Research Profile for Likothanasis Spiridon


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General
Pattern Recognition Lab -PRlab
Division of Applications and Fountations of Computer Science
Pattern Recognition Lab

Research Activity
Neural Networks, Evolutionary Algorithms, Bioinformatics, e-Learning, AI, Data Mining, Digitization
The research team of the Pattern Recognition Laboratory, between a variety of skills, has a strong experience in Computational Intelligence Algorithms and their applications in many different areas, such as Bioinformatics,Economy, Medicine, Data Mining, Intelligent Agents and e-Learning. The latest years, the main effort was given to the research and development of multi-agent and adaptive e-learning systems. This work was supported form national funding and has resulted to a significant number of graduate Theses, Master Theses, a PhD Thesis and a significant number of publications. For more details see:http://prlab.ceid.upatras.gr/~likothan.
Furthermore, we have developed a pilot Adaptive Multi Agent e-Learning System (based in PHP, JSP and .NET platforms), that uses Computational Intelligence Techniques to predict the specific student reaction, during the exam phase. The historical data from the student’s record will be used, in the proposed research, in order to train the intelligent algorithms to adapt the content, provided by the system, to the specific user’s needs. This idea won the second prize in the Imagine Cup 2007 (Greek branch), among 18 other proposals from the Greek Universities.



Research Infrastructure
Spiridon Likothanassis, Professor
Dr Seferina Mavroudi, Post Doc
Dr Labros Skarlas, Post Doc
IVILEA: Intelligent Virtual e-Learning Environmet (in PHP, JSP and .NET platforms).
PAUSANIAS:Prototype Platform for Digitization and Documentation of Cultural Contex
Research Activities
1. “Spam in Internet Telephony Detection Services – SPIDER”, Eurepean Comission, IST (SME/COOP), Project IST-032720-SPIDER, budget: € 1 696 407, 2006 - 2008 (24 months), Senior Researcher.

2. “System Engineering for Security and Depandability – SERENITY”, European Comission, IST(IP), Project IST-027587-SERENITY, budget: € 7 800 000, 2006 – 2008 (36 months), Senior Researcher.

3. “Development and Validation of a Dose Calculation Algorithm for Clinical Photon Beams, based on the Point-Kernel Method”, Marie Curie Institute, Medical Section, Programme Manager (C.T.I.), Budget: €30 000, 2003-2005.

4. EC, DG12, 4 FP in the Industrial and Materials Technologies Programme: “ AUTOMATED QUALITY CONTROL SYSTEM FOR END-PRODUCTS IN A TEXTILES INDUSTRY”, Project BRST-CT96-5076, Programme Manager (C.T.I.), Budget: 900 880 ECU, 1997-1999.
5. Design, Development and Application of Intelligent Algorithms in real World Problems (Biosignals, Communications, Medical Systems). Program PYTHAGORAS, G.S.R.T., Ministry of Development, Project Manager, Budget: ~ 70 000 Euro, 2004 – 2006.

6. Intelligent Agents in Virtual Learning Environments, Program HERAKLEITOS, G.S.R.T., Ministry of Development, Project Manager, Budget: 33 000 Ευρώ, 2003 –2005.
7. Gene Expression Data Analysis Using Advanced Computational Intelligence Techniques. Program ARCHIMIDES, G.S.R.T., Ministry of Development, Project Manager, Budget: 55 000 Ευρώ, 2003 – 2005.

8. Use of Computational Intelligence Methods for the Modeling of Biosignals, University of Patras, Program K. Karathodoris, Project Manager, Budget: 18 000 Euro, 2000 – 2003.

9. Development of a System for the Optimal Management of Resources for the Maintenance of the Roadways of the National Roads Network, G.S.R.T., Ministry of Development, Project Manager, Budget: 30 000 Euro, 1999 – 2000.


1. G. Beligiannis, S. Likothanassis and L. Skarlas, “A Generic Applied Evolutionary Hybrid Technique for Adaptive System Modeling and Information Mining”, IEEE Signal Processing Magazine, Special Issue for Mining Information, Vol. 21, No.3, pp. 28-38, May 2004.
2. D. Fragoudis, D. Meretakis and S. Likothanassis, “Best Terms: An Efficient Feature Selection Algorithm for Text Categorization”, Knowledge and Information Systems Journal (KAIS), Vol. 8, pp. 16-33, 2004.
3. S. Likothanassis, K.Perdikuri, L.V. Skarlas and A. Tsakalidis, "Evolutionary Biomedical Signal Processing Techniques", Measurement Science Review (On-line Edition), Vol. 4, pp.15-19, 2004.
4. G. N. Beligiannis, L. V. Skarlas, S. D. Likothanassis and K. Perdikouri, “Nonlinear Model Structure Identification of Complex Biomedical Data Using a Genetic Programming Based Technique”, IEEE Transactions on Instrumentation and Measurement, Vol. 54, No.6, pp.2184-2190, 2005.
5. A. Adamopoulos, S. Likothanassis, N. Pavlides and M. Vrahatis “Short-yerm Prediction in Complex Binary Data”, Lecture Series on Computer and Computational Sciences, Brill Academic Publishers, Vol. 1, pp. 1-4, 2005.

6. S. Papadimitrioy, S. Mavroudi and S. Likothanassis, “Mutual Information Clustering For Efficient Mining Of Fuzzy Association To Gene Expression Data Analysis” International Journal On Artificial Intelligence Tools (IJAIT), Vol. 15, No. 2, pp. 227-250, 2006.
7. K. Giotopoulos, C. Alexakos, G. Beligiannis and S. Likothanassis, “Computational Intelligence Techniques and Agents’ Technology in E-learning Environments”, International Journal of Information Technology, Vo.2, No. 2, pp. 147-156, 2006.
8. S. Skarlas, P. Ioannidis and S. Likothanassis, “Coding Potentional Prediction in Wolbachia Using Artificial Neural Networks”, In Silico Biology: An International Journal of Computational Molecular Biology, Vol. 7 (0010), 2007.
9. K. Votis, C. Alexakos, B. Vassiliadis and S. Likothanassis, “An Ontologically-Principled Service-Oriented Architecture for Managing Distributed E-Government Nodes”, Journal of Network and Computer Applications, Vol. 31, Issue 2, pp. 131-148, 2008.
10. Grigorios N. Beligiannis, Charalampos N. Moschopoulos, Georgios P. Kaperonis and Spiridon D. Likothanassis, “Applying evolutionary computation to the school timetabling problem: The Greek case”, Computers & Operations Research Journal, In Press, Elsevier Science, Vol. 35, pp. 1265-1280, 2008.
11. Konstantinos C. Giotopoulos, Christos E. Alexakos, Grigorios N. Beligiannis and Spiridon D. Likothanassis, “Integrating Computational Intelligence Techniques and Assessment Agents in E-Learning Environments”, International Journal of Computational Intelligence, Volume 3 Number 4, pp 328-337, 2007.
12. Christos E. Alexakos, Konstantinos C. Giotopoulos, Eleni J. Thermogianni, Grigorios N. Beligiannis and Spiridon D. Likothanassis, “Integrating E-learning Environments with Computational Intelligence Assessment Agents”, International Journal of Humanities and Social Sciences, Vol. 1, Number 4, pp. 180-185, 2007.
13. Mavroudi, Seferina; Papadimitriou, Stergios; Kossida, Sophia; Likothanassis, Spyridon D.; Vlahou, Antonia: “Computational Methods and Algorithms for Mass-Spectrometry Based Differential Proteomics”, Current Proteomics, Volume 4, Number 4, December 2007, pp. 223-234.
14. Christos E. Alexakos, Kostas I. Paraskevopoulos, Kostas V. Votis and Spiridon D. Likothanassis, “Ontology Supported Indexing in P2P Networks of Digital Libraries”, International Journa of Web Engineering and Technology, Vol. 4, No. 1, pp. 44-69, 2008.
15. Grigorios N. Beligiannis, Charalampos N. Moschopoulos and Spiridon D. Likothanassis, “A Genetic Algorithm Approach to School Timetabling”, Journal of the Operational Research Society, 60 (1), pp. 23-42, 2009.
16. Alexakos, C.E., Paraskevopoulos, K.I., Votis, K.V. and Likothanassis, S.D., ‘Ontology-Supported Indexing in P2P Networks of Digital Libraries’, Int. J. Web Engineering and Technology, Vol. 4, No. 1, pp.44–69, 2008.
17. K. Votis, C. Alexakos, B. Vassiliadis and S. Likothanassis, “An ontologically principled service-oriented architecture for managing distributed e-government nodes“, Journal of Network and Computer Applications, Volume 31, Issue 2, Trends in peer to peer and service oriented computing, April 2008, pp. 131-148. (Impact Factor 2006: 1,071).
18. Konstantinos Theofilatos, Grigorios Beligiannis and Spiridon Likothanassis, “Combining Evolutionary and Stochastic Gradient Techniques for System Identification”, Journal of Computational and Applied Mathematics, to appear, 2009.
19. C. Moschopoulos, G. Pavlopoulos, P. Schneider, S. Likothanassis and S. Kossida, “GIBA: A Clustering Tool for Detecting Protein Complexes”, BMC Bioinformatics (Spesial Issue on EMnet Conf.), to appear, 2009.
20. S. Papadimitriou and S. Likothanassis, “Kernel-Based Self-Organized Maps trained with Supervised Bias for Gene Expression Data Analysis”, Journal of Bioinformatics and Computational Biology, Imperial College Press, Vol. 2, No 1, January 2004.
1. Academy of Athens, Institute for Medical and Biological Research.
2. National University of Athens, Medical Department, Embriology and Histology Lab
3. Democretium University of Thrace, Medical Department, Medical Physics Lab
Additional Information