών κανονιστικών συστημάτων, θεωρητικές θεμελιώσεις τεχνολογίας λογισμικού, κατανεμημένη τεχνητή νοημοσύνη, εφαρμοσμένη Λογική, ευφυή συστήματα ενέργειας.

Έχει συμμετάσχει σε διάφορα ευρωπαϊκά ερευνητικά προγράμματα και διεθνείς ομάδες εργασίας και συνεργαστεί σε χρηματοδοτούμενα έργα με τα ερευνητικά κέντρα Hewlett-Packard Research Laboratories και Rutherford Appleton Laboratory.

Οι προηγούμενες ακαδημαϊκές θέσεις της ήταν στο Brunel University (1996-1999), στο Open University UK (1999-2000) και στο King's College, University of London.

Recent Publications

• Chroneos, A., Daskalopulu, A., Goulatis, I., Vovk, R. V., & Tsoukalas, L. H. (2025). A Perspective on Small Μodular Reactors: A Case Study for Greece. East European Journal of Physics, (2), 17-26. https://doi.org/10.26565/2312-4334-2025-2-02
• Balaouras, V., Kelaidis, N., Daskalopulu, A. et al. Ionic diffusion in post-lithium batteries. J Solid State Electrochem (2025). https://doi.org/10.1007/s10008-025-06278-1
• Vontzos, G., Laitsos, V., Bargiotas, D., Fevgas, A., Daskalopulu, A., & Tsoukalas, L. H. (2025). Microgrid Multivariate Load Forecasting Based on Weighted Visibility Graph: A Regional Airport Case Study. Electricity, 6(2), 17. https://doi.org/10.3390/electricity6020017
• Ioannis Goulatis, Aspassia Daskalopulu, Andrei L. Solovjov, Ruslan V. Vovk, Alexander Chroneos; Superconducting materials for fusion reactors: A brief review. Low Temp. Phys. 1 November 2024; 50 (11): 1023–1029. https://doi.org/10.1063/10.0030420
• Kontogiannis, D.; Bargiotas, D.; Fevgas, A.; Daskalopulu, A.; Tsoukalas, L.H. Combinatorial Component Day-Ahead Load Forecasting through Unanchored Time Series Chain Evaluation. Energies 2024, 17, 2844. https://doi.org/10.3390/en17122844
• Zhu, M.; Arabi Nowdeh, S.; Daskalopulu, A. An Improved Human-Inspired Algorithm for Distribution Network Stochastic Reconfiguration Using a Multi-Objective Intelligent Framework and Unscented Transformation. Mathematics 2023, 11, 3658. https://doi.org/10.3390/math11173658

• Sgourou, E.N.; Daskalopulu, A.; Tsoukalas, L.H.; Goulatis, I.L.; Vovk, R.V.; Chroneos, A. Kinetics of Ions in Post-Lithium Batteries. Appl. Sci. 2023, 13, 9619. https://doi.org/10.3390/app13179619

• Alexander Chroneos, Ioannis Goulatis, Aspassia Daskalopulu, Lefteri H. Tsoukalas,Thorium fuel revisited, Progress in Nuclear Energy, Volume 164, 2023, 104839, ISSN 0149-1970, https://doi.org/10.1016/j.pnucene.2023.104839.

• Bousia, A.; Daskalopulu, A.; Papageorgiou, E.I. An Auction Pricing Model for Energy Trading in Electric Vehicle Networks. Electronics 2023, 12, 3068.  https://doi.org/10.3390/electronics12143068

• Laitsos, V.; Vontzos, G.; Bargiotas, D.; Daskalopulu, A.; Tsoukalas, L.H. Enhanced Automated Deep Learning Application for Short-Term Load Forecasting. Mathematics 2023, 11, 2912. https://doi.org/10.3390/math11132912
• Sgourou, E.N.; Daskalopulu, A.; Tsoukalas, L.H.; Stamoulis, G.; Vovk, R.V.; Chroneos, A. Seventy-Five Years since the Point-Contact Transistor: Germanium Revisited. Appl. Sci. 2022, 12, 11993. https://doi.org/10.3390/app122311993
• Bousia, A.; Daskalopulu, A.; Papageorgiou, E.I. Double Auction Offloading for Energy and Cost Efficient Wireless Networks. Mathematics 2022, 10, 4231. https://doi.org/10.3390/math10224231
• Daskalopulu, A., Tsoukalas, L.H., Bargiotas, D. (2022). Normative and Fuzzy Components of Medical AI Applications. In: Virvou, M., Tsihrintzis, G.A., Bourbakis, N.G., Jain, L.C. (eds) Handbook on Artificial Intelligence-Empowered Applied Software Engineering. Artificial Intelligence-Enhanced Software and Systems Engineering, vol 3. Springer, Cham. https://doi.org/10.1007/978-3-031-07650-3_10
• Kontogiannis, D.; Bargiotas, D.; Daskalopulu, A.; Arvanitidis, A.I.; Tsoukalas, L.H. (2022). Structural Ensemble Regression for Cluster-Based Aggregate Electricity Demand Forecasting. Electricity 2022, 3, 480-504. https://doi.org/10.3390/electricity3040025
•  Sgourou, E.N.; Daskalopulu, A.; Goulatis, I.; Panayiotatos, Y.; Solovjov, A.L.; Vovk, R.V.; Chroneos, A. (2022). Modelling the Defect Processes of Materials for Energy Applications.  Sci.2022, 12, 9872. https://doi.org/10.3390/app12199872
• Kontogiannis, D.; Bargiotas, D.; Daskalopulu, A.; Arvanitidis, A.I.; Tsoukalas, L.H. (2022). Error Compensation Enhanced Day-Ahead Electricity Price Forecasting. Energies 2022, 15, 1466.  https://doi.org/10.3390/en15041466
•  Arvanitidis, A.I.; Bargiotas, D.; Daskalopulu, A.; Kontogiannis, D.; Panapakidis, I.P.; Tsoukalas L.H. (2022). Clustering Informed MLP Models for Fast and Accurate Short-Term Load Forecasting. Energies 2022, 15, 1295. https://doi.org/10.3390/en15041295