ΒΙΟΓΡΑΦΙΚΟ ΣΗΜΕΙΩΜΑ ΝΟΚΑ ΓΕΩΡΓΙΟΥ
Τόπος γέννησης: Αθήνα
Ημερομηνία γέννησης: 12-06-1971
Επαγγελματική κατάσταση: Μέλος Ε.ΔΙ.Π Παν/μίου Πελοποννήσου.
Εκπαίδευση:
1990-1996: Δίπλωμα Ηλεκτρολόγου Μηχανικού και Τεχνολογίας Υπολογιστών
Παν/μίου Πατρών.
1997-2004: Διδάκτορας τμήματος Ηλεκτρολόγων Μηχανικών και Τεχνολογίας Υπολογιστών
Παν/μίου Πατρών.
Διδακτική εμπειρία:
1. Εργαστηριακός συνεργάτης στα ΤΕΙ Πατρών (2001-2003).
2.Εργαστηριακός συνεργάτης στο τμήμα ΔΜΥΠ του ΤΕΙ Καλαμάτας2004-2011
3. Επιστημονικός συνεργάτης στο ΤΕΙ Πελοποννήσου 2014-2018.
4. Καθηγητής Πληροφορικής ΠΕ19 μέσης εκπαίδευσης 2004- 2021.
5. Μέλος Ε.ΔΙ.Π Πανεπιστημίου Πελοποννήσου 2021-σήμερα.
Επαγγελματική Εμπειρία:
1. Συμμετοχή σε ερευνητικά προγράμματα
1995 - 1996: Συμμετοχή στο πρόγραμμα "Developing of an Isolated Speech Recognition System,
Speaker Independent for the Digits and a Restricted Number of Commands in PCs and through
Telephone Lines" General Secretariat Of Research And Technology, Siemens S.A.,University Of
Patras. R&D Project.
1997: Συμμετοχή στο πρόγραμμα: «ACCeSS, Automated Call Center Through Speech
Understanding System (LEI-1802 10347/0», E/E. Το πρόγραμμα υλοποιήθηκε στο εργαστήριο
Ενσύρματης Τηλεπικοινωνίας.
2000: Συμμετοχή στο πρόγραμμα: "Automatic Speech Recognition in Very Noisy
Environments", R&D project in corporation with Snt Petersburg University, Russia. Το
πρόγραμμα υλοποιήθηκε στο εργαστήριο Ενσύρματης Τηλεπικοινωνίας.
2001: Συμμετοχή στο πρόγραμμα ”Development of advanced hybrid methods in critical
decisions: applications in medicine”, ΠΕΝΕΔ’ 99 Δεκέμβριος 1999-Ιούλιος 2001. Το πρόγραμμα
υλοποιήθηκε στο εργαστήριο Αυτοματισμού και Ρομποτικής Παν/μίου Πατρών.
2002-2004: Συμμετοχή στο πρόγραμμα: “Telecare” EOK/IN-13, ΕΙΧΗΜΥΘ. Στα πλαίσια του
προγράμματος σχεδιάστηκαν και υλοποιήθηκαν: α) ένα σφυγμοξύμετρο και β) ένας
καρδιογράφος πολύ μικρών διαστάσεων με χρήση του μικροεπεξεργαστή MSP430 της Texas
Instr.
2004-2005: Συμμετοχή στo πρόγραμμα HEACE ( www.heace.org ).
2005–2007: Συμμετοχή στο πρόγραμμα ΠΥΘΑΓΟΡΑΣ ΙΙ (ΕΠΕΑΕΚ
http://epeaek.upatras.gr/index/sub_project/103 ) στο υποέργο: «Έλεγχος θορύβου σε οικίες,
γραφεία και εργοστάσια για την προστασία του ατόμου/εργαζομένου: με την Αυτοματοποιημένη
Μεθοδολογία της Μείωσης του Θορύβου με Ενεργά Μέσα και συνδυασμένη χρήση Τεχνητών
Νευρωνικών Δικτύων και Γενετικών Αλγορίθμων» ως μεταδιδακτορικός ερευνητής.
2004-2006: Συμμετοχή στο πρόγραμμα MESEMA http://ec.europa.eu/
research/transport/projects/items/mesema_en.htm .
2006 – 2010: Συμμετοχή στο πρόγραμμα SENSE (ftp://ftp.cordis.europa.eu/
pub/ist/docs/dir_c/ems/sense-v2_en.pdf). Η συμμετοχή περιλαμβάνει την υλοποίηση ενός
ακουστικού συστήματος εντοπισμού και ταξινόμησης ηχητικών πηγών.
Ξένες Γλώσσες:
Αγγλικά: Άριστα (Proficiency Michigan 2003).
Γαλλικά: Καλή γνώση (Β2 επίπεδο).
Συμμετοχή σε επιστημονικές επιτροπές
Κριτής στο περιοδικό IEEE Signal Processing Letters
Κριτής σε επιστημονικά συνέδριαΜέλος επιστημονικής επιτροπής στα συνέδρια:
1st IC-SCCE, Athens, Greece, September 2004.
1st Eps-Mso , Athens, Greece, July 2005.
2nd Eps-Mso , Athens, Greece, July 2007.
3rd Eps-Mso, Athens, Greece, July 2009
Επιστημονικές εργασίες:
A. Περιοδικά
[1]Nokas G., Dermatas E. ''Speaker Tracking for Hands-Free Continuous Speech Recognition in Noise
based on a Spectrum-Entropy beamforming method'', IEICE Trans. Inf. & SYST., Vol. E86-D No4. pp.
755-758, April 2003.
[2]Nokas G., Dermatas E. ''Maximum Likelihood Adaptation for Distant Speech recognition of Stationary
and Moving Speakers in Reverberant Environments'', Signal Processing and Pattern Recognition AMSE
periodicals, Vol. 47 nº 2, pp. 33-46,2004, ISSN: 1240-4543.
[3]Nokas G., Dermatas E. ''Continuous Speech Recognition in noise using a Spectrum Entropy beam-
former'', International Journal of Robotics and Automation, Acta Press, Vol. 22 nº 2, pp. 103-111, 2007.
[4]Nokas, G., & Kotsilieris, T. (2023). Preventing keratoconus through eye rubbing activity detection: A machine learning approach. Electronics (Switzerland), 12(4) doi:10.3390/electronics12041028
Β. Συνέδρια με κρίση σε όλο το κείμενο
[2]G. Nokas E.Dermatas, G. Kokkinakis: ``Maximum Likelihood Adaptation for Distant Speech
recognition of Stationary and Moving Speakers in Reverberant Environments'', in proc. Eurospeech 2001,
pp. 2631-2634, Aalborg Denmark.
[2] G. Nokas E.Dermatas: ``Hands-Free Continuous Speech Recognition In Noise Using A Speaker Beam-
Former Based On Spectrum-Entropy'' in proc. IEEE ICASSP 2002, pp. 889-892, Orlando Florida.
[3]G. Nokas E.Dermatas: ``Spectrum-Entropy Based Beam-Former With Speaker Tracking For Hands-Free
Continuous Speech Recognition In Noise'', in proc. IEEE DSP2002, pp. 251-254, Greece Sandorini.
[4] George G. Georgoulas, George N. Nokas, Chrysostomos D. Stylios, and Peter P. Groumpos:
“Classification of Fetal Heart Rate during labour using Hidden Markov Models” , IJNN IEEE conference,
Budapest 2004.
Γ. Συνέδρια με κρίση σε εκτεταμένη περίληψη
[1]G.Nokas E.Dermatas G.Kokkinakis , ''On The Robustness Of The Critical-Band Adaptive Filtering
Method For Multi-Source Noisy Speech Recognition'' Eurospeech'97 pp. 1587-1590 Vol. 3.
[2] G.Nokas, E. Dermatas And G. Kokkinakis, ''Robust Speech Recognition In An Environment Of Moving
Noise Sources '', in proc. SPECOM, pp 105-108, Oct. 1997.[10]G.Nokas E.Dermatas G.Kokkinakis , ''Speech Recognition In Noisy Reverberant Rooms Using
Frequency Domain Adaptive Filtering '' in proc. Text Speech Dialogue pp. 281-284, Brno 1998.
[3]G.Nokas E.Dermatas G.Kokkinakis , ''Robust Speech Recognition In Noisy Reverberant Rooms '', in
proc. SPECOM , pp. 257-260, Moscow 1998.
[4]G.Nokas E.Dermatas ''Speech Recognition In Noisy Reverberant Rooms Using A Frequency Domain
Blind Deconvolution Method'' , in proc. Eurospeech, vol. 6, pp. 2853-2856, Budapest 1999.
[5]G. Nokas E.Dermatas, G. Kokkinakis, Feature Compensation For Reverberant Speech Recognition
Using Moments, ''100 years phonetics in Russia'', St. Petersburg University, 2001.
[6]G. Nokas E.Dermatas, G. Kokkinakis: ``Feature Adaptation using A Probabilistic Neural Network for
Speech recognition of Moving Speakers in Reverberant Environments'', in proc. Specom 2001 Moscow
Russia.
[7]G. Nokas E.Dermatas:'' Spectrum-Entropy Beam-Former For Hands-Free Continuous Speech
Recognition In Real Environments'', DOGS 2002, pp. 45-48, Becej Serbia.
[8]Koutras, I. Chtistoyanni, G. Nokas, G. Georgoulas, Ch. Stylios, P. Groumpos: “Linear and nonlinear
approaches for cardiogram data prediction”, 5th International Workshop on Mathematical methods in
scattering theory and Biomedical Technology, Corfu, Greece, 2001.
[9]G. Nokas, A. Koutras, I. Chtistoyanni, G. Georgoulas, Ch. Stylios, P. Groumpos: “Prediction of
missing data in cardiotocograms using the expectation maximization algorithm”, 5th International
Workshop on Mathematical methods in scattering theory and Biomedical Technology, Corfu, Greece,
2001.
[10] G.Nokas, P. Vlachopoulos: “Reliable Tele-Education: Requirements, Scenarios and Concepts”, in
proc. “New Horizons in Industry and Education”, Milos, Greece, 2001.
[11] G. Nokas, E. Dermatas and G. Kokkinakis: “Distant Speech Recognition using Stochastic Estimation
of a Speaker’s DOA in Microphone Arrays” , in proc. SPECOM, Moscow Russia Oct. 2003.
[12] I.E. Lamprinos, A. Prentza, G. Nokas, E. Dermatas, A Tsoukalis, D.Koutsouris: “Design of wireless
network of sensors for continuous monitoring of vital biosignals”, in proc. IEE Eurowearable 2003, Univ.
of Birmingham, UK.
[13] Nokas G., Diamantis Z. and Tsahalis D. “Alternative neural network topologies for comfort index
estimation in aircraft environments”. In proc. 1st IC-SCCE, pp. 160-163, Vol. 1, Athens, Greece, September
2004.
[14] Nokas G., Photeinos D., and Tsahalis D. “Optimized feature extraction for comfort index estimation in
aircraft environments”. In proc. 1st IC-SCCE, pp. 1002-1005, Vol. 3, Athens, Greece, September 2004.
[15] Diamantis Z., Photeinos D., Nokas G. and Tsahalis D. “Selection of the optimal patterns for the
training of an artificial neural network based virtual passenger using a genetic algorithm”. In proc. 1st IC-
SCCE, pp. 1097-1102, Vol. 3, Athens, Greece, September 2004.
[16] George Nokas, Dionysios Photeinos, Konstantinos Tsokas and Demos T. Tsahalis, ”Α human response
model for aircraft environment based on neural networks“,In proceedings of 1st EpsMso International
Conference, Athens 2005.
[17] Tsahalis D.T., Tsokas K. Nokas G. “"A Neural Network based Human Response Model for Real
Aircraft environment". In proceedings of 2nd IC-SCCE, Athens 2006.
General Information
Surname: Nokas
First Name: George
Father’s name: Nikolaos
Date of birth: 12th June 1971
Nationality: Greek
Marital status: Married
Military Service: Fulfilled
Address: Antikalamos Messinias. P.C. 24100 Messinia, Greece
Email: g.nokas@uop.gr Telephone: 27210 - 45153
Studies
1997-2004: Received his PhD degree on Computer Engineering: "Speech recognition in noise using multiple microphones", at Patras University, Department of Electrical and Computer Engineering.
1990-1996 Patras University, Department of Electrical and Computer Engineering, Division of Telecommunications & Information Technology Diploma Thesis: “Speech recognition system based on psychoacoustic hearing models”, University of Patras, 1996 – Grade: Excellent (10).
Teaching Experience
2001-2018 Adjunct Scientific Staff of the Technological Institute of Patras and of
Peloponnese.
2004-2021 Teacher of Informatics in secondary schools.
2021- today Laboratory Teaching Staff of the University of PeloponneseWork Experience
During his collaboration with Electrical Engineering Department of the University of Patras he
participated in the following projects:
1995-1996: "Developing of an Isolated Speech Recognition System, Speaker Independent for
the Digits and a Restricted Number of Commands in PCs and through Telephone
Lines" General Secretariat Of Research And Technology of Greece, Siemens
S.A.,University Of Patras. R&D Project.
1997: «ACCeSS, Automated Call Center Through Speech Understanding System (LEI-
1802 10347/0», EU.
1999: «KORAIS-Novel Greek-English electronic dictionary 100000 lemas». Secretariat Of
Research And Technology of Greece, R&D Project.
2000: "Automatic Speech Recognition in Very Noisy Environments", R&D project in
corporation with Snt Petersburg University, Russia.
2001: ” Development of advanced hybrid methods in critical decisions: applications in
medicine”, PENED.
2002-2004: “Telecare” EU/IN-13.
From 2004 since 2010 he was with the Laboratory of fluid mechanics and energy, Chemical Engineering
Department of the University of Patras, as a post-doc researcher. During this time, he participated in
the following projects:
2004-2005: HEACE (Health Effects in Aircraft Cabin Environment). His contribution was in the
modeling of a virtual airplane passenger. More specific, an comfort index
estimation system has been designed. The estimated index calculates how
comfortable the passenger is feeling. The estimation system has been developed
in Matlab.
2005–2007 PYTHAGORAS ΙΙ (EPEAEKhttp://epeaek.upatras.gr/index/sub_project/103 ) in the
subtask “Noise control in home/office/industry environment for the protection of
the employes using automated active methods with Neural Networks and genetic
algorithms as post-doc researcher.2004-2006: MESEMA. His contribution consist of a) Find the optimal position of actuators for noise reduction in an airplane fuselage. b) Parameter optimization of an electric generator based on smart materials (Τerfenol-Β) which uses the airplane's vibrations for the production of elctrical power.
2006 – 2010: SENSE. His contribution consists of the development of a sound source identification/classification system for use in airport environment. The system was based on Analog Devices Blackfin Processors.
Scientific Publications
Journals (4)
Nokas, G., & Kotsilieris, T. (2023). Preventing keratoconus through eye rubbing activity detection: A machine learning approach. Electronics (Switzerland), 12(4) doi:10.3390/electronics12041028
Nokas, G., & Dermatas, E. (2007). Continuous speech recognition in noise using a spectrum-entropy beam-former.International Journal of Robotics and Automation, 22(2), 103-110. doi:10.2316/journal.206.2007.2.206-2735
Nokas, G., & Dermatas, E. (2004). Maximum likelihood adaptation for distant speech recognition of stationary and moving speakers in a noisy reverberant environment. Advances in Modelling and Analysis B, 47(1-2), 33-45.
Nokas, G., & Dermatas, E. (2003). Speaker tracking for hands-free continuous speech recognition in noise based on a spectrum-entropy beamforming method. IEICE Transactions on Information and Systems, E86-D(4), 755-758.
Conference full paper review (4)
Nokas, G., & Dermatas, E., & George, K. (2001). Maximum likelihood adaptation for distant speech recognition of stationary and moving speakers in reverberant environments. Paper presented at the EUROSPEECH 2001 - SCANDINAVIA - 7th European Conference on Speech Communication and Technology, 2631-2634.
Nokas, G., & Dermatas, E. (2002). Hands-free continuous speech recognition in noise using a speaker beam-
former based on spectrum-entropy. Paper presented at the ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, , 1 I/889-I/892. doi:10.1109/icassp.2002.5743882
Nokas, G., & Dermatas, E. (2002). Spectrum-entropy based beam-former with speaker tracking for hands-free
continuous speech recognition in noise. Paper presented at the International Conference on Digital Signal
Processing, DSP, , 1 251-254. doi:10.1109/ICDSP.2002.1027881
Georgoulas, G. G., Stylios, C. D., Nokas, G., & Groumpos, P. P. (2004). Classification of fetal heart rate during
labour using hidden markov models. Paper presented at the IEEE International Conference on Neural Networks -Conference Proceedings, , 3 2471-2475. doi:10.1109/IJCNN.2004.1381017 Conference paper
abstract review (29)
Nokas, G., Dermatas, E., & Kokkinakis, G. (1997). ON THE ROBUSTNESS OF THE CRITICAL-BAND ADAPTIVE
FILTERING METHOD FOR MULTI-SOURCE NOISY SPEECH RECOGNITION. Paper presented at the 5th European
Conference on Speech Communication and Technology, EUROSPEECH 1997, 1587-1590.
G.Nokas, E. Dermatas And G. Kokkinakis, ''Robust Speech Recognition In An Environment Of Moving Noise
Sources'', in proc. SPECOM, pp 105-108, Oct. 1997.
G.Nokas E.Dermatas G.Kokkinakis , ''Speech Recognition In Noisy Reverberant Rooms Using Frequency Domain Adaptive Filtering '' in proc. Text Speech Dialogue pp. 281-284, Brno 1998.
G.Nokas E.Dermatas G.Kokkinakis , ''Robust Speech Recognition In Noisy Reverberant Rooms '', in proc. SPECOM, pp. 257-260, Moscow 1998.
G.Nokas E.Dermatas ''Speech Recognition In Noisy Reverberant Rooms Using A Frequency Domain Blind
Deconvolution Method'' , in proc. Eurospeech, vol. 6, pp. 2853-2856, Budapest 1999.
G. Nokas E.Dermatas, G. Kokkinakis, “Feature Compensation For Reverberant Speech Recognition Using Moments, - 100 years phonetics in Russia'', St. Petersburg University, 2001.
G. Nokas E.Dermatas, G. Kokkinakis: ``Feature Adaptation using A Probabilistic Neural Network for Speech
recognition of Moving Speakers in Reverberant Environments'', in proc. Specom 2001 Moscow Russia.
G. Nokas E.Dermatas:'' Spectrum-Entropy Beam-Former For Hands-Free Continuous Speech Recognition In Real Environments'', DOGS 2002, pp. 45-48, Becej Serbia.
Koutras, I. Chtistoyanni, G. Nokas, G. Georgoulas, Ch. Stylios, P. Groumpos: “Linear and nonlinear approaches for cardiogram data prediction”, 5th International Workshop on Mathematical methods in scattering theory and Biomedical Technology, Corfu, Greece, 2001.
G. Nokas, A. Koutras, I. Chtistoyanni, G. Georgoulas, Ch. Stylios, P. Groumpos: “Prediction of missing data in
cardiotocograms using the expectation maximization algorithm”, 5th International Workshop on Mathematical methods in scattering theory and Biomedical Technology, Corfu, Greece, 2001.
G.Nokas, P. Vlachopoulos: “Reliable Tele-Education: Requirements, Scenarios and Concepts”, in proc. “New
Horizons in Industry and Education”, Milos, Greece, 2001.
G. Nokas, E. Dermatas and G. Kokkinakis: “Distant Speech Recognition using Stochastic Estimation of a Speaker’s DOA in Microphone Arrays” , in proc. SPECOM, Moscow Russia Oct. 2003.
I.E. Lamprinos, A. Prentza, G. Nokas, E. Dermatas, A Tsoukalis, D.Koutsouris: “Design of wireless network of sensors for continuous monitoring of vital biosignals”, in proc. IEE Eurowearable 2003, Univ. of Birmingham, UK.
Nokas G., Diamantis Z. and Tsahalis D. “Alternative neural network topologies for comfort index estimation in
aircraft environments”. In proc. 1st IC-SCCE, pp. 160-163, Vol. 1, Athens, Greece, September 2004.
Nokas G., Photeinos D., and Tsahalis D. “Optimized feature extraction for comfort index estimation in aircraft
environments”. In proc. 1st IC-SCCE, pp. 1002-1005, Vol. 3, Athens, Greece, September 2004.
Diamantis Z., Photeinos D., Nokas G. and Tsahalis D. “Selection of the optimal patterns for the training of an
artificial neural network based virtual passenger using a genetic algorithm”. In proc. 1st IC-SCCE, pp. 1097-1102, Vol. 3, Athens, Greece, September 2004.
George Nokas, Dionysios Photeinos, Konstantinos Tsokas and Demos T. Tsahalis, ”Α human response model for aircraft environment based on neural networks“,In proceedings of 1st EpsMso International Conference, Athens 2005.
Tsahalis D.T., Tsokas K. Nokas G. “"A Neural Network based Human Response Model for Real Aircraft
environment". In proceedings of 2nd IC-SCCE, Athens 2006.
Nokas G., Tsahalis D.T “"Optimal Positioning of an Active Vibration Control System inside an Aircraft, with the use of a Genetic Algorithm". In proceedings of 2nd IC-SCCE, Athens 2006.
Tsahalis D., Nokas G., Photeinos D. “Οptimization of a terfenol based magnetostrictive electrical generator’s
parameters with the use of a genetic algorithm“,In proceedings of 2nd EpsMso International Conference, Athens 2007.
Speech recognition, Pattern recognition, Artificial inteligence, Signal processing