Ο Δημήτρης Σωτηρόπουλος είναι Επίκουρος Καθηγητής, στο Τμήμα Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών του Πανεπιστημίου Πελοποννήσου με γνωστικό αντικείμενο «Μαθηματικά για Μηχανικούς (Engineering Mathematics)». Είναι κάτοχος πτυχίου Μαθηματικών (1995) με κατεύθυνση «Πληροφορικής και Υπολογιστικών Μαθηματικών» και Διδακτορικού Διπλώματος (2005) στην περιοχή της Ολικής Βελτιστοποίησης με Διαστηματική Ανάλυση (Interval Analysis). Συνολικά έχει περισσότερα από 20 έτη διδακτική εμπειρία στην Τριτοβάθμια Εκπαίδευση και έχει συμμετάσχει σε διάφορα εθνικά και διεθνή επιστημονικά συνέδρια. Είναι συγγραφέας ή συν-συγγραφέας 48 άρθρων σε διεθνή επιστημονικά περιοδικά και σε πρακτικά διεθνών συνεδρίων και έχει λάβει περισσότερες από 560 αναφορές από άλλους ερευνητές. Έχει υπάρξει διδάσκων Π.Δ. 407/80 στο Τμήμα Πληροφορικής του Ιονίου Πανεπιστημίου, στο Τμήμα Επιστήμης και Τεχνολογίας Υπολογιστών του Πανεπιστημίου Πελοποννήσου και είναι μέλος ΣΕΠ του Ελληνικού Ανοικτού Πανεπιστημίου από το 2009 στο μεταπτυχιακό πρόγραμμα σπουδών «Μεταπτυχιακές Σπουδές στα Μαθηματικά» στην θεματική ενότητα «ΜΣΜ61/80-Υπολογιστικές Μέθοδοι και Λογισμικό στα Μαθηματικά», όπου και έχει επιβλέψει περισσότερες από 20 Μεταπτυχιακές Διπλωματικές Εργασίες σε θέματα του ερευνητικού του ενδιαφέροντος. Είναι επιβλέπων καθηγητής τριών (3) διδακτορικών διατριβών στο τμήμα ΗΜΜΥ καθώς και μέλος τριμελούς συμβουλευτικής επιτροπής  σε άλλες τρεις (3) διδακτορικές διατριβές.

Μαθήματα που έχει διδάξει στο τμήμα ΗΜΜΥ: 

• Υπολογιστικές Μέθοδοι για Μηχανικούς
• Προηγμένοι αλγόριθμοι και Βελτιστοποίηση
• Λειτουργικά Συστήματα
• Αρχές Τηλεπικοινωνιακών Συστημάτων 
• Γραμμική Άλγεβρα
• Μαθηματικός Λογισμός Ι
• Μαθηματικός Λογισμός ΙΙ
• Μαθηματικά ΙΙΙ

• Αξιόπιστοι υπολογισμοί (Reliable computing)
• Διαστηµατική Ανάλυση (Interval Analysis)
• Ποσοτικοποίηση αβεβαιότητας (Uncertainty quantification)
• Πολυκριτήρια ανάλυση αποφάσεων (Multi-Criteria Decision-Making)
• Μαθηματικές μέθοδοι βελτιστοποίησης
• Αλγόριθμοι ολικής βελτιστοποίησης (αιτιοκρατικοί/στοχαστικοί)
• Αριθμητική επίλυση µη γραμμικών συστημάτων
• Εκπαίδευση Τεχνητών Νευρωνικών Δικτύων
• Μηχανική Μάθηση και Εξόρυξη Δεδομένων

Διδακτορική Διατριβή 

Τίτλος διατριβής: «∆ιαστηµατική Ανάλυση και Ολική Βελτιστοποίηση». Πανεπιστήµιο Πατρών, Τµήµα Μαθηµατικών, Μάϊος 2005. http://dx.doi.org/10.12681/eadd/14327

Περιοχή: Μαθηµατικός Προγραµµατισµός, Αριθµητική Ανάλυση, Ανάλυση ∆ιαστηµάτων.

