Iulian NĂSTAC

Summary
- Over eight years of experience in neural networks algorithms
- Experienced in the process and techniques of data analysis, including classifications, forecasting, and optimizations
- Experienced in designing and developing software applications for decision support

Education
Post-doc in Data Mining, Abo Akademi University, Finland
Ph.D. and M.S. in Electrical Engineering, Polytechnic University of Bucharest, Romania

Positions Held
2002 (September) to 2004 (August):
PhD Researcher (Postdoc), IAMSR/Turku Centre for Computer Science, Data Mining and Knowledge Management Laboratory, Åbo Akademi University, Finland

2008 to present:
Associate Professor, Polytechnic University of Bucharest, Romania

2004 to 2008:
Lecturer (Senior Assist. Prof.), Polytechnic University of Bucharest, Romania

2002 (September) to 2004 (August): PhD Researcher (Postdoc), IAMSR/Turku Centre for Computer Science, Data Mining and Knowledge Management Laboratory, Åbo Akademi University, Finland

2001 to 2002:
Lecturer (Senior Assist. Prof.), Polytechnic University of Bucharest, Romania

1996 to 2001:
Assistant Professor, Polytechnic University of Bucharest, Romania

1994 to 1996:
Preparatory Professor, Polytechnic University of Bucharest, Romania
Design – engineer, Railway Signalling & Automation Enterprise, Design Department, Bucharest
- “Graphical Matrix Display” – software & hardware design
- “Plasma Display Device Interface” – hardware design & implementation

1993:
Co-operator – engineer, Aviation Research Institute, Board Devices Department, Bucharest
“Board – Computer Detector of Dangerous Situation for IAR 99 Flights” – hardware design

Professional Training
November to February 2001: University of Erlangen-Nuremberg, Germany
- Neural networks applications in medicine

July to August 1999: University of Paisley, Scotland
- Principal Component Analysis

June to July 1998: Institute Nationale Politechnique de Grenoble, France
- Artificial intelligence and reliability

April to July 1997: Institute Nationale Politechnique de Grenoble, France
- Neural networks

Core Competence
Artificial Intelligence – Neural Networks
- computer programming and algorithms, data forecasting, pattern recognition, function identification and optimisations

Professional Activities

Teaching Activities:
- Course of Intelligent Systems in Business (at Abo Akademi, Finland)
- Course and laboratory of Matlab Programming (at Abo Akademi, Finland)
- Course and laboratory of Programming Languages (at Polytechnic University of Bucharest – PUB)
- Course and laboratory of Data Structures and Algorithms (at PUB)
- Course and laboratory of Advanced Programming Techniques (at PUB)
- Laboratory of Computer Architecture (at PUB)

Academic supervision
- supervisor of over 30 students and master students during 1995 – 2002 and 2004 – 2010 at the Polytechnic University of Bucharest, Romania
- supervisor of 4 French Students from the University of Angers during theirs stages (2008 and 2009) at the Polytechnic University of Bucharest, Romania
- co-supervisor of two PhD students (Data Mining and Predictive Tools) during 2002-2004 at IAMSR / TUCS, Åbo Akademi, Finland

Scientific/Research Activities (selected):

A. Experience of team leadership and project management:

- 2011-2013 POSDRU Project of the Romanian Academy (No. POSDRU/89/1.5/S/59758). Responsible for theme: “Intelligent processing for adaptive forecasting of multidisciplinary data”
- 2008-2010 – Involved in FP7 (Theme 4) CP-FP (Collaborative Focused Research Project) No. 214538  BISNES (Bio-Inspired Self-assembled Nano-Enabled Surfaces) in the framework of Romanian team coordinated by Prof. Paul Cristea at UPB.
- 2007 – 2010 – Designer for a data classification tool on the Research Project called “Fault Tolerant Resilient Socio-Technical Systems” lead by Prof. Angelica Bacivarov, Polytechnic University of Bucharest.
- 2007 – Involved in CNCSIS Research Project No. 293/2007 Bioengineering Study of H5N1 Variability, lead by Prof. Paul Cristea at UPB.
- 2005 – 2006 – Software algorithms team coordinator for an exchange rate forecasting tool in the section of CERES Research Programme (Exchange Rate and Competitiveness), lead by Prof. Emilian Dobrescu, Institute of Economic Forecasting (IEF), Romanian Academy.
- 2005 – Designer of an Artificial Intelligence-based tool for DNA sequences analysis funded by the CNCSIS (the Romanian National University Research Council) Grant No. 1448/2004 (Phase and vectorial analysis of genomic signals), lead by Prof. Paul Cristea at UPB.
- 2004 – Software design manager within the framework of the Breast Cancer Prediction Using Artificial Intelligence (BCPAI) project coordinated by Prof. Yrjö Collan, University of Turku, Finland.
- 2003 – Leader of the project team for the EUNITE Competition 2003 (European Network of Excellence on Intelligent Technologies for Smart Adaptive System) at IAMSR, Turku, Finland.
- 2002 – Software programming manager within the framework of the Imaging in Back-Scattered Light using Artificial Intelligence (IBLAI) project coordinated by Prof. Dr. Manfred Kessler, Inst. of Physiology and Cardiology, Univ. Erlangen-Nuremberg, Germany.
- 2000 – Project leader of the Research Project No. T 5076-B84 (Grant of Romanian National Agency for Science and Technology) with the title Reliability Modelling of Artificial Intelligence Systems.
- 1999 – Project leader of the Research Project No. T 5076-A70 (Grant of Romanian National Agency for Science and Technology) with the title Development of Training Algorithms for Artificial Intelligence Models.

B. Involved as participant in several European projects such as:

2008-2011 – FP7 (Theme 4) CP-FP (Collaborative Focused Research Project) No. 214538  BISNES (Bio-Inspired Self-assembled Nano-Enabled Surfaces) in the framework of the Romanian team coordinated by Prof. Paul Cristea, Polytechnic University of Bucharest. The project includes seven research institutions and universities from Europe.

2001-2002 – Socrates No. 87574-CP-1-2000-1-RO-MINERVA-ODL (which joined Universities from 6 European countries) with the topic Artificial Intelligence and Neural Network Tools for Innovative Open Distance Learning, coordinated by Prof. Dr. Paul Cristea, Polytechnic University of Bucharest, Romania.

1996-1999 – TEMPUS S_JEP-11300 “EUROQUALROM” (which joined Universities from 7 European countries) coordinated by Prof. Dr. Ioan Bacivarov, Polytechnic University of Bucharest, Romania

C. Involved as a team member in other 9 (national) research projects

Visiting Professor/ Res.

- 18 – 22 November 2013: Invited Professor for presenting the short course “Data Forecasting with Artificial Intelligence” at the Åbo Akademi University, Finland.
- 1 July – 31 August 2011: Invited Researcher at the Oxford Centre for Theoretical Neuroscience and Artificial Intelligence (within the Oxford University Department of Experimental Psychology), University of Oxford, UK
- December 2011: Invited Researcher at the University of Turku, Finland
- February 2011 (also on October-November 2007 and March-April 2005): Guest lecturer in the Seminar of Macroeconomic Modeling, Institute of Economic Forecasting, Romanian Academy.
- September 2010: Invited Professor at the Mälardalen University (MDH), Sweden, Lecture on Artificial Intelligence.
- August 2010: Invited Professor at the Institute for Advanced Management Systems Research (IAMSR), Åbo Akademi University, Finland, during the Doctoral Consortium (August, 23-24 2010) with the topic Risk assessment in financial planning, real option valuation and multiple criteria decision-making (MCDM), Lecture on Neural Networks and Optimization.
- May 2010: Invited Specialist at the Mount Sinai School of Medicine and the Renal Research Institute, New York, Lectures concerning Artificial Neural Networks Applications in Medicine.
- June 2009 (also on June 2006): Invited Professor at the University of Angers (ISTIA), Lectures on data forecasting for non-stationary time series and data mining, France.
- November 2004; September-December 2003 and September-October 2002: Guest lecturer in the course of Intelligent System in Business, Institute for Advanced Management System Research, Åbo Akademi University, Finland.
- March – April 2004 and March – April 2003: Guest lecturer in the course of Matlab Programming, Turku Centre for Computer Science, Finland.

Awards
Winner (third prize) of the International Competition on Artificial Intelligence EUNITE 2003 – European Network of Excellence on Intelligent Technologies for Smart Adaptive System -
The topic of the competition: Prediction of product quality in glass manufacturing process
(the best solution in conformity with the variance of output errors)

Other
- Member of IEEE

  • Computational Intelligence Society, 2004-present
  • Neural Networks Society, 2002-2004
  • Circuits and Systems Society, 1999-2002

- Assessor for Romanian Quality Award “J. M. Juran”, 2001

Selected Publications

2013
- Nastac, D.I., and Ulmeanu A.P.: “An advanced model for electric load forecasting”, 2013 IEEE Workshop on Integration of Stochastic Energy in Power Systems (ISEPS), Bucharest, 7 November 2013 (Digital Object Identifier: 10.1109/ISEPS.2013.6707942, IEEE Catalog Number: CFP1310W-ART, ISBN: 978-1-4799-1511-8).
- Nastac, D.I.,  Ulmeanu A.P., Tuduce R., and Cristea P.D.: “A joint of adaptive predictors for electric load forecasting”, in Proceedings of IWSSIP 2013, Bucharest, Romania, July 7-9, 2013, pp. 51-54 (ISBN 978-1-4799-0941-4 and IEEE Catalog No. CFP1355E-PRT).
- Nastac, D.I., “Intelligent processing of multidisciplinary information for adaptive predictions in the context of globalization” (in Romanian: “Prelucrarea inteligentă a informațiilor multidisciplinare pentru prