ΔΙΔΑΚΤΙΚΑ ΑΝΤΙΚΕΙΜΕΝΑ

Τρέχον Ακαδημαϊκό Έτος:

• Πληροφορικής της Υγείας
• Βιοστατιστική
• Βιοπληροφορική
• Βιοϊατρικές Βάσεις Δεδομένων

Προηγούμενα Ακαδημαϊκά Έτη:

• Πληροφορική της Υγείας
• Βιοστατιστική
• Μεθοδολογία Έρευνας
• Υπολογιστική Νοημοσύνη
• Βιοπληροφορική
• Βιοϊατρικές Βάσεις Δεδομένων

 ΔΙΠΛΩΜΑΤΑ-ΑΚΑΔΗΜΑΪΚΟΙ ΤΙΤΛΟΙ

• Διδακτορικό Δίπλωμα: «Ανάπτυξη προηγμένων μοντέλων Υπολογιστικής Νοημοσύνης για την αντιμετώπιση πολύπλοκων προβλημάτων της Βιοπληροφορικής και της Επεξεργασίας Βιοσημάτων», Διατμηματικό Πρόγραμμα Μεταπτυχιακών Σπουδών στην Βιοϊατρική Τεχνολογία – Τμήμα Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών και Τμήμα Μηχανολόγων Μηχανικών, ΕΜΠ, Τμήμα Ιατρικής, Πανεπιστήμιο Πατρών, 2003
• Μεταπτυχιακό Δίπλωμα Ειδίκευσης: Διατμηματικό Πρόγραμμα Μεταπτυχιακών Σπουδών στην Βιοϊατρική Τεχνολογία – Τμήμα Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών και Τμήμα Μηχανολόγων Μηχανικών, ΕΜΠ, Τμήμα Ιατρικής, Πανεπιστήμιο Πατρών, 2000
• Δίπλωμα: Τμήμα Ηλεκτρολόγων Μηχανικών και Μηχανικών Η/Υ, ΑΠΘ, 1998

ΑΚΑΔΗΜΑΪΚΗ ΣΤΑΔΙΟΔΡΟΜΙΑ

2019- σήμερα                  Λέκτορας, Τμήμα Νοσηλευτικής, Πανεπιστήμιο Πατρών

2012- 2019                        Καθηγήγρια Εφαρμογών, Ειδικότητα «Πληροφορική», Τμήμα Κοινωνικής Εργασίας, ΤΕΙ Πάτρας

2008- 2013                        Διδάσκουσα σύμφωνα με το Π.Δ. 407/80 στο Τμήμα Μηχανικών Η/Υ και Πληροφορικής, Πανεπιστήμιο Πατρών – «Υπολογιστική Νοημοσύνη» και «Βιοπληροφορική»

2010-2012                         Επιστημονική Συνεργάτιδα, Τμήμα Κοινωνικής Εργασίας και Τμήμα Νοσηλευτικής, ΤΕΙ Πάτρας

2007-2010                         Καθηγήτρια Εφαρμογών με Ειδικότητα «Πληροφορική» στο ΤΕΙ Ιονίων Νήσων

2005-2007                         Εργαστηριακή Συνεργάτιδα, Τμήμα Ηλεκτρολογίας, ΣΤΕΦ, ΤΕΙ Πάτρας

ΕΠΑΓΓΕΛΜΑΤΙΚΗ ΣΤΑΔΙΟΔΡΟΜΙΑ – ΧΡΗΜΑΤΟΔΟΤΟΥΜΕΝΑ ΕΡΕΥΝΗΤΙΚΑ ΠΡΟΓΡΑΜΜΑΤΑ:              

  ΕΡΕΥΝΗΤΙΚΑ ΕΝΔΙΑΦΕΡΟΝΤΑ:

• Βιοϊατρική Πληροφορική
• Βιοπληροφορική
• Υπολογιστική Νοημοσύνη
• Μάθηση Μηχανής

 ΣΥΜΜΕΤΟΧΗ ΣΕ ΕΠΙΣΤΗΜΟΝΙΚΑ ΠΕΡΙΟΔΙΚΑ ΚΑΙ ΣΥΝΕΔΡΙΑ:

 Μέλος Οργανωτικής Επιτροπής Συνεδρίων και Workshops

 PC Member, 10^th International Conference on Information, Intelligence,  Systems and Applications, IISAA 2019 , Patras 15-17 July, Greece, 2019

• PC Member of the 3rd Workshop on New Methods and Tools for Big Data (MT4BD-2016), 16-18 September 2016, Thessaloniki – Greece
• PC Member of the 3rd Workshop on Mining Humanistic Data, AIAI 2014 10th International Conference on Artificial Intelligence Applications and Innovation 19-21 September, Rhodes, Greece, 2014
• Μέλος της Οργανωτικής Επιτροπής του Computational Intelligence Applications in Bioinformatics (CIAB 2013) Workshop, 14^th EANN Conference on Engineering Applications of Neural Networks 2013 (EANN 2013), Halkidiki, Greece, 13-16 September, 2013
• Μέλος της Οργανωτικής Επιτροπής του Computational Intelligence Applications in Bioinformatics (CIAB 2012) Workshop, International Conference on Engineering Applications of Neural Networks 2012 (EANN 2012), London, England, 20-23 September, 2012
• Μέλος της Οργανωτικής Επιτροπής του Computational Intelligence Applications in Bioinformatics (CIAB 2011) Workshop, Artificial Intelligence Applications and Innovations 2011 (EANN/AIAI 2011), Corfu Greece, September 2011
• Μέλος της Οργανωτικής Επιτροπής (Local Organizing Committee) του 2nd Summer School on Emerging Technologies in Biomedicine, Patras 20th June- 25th June 2004.

ΑΝΑΚΟΙΝΩΣΕΙΣ ΣΕ ΠΑΝΕΛΛΗΝΙΑ/ΔΙΕΘΝΗ ΣΥΝΕΔΡΙΑ: 47

 ΔΗΜΟΣΙΕΥΣΕΙΣ ΣΕ ΔΙΕΘΝΗ ΠΕΡΙΟΔΙΚΑ: 38

 ΔΗΜΟΣΙΕΥΣΕΙΣ ΣΕ ΕΛΛΗΝΙΚΑ/ΔΙΕΘΝΗ ΒΙΒΛΙΑ/ΚΕΦΑΛΑΙΑ ΒΙΒΛΙΩΝ: 3

 ΕΠΙΛΕΓΜΕΝΕΣ ΕΠΙΣΤΗΜΟΝΙΚΕΣ ΔΗΜΟΣΙΕΥΣΕΙΣ:

ΕΠΙΛΕΓΜΕΝΕΣ ΔΗΜΟΣΙΕΥΣΕΙΣ ΣΕ ΔΙΕΘΝΗ ΠΕΡΙΟΔΙΚΑ ΜΕ ΚΡΙΤΕΣ

• “Reducing Opioid Prescriptions by Identifying Responders on Topical Analgesic Treatment Using an Individualized Medicine and Predictive Analytics Approach”, Gudin, J., Mavroudi, S., Korfiati, A., Theofilatos, K., Dietze, D., & Hurwitz, P., Journal of Pain Research 13, 1255-1266, 2020,
  https://doi.org/10.2147/JPR.S246503
• “Discovery of stroke-related blood biomarkers from gene expression network models”, Theofilatos, K., Korfiati, A., Mavroudi, S. Cowperthwaite M., Shpak, M., BMC Med Genomics 12, 118, 2019, https://doi.org/10.1186/s12920-019-0566-8
• “An Adaptive Pipeline To Maximize Isobaric Tagging Data in Large-Scale MS-Based Proteomics”, Corthésy, J., Theofilatos, K., Mavroudi, S., Macron, C., Cominetti, O., Remlawi, M., … & Dayon, L., Journal of Proteome Research 17 (6), 2165-2173, 2018, https://doi.org/10.1021/acs.jproteome.8b00110
• “Prediction overlapping protein complexes from weighted protein interaction graphs by gradually expanding dense neighborhoods”, Dimitrakopoulos, C., Theofilatos, K., Pegkas, A., Likothanassis, S., & Mavroudi, S., Artificial intelligence in medicine, 71, 62-69, 2016, https://doi.org/10.1016/j.artmed.2016.05.006
• “Quo vadis computational analysis of PPI data or why the future isn’t here yet.”, Theofilatos, K. A., Likothanassis, S., & Mavroudi, S., Frontiers in genetics, 6, 289, 2015, https://doi.org/10.3389/fgene.2015.00289
• “Predicting Human miRNA Target Genes Using a Novel Computational Intelligent Framework”, Korfiati, A., Theofilatos, K., Kleftogiannis, D., Alexakos, C., Likothanassis, S., & Mavroudi, S., Information Sciences, 294, 576-585, 2015, http://dx.doi.org/10.1016/j.ins.2014.09.016
• “Predicting protein complexes from weighted protein–protein interaction graphs with a novel unsupervised methodology: evolutionary enhanced Markov clustering”, Theofilatos, K., Pavlopoulou, N., Papasavvas, C., Likothanassis, S., Dimitrakopoulos, C., Georgopoulos, E., … & Mavroudi, S., Artificial intelligence in medicine, 63 (3), 181-189., 2015, https://doi.org/10.1016/j.artmed.2014.12.012
• “ncRNAclass: A web platform for non-coding RNA feature calculation, microRNA prediction and microRNA target prediction”, Karathanou, K., Theofilatos, K., Kleftogiannis, D., Alexakos, C., Likothanassis, S., Tsakalidis, A., & Mavroudi, S., International Journal on Artificial Intelligence Tools, 24 (01), 1540002, 2015, https://doi.org/10.1142/S0218213015400023
• “YamiPred: A novel evolutionary method for predicting pre-miRNAs and selecting relevant features”, Kleftogiannis, D., Theofilatos, K., Likothanassis, S., & Mavroudi, S., IEEE/ACM transactions on computational biology and bioinformatics, 12 (5), 1183-1192, 2015,
  https://doi.org/10.1109/TCBB.2014.2388227
• “EnsembleGASVR: A novel ensemble method for classifying missense Single Nucleotide Polymorphisms.”, Rapakoulia, T., Theofilatos, K., Kleftogiannis, D., Likothanasis, S., Tsakalidis, A., & Mavroudi, S., Bioinformatics, 30 (16), 2324-2333, 2014, https://doi.org/10.1093/bioinformatics/btu297
• “A hybrid support vector fuzzy inference system for the classification of leakage current waveforms portraying discharges”, Theofilatos, K., Pylarinos, D., Likothanassis, S., Melidis, D., Siderakis, K., Thalassinakis, E., & Mavroudi, S., Electric Power Components and Systems, 42 (2), 180-189, 2014, https://doi.org/10.1080/15325008.2013.853217
• “The Human Interactome Knowledge Base (HINT-KB): an integrative human protein interaction database enriched with predicted protein–protein interaction scores using a novel hybrid technique”, Theofilatos, K., Dimitrakopoulos, C., Likothanassis, S., Kleftogiannis, D., Moschopoulos, C., Alexakos, C., … & Mavroudi, S., Artificial Intelligence Review, 42(3), 427-443, 2013, https://doi.org/10.1007/s10462-013-9409-8
• “Where we stand, where we are moving: Surveying computational techniques for identifying miRNA genes and uncovering their regulatory role”, Kleftogiannis, D., Korfiati, A., Theofilatos, K., Likothanassis, S., Tsakalidis, A., & Mavroudi, S., Journal of biomedical informatics, 46 (3), 563-573, 2013, https://doi.org/10.1016/j.jbi.2013.02.002
• “Computational Approaches for the Prediction of Protein-Protein Interactions: A Survey”, A Theofilatos, K., M Dimitrakopoulos, C., K Tsakalidis, A., D Likothanassis, S., T Papadimitriou, S., & P Mavroudi, S., Current Bioinformatics, 6(4), 398-414, 2011, https://doi.org/10.2174/157489311798072981
• “Mutual Information Clustering For Efficient Mining Of Fuzzy Association Rules With Application To Gene Expression Data Analysis”, Papadimitriou, S., Mavroudi, S., & Likothanassis, S. D., International Journal on Artificial Intelligence Tools, 15 (02), 227-250, 2006, https://doi.org/10.1142/S0218213006002643
• “Gene Expression Analysis with a Dynamically extended Self-Organized Map that exploits class information”, Mavroudi, S., Papadimitriou, S., & Bezerianos, A., Bioinformatics, 18(11), 1446-1453, 2002, https://doi.org/10.1093/bioinformatics/18.11.1446
• “Ischemia Detection with a Self Organizing Map supplemented by Supervised Learning”, Papadimitriou, S., Mavroudi, S., Vladutu, L., & Bezerianos, A., IEEE Transactions on Neural Networks, 12(3), 503-515, 2001, https://doi.org/10.1109/72.925554

ΕΠΙΛΕΓΜΕΝΕΣ ΔΗΜΟΣΙΕΥΣΕΙΣ ΣΕ ΚΕΦΑΛΑΙΑ ΒΙΒΛΙΩΝ

• “Computational intelligence: Recent advances, perspectives and open problems”, Theofilatos, K., Georgopoulos, E., Likothanassis, S., Mavroudi, S. Computational Intelligence Techniques for Trading and Investment, pp. 3-21. Taylor and Francis (Series: Advances in Experimental and Computable Economics), ISBN: 978-0-415-63680-3, 2014
• “Πρωτεϊνική Ανάλυση”, Χ. Μοσχόπουλος, Σ. Μαυρουδή, Σ. Κοσσίδα, Βιοπληροφορική – Δυνατότητες και Προοπτικές, Κεφάλαιο 11, σελ. 173-186, Εκδόσεις: Ίδρυμα Ιατροβιολογικών Ερευνών της Ακαδημίας Αθηνών, 2008

ΕΠΙΛΕΓΜΕΝΕΣ ΔΗΜΟΣΙΕΥΣΕΙΣ ΣΕ ΔΙΕΘΝΗ ΠΕΡΙΟΔΙΚΑ ΜΕ ΚΡΙΤΕΣ

• Gudin, J., Mavroudi, S., Korfiati, A., Theofilatos, K., Dietze, D., & Hurwitz, P. (2019, July). A precision medicine approach for non-opioid pain therapy using a combination of multi-objective optimization and support vector regression. In 2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA)(pp. 1-7). IEEE, Greece, DOI: 10.1109/IISA.2019.8900689
• Hastings, M., Theofilatos, K., Mavroudi, S., (2018). Combining network theory and machine learning to identify a diagnostic and prognostic biosignature for Glioblastoma, In Proceedings of the 11th annual RECOMB/ISCB Conference on Regulatory & Systems Genomics conference, New York City, USA, December 2018
• Theofilatos, K., Tatsi, K., Mavroudi, S., Georgakilas, A. (2017). Deciphering the impact of radiation therapies in molecular level using biological network based bioinformatics technique, In Proceedings of the CPRIT Innovations in Cancer Prevention and Research, Austin, USA November 2017
• Corthésy, J., Theofilatos, K., Mavroudi, S., Cominetti, O., Remlawi, M., Ferraro, F., Núñez Galindo, A., Montoliu, I., Kussmann, M., Likothanassis, S., Dayon, L., (2016). Maximizing shotgun proteomics isobaric tagging data output using MS/MS multi-objective optimization algorithm, In Proceedings of the American Society for Mass Spectrometry on June 2016, San Antonio, USA.
• Kontaxakis, J., Sangriotis, M., Angelopoulou, R., Plastira, K., Sgouros, N., Mavroudi, S. (2007). Automatic Analysis of TUNEL assay Microscopy Images, The 7th IEEE International Symposium on Signal Processing and Information Technology, Biomedical Signal Processing Session, pp 1172-1176, December 15-18, Cairo Egypt, 2007
• Dragomir, A., Mavroudi, S., Bezerianos, A. (2004). Tumor classification using ensembles of support vector machines and boosting, The Workshop on Genomic Signal Processing and Statistics (GENSIPS 2004), Baltimore, Maryland, USA
• Mavroudi, S., Dragomir, A., Papadimitriou, S., Bezerianos, A. (2003). Integrating Supervised and Unsupervised Learning in Self Organizing Maps for Gene Expression Data Analysis, ICANN/ICONIP, June 26-29, 2003, Istanbul, Turkey published in Lecture Notes in Computer Science 2714, pp. 262-270
• Mavroudi, S., Papadimitriou, S., Bezerianos, A. (2002). Gene Expression Analysis By A Novel Dynamically Extendable Self-Organized Map Integrating Unsupervised And Supervised Learning, Poster-session, RECOMB 2002, The Sixth Annual International Conference on Research in Computational Molecular Biology, Washington, DC, April 18-21, 2002
• Vladutu, L., Papadimitriou, S., Mavroudi, S., Bezerianos, A. (2001). Ischemia Detection using Supervised Learning for Hierarchical Neural Networks based on Kohonen -Maps, Τhe 23rd IEEE-EMBS Conference, Istanbul, 25-28 October 2001, Proceedings, 2, 1688-1691
• Vladutu, L., Papadimitriou, S., Mavroudi, S., Bezerianos, A. (2001). Generalized RBF Networks trained with Instance Based Training for mining Symbolic Data, The 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-01), April 16-18, 2001, Hong Kong, published in Lecture Notes in Artificial Intelligence, Advances in Knowledge Discovery and Data Mining,Edts. David Cheung, Graham J. Williams, Qing Li, Springer-Verlang, pp. 587-594
• Papadimitriou, S., Bezerianos, A., Vladutu, L., Mavroudi, S. (2000). Detection of ischemic episodes with a combination of supervised and unsupervised learning, the Int. Conference On Computational Intelligence, Slovakia, ISCI 2000, 29 August – 1 September 2000 published in “The State of the Art in Computational Intelligence”,Physica-Verlag, SPRINGER, 2000,P. Sincak, J. Vascak, V. Kvasnicka, R. Mesiar,Eds.

ΕΠΙΛΕΓΜΕΝΕΣ ΑΝΑΚΟΙΝΩΣΕΙΣ ΣΕ ΕΛΛΗΝΙΚΑ ΕΠΙΣΤΗΜΟΝΙΚΑ ΣΥΝΕΔΡΙΑ ΜΕ ΚΡΙΤΕΣ

• Pappa I., Nikou S., Korfiati A., Theofilatos K., Mavroudi S., Bravou V. Deciphering the importance of focal adhesion proteins in lung adenocarcinoma with bioinformatics tools. 70th National Conference of the Hellenic Society of Biochemistry and Molecular Biology, 29th November – 1st December 2019. Athens, Greece.
• Korfiati, D., Kleftogiannis, K. Theofilatos, S. Likothanassis, A. Tsakalidis, S. Mavroudi, “Predicting Human miRNA Target Genes Using a Novel Evolutionary Methodology”, Artificial Intelligence: Theories, Models and Applications, 8th Hellenic Conference on AI, SETN 2012 Lamia, Greece, May 2012. (Best Student Award) Lecture Notes in Computer Science, Springer Verlag, 2012, Volume 7297/2012, 291-298, DOI:10.1007/978-3-642-30448-4_37