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 COURSES

Current Academic Year:

  • Health Informatics
  • Biostatistics
  • Bioinformation
  • Biomedical Databases

Previous Academic Years:

  • Health Informatics
  • Biostatistics
  • Research Methodology
  • Bioinformation
  • Biomedical Databases

 ACADEMIC DEGREES

Doctoral Degree

Interdepartmental Postgraduate Program on Biomedical Engineering, organized by the Faculty of Medicine of the University of Patras, the Faculty of Mechanical Engineering and the Faculty of Electrical and Computer Engineering of the National Technical University of Athens, Phd-Title: “Development of advanced computational intelligence models for complex bioinformatics - and biosignal processing applications”, 2003

Postgraduate Degree:

European Postgraduate Program on Biomedical Engineering, organized by the Faculty of Medicine of the University of Patras, the Faculty of Mechanical Engineering and the Faculty of Electrical and Computer Engineering of the National Technical University of Athens, in collaboration with more than 20 European Universities, Master’s-Title: “Combination of supervised and unsupervised learning for complex biomedical applications”, 2000

Undergraduate Degree:

Department of Electrical and Computer Engineering, School of Engineering of the Aristotle University of Thessaloniki, Diploma Thesis Title: “Design of an Artificial Heart”, 1998

  ACADEMIC CAREER:

08.2020 – Today

Lecturer in Informatics

Nursing Department, School of Health Rehabilitation Sciences, University of Patras, Greece

05.2019 - 08.2020

Lecturer in Informatics

Department of Educational Sciences and Social Work, School of Humanities and Social Sciences, University of Patras, Greece

02.2012 -05.2019

Lecturer in Informatics

Department of Social Work, School of Health and Caring Professions, TEI of Western Greece, Greece

Spring Semester 2010/11 – Spring Semester 2012/13

Adjunct Assistant Professor (P.D 407/80) in Computational Intelligence

Department of Computer Engineering and Informatics, Engineering School, University of Patras, Greece

Spring Semester 2010/11 – Spring Semester 2012/13

Adjunct Assistant Professor (P.D 407/80) in Bioinformatics

Department of Computer Engineering and Informatics, Engineering School, University of Patras, Greece

Spring Semester 2010/11 – Spring Semester 2012/13

Adjunct Assistant Professor (P.D 407/80) in Decision Theory

Department of Computer Engineering and Informatics, Engineering School, University of Patras, Greece

07.2007-08.2010

Lecturer in Informatics

Department of Organic Farming, School of Agricultural Technology, TEI of Ionian Islands, Greece

Spring Semester 2001-02

Invited Researcher

Bioinformatics Center, University of Pennsylvania (UPenn)

 

PREVIOUS WORK EXPERIENCE

 

Project Title

Funding source

Period

Role

Computational Methods for Biomarker Discovery of small non-coding RNAs from RNA-seq data

Private Investors

09.2017-12.2017

PI

E.529: SYSBIOD: Design, Development and Testing of Innovative Computational Intelligence Algorithms for the Analysis of Systems Biology Datasets

Private Investors

15.10. 2015 – 15.03.2016

Researcher

The Genetic Architecture of Type 2 Diabetes Mellitus in the Greek Population

 

Thalis Program 2012-15, », co-financed by the European Union (European Social Fund—ESF) and Greek national funds

01.04.2012- 30.09.2015

Researcher

Intelligent Algorithms for Computational Medicine – Bioinformatics Applications

Research Funding Program “Pythagoras”, 2004-06, ESF and Greek national funds

01.03.2004-31.08.2006

Researcher

Mining of Association Rules of Gene Expression Using Advanced Methods of Data Mining and Systems of Fuzzy Logic

Greek State Scholarships Foundation

01.01.2005-30.06.2006

Researcher

Analysis of Gene Expression data with advanced methods of computational intelligence.

Archimedes Program, 2004-06, co-financed by ESF and Greek national funds

2004-2006

Researcher

Development of advanced models of computational intelligence for predicting the secondary and third order structure of proteins

Program Karatheodoris 2002-03, funded by the Research Committee of the University of Patras

01.05.2002-

30.11.2003

Researcher

Discovery of DNA Binding Sites using Artificial Neural Networks

Bioinformatics Center, University of Pennsylvania (UPenn)

15.03.2002-

15.07.2002

Visiting Researcher

New methods for processing of the electrocardiogram in the detection, treating and re-establishment of heart diseases”, Project “2612: Greece-Poland

Project “2612: Greece-Poland”, 2001-02, funded by the GSRT

01.06.2001-

 31.01.2002

Researcher

Applications of non-linear dynamics and chaos in biomedical and biochemical systems

Project PENED, 2000-01, Funded by the GSRT

01.05.2000-30.04.2001

Researcher

RESEARCH INTERESTS

  • Biomedical Informatics
  • Bioinformatics
  • Computational Intelligence
  • Machine Learning

PARTICIPATION IN SCIENTIFIC JOURNALS COMMITTEES

  • PC Member, 10th 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
  • Organizing Committee of the Computational Intelligence Applications in Bioinformatics (CIAB 2013) Workshop, 14th EANN Conference on Engineering Applications of Neural Networks 2013 (EANN 2013), Halkidiki, Greece, 13-16 September, 2013
  • Organizing Committee of the 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
  • Organizing Committee of the Computational Intelligence Applications in Bioinformatics (CIAB 2011) Workshop, Artificial Intelligence Applications and Innovations 2011 (EANN/AIAI 2011), Corfu Greece, September 2011
  • Local Organizing Committee of the 2nd Summer School on Emerging Technologies in Biomedicine, Patras 20th June- 25th June 2004.

ANNOUNCEMENTS AT GREEK / INTERNATIONAL CONFERENCES: 47

PUBLICATIONS IN  INTERNATIONAL JOURNALS: 38

 

SELECTED SCIENTIFIC PUBLICATIONS

Selected Publications in peer-reviewed International Journal

  • “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 medicine71, 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 genetics6, 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 Sciences294, 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 medicine63 (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 Tools24 (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 bioinformatics12 (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., Bioinformatics30 (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 Systems42 (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 Review42(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 informatics46 (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 Bioinformatics6(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 Tools15 (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., Bioinformatics18(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 Networks12(3), 503-515, 2001, https://doi.org/10.1109/72.925554

Selected Publications in Book/Book Chapters

  • “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

Selected Publications in peer-reviewed International Conferences

  • 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.

Selected Publications in peer-reviewed Hellenic Conferences

  • 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
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