Άρθρα σε Διεθνή Επιστημονικά Περιοδικά με Κριτές

J1. D.G. Sotiropoulos, E.C. Stavropoulos, and M.N. Vrahatis. A new hybrid genetic algorithm for global optimization. Nonlinear Analysis, Theory, Methods & Applications, Vol. 30(7), pp. 4529-4538, 1997. https://doi.org/10.1016/S0362-546X(96)00367-7

J2. D.G. Sotiropoulos and T.N. Grapsa. Optimal centers in branch-and-prune algorithms for univariate global optimization. Applied Mathematics and Computation, Vol. 169(1), pp. 247-277, 2005. https://doi.org/10.1016/j.amc.2004.10.050

J3. D.G. Sotiropoulos. Solving discrete minimax problems using interval arithmetic. Pacific Journal of Optimization, Vol. 2(2), pp. 241-259, 2006. http://www.ybook.co.jp/online-p/PJO/vol2/pjov2n2p241.pdf

J4. M.S. Apostolopoulou, D.G. Sotiropoulos, and P. Pintelas. Solving the quadratic trust-region subproblem in a low-memory BFGS framework. Optimization Methods and Software, Vol. 23(5), pp. 651-674, 2008. https://doi.org/10.1080/10556780802413579

J5. S. Sioutas, D. Sofotassioss, K. Tsichlas, D.G. Sotiropoulos, and P. Vlamos. Canonical polygon Queries on the plane: A new approach. Journal of Computers, Vol. 4, No. 9, pp. 913-919, 2009. https://doi.org/10.48550/arXiv.0805.2681

J6. M.S. Apostolopoulou, D.G. Sotiropoulos, and C.A. Botsaris. A curvilinear method based on minimal memory BFGS updates. Applied Mathematics and Computation, Vol. 217, No. 2, pp. 882-892, 2010. https://doi.org/10.1016/j.amc.2010.06.032

J7. M.S. Apostolopoulou, D.G. Sotiropoulos, C.A. Botsaris, and P. Pintelas. A practical method for solving large-scale TRS. Optimization Letters, Vol. 5, No. 2, pp. 207-227, 2011. https://doi.org/10.1007/s11590-010-0201-2

J8. A. Liapis, C. Katsanos, D.G. Sotiropoulos, N. Karousos and M. Xenos. Stress in Human-Computer Interaction: Analysis of the Valence−Arousal Space Based on Physiological Signals and Self-Reported Data. Multimedia Tools and Applications, Vol. 76, No. 4, pp. 5051-5071, 2017. https://doi.org/10.1007/s11042-016-3637-2

J9. D.G. Sotiropoulos and K.I. Tserpes. Interval-Based Computation of the Uncertainty in the Mechanical Properties and the Failure Analysis of Unidirectional Composite Materials. Mathematical and Computational Applications, Vol. 27(3), 38, 2022. https://doi.org/10.3390/mca27030038

J10. A.A. Anagnostopoulou, D.G. Sotiropoulos and K.I. Tserpes. A Robust Sustainability Assessment Methodology for Aircraft Parts: Application to a Fuselage Panel. Sustainability, Vol. 17(8), 3299, 2025. https://doi.org/10.3390/su17083299

Κεφάλαια Βιβλίων & Συλλογικοί Τόμοι με Κριτές

V1. M.N. Vrahatis, D.G. Sotiropoulos, and E.C. Triantafyllou. Global optimization for imprecise problems. In: Developments in Global Optimization, Nonconvex Optimization and Its Applications,  vol 18. Springer, Boston, MA., pp 37–54, 1997. https://doi.org/10.1007/978-1-4757-2600-8_3

V2. V.P. Plagianakos, D.G. Sotiropoulos, and M.N. Vrahatis. Automatic adaptation of learning rate for backpropagation neural networks. In: Recent Advances in Circuits and Systems, N.E. Mastorakis ed., World Scientific Publishing, Singapore, pp. 337–341, 1998. ISBN: 978-9810236441.

V3. V.P. Plagianakos, D.G. Sotiropoulos, and M.N. Vrahatis. Integer Weight Training by Differential Evolution Algorithms. In: Recent Advances in Circuits and Systems, N.E. Mastorakis ed., World Scientific Publishing, Singapore, pp. 327–331, 1998. ISBN: 978-9810236441.

V4. D.G. Sotiropoulos, and T.N. Grapsa. A branch–and–prune method for global optimization: The univariate case. In: Krämer, W., von Gudenberg, J.W. (eds) Scientific Computing, Validated Numerics, Interval Methods. Springer, Boston, MA, pp. 215–226, 2001. https://doi.org/10.1007/978-1-4757-6484-0_18

V5. J. Díaz, G. Grammatikopoulos, A.C. Kaporis, L.M. Kirousis, X. Pérez, and D.G. Sotiropoulos. 5-regular graphs are 3-colorable with positive probability. In: Brodal, G.S., Leonardi, S. (eds) Algorithms – ESA 2005. Lecture Notes in Computer Science, Vol. 3669, pp. 215-225, Springer, Berlin, Heidelberg, 2005. https://doi.org/10.1007/11561071_21

V6. A. Liapis, C. Katsanos, D.G. Sotiropoulos, M. Xenos and N. Karousos. Recognizing Emotions in Human Computer Interaction: Studying Stress Using Skin Conductance. In: Abascal, J., Barbosa, S., Fetter, M., Gross, T., Palanque, P., Winckler, M. (eds) Human-Computer Interaction – INTERACT 2015. Lecture Notes in Computer Science, Vol. 9296, pp. 255-262, Springer, Cham, 2015. https://doi.org/10.1007/978-3-319-22701-6_18

V7. A. Liapis, C. Katsanos, D.G. Sotiropoulos, M. Xenos, N. Karousos and Th. Orphanoudakis. Stress Heatmaps: a Fuzzy-based Approach that Uses Physiological Signals. In: Marcus, A., Rosenzweig, E. (eds) Design, User Experience, and Usability. Case Studies in Public and Personal Interactive Systems. HCII 2020. Lecture Notes in Computer Science, Vol. 12202, pp. 268-277, Springer, Cham, 2020. https://doi.org/10.1007/978-3-030-49757-6_19

Πρακτικά Συνεδρίων με Κριτές

C1. D.G. Sotiropoulos and T.N. Grapsa. An interval branch and bound algorithm for global optimization using pruning steps.  In: Proceedings of the 5th Hellenic European Conference on Computer Mathematics and its Applications (HERCMA 2001), E.A. Lipitakis (ed.), Vol. 2, pp. 455–459, LEA Press, Athens, Greece, 2002. https://www.aueb.gr/conferences/hercma2001/

C2. D.G. Sotiropoulos, V.P. Plagianakos, and M.N. Vrahatis. An evolutionary algorithm for minimizing multimodal functions. In: Proceedings of the 5th Hellenic European Conference on Computer Mathematics and its Applications (HERCMA 2001), E.A. Lipitakis ed., Vol. 2, pp. 496–500, LEA Press, Athens, Greece, 2002. https://www.aueb.gr/conferences/hercma2001/

C3. D.G. Sotiropoulos, J.A. Nikas, and T.N. Grapsa. Improving the efficiency of a polynomial system solver via a reordering technique. In: Proceedings of the 4th GRACM Congress on Computational Mechanics (GRACM2002), Demos T. Tsahalis (ed.), Vol. III, pp. 970-977, 2002.

C4. D.G. Sotiropoulos, A.E. Kostopoulos, and T.N. Grapsa. A spectral version of Perry’s conjugate gradient method for neural network training. In: Proceedings of the 4th GRACM Congress on Computational Mechanics (GRACM 2002), Demos T. Tsahalis (ed.), Vol. I, pp. 291–298, 2002.

C5. G.E. Manoussakis, D.G. Sotiropoulos, C.A. Botsaris, and T.N. Grapsa. A nonmonotone conic method for unconstrained optimization. In: Proceedings of 4th GRACM Congress on Computational Mechanics (CRACM2002), Demos T. Tsahalis (ed.), Vol. I, pp. 172–179, 2002.

C6. G.E. Manoussakis, D.G. Sotiropoulos, T.N. Grapsa, and C.A. Botsaris. A non-monotone dimension-reducing conic method for unconstrained optimization. In: Proceedings of the 1st International Conference “From Scientific Computing to Computational Engineering”, Demos T. Tsahalis (ed.), Vol. I, pp. 74–81, 2004.

C7. A.E. Kostopoulos, D.G. Sotiropoulos, and T.N. Grapsa. A new efficient variable learning rate for Perry’s spectral conjugate gradient training method. In: Proceedings of the 1st International Conference “From Scientific Computing to Computational Engineering”, Demos T. Tsahalis (ed.), Vol. I, pp. 67–73, 2004.

C8. A.E. Kostopoulos, D. Glotsos, P. Spyridonos, G. Nikiforidis, D.G. Sotiropoulos and T.N. Grapsa. Comparative evaluation of feedforward and probabilistic neural networks for the automatic classification of brain tumours. In: Proceedings of the 1st International Conference “From Scientific Computing to Computational Engineering”, Demos T. Tsahalis ed., Vol. I, pp. 309–315, 2004.

C9. D.G. Sotiropoulos, A.E. Kostopoulos and T.N. Grapsa. Training neural networks using two-point stepsize gradient methods. In: ICNAAM 2004 - International Conference of Numerical Analysis and Applied Mathematics 2004: Proceedings, T.E. Simos and Ch. Tsitouras (eds.), pp. 356–359, Wiley-VCH Verlag, Weinheim, 2004.

C10. D.G. Sotiropoulos and T.N. Grapsa. An interval branch-and-prune algorithm for discrete minimax problems. In: ICNAAM 2004 - International Conference of Numerical Analysis and Applied Mathematics 2004: Proceedings, T.E. Simos and Ch. Tsitouras (eds.), pp. 352–355, Wiley-VCH Verlag, Weinheim, 2004.

C11. D.G. Sotiropoulos. Solving discrete minimax problems using interval arithmetic. In: A. Rubinov and M. Sniedovich (eds), Proceedings of the Sixth International Conference on Optimization: Techniques and Applications (ICOTA6 2004), University of Ballarat, Ballarat, Australia, December 9-11, 2004. ISBN: 1-876-85115-5.

C12. I.A. Nikas, D.G. Sotiropoulos and T.N. Grapsa. Extending interval Newton method for nonlinear parameterized equations. In: ICNAAM 2006 - International Conference of Numerical Analysis and Applied Mathematics 2006: Proceedings, T.E. Simos, G. Psihoyios, Ch. Tsitouras (Eds.), pp. 512–515, Wiley-VCH Verlag, Weinheim, 2006.

C13. D.G. Sotiropoulos and I.E. Livieris. A greedy approach to transversal selection for nonlinear systems of equations. In: Proceedings of NumAn 2007 Conference: Recent Approaches to Numerical Analysis: Theory, Methods and Applications,  September 3-7, 2007 Kalamata, Hellas, pp. 134–137, 2007.

C14. M.S. Apostolopoulou, D.G. Sotiropoulos and C.A. Botsaris. A Curvilinear Method for Large Scale Optimization Problems. In: Proceedings of the 8th Hellenic European Research on Computer Mathematics and its Applications (HERCMA 2007), A.E. Lipitakis ed., LEA Publishers, 2007. ISBN: 978-960-88975-3-3.

C15. Μ.Σ. Αποστολοπούλου, ∆.Γ. Σωτηρόπουλος, Χ. Μπότσαρης. Ελαχιστοποίηση Τετραγωνικών Συναρτήσεων που υπόκεινται σε ένα Τετραγωνικό Περιορισµό. In: Πρακτικά 20ου Εθνικού Συνεδρίου της Ελληνικής Εταιρείας Επιχειρησιακών Ερευνών «Επιχειρησιακή Έρευνα & Τουριστική Ανάπτυξη», σελ. 827–838, Σπέτσες, Ελλάδα, 19-21 Ιουνίου, 2008.

C16. M.S. Apostolopoulou, D.G. Sotiropoulos, C.A. Botsaris and P. Pintelas. A nearly exact method for solving large-scale TRS. In: Proceedings of the 7th IEEE International Conference on Industrial Informatics (INDIN 2009), June 24-26, 2009, Cardiff, Wales, UK, pp. 337-342. IEEE, 2009. https://doi.org/10.1109/INDIN.2009.5195827

C17. M.S. Apostolopoulou, D.G. Sotiropoulos, I.E. Livieris and P. Pintelas. A memoryless BFGS neural network training algorithm. In: Proceedings of the 7th IEEE International Conference on Industrial Informatics (INDIN 2009), Cardiff, UK, 24-26 June 2009, pp. 216-221. IEEE. https://doi.org/10.1109/INDIN.2009.5195806

C18. I.E. Livieris, M.S. Apostolopoulou, D.G. Sotiropoulos, S.A. Sioutas and P. Pintelas. Classification of Large Biomedical Data using ANNs based on BFGS method. In: Proceedings of the 13th Panhellenic Conference on Informatics (PCI 2009), September 10-12, 2009, Corfu, Greece, pp. 87–91. IEEE Computer Society, 2009. https://doi.org/10.1109/PCI.2009.32

C19. I.E. Livieris, D.G. Sotiropoulos, and P. Pintelas. On Descent Spectral CG algorithms for Training Recurrent Neural Networks. In: Proceedings of the 2009 13th Panhellenic Conference on Informatics (PCI 2009), September 10-12, 2009, Corfu, Greece, pp. 65–69. IEEE Computer Society, 2009.  https://doi.org/10.1109/PCI.2009.33

C20. A. Liapis, C. Katsanos, D.G. Sotiropoulos, M. Xenos, and N. Karousos. Subjective Assessment of Stress in HCI: A Study of the Valence-Arousal Scale using Skin Conductance. In: Bottoni, P., Catarci, T., De Marsico, M., Fogli, D. (eds) Proceedings of the 11th Biannual Conference of the Italian SIGCHI Chapter (CHItaly 2015), pp. 174-177, ACM, New York, NY, USA, 2015. https://doi.org/10.1145/2808435.2808450

C21. A. Liapis, C. Katsanos, D.G. Sotiropoulos, M. Xenos, and N. Karousos (2015). Stress recognition in human-computer interaction using physiological and self-reported data: a study of gender differences. In:  Karanikolas, N.N., Akoumianakis, D., Nikolaidou, M., Vergados, D.D., Xenos, M., Giaglis, G.M., Gritzalis, S., Merakos, L.F., Tsanakas, P., Sgouropoulou, C. (eds) Proceedings of the 19th Panhellenic Conference on Informatics (PCI '15), pp. 323-328, ACM, New York, NY, USA, 2015. https://doi.org/10.1145/2801948.2801964

C22. G. Floros, D. G. Sotiropoulos, K. Tserpes and D. Tsourounis. A digital twin of a fiber Bragg grating network in the leading edge of a rotating composite fan blade subjected to bird strike. In: Saravanos, D. (ed.) Proceedings of the 10th ECCOMAS Thematic Conference on Smart Structures and Materials (SMART 2023), pp. 1863–1875, July 3-5, 2023.   https://doi.org/10.7712/150123.9956.445571

C23. D.G. Sotiropoulos and S.P. Adam. Interval-Based Uncertainty Propagation for Multimodal Response Functions. In: Proceedings of SWIM 2023: 14th Summer Workshop on Interval Methods, N. Delanoue, S. Lahaye, S. Lagrange, R. Guyonneau, F. Mercier, M.-F. Gérard (eds), pp. 65–68, Angers, France, June 27–29, 2023. Published October 3, 2023. https://doi.org/10.5281/zenodo.8401730

C24. A.A. Anagnostopoulou, K.I. Tserpes, D.G. Sotiropoulos, G.N. Lampeas, J.R. González-Teodoro, and B. Carrasco Loras. Sustainability Assessment of Composite Aircraft Liquid Hydrogen Tanks Using Multi-Criteria Decision-Making Methods. Proceedings of the 21st European Conference on Composite Materials (ECCM21), Vol. 8, pp. 680-687, 2024. https://doi.org/10.60691/yj56-np80

C25. E. M. K. Goula and D. G. Sotiropoulos. HRA: A Multi‑Criteria Framework for Ranking Metaheuristic Optimization Algorithms. In: Proceedings of the 2024 Sixth International Conference on Intelligent Computing in Data Sciences (ICDS 2024), pp. 1–8, Morocco, October 23-24, 2024. IEEE.     https://doi.org/10.1109/ICDS62089.2024.10756478

C26. E.V. Aretos and D.G. Sotiropoulos. SEF: A Method for Computing Prediction Intervals by Shifting the Error Function in Neural Networks. In: Proceedings of the 2024 IEEE International Conference on Computer and Applications (ICCA), pp. 1–8, The British University in Egypt, Cairo, Egypt, December 17–19, 2024. IEEE. https://doi.org/10.1109/ICCA62237.2024.10927749

C27. A. Anagnostopoulou, D.G. Sotiropoulos, G. Floros, and K. Tserpes. Towards the Development of an Eco-Design Approach for Aircraft Components.  Engineering Proceedings, Vol. 90(1), 81, 2025. https://doi.org/10.3390/engproc2025090081

Ελληνικές Δημοσιεύσεις

D1. Β. Γκόνη, Δ.Γ. Σωτηρόπουλος. Αριθμητική Αποτίμηση Μεθόδων Υποχώρου Krylov με Χρήση Εξισορρόπησης και Προρρύθμισης του Πίνακα Συντελεστών. Επιστημονικό Δελτίο της Σχολής Θετικών Επιστημών και Τεχνολογίας, Ελληνικό Ανοικτό Πανεπιστήμιο, Τόμος Α', σελ. 1-4, 2022.  https://sst.eap.gr/bulletin2022a/

D2. Ε. Αρετός, Δ.Γ. Σωτηρόπουλος. Τεχνητά Νευρωνικά Δίκτυα και Εφαρμογές αυτών στην Εκπαίδευση. Επιστημονικό Δελτίο της Σχολής Θετικών Επιστημών και Τεχνολογίας, Ελληνικό Ανοικτό Πανεπιστήμιο, Τόμος Β', σελ. 61-65, 2022.  https://sst.eap.gr/bulletin2022b/

D3. Ε.-Μ. Γούλα, Δ.Γ. Σωτηρόπουλος. Ολική Βελτιστοποίηση: Μέθοδος της Διαφορικής Εξέλιξης και Παραλλαγές. Επιστημονικό Δελτίο της Σχολής Θετικών Επιστημών και Τεχνολογίας, Ελληνικό Ανοικτό Πανεπιστήμιο, Τόμος Β', σελ. 66-70, 2022.  https://sst.eap.gr/bulletin2022b/  

Ανακοινώσεις σε Συνέδρια με Πρακτικά Περιλήψεων

O1. D. G. Sotiropoulos, E. C. Stavropoulos, and M. N. Vrahatis. A Combined Method for Global Optimization over Continuous Spaces. Presented at the International Conference on Combinatorial and Global Optimization, Chania, Crete, Greece, May 25-29, 1998.

O2. D.G. Giakovis, E.C. Stavropoulos, D.G. Sotiropoulos, and M.N. Vrahatis. A Robust Composite Method for Neural Networks Training. Presented at the Second European Congress of Mathematics, Budapest, Hungary, July 21-27, 1996 (poster session).

O3. D.G. Sotiropoulos and M.N. Vrahatis. A method for solving the clustering problem with certainty. Presented at the Second European Congress of Mathematics, Budapest, Hungary, July 21-27, 1996 (poster session).

O4. D.G. Sotiropoulos. An interval algorithm for global optimization using evolution strategies. Presented at the International Conference on Nonlinear Programming and Variational Inequalities, Hong Kong, December 15-18, 1998.

O5. D.G. Sotiropoulos and T.N. Grapsa. A branch and prune interval algorithm for global optimization: the one-dimensional case. Presented at EURO XVII, 17th European Conference on Operational Research, July 16-19, 2000, Budapest, Hungary.

O6. M.S. Apostolopoulou, D.G. Sotiropoulos and P. Pintelas. A 2-BFGS Updating in a Trust Region Framework. Presented at EUROPT-OMS meeting 2007 - 2nd Conference on Optimization Methods & Software and 6th EUROPT Workshop on Advances in Continuous Optimization, Prague, Czech Republic, July 4-7, 2007.

O7. M.S. Apostolopoulou, D.G. Sotiropoulos and P. Pintelas. Limited Memory Quasi-Newton Methods for the Large-Scale Trust Region Subproblem. Presented at EURO XXII - 22nd European Conference on Operational Research, Prague, Czech Republic, July 8-11, 2007.

O8. M.S. Apostolopoulou, D.G. Sotiropoulos and P. Pintelas. Computing a Trust Region Step Using Limited Memory Quasi-Newton Methods. Presented at OPTIMIZATION 2007 - 6th international conference on Optimization, Porto, Portugal, July 22-25, 2007.

O9. M.S. Apostolopoulou, D.G. Sotiropoulos and P. Pintelas. On the L-BFGS Method for the Large-Scale Trust Region Subproblem. Presented at IMA Conference on Numerical Linear Algebra and Optimisation - University of Birmingham, United Kingdom, September 13-15, 2007.

O10. D.G. Sotiropoulos and K.I. Tserpes. An Interval‑Based Approach for the Computation of Uncertainty in the Micromechanical Properties of Unidirectional Composite Materials. In: Presentations to 8th ECCOMAS Thematic Conference on the Mechanical Response of Composites (COMPOSITES 2021), Sept 2021. https://doi.org/10.23967/composites.2021.009

Τεχνικές Αναφορές / Προδημοσιεύσεις

Τ1. V.P. Plagianakos, D.G. Sotiropoulos, and M.N. Vrahatis. Evolutionary algorithms for integer weight neural network training, Department of Mathematics, University of Patras, Technical Report No. 98-01, 1998.

Τ2. V.P. Plagianakos, D.G. Sotiropoulos, and M.N. Vrahatis. An improved backpropagation method with adaptive learning rate, Department of Mathematics, University of Patras, Technical Report No. 98-02, 1998.

Τ3. D.G. Sotiropoulos, V.P. Plagianakos, and M.N. Vrahatis. An evolutionary algorithm for minimizing multimodal functions, Department of Mathematics, University of Patras, Technical Report No. 98-03, 1998.

Τ4. V.P. Plagianakos, D.G. Sotiropoulos, and M.N. Vrahatis. A nonmonotone backpropagation training method for neural networks, Department of Mathematics, University of Patras, Technical Report No. 98-04, 1998.

Τ5. D.G. Sotiropoulos, A.E. Kostopoulos, and T.N. Grapsa. A spectral version of Perry’s conjugate gradient method for neural network training, Department of Mathematics, University of Patras, Technical Report No. 02-04, 2002.

Τ6. D.G. Sotiropoulos, J.A. Nikas, and T.N. Grapsa. Improving the efficiency of a polynomial system solver via a reordering technique, Department of Mathematics, University of Patras, Technical Report No. 02-03, 2002.

Τ7. M.S. Apostolopoulou, D.G. Sotiropoulos, and P. Pintelas. A 2-BFGS updating in a trust region framework, Department of Mathematics, University of Patras, Technical Report No. 07-01, June 2007.

Τ8. M.S. Apostolopoulou, D.G. Sotiropoulos, C.A. Botsaris and P. Pintelas. A practical method for solving large-scale TRS, Department of Mathematics, University of Patras, Technical Report No. 09-01, March 2009.

Τ9. E. M. K. Goula and D. G. Sotiropoulos. HRA: A Multi‑Criteria Framework for Ranking Metaheuristic Optimization Algorithms.  arXiv preprint arXiv:2409.11617 (September 2024). https://doi.org/10.48550/arXiv.2409.11617

Τ10. E.V. Aretos and D.G. Sotiropoulos. SEF: A Method for Computing Prediction Intervals by Shifting the Error Function in Neural Networks. arXiv preprint arXiv:2409.05206 (September 2024). https://doi.org/10.48550/arXiv.2409.05206

Τ11. A.A. Anagnostopoulou, D.G. Sotiropoulos and K.I. Tserpes. A Robust Sustainability Assessment Methodology for Aircraft Parts: Application to a Fuselage Panel. arXiv preprint arXiv:2412.07421 (December 2024). https://doi.org/10.48550/arXiv.2412.07421

Τ12. A.A. Anagnostopoulou, D.G. Sotiropoulos, I. Sioutis and K.I. Tserpes. Sustainability-Driven Design Optimization of Aircraft Parts Using Mathematical Modeling. Preprints.org (December 2025). DOI:10.20944/preprints202512.1064.v1. 

Βιβλία / Εκπαιδευτικό Υλικό

Η1. Υπολογιστικές μέθοδοι με το λογισμικό SageMath (1η έκδοση). Ν. Καραχάλιος,  Δ. Σωτηρόπουλος, Ν. Τσίτσας, Φεβρουάριος 2025. Εκπαιδευτικό σύγγραμμα ΕΑΠ (Θ.Ε. ΜΣΜ80).