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1 CURRICULUM VITAE Halis ALTUN Nigde University Engineering Department Electrical Electronics Engineering 51100, Nigde, Turkey Personal Data Phone: ( ) Fax: ( ) Education PhD, Department of Electrical and Electronic Engineering, University of Nottingham, Nottingham, UK, July 1998 Thesis: Evaluation of neural learning in a MLP NN for an acoustic-to-articulatory mapping problem using different training pattern vector characteristics BSc, Department of Electronics and Communication Engineering, Yıldız Teknik University, İstanbul, Turkey, February 1991 Project: An application of ultrasonic transducers for distant measurement. Research Interests Machine Learning, Human-Computer Interaction (HCI), Multimodal HCI, Affective Computing, Intelligent Systems, Implementation of Artificial Intelligence on Embedded Systems, The application of computational intelligence to power systems, Economical and Environmental Power Dispatch using Artificial Intelligence. In general my main research activities have addressed to the soft computing techniques such as artificial neural networks, genetic algorithm, particle swarm and taboo search to diverse application areas such as speech and image processing. During the period I have also conducted researches in order to improve performance of neural classifiers, under heavily skewed multi-dimensional training data I was the principal investigator for a project on affective computing which aimed to detect the emotional state of a user using speech and facial image. The title of the project was Determination and Fusion of Bimodal Biometric Parameters From Speech Signal and Face Image to Improve Human-Computer Interaction. The project was funded by TUBITAK. Currently I am working on Implementation of Signal Processing and Pattern Recognition Techniques on Embedded Systems and we are carrying out a project with the title Design of a Synthesiser Interface for efficient and modular implementation of signal processing and classifier algorithms on Field Programmable Gate Arrays which is supported by TUBITAK Research Experience Academic Visitor June 2006-September 2006 Electronics and Computer Science, Southampton University and Computer Science, University College of London (UCL)

2 A postdoctoral visit to Machine Learning Group (ISIS) leading by Prof. John Shawe Taylor of Southampton University. The first part of research has been carried out in ISIS group within the department of Electronics and Computer Science, Southampton University. The last part of research has been completed at Computer Science of University College of London Assistant Professor June present Electrical-Electronics Engineering Department, Niğde University PhD Student October October 1998 Electrical Engineering, Nottingham University Faculty of Engineering My research addressed to the problem of efficient parameter extraction for an articulatory speech synthesizer. The effect of statistical characteristics of training data on the performance of neural estimator is investigated and a modification scheme was proposed which resulted in an improved performance of MLP neural network estimation. Nigde University Research Asssistant August 1993-June/1999 Teaching Experience Nigde University, Faculty of Engineering, Electrical-Electronics Engineering Department Numerical Methods Programming Language Signal and Systems Communication Theory Neural Networks for Signal Processing Digital Filters Probability and Random Processes Speech Analysis Pattern Recognition Soft Computing Software Skills: Programming Languages/ Packages: MATLAB, C/C++, VBasic, VHDL Funded Research Projects 1. Acquiring Science Process Skills in the Concept of Modeling Hearing and Seeing: Artificial Ear and Color Recognizing Robot, Science and Society Program, The Scientific and Technological Research Council of Turkey (TUBITAK) Research project, 109B080, Principal Investigator, Design of a Synthesiser Interface for Efficient and Modular Implementation of Signal Processing and Classifier Algorithms on Field Programmable Gate Arrays, The Scientific and Technological Research Council of Turkey (TUBITAK) Research Project 108E055, Researcher, Modular Implementation of Image Processing and Patter Recognition Techniques for a Real Time Application to License Plate Recognition, Model and

3 Color Detection, Ministiry of Industry and Trade, SANTEZ STZ , Principal Investigator, Optimal Control and Integration of PEM Fuel Cells as Distributed Electricity Generators using Algorithms based on Fuzzy Logic, Genetic Algorithm and Artificial Neural Networks, State Planning Agency (DPT) Advanced Research Project, Principal Investigator, Determination and Fusion of Bimodal Biometric Parameters From Speech Signal and Face Image to Improve Human-Computer Interaction, The Scientific and Technological Research Council of Turkey (TUBITAK) Research project 104E179, Principal Investigator Oct Oct A Comparison of Neural Networks, Genetic Algorithm and Tabu Search Algorithm for Solving Economic Dispatch Problem, Final Report: 2003, Research Fund of University of Nigde, F2001/04, Principal Investigator Investigation of the Effect of the Input-Output Vector Distribution Characteristics in MLP NN on the final weights, Final Report: April 2001., Research Fund of University of Nigde, F99/04,2001, Researcher MSc Theses Supervised 1. GUNAY, E., Cellular Neural Networks in Medical Imaging, Hücresel yapay sinir ağları ve medikal görüntü işleme, Niğde Üniversitesi, Fen Bilimleri Enstitüsü, Elektrik-Elektronik Mühendisliği Ana Bilim Dalı, KARADAL, H., Investigation of voltage stability using artificial neural networks, Gerilim kararlılığının yapay sinir ağları ile incelenmesi,, Niğde Üniversitesi, Fen Bilimleri Enstitüsü, Elektrik-Elektronik Mühendisliği Anabilim Dalı, DOGAN, G., Determination of affective state of a user from speech signals using artificial neural networks, Niğde Üniversitesi, Fen Bilimleri Enstitüsü, Elektrik- Elektronik Mühendisliği Anabilim Dalı, POLAT, G, Improving discriminative power of speech related features using feature selection algoritms in emotion detection, Niğde Üniversitesi, Fen Bilimleri Enstitüsü, Elektrik-Elektronik Mühendisliği Anabilim Dalı, PEKER M., Improving background estimation and segmentation algorithms for real time applications, (2009,- on going) 6. YURDANUR M., Color detection based on soft computing algorithms, (2009,- on going) Honor and Awards Niğde Universitesi Awards for Scientific Productivity Yayın Teşvik Ödülleri (2005, 2006, 2007, 2008,2009)

4 Tübitak Ulakbim Publication Promotion Awards, Yayın Teşvik Ödülleri (2005, 2006, 2007, 2008, 2009) 2006 A grant by The Scientific and Technical Research Council of Turkey (TUBİTAK) for an academic visit, to the Electronics and Computer Science Department at Southampton University and to the Computer Science Department at University College of London leading by Prof. Dr. John S. Taylor who is coordinator for PASCAL Pattern Analysis Statistical Modeling and Computational Learning, FP6 Network of Excellence 1993 Overseas Postgraduate Student Scholarship from The Turkish Council of Higher Education (YOK) Turkey Society Memberships Member, The Institute of Electrical and Electronics Engineers (IEEE) Inc., U.S.A PASCAL2, Pattern Analysis Statistical Modeling and Computational Learning, IST-funded Network of Excellence for Multimodal Interfaces, FP6 (Coordinators: John-Shawe Taylor (Scientific Coordinator University College London, U.K.) and Steve Gunn (Operational Coordinator the University of Southampton, U.K.) (2008-) Member, PASCAL, Pattern Analysis Statistical Modeling and Computational Learning, IST-funded Network of Excellence for Multimodal Interfaces, FP6 (Coordinator: John-Shawe Taylor) ( ) Publications A) Papers in Refereed International and National Journals A1) Altun H., Polat G. Boosting Selection of Speech Related Features to Improve Performance of Multi-class SVMs in Emotion Detection, Expert Systems with Application, 36(1), , (2009) A2) Bilgil A., Altun H., Investigation of flow resistance in smooth open channels using artificial neural networks, Flow Measurement and Instrumentation, 19(6), , (2008) A3) Altun H., Yalcinoz T., Implementing soft computing techniques to solve economic dispatch problem in power systems, Expert Systems with Application, 35(4), , (2008) A4) Altun H., Polat G., New frameworks to boost feature selection algorithms in emotion detection for improved human-computer interaction, Lecture Notes in Computer Science, LNCS 4729, pp , Springer-Verlag Berlin Heidelberg, (2007)

5 A5) Altun H, Bilgil A and BC Fidan, Treatment of skewed multi-dimensional training data to facilitate the task of engineering neural models, Expert Systems with Applications, 33(4), , (2007) A6) Altun H, Bilgil A and BC Fidan, Treatment of multi-dimensional data to enhance neural network estimators in regression problem, Expert Systems with Applications 32(2), , (2007) A7) Kahraman S., Altun H., Tezekici B.S. and Fener M, Sawability prediction of carbonate rocks from shear strength parameters using artificial neural networks, International Journal of Rock Mechanics and Mining Sciences, 43, , (2006) A8) Yalcinoz T and Altun H., A new genetic algorithm approach with arithmetic crossover to economic-environmental power dispatch, Engineering Intelligient Systems, Eng Int Syst, (1), 45 52, (2005) A9) Altun H., Curtis KM and Yalcinoz T., Neural learning for articulatory speech synthesis under different statistical characteristics of acoustic input patterns, Computers & Electrical Engineering, 29, , (2003) A10) Yalcinoz T. and Altun H., Power economic dispatch using a hybrid genetic algorithm, IEEE Power Engineering Review, Power Engineering Letters, 21 (3), 59-60, (2001) A11) Altun H., Yalcinoz T. and Curtis KM, Accurate parameter estimation for an articulatory speech synthesizer with an improved neural network mapping, Turkish Journal of Electrical Engineering & Computer Sciences, 9(2), , (2001) A12) Yalcinoz T. and Altun H., Comparison of simulation algorithms for hopfield neural network: an application of economic dispatch, Turkish Journal of Electrical Engineering & Computer Sciences, 8 (1), 67-80, (2000) B) Papers in International Conference Proceedings B1) Avcı G, Kösten MM, Altun H, Karakaya F, Çavuşlu MA, Implementation of an Hybrid Approach on FPGA for License Plate Detection Using Genetic Algorithm and Neural Networks, International Symposium on INnovations in Intelligent SysTems and Applications, June 29-July 1, 2009, Trabzon B1) Kösten MM, Avcı G, Çavuşlu MA, Karakaya F, Altun H, Analysis of Activation Function Implementation Methods and Arithmetic Representation In Terms of Hardware Resource, Precision and Speed Dilemma on FPGA, International Symposium on INnovations in Intelligent SysTems and Applications, June 29-July 1, 2009, Trabzon B2) Altun H, Shawe-Taylor J and Polat G, New feature selection frameworks in emotion recognition to evaluate the informative power of speech related features, ISSPA07, 9th International Symposium On Signal Processing and Its Applications, Sharjah, United Arab Emirates, 2007

6 B3) Altun H. Integrating learner s affective state in intelligent tutoring systems to enhance e-learning applications, Global Educational Technology Symposium, GETS2005, May 4-6, 2005, Little Rock, AR. USA, 2005 B4) Altun H. Human computer interaction and its impact on e-learning in engineering education, 1. Int. Conference on innovations in learning for the future: e- learning, , Istanbul, 2004 B5) Altun H. and Gelen G., Enhancing performance of MLP/RBF neural classifiers via an multivariate data distribution scheme, ICCI2004, International Conference on Computational Intelligence, Nicosia, North Cyprus, 2004 B6) Altun H And Bilgil A, Suspended sediment estimation using improved neural network mapping, International Turkish Symposium on Artificial Intelligence and Neural Networks TAINN 2004, , Izmir, 2004 B7) Altun H., Yalcinoz T., Comparision of genetic algorithm, Hopfield and MLP neural network techniques for a constrained optimization problem, International Turkish Symposium on Artificial Intelligence and Neural Networks, TAINN2003, Çanakkale, Turkey, 2003 B8) Yalcinoz T. and Altun H., Environmentally constrained economic dispatch via a genetic algorithm with arithmetic crossover, IEEE AFRICON, 6 th AFRICON Conference in Africa, , George, South Africa, 2002 B9) Yalcinoz T., Altun H. and Uzam M., Economic dispatch solution using a genetic algorithm based on arithmetic crossover, IEEE Porto PowerTech2001, Paper No. AIT1-166, Porto, Portugal, 2001 B10) Yalcinoz T., Altun H. and Hasan U. Constrained economic dispatch with prohibited operating zones : a Hopfield neural network approach, 10 th Mediterranean Electrotechnical Conference, IEEE MeleCon, , Cyprus, 2000 B11) Altun H., Yalcinoz T., and Tezekici B.S., Improvement in the learning process as a function of distribution characteristics of binary data set, 10 th Mediterranean Electrotechnical Conference, IEEE MeleCon, , Cyprus, 2000 B12) Altun H., Yalcinoz T., and Tezekici B.S., The effect of the statistical characteristics of input pattern vectors on neural learning: an experimental study, International Turkish Symposium on Artificial Intelligence and Neural Networks TAINN 2000, İzmir, Turkey, 2000 B13) Yalcinoz T., Altun H., and Hasan U. Environmentally constrained economic dispatch via neural networks International Conference on Electrical and Electronics Eng. Eleco 99, pp , Bursa Turkey, 1999 B14) Altun H. and Curtis K.M., Acoustic-to-articulatory neural mapping under different statistical characteristics of articulatory pattern vectors, International Conference on Phonetic Science, ICPhS'99, , California, 1999

7 B15) Altun H. and Curtis K.M., The accurate estimation of articulatory synthesiser parameters through reducing the degree of saturation in a neural network hidden layer, International Conference on Phonetic Science, ICPhS'99, , California, 1999 B16) Altun H. and Curtis K.M., Exploiting the statistical characteristic of the speech signals for improved neural learning in MLP neural networks, IEEE Workshop on Neural Networks for Signal Processing, NNSP98, pp , Cambridge, UK, 1998 B17) Altun H. and Curtis K.M., Improving the estimation of the articulatory parameters for an articulatory synthesizer using a MLP neural network with vector scaling procedure, The Fourth IEEE International Conference on Electronics, Circuits, and Systems, ICECS'97, Vol 1, pp , Cairo, 1997 B18) Altun H. and Curtis K.M., An improved neural network learning, The fourth IEEE International Conference on Electronics, Circuits, and Systems, ICECS'97, Vol 1, pp , Cairo, 1997 B19) Altun H. and Curtis K.M., Estimation of articulatory synthesiser parameters from pseudo-formants, Proceedings of the Third IEEE International Conference on Electronics, Circuits and Systems, ICECS'96, Vol 2, , Greece, 1996 C) Selected Papers in National Conference Proceedings (in Turkish) C1) Karakaya F, Altun H., Çavuşoğlu MA, Implementation of HOG Algorithm for Real Time Object Recognition Applications on FPGA based Embedded System, IEEE SİU 2009 IEEE 17. Sinyal İşleme ve İletişim Uygulamaları Kurultayı, Nisan 2009, Antalya C2) Çavuşoğlu MA, Karakaya F, Altun H., Hardware Implementation of License Plate Detection using MLP Artificial Neural Network on FPGA, ASYU 2008, HAZİRAN 2008, ISPARTA C3) Altun H, Polat G., On the comparison of classifiers performance in emotion classification: Critiques and Suggestions, IEEE 16. Sinyal İşleme ve İletişim Uygulamaları Kurultayı, SİU 2008, Didim, Aydın 2008 C4) Peker M., Altun H ve Karakaya F, The Effect of Genetic Algorithm Parameters on the Solution of Plate Location Detection, IEEE 16. Sinyal İşleme ve İletişim Uygulamaları Kurultayı, SİU 2008, Didim, Aydın 2008 C5) Polat G ve Altun H, Evalutation of performance of KNN, MLP and RBF classifiers in emotion detection problem, IEEE 15. Sinyal İşleme ve İletişim Uygulamaları Kurultayı, SİU 2007, Eskişehir 2007 C6) Polat G ve Altun H, Determining efficiency of speech feature groups in emotion detection, IEEE 15. Sinyal İşleme ve İletişim Uygulamaları Kurultayı, SİU 2007, Eskişehir 2007

8 C7) Polat G ve Altun H, Use of speech feature vectors in classification of affective states, Eleco'2006 Elektrik-Elektronik-Bilgisayar Mühendisliği Sempozyumu, Elektrik- Bilgisayar, 30-34, Bursa, Aralık C8) Bul E, Gelen Gökhan ve Altun H, Classification of agricultural products based on image processing, Elektrik-Elektronik-Bilgisayar Mühendisliği 11. Ulusal Kongresi, İstanbul 2005 D) Technical Reports D1) Final Report on A comprasion of neural networks, Genetic Algorithm and Tabu Search Algorithm for Solving Economic Dispatch Problem, Research Fund of University of Nigde, F2001/04, 2003 D2) The 1 st Progress Report on Determination and Fusion of Bimodal Biometric Parameters From Speech Signal and Face Image to Improve Human-Computer Interaction, The Scientific and Technological Research Council of Turkey (TUBITAK) Research Project, March 2006 D3) The 2 nd Progress Report on Determination and Fusion of Bimodal Biometric Parameters From Speech Signal and Face Image to Improve Human-Computer Interaction, The Scientific and Technological Research Council of Turkey (TUBITAK) Research Project, September 2006 D4) The Final Report on Determination and Fusion of Bimodal Biometric Parameters From Speech Signal and Face Image to Improve Human-Computer Interaction, The Scientific and Technological Research Council of Turkey (TUBITAK) Research Project, September 2007

9 References Prof. Dr. John Shawe Taylor Professor of Computational Statistics and Machine Learning Director, Centre for Computational Statistics and Machine Learning (CSML) Department of Computer Science University College London Gower Street London WC1E 6BT United Kingdom Office: 8.14 Tel: +44 (0) (Direct Dial) Internal: Fax: +44 (0) J.Shawe-Taylor (at) cs.ucl.ac.uk Prof. Dr. Sadık Kara Fatih University Department: Electrics- Electronics Engineering Department Office: EA-104B Phone: ext Fax: Website: Prof. Dr. Derviş Karaboğa Erciyes University Department of Computer Science Phone: Homepage: