CURRICULUM VITAE
Vassilas Nikolaos
Department of
Informatics and Computer Engineering
University of West
Attica
Ag.
Tel. ++30-210-5385827
Fax ++30-210-5910975
E-mail: nvas@uniwa.gr
1. DEGREES
Ph.D.: Dpt.
of Electrical Engineering,
M.S.E.E.: Dpt. of Electrical Engineering,
Diploma in Electrical Engineering:
2. PROFESSIONAL EXPERIENCE
8/18 –: Professor,
Dpt. of Informatics & Computer Engineering, Univ. of West Attica
7/07 – 8/18: Professor,
Dpt. of Informatics, T.E.I. of
4/03 – 7/07: Associate
professor, Dpt. of Informatics, T.E.I. of
9/99 – 4/03: Assistant
professor, Dpt. of Informatics, T.E.I. of
9/98 – 9/99: Adjunct
instructor, Dpt. of Informatics, T.E.I. of
11/96 – 2/99: Adjunct
researcher, Neural Networks Laboratory (NNL),
9/93 – 3/94: Post-doctoral
researcher, Laboratoire MictoInformatique, Ecole Polytechnique Federale de
Lausanne (EPFL).
5/92 – 11/96: Post-doctoral
researcher, NNL, IIT, N.C.S.R. “Demokritos”.
9/84 – 9/90: Teaching
Assistant, Dpt.
of Electrical Engineering,
3. ADMINISTRATIVE POSITIONS
2019-: Director of the
Intelligent Knowledge, Image & Information Systems (ISLab) research
laboratory of the Dpt. of Informatics & Computer Engineering, University of
West Attica.
2016-20: Director
of the Master program in Informatics, Image Synthesis and Computer Graphics
(ISIC-G) in collaboration with the Dpt. of Informatics, University of Limoges, France.
2010-11: Head of
Computer Programming Sector, Dpt. of Informatics, T.E.I. of
2008-10: Head
of the Department of Informatics, T.E.I. of
2002-08: Head of
Computer Programming Sector, Dpt. of Informatics, T.E.I. of
2001-02: Associate
Head
of Computer Programming Sector, Dpt. of Informatics, T.E.I. of
4. TEACHING EXPERIENCE
GRADUATE LEVEL
2020-21: Master program in "Artificial Intelligence and Visual
Computing" offered at the Dpt. of Informatics & Computer Engineering, U. of West Attica in
collaboration with the Dpt. of Informatics, U. of Limoges,
1. Artificial Intelligence and Machine Learning
2. Image Processing and Analysis
3. Deep Learning
2018-20: Master program in "Informatics" offered at the Dpt. of Informatics & Computer Engineering, University
of West Attica. Courses taught:
4. Pattern
Recognition and Special Topics of Computer Vision.
2007-20: Master program in "Informatics
and Sciences of Information and Communication" offered at TEI of Athens in
collaboration with
5. Introduction to Image Processing
6. Artificial Intelligence
1992-98: Graduate
educational program of the
7. Advanced Topics in Linear Algebra
8. Discrete Signals and Systems
9. Computer and Computational Vision
UNDERGRADUATE LEVEL
1998-20: Undergraduate
programs of the Dpt of Informatics &
Computer Engineering, U. of West Attica and the former Dpt of Informatics, TEI
of Athens. Courses
taught:
1. Pattern Recognition and
Machine Learning
2. Neural Networks
3. Image Processing
4. Signals and Systems
5. Compilers
6. Artificial Intelligence
7. Introduction to Programming
8. Microprocessors (lab only)
9. Computer
Architecture (lab only)
1984-90: Teaching
assistant, Electrical Engineering Department,
10. Linear Circuits I (EE 3009)
11. Linear Circuits ÉÉ (EE 3010)
12. System Design (EE 3012)
13. Semiconductor Devices (EE 3060)
14. Analog Electronics (EE 3061)
15. Digital Electronics (EE 3062)
16. Instrumentation and Control Electronics (EE 5055)
17. Introduction to Logic Design (EE 3351, ÅÅ 3351 Lab)
18. Introduction to Microprocessors (EE 3352, EE 3352 Lab).
5. SELECTED RESEARCH
PROJECTS
Research Coordinator
a) ARCHIMEDES É, funded by the European Union and the Greek Government. Title: "Methodology for Designing Systems of Personalized
Access in Telematic Services of Educational Intranets Using Intelligent Agents". Budget: €50.000. Duration: 2004-2006 (36 months).
b) ARCHIMEDES ÉÉÉ, funded
by the European Union and the Greek Government. Title: "Intelligent Pattern Recognition
Techniques for the Development of Multimodal Representations of Urban Areas
(3D-CITY)". Budget: €100.000. Duration: 2012-2014 (36 months).
Participation in more than 20 funded research
projects. Some of the European and nationally funded projects are:
a) Human Capital & Mobility -- ERBCHBGCT920027, 1992-95, "Neural
Nets Multidisciplinary Network of Expertise",
b) BRITE-EURAM -- BE-1117 "GeoNickel",
1996-98, "Integrated Technologies for Mineral Exploration: Pilot Project for
c) IST-ELEGANT, 2002-04, “Electronic Government Advisor Agent”,
d) D-SCRIBE, 2003-06, “Ancient Greek Manuscript Digitization and
Management System”,
e) ARCHIMEDES, 2004-06, “Parallel Content-Based
Multilingual Information Retrieval”,
RESEARCH
INTERESTS
Intelligent
pattern recognition, artificial neural networks, computer vision.
6. PUBLICATIONS
6.1. THESES AND DIPLOMA PROJECTS:
6.1.1. Nikolaos
Vassilas, "Performance of Neural Associative Memories for Character
Recognition and Associative Database Retrieval," Doctoral thesis,
6.1.2.
Nikolaos Vassilas, "Learning for Recognition Tasks," Master's
project,
6.1.3. Nikolaos
Vassilas, "Bandpass Repeater of Binary Digital Signal – Realization
and Simulation”, Dipl. thesis,
6.2.
JOURNALS, BOOK CHAPTERS AND PAPER COLLECTIONS:
6.2.1.
V. Cherkassky and
6.2.2.
V. Cherkassky,
6.2.3.
V. Cherkassky, K. Fassett and N. Vassilas, "Linear Algebra Approach to
Neural Associative Memories and Noise Performance of Neural Classifiers," IEEE Transactions on Computers, Vol. 40,
No. 12, pp. 1429-1435, 1991.
6.2.4.
V. Cherkassky, N. Vassilas, G. Brodt and H. Wechsler, "Conventional and
Associative Memory Approaches to Automatic Spelling Correction," International Journal of Engineering
Applications of Artificial Intelligence, Vol. 5, No. 3, pp. 223-237, 1992.
6.2.5.
N. Vassilas, P. Thiran and P. Ienne, "How to Modify Kohonen's Self-Organising
Feature Maps for an Efficient Digital Parallel Implementation," Fuzzy Systems and Artificial Intelligence,
Rïmanian Academy Publishing House, Vol. 4, No. 1, pp. 73-80, 1995.
6.2.6.
P. Ienne, P. Thiran and N. Vassilas, "Modified Self-Organizing Feature Map
Algorithms for Efficient Digital Hardware Implementation," IEEE Transactions on Neural Networks,
Vol. 8, No. 2, pp. 315-330, March 1997.
6.2.7.
N. Vassilas, "Theoretical Analysis of the Batch Variant of the
Self-Organizing Feature Map Algorithm for 1-D Networks Mapping a
Continuous 1-D Input Space," International Journal of Computer
Mathematics, Vol. 67, pp. 77-103, 1998.
6.2.8. S. Perantonis,
6.2.9.
N. Vassilas and E. Charou, "A New Methodology for Efficient Neural Network
Training and Classification in Demanding Remote Sensing Applications", Neural Processing
Letters, Vol. 9, No. 1, pp. 35-43, 1998.
6.2.10.
Perantonis, N. Vassilas, K. Seretis and Th. Tsenoglou,
“A Novel Weighted Hough Transform for Robust Detection of Linear Formations”, Recent Advances in Information Science and
Technology (N. E. Mastorakis, ed.), World Scientific Publishing, pp.
233-237, 1998.
6.2.11. Í. BáóéëÜò, Ä. Âáúüðïõëïò, Å. ×Üñïõ êáé Ó. ÂáñïõöÜêçò, "ÁðïôåëåóìáôéêÞ
Ïìáäïðïßçóç êáé Ôáîéíüìçóç Äïñõöïñéêþí Åéêüíùí óå Ôýðïõò ÅäáöïêÜëõøçò ìå ×ñÞóç
Áõôï-Ïñãáíïýìåíùí ×áñôþí", Ôå÷íéêÜ
×ñïíéêÜ, ÅðéóôçìïíéêÞ ¸êäïóç ÔÅÅ, III, Íï. 1-2, pp. 31-42, 1999.
6.2.12. J. Aarnisalo, K. Makela, B.
Bourgeois, C. Spyropoulos, S. Varoufakis, E. Morten, K. Maglaras, H. Soininen,
A. Angelopoulos, D. Eliopoulos, P. Lamberg, H. Papunen, A. Hattula, R. Pietila,
S. Elo, C. Ripis, E. Dimou, A. Apostolikas, M. Melakis, M. Economou-Eliopoulos,
N. Vassilas, S. Perantonis, N. Ampazis, E. Charou, N. Gustavsson, M. Tiainen,
M. Stefouli, D. Delfini, P. Venturini, G. Vouros, Y. Stavrakas and D.
Katsoulas, “Integrated Technologies for Minerals Exploration; Pilot Project for
Nickel Ore Deposits”, Transactions of the Institution of Mining and
Metallurgy, Section B: Applied Earth Science, Vol. 108, pp. 151-163,
1999.
6.2.13.
N. Vassilas, “Efficient Neural Network-Based Methodology for the Design of
Multiple Classifiers”, in Recent Advances
in Artificial Neural Networks – Design and Applications (L.C. Jain and A-M.
Fanelli, eds.), CRC Press,
6.2.14.
N. Vassilas, E. Kalapanidas, N. Avouris and S. Perantonis, “Intelligent
Techniques for Spatio-Temporal Data Analysis in Environmental Applications”,
in Lecture Notes in Artificial
Intelligence: Machine Learning and Its Applications (G. Paliouras,
V. Karkaletsis and C. Spyropoulos, eds.), Springer-Verlag, Berlin-Heidelberg,
pp. 318-324, 2001.
6.2.15. E.Charou, N. Vassilas, S.J. Perantonis and S.
Varoufakis “Integration Techniques in Environmental Data Processing” in Integrated
Technologies for Environmental Monitoring and Information Production, NATO Science
Series (Harmancioglu et al., eds.), Kluwer Academic Publishers, The
Netherlands, pp. 301-310, 2003.
6.2.16.
N. Vassilas, “Self-Organization
of the Batch Kohonen Network under Quantization Effects”, International Journal of Computer Mathematics, Vol. 88, No. 17, pp.
3586-3612, 2011.
6.2.17.
Th. Tsenoglou, N. Vassilas and D. Ghazanfarpour, “A New Weighted Region-based
Hough Transform Algorithm for Robust Line Detection in Poor Quality Images of
2D Lattices of Rectangular Objects”, Electronic
Letters on Computer Vision and Image Analysis, Vol. 12, No. 2, pp. 66-77,
2013.
6.2.18. N.Vassilas, Th. Tsenoglou, and D.
Ghazanfarpour, “Mean Shift-based Preprocessing Methodology for Improved 3D
Buildings Reconstruction”, WASET Int’l Journal of Civil, Environmental,
Structural, Construction and Architectural Engineering, Vol. 9, No. 5, pp. 575-580, 2015.
6.2.19. E. Bratsolis, E. Charou, T. Tsenoglou, N.
Vassilas, “Automated Building Block Extraction and Building Density
Classification using Aerial Imagery and LiDAR data”, Journal of Earth Science and Engineering, Vol. 6, No. 1, pp.1-9,
2016.
6.3.
CONFERENCE
PROCEEDINGS:
6.3.1. V. Cherkassky and N. Vassilas,
"Performance of Back Propagation Networks for Associative Database
Retrieval," in Proc. IEEE
International Joint Conference on Neural Networks,
6.3.2. V. Cherkassky and N. Vassilas,
"Associative Database Retrieval Using Back Propagation Networks," in Computational Intelligence II, F. Gardin
and G. Mauri (Eds.), Elsevier Science (
6.3.3. V. Cherkassky, N. Vassilas and G. Brodt,
"Conventional and Associative Memory Based Spelling Checkers," in Proc. of the 2nd Int’l IEEE Conference on Tools for Artificial Intelligence,
Washington D.C., pp. 138-144, Nov.
1990.
6.3.4. V. Cherkassky, N. Vassilas and H.
Wechsler, "Hierarchical Neural Model for Semantic Categorization," in Proc.
International Symposium MNEMO (Human Memory Modelling and Simulation),
6.3.5. N. Vassilas, A. Rabavilas, Ch.
Papageorgiou, E. Ventouras, N. Uzounoglou and C. Stefanis, "Artificial
Neural Networks for Comparisons of ERP's in Normal Subjects and Patients with
Obsessive Compulsive Disorder," in
Book of Abstracts, VII Congress of the Int'l Society of Greek
Neuroscientists, Chania, Sep. 1992.
6.3.6. Ch. Papageorgiou, N. Vassilas, A.
Rabavilas, E. Ventouras, N. Uzounoglou and C. Stefanis, "Discrimination of
ERP's of Obsessive Compulsive Disorder and Generalized Anxiety Disorder Using
Artificial Neural Networks," in
Book of Abstracts, VII Congress of the Int'l Society of Greek
Neuroscientists, Chania, Sep. 1992.
6.3.7. S.J. Perantonis, N. Vassilas, G.T.
Amanatidis, S. Varoufakis and J.G. Bartzis, "Neural Network Techniques for
SO2 Episode Prediction," in Proc. of the 20th Int'l Technical Meeting on
Air Pollution Modelling and its Applications, Valencia, Spain, pp. 305-313,
29 Nov. - 3 Dec. 1993.
6.3.8. Í. ÂáóéëÜò, ×. Ðáðáãåùñãßïõ, Á.Ä. Ñáìðáâßëáò êáé Ê. ÓôåöáíÞò,
"ÄéÜêñéóç ôùí Ðñïêëçôþí Äõíáìéêþí ìå ôçí ÅöáñìïãÞ ôçò Ôå÷íïëïãßáò ôùí
Ôå÷íçôþí Íåõñùíéêþí Äéêôýùí óå Øõ÷áíáãêáóôéêïýò êáé Áññþóôïõò ìå Ðáíéêü", óå Âéâëßï ÐåñéëÞøåùí,
13ï ÐáíåëëÞíéï ÓõíÝäñéï
Øõ÷éáôñéêÞò, ×áëêéäéêÞ, ÌÜúïò 1994.
6.3.9. A. Benaki, B. Gatos, I. Karamani, D.
Karras, S. Perantonis, N. Vassilas and N. Gaitanis, "A Robot Hand-Eye
Coordination System for 3-D Object Recognition Using Novel Neural Networks
Trained with Multiview Moments", in Proc.
of the European Robotics and Intelligence Systems Conference, Malaga,
Spain, pp. 1692-1701, Aug 1994.
6.3.10. N. Vassilas, Ch. Papageorgiou, A.D.
Rabavilas, S. Perantonis, S. Varoufakis and C.N. Stefanis, "Artificial
Neural Network Overlearning in the Classification of Panic and OCD Patients
Using Evoked Potentials", in Book of Abstracts, 24th Congress of the European Association
for Behavioural and Cognitive Therapies, Corfu, Sep.
1994.
6.3.11. C. Papageorgiou, A. Rabavilas, N.
Vassilas,
6.3.12.
E. Charou, N. Ampazis, N. Vassilas, S. Perantonis, C. Feizidis and S.
Varoufakis, "Land-Use Classification of Satellite Images Using Artificial
Neural Network Techniques," in Proc.
Integration, Automation and Intelligence in Photogrammetry, Remote Sensing and
G.I.S., 3rd Int'l Colloquium of LIESMARS, Wuhan, P.R. China, pp. 368-377,
Oct. 1994.
6.3.13. N.
Vassilas, S. Perantonis, E. Charou, S. Varoufakis and M. Moutsoulas,
"Neural Networks for Fast and Efficient Classification of Multispectral
Remote Sensing Data," ÐñáêôéêÜ 5ïõ
Ðáíåëëçíßïõ Óõíåäñßïõ ÐëçñïöïñéêÞò, ÅÐÕ, ÁèÞíá, pp. 893-902, Dec. 1995.
6.3.14.
A. Benaki, B. Gatos, I. Karamani, D. Karras, S. Perantonis, N. Vassilas, H.
Charou and S. Varoufakis, "A Sensor Driven Robot Arm for Playing
Chess," ÐñáêôéêÜ 5ïõ Ðáíåëëçíßïõ
Óõíåäñßïõ ÐëçñïöïñéêÞò, ÅÐÕ, ÁèÞíá, pp. 471-480, Dec. 1995.
6.3.15. Ì. Ìïõôóïýëáò, Å. ×Üñïõ, Í. ÂáóéëÜò, Ó. Ðåñáíôþíçò êáé Ó.
ÂáñïõöÜêçò, "Åðåîåñãáóßá Ðïëõöáóìáôéêþí
Äïñõöïñéêþí ÄåäïìÝíùí ìå ÷ñÞóç Íåõñùíéêþí
Äéêôýùí", óå Âéâëßï ÐåñéëÞøåùí, 4ï
ÐáíåëëÞíéï Ãåùãñáöéêü ÓõíÝäñéï, ÁèÞíá, Ïêô. 1995.
6.3.16. Í. ÂáóéëÜò, "Ç ×ñÞóç ôùí Ôå÷íçôþí Íåõñùíéêþí Äéêôýùí óôçí
Øõ÷ïöõóéïëïãéêÞ Äéåñåýíçóç ôçò Øõ÷ïðáèïëïãßáò", óå
Âéâëßï ÐåñéëÞøåùí, 14ï ÐáíåëëÞíéï
ÓõíÝäñéï Øõ÷éáôñéêÞò, ÓôñïããõëÞ ôñÜðåæá: Øõ÷ïöõóéïëïãéêÝò ÌÝèïäïé êáé
Øõ÷ïðáèïëïãßá, ÇñÜêëåéï ÊñÞôçò, 30 Ìáñ. - 3 Áðñ. 1996.
6.3.17. N. Vassilas, P. Thiran and P. Ienne,
"On Modifications of Kohonen's Feature Map Algorithm for an Efficient
Parallel Implementation," in Proc.
IEEE International Conference on Neural Networks,
6.3.18. N. Vassilas, C. Papageorgiou and A.
Rabavilas, "ERP Classification Using Artificial Neural Networks and
Multimodular Architectures", in
Book of Abstracts, X World Congress of Psychiatry, Symposium:
Artificial Neural Networks in Psychophysiology
6.3.19. V.
Cherkassky, N. Vassilas and H. Wechsler, "Adaptive Prototype
Formation," in Proc. World Congress
on Neural Networks (WCNN), San Diego, California, pp. 937-941, Sep. 1996.
6.3.20. M. Stefouli, N. Vassilas, S. Perantonis, N.
Ampazis, E. Charou and S. Varoufakis, "Lithological Regions Interpretation
and Classification of LANDSAT Data Using Neural Networks," First Congress
of the Balkan Geophysical Society, Athens, Greece, pp. 474-475, Sep. 1996.
6.3.21. M. Stefouli, A. Angellopoulos, S.
Perantonis, N. Vassilas, N. Ampazis, E. Charou and S. Varoufakis,
"Integrated Analysis and Use of Remotely Sensed Data for Seismic Risk
Assessment of the South-West Peloponessus, Greece", First Congress of the
Balkan Geophysical Society, Athens, Greece, pp. 468-469, Sep. 1996.
6.3.22. Ä. Âáúüðïõëïò, Í. ÂáóéëÜò, Å. ×Üñïõ, Ó. ÂáñïõöÜêçò êáé È.
ÃêïõñíÝëëïò, “Ôáîéíüìçóç Äïñõöïñéêþí Åéêüíùí óå Ôýðïõò KÜëõøçò Ãçò ìå ×ñÞóç Åõöõþí ÓõóôçìÜôùí”, óå Âéâëßï ÐåñéëÞøåùí, Óõìðüóéï: Ôçëåáíß÷íåõóç êáé ÅöáñìïãÝò,
ÁèÞíá, ÍïÝìâñéïò 1996.
6.3.23. N. Vassilas, C. Papageorgiou and A. Rabavilas, "A Multiple Classifier System Using Neural, Fuzzy and Statistical Modules for the Discrimination of Psychiatric Disorders", 1ï
Óõìðüóéï ÅëëçíéêÞò Åôáéñåßáò Ôå÷íçôÞò Íïçìïóýíçò: Åðåîåñãáóßá Ëüãïõ, ÁíáðáñÜóôáóç êáé Åðåîåñãáóßá Ãíþóçò, ¸ìðåéñá
ÓõóôÞìáôá - ÅöáñìïãÝò, Ðáí/ìéï Ðåéñáéþò, Äåê. 1996.
6.3.24. N. Vassilas, E. Charou and S. Varoufakis,
“Fast and Efficient Land-Cover Classification of Multispectral Remote Sensing
Data Using Artificial Neural Network Techniques”, in Proc. 13th Int’l Conference on Digital Signal Processing (DSP97),
Santorini, pp. 995-998, June 1997.
6.3.25. N. Vassilas, S. Perantonis, E. Charou
and S. Varoufakis, "Intelligent Techniques for Efficient Generation of
Ground-Cover Maps", in Proc. 20th
Canadian Symposium on Remote Sensing, Calgary, Canada, pp. 255-258, May
1998.
6.3.26. B. Gatos,
N. Gouraros, S. Mantzaris, S. Perantonis, A. Tsigris, P. Tzavelis and N.
Vassilas, “A new method for segmenting newspaper articles”, in Lecture Notes in Computer Science 1513,
Second European Conference on Research and Advanced Technology for Digital
Libraries, Heraclion, Crete,
(Ch. Nikolaou and C. Stephanidis Eds.), Springer, pp. 695-696, 1998.
6.3.27. N. Vassilas, S. J. Perantonis, E. Charou,
K. Seretis and Th. Tsenoglou, “Automatic Lineament Detection from Geophysical
Grid Data Using Efficient Clustering and Weighted Hough Transform Algorithms”,
in Proc. Advanced Course in Artificial Intelligence (ACAI’99), Workshïp
07: Intelligent Techniques for Spatiotemporal Data Analysis in Environmental
Applications, Chania, Greece, pp. 16-25, July 1999.
6.3.28. D. Vaiopoulos, A. Vassilopoulos, N. Evelpidou, N.
Vassilas, S. Perantonis, E Charou, S. Varoufakis “Land Cover Thematic Map
production by photointerpratation and quantitave analysis of Sattellite
imagery”, 5o ÐáíåëëÞíéï Ãåùãñáöéêü ÓõíÝäñéï,
ÁèÞíá, pp. 326-330, Íïå. 1999.
6.3.29. Í. ÂáóéëÜò, Ì. Óôåöïýëç, Ä. Âáúüðïõëïò, Å. ×Üñïõ êáé Ó. ÂáñïõöÜêçò,
"Åðåîåñãáóßá êáé ôáîéíüìçóç Ëéèïëïãéêþí ÅíïôÞôùí áðü ÄïñõöïñéêÝò Åéêüíåò
ìå ×ñÞóç Íåõñùíéêþí Äéêôýùí", ÐñáêôéêÜ
1ïõ Äéåèíïýò Óõíåäñßïõ: ÄéáóôçìéêÝò
ÅöáñìïãÝò êáé ÐåñéâÜëëïí, ÁèÞíá, 31 Ïêô. - 2 Íïå. 1997, pp. 95-99, 1999.
6.3.30. Í. ÂáóéëÜò, ×. Ðáðáãåùñãßïõ, Ê. Áëåîßïõ, Í.
Ðáðáæáöåéñüðïõëïò êáé Á. Ñáìðáâßëáò, "Êáôçãïñïðïßçóç.ôùí Ðñïêëçôþí
Åãêåöáëéêþí Äõíáìéêþí ìå ôçí ÅöáñìïãÞ ôçò Ôå÷íïëïãßáò ôùí Ôå÷íçôþí Íåõñùíéêþí Äéêôýùí
óôéò Áã÷þäåéò Äéáôáñá÷Ýò", óå Âéâëßï
ÐåñéëÞøåùí, 1ï ÐáíåëëÞíéï ÓõíÝäñéï ôçò ÅëëçíéêÞò Åôáéñåßáò Øõ÷ïöõóéïëïãßáò, ÓôñïããõëÞ
ôñÜðåæá: ÊëéíéêÞ Øõ÷ïöõóéïëïãßá:
ÈåùñçôéêÝò Ðñïóåããßóåéò êáé ÅöáñìïãÝò óôçí Øõ÷éáôñéêÞ, Èåóóáëïíßêç,
7-10 Éïõíßïõ, p. 53, 2001.
6.3.31. N.
Vassilas, S. Perantonis, V. Virvilis, Ch. Papageorgiou,
A. Rabavilas and G.N. Christodoulou, “Multimodular ERP Classification Using
Neural Network Based Feature Selection”, in Proc. of the IASTED Int. Conference:
Artificial Intelligence and Applications
(AIA’01), Marbella, Spain, pp. 26-29, September 2001.
6.3.32. N. Vassilas, S. Perantonis, E. Charou, Th. Tsenoglou, M. Stefouli and S.
Varoufakis, “Delineation of Lineaments from Satellite Data Based on Efficient Neural
Network and Pattern Recognition Techniques”, in Proc. Second Hellenic
Conference on AI,
6.3.33. N. Vassilas, G. Miaoulis, D. Chronopoulos, E.
Constandinidis, I. Ravani, D. Makris and D. Plemenos, “MultiCAD-GA: A System
for the Design of 3D Forms Based on Genetic Algorithms and Human Evaluation”,
in Lecture Notes in Artificial Intelligence (LNAI 2308): Methods and
Applications of Artificial Intelligence, Second Hellenic Conference on AI, Thessaloniki,
Greece (I. Vlahavas and C. Spyropoulos Eds.), Springer, pp.203-214, 2002.
6.3.34. D. Plemenos, G. Miaoulis and N.
Vassilas, “Machine Learning for a General
Purpose Declarative Scene Modeler”. GraphiCon’2002,
6.3.35. Í. ÂáóéëÜò, Ð. ÌðÝëóçò, Ó. Ðåñáíôþíçò, ×. ÓêïõñëÜò êáé Ê. ÓöÞêáò,
“ÅîáãùãÞ ×áñáêôçñéóôéêþí, Äåéêôïäüôçóç êáé ÁíÜêôçóç Åéêüíáò ÂáóéóìÝíç óôï
Ðåñéå÷üìåíï”, ÓõíÝäñéï ÁÑ×ÉÌÇÄÇÓ É,
Ô.Å.É. ÁèÞíáò, 24-26 Íïåìâñßïõ 2005.
6.3.36. Î. Ðáðáäüðïõëïò, È. Óðýñïõ, É. ÄáñæÝíôáò, Ð. Êáñáâßôç,
Ð. ÊïõôóáìðÜóçò, É. ÖïõíôÜ êáé Í. ÂáóéëÜò, “ÏëéóôéêÞ ÐñïóÝããéóç ôçò
ÐñïóùðïðïéçìÝíçò Ðñüóâáóçò”, ÓõíÝäñéï
ÁÑ×ÉÌÇÄÇÓ É, Ô.Å.É. ÁèÞíáò, pp. 153-160, 2005.
6.3.37. N. Vassilas and A. Sharma, “Segmentation of Continuous Text Using An Associative
Dictionary, Language Statistics and Backtracking Techniques”, in Proc. of the 14th National
Conference of Academic Libraries,
6.3.38.
N. Vassilas and C. Skourlas, “Content-Based Coin
Retrieval Using Invariant Features and Self-Organizing Maps”, in Lecture Notes
in Computer Science
(LNCS 4132): 16th International
Conference on Artificial Neural Networks (ICANN06) (Kollias et al.,
Eds.), Springer, Vol. 2, pp.113-122, 2006.
6.3.39.
C. Skourlas and N. Vassilas, "Content-Based Retrieval Using Invariant
Features, Self-Organizing Maps, Concepts and Fuzzy Interval Numbers", The
Contribution of Information Technology to Scinece, Economy, Society and
Education (eRA-2),
6.3.40.
N. Vassilas, “Batch
Self-Organizing Map Algorithm: A Theoretical Study of Self-Organization of a
1-D Network Under Quantization Effects”, in Proceedings IEEE
International Joint Conference on Neural Networks (IJCNN'08), WCCI 2008, Hong-Kong, pp. 1925-1930, June
1-6, 2008.
6.3.41.
N. Vassilas, Th. Tsenoglou and D. Ghazanfarpour, “Robust Region-based Line
Detection from Poor Quality Images of Aligned Rectangular Objects”, in Proceedings 9th
IASTED International Conference on Signal Processing, Pattern Recognition and
Applications (SPPRA 2012), Crete, Greece, pp. 35-42, June 18-20,
2012.
6.3.42. Th. Tsenoglou, N.
Vassilas and D. Ghazanfarpour, “Robust Line Detection in Images of Building
Facades using Region-based Weighted Hough Transform”, in Proceedings 16th Panhellenic Conference on Informatics (PCI’2012), University of Piraeus, Greece, pp.
333-338, October 5-7, 2012.
6.3.43.
E. Bratsolis, S. Gyftakis, E. Charou and
N.Vassilas, “Comparative Analysis of Classification Techniques for Building
Block Extraction using Aerial Imagery and LiDAR Data”, in Proc. 13th IEEE International Symposium
on Signal Processing and Information Technology (ISSPIT 2013), Athens,
Greece, Dec. 12-15, 2013.
6.3.44.
S. Gyftakis, T. Tsenoglou, E. Bratsolis, E. Charou and N. Vassilas, “Fusion of
Aerial Images with Mean Shift-based Upsampled Elevation Data for Improved
Building Block Classification”, in Proc.
SPIE 9244, Image and Signal Processing for Remote Sensing XX,
Amsterdam, The Netherlands, October 2014.
6.3.45. E. Charou, S. Gyftakis, E. Bratsolis,
Th. Tsenoglou, Th.D. Papadopoulou and N.Vassilas, “Urban Density Indices Using
Mean Shift-based Upsampled Elevation Data”, in Proc. 36th International
Symposium on Remote Sensing of Environment, ISRSE36-428-1, Berlin, Germany,
11-15 May 2015.
6.3.46. E. Spyrou, A. Kesidis, P.
Kolliopoulos, T. Tsenoglou, E. Bratsolis, S. Gyftakis, E. Charou, N.Vassilas,
“Comparative Study of Visual Feature Extraction Methods for Building Retrieval
on Urban Databases”, in Proc. 6th International Conference on Information,
Intrelligence, Systems and Applications, (IISA 2015), Corfu, Greece, July 6-8,
2015.
6.3.47. A. Kesidis, N.Vassilas, Th.
Tsenoglou, D. Ghazanfarpour, “Experimental Sensitivity Investigation of
Mean-Shift Variants to Bandwidth Parameters for 3D Buildings Reconstruction”,
in Proc. 9th International Symposium on Image and Signal Processing and
Analysis, (ISPA 2015), Zagreb, Croatia, September 7-9, pp. 116-121, 2015.
6.3.48. G. Bardis, N. Sideris, N. Vassilas,
G. Miaoulis, “An Intelligent GIS Database Framework Featuring Building Query
Functionality Using N-grams Encoding and k-means Classification”, in Proc. 2nd
Workshop (IPMSC) of the 16th International Conference on Engineering
Applications of Neural Networks (EANN 2015), Rodos, Greece, September 2015.
6.3.49. N. Sideris, G. Bardis, N. Vassilas,
G. Miaoulis, “An Integrated Framework for Semantic Modelling and Decision
Support in 3D Urban Virtual Environments”, in Proc. 2nd Workshop (IPMSC) of the
16th International Conference on Engineering Applications of Neural Networks
(EANN 2015), Rodos, Greece, September 2015.
6.3.50. E. Spyrou, A. Kesidis, N.Vassilas,
“Robust Retrieval from Compressed Urban Databases Using SIFT Local Features”,
in Proc. International Conference
‘Science in Technology’ (SCinTE’2015),
6.3.51.
G. Papadopoulos, N.Vassilas, A. Kesidis, “Convolutional Neural Network for
Detection of Building Contours Using Multisource Spatial Data”, in J.
Macintyre, L. Iliadis, I. Maglogiannis and C. Jayne (eds), Engineering
Applications of Neural Networks (EANN 2019), Communications in Computer and
Information Science, Vol. 1000, Springer, 2019.
6.4.
INTERNAL REPORTS:
6.4.1.
N. Vassilas, "A Study of the Continuous One-Dimensional Batch Kohonen
Algorithm," Internal Report No. 94.5, Laboratoire Microinformatique, Ecole
Polytechnique Federale de Lausanne,
6.4.2. N.
Vassilas, S. Perantonis, V. Virvilis, Ch. Papageorgiou, A. Rabavilas and C.
Stefanis, “ERP Classification Using Neural Network Based Feature Selection and
Multiple Classifier Modules”, Internal Report, Athens, 1999.
6.5. TECHNICAL REPORTS:
6.5.1. S. Varoufakis, S. Perantonis, N. Vassilas, D. Karras, E.
Charou, A. Benaki, B. Gatos, Ch. Kosmas,
D. Kalogeras and O. Michanetzis. Final technical report of the research project
SPA 14DHMO1 “Neural Networks”,
6.5.2. S. Varoufakis, S. J. Perantonis, N. Vassilas and N. Ampazis. First Year Report
of Project “GEONICKEL” - Technical Annex (Special Report of WP3 - Image
Processing, Pattern Recognition), January 1997.
6.5.3. S. Perantonis, V. Virvilis and N. Vassilas. Annual
progress report of the research project PENED “Development of Neural Network
Algorithms for the Study and Prediction of Plasma Parameters in Reactors of
Thermal Nuclear Fusion”, June
6.5.4. S. Perantonis, N. Vassilas and Th. Tsenoglou. Intermediate progress report for the research project PAVE
KT222 “Integrated Knife Encoding and Classification System”, December
6.5.5. S. Varoufakis, N. Vassilas, S.
J. Perantonis, N. Ampazis, V.
Virvilis, E.
Charou, K.
Seretis and Th. Tsenoglou. Documentation for ANN Classification and Lineament Detection Software (WP3). User’s manual. Project “GEONICKEL” Deliverable,
January 1998.
6.5.6. S. Varoufakis, S. J. Perantonis, N. Vassilas and N.
Ampazis (1998). Second Year Report of Project “GEONICKEL” - Technical Annex 3
(Special Report of WP3 - Image Processing, Pattern Recognition), January 1998.
6.5.7. S. Perantonis, V. Virvilis and N. Vassilas. Final
progress report of the research project PENED “Development of Neural Network
Algorithms for the Study and Prediction of Plasma Parameters in Reactors of
Thermal Nuclear Fusion”, June
6.5.8. S. Perantonis, N. Vassilas and Th. Tsenoglou. Final
progress report for the research project PAVE KT222 “Integrated Knife Encoding and
Classification System”, December
6.5.9. N.
6.5.10. N. Vassilas, C. Efstathiou and E. Galiotou. Report on suggestions from
international organizations for undergraduate Computer Science curricula for
the project EPEAEK II “Undergraduate Computer Science Curriculum”, February
6.5.11. D. Kehagias, N. Vassilas and F. Maggafas. Report on
Assessment of Semantic Net Technology for the research project IST-ELEGANT “Electronic Government Advisor Agent”, June
2005. In Greek.
6.5.12. N. Vassilas, E. Charou, G. Miaoulis, E. Petsa and L.
Grammatikopoulos. Report on geospatial data aquisition for the project “Intelligent
Pattern Recognition Techniques for the Development of Multimodal
Representations of Urban Areas (3D-CITY)”, ARCHIMEDES ÉÉÉ, December 2012. In Greek.
6.5.13. N. Vassilas, A. Kesidis, E. Charou, D. Ghazanfarpour, S.
Gyftakis and Th. Tsenoglou. Report on segmentation methods for urban area data for the project
3D-CITY, ARCHIMEDES ÉÉÉ, June 2014. In Greek.
6.5.14. N. Vassilas, Th. Tsenoglou, A. Kesidis, D.
Kosmopoulos, E. Charou, E. Bratsolis and S. Gyftakis. Report on 3-D modeling method
for the project 3D-CITY, ARCHIMEDES ÉÉÉ, March 2015. In Greek.
6.5.15. G. Bardis, G. Miaoulis, N. Sideris and N. Vassilas. Report
on the proposed integrated system of the project 3D-CITY, ARCHIMEDES ÉÉÉ, September 2015. In Greek.
6.5.16. L. Grammatikopoulos, H. Kalisperakis, E. Petsa, A. Kesidis
and N. Vassilas. Report on model completion and image registration for the
project 3D-CITY, ARCHIMEDES ÉÉÉ, October 2015. In Greek.
6.5.17. L. Grammatikopoulos, H. Kalisperakis, E. Petsa,
A. Kesidis and N. Vassilas. Report on automated texture rendering for the
project 3D-CITY, ARCHIMEDES ÉÉÉ, October 2015. In Greek.
6.5.18. N. Vassilas, G. Miaoulis, A. Kesidis, E.
Bratsolis, P. Kolliopoulos and Th. Tsenoglou. Report on model completion with
texture for the project 3D-CITY, ARCHIMEDES ÉÉÉ, October 2015. In Greek.
6.5.19. N. Vassilas, G. Miaoulis and E. Petsa. Final evaluation
report of the project 3D-CITY, ARCHIMEDES ÉÉÉ, October 2015. In Greek.
7. CITATIONS
The citations on the
above published research work that I know up to now are more than 300.
8. COMMITTEES
·
Chair, Student
Sessions, Advanced Course on Artificial Intelligence (ACAI’99),
·
Co-chair, Workshop “Intelligent Techniques
for Spatio-Temporal Data Analysis in Environmental Applications”, ACAI’99,
·
Member, Organizing
and Program Committees, ACAI’99,
·
Member, Program
Committee, 2nd Panhellenic
Conference on AI,
·
Member,
International Program Committee, International
Workshop on Applied Information Technology (IAIT’05),
·
Member, Scientific
Committee, 14th National Conference of Academic Libraries,
·
Member, Program
Committee, 4th Panhellenic
Conference on AI,
·
Member, Scientific
Committee, 2nd ARCHIMEDES Conference, TEI of
·
Member, Organizing
and Program Committee, International Conference on Computer Graphics and Artificial Intelligence (3IA), from 2007
to 2013.
9. ACTIVE OR EX MEMBER OF SCIENTIFIC
ORGANIZATIONS
·
Technical Chamber of
· Institute of Electrical and Electronics Engineers
(IEEE)
· IEEE Computational Intelligence Society
· IEEE Systems, Man and Cybernetics Society
· Hellenic Society of Artificial Intelligence
· Greek Computer Society
10.
REFEREE
I. INTERNATIONAL JOURNALS
·
Fuzzy Sets & Systems
·
IEEE Transactions on Neural Networks
·
Neural Networks
·
Neural Processing
Letters
· Applied Artificial
Intelligence
·
Artificial
Intelligence Tools
·
Signal Processing
·
Environmental
Informatics
·
Environmental
Monitoring
·
IEEE Transactions
on Industrial Informatics
·
Visual
Communication and Image Repreentation
·
IET Image
Processing
·
SpringerPlus
·
Remote Sensing
·
Applied Sciences
II. INTERNATIONAL CONFERENCES
· Advanced Course on
Artificial Intelligence (ACAI),
·
International Joint Conference on Neural Networks (IJCNN), 2000, 2019,
2020 êáé 2021.
·
14th European Conference on Artificial Intelligence (ECAI), 2000.
·
International Conf. on Artificial Neural Networks (ICANN), 2001, 2002 êáé 2018.
·
The International Workshop on Applied Information Technology (IAIT’05),
2005.
·
International Conference on Computer Graphics and Artificial Intelligence (3ÉÁ),
2007-13.
·
Engineering
Applications of Neural Networks (EANN), 2011, 2013, 2015 êáé 2019.
·
International
Conference ‘Science in Technology’ SCinTE 2015.
·
14th Int’l Conf.
on Artificial Intelligence Applications and Innovations (ÁÉÁÉ), 2018.
·
IEEE Conference on
Evolving and Adaptive Intelligent Systems (EAIS), 2018 êáé 2019.
III.
NATIONAL CONFERENCES
· Panhellenic Conference on
AI (SETN), 2002-20.
· 14th National Conference of Academic Libraries,
· 11th Panhellenic
Conference on Informatics (PCI’07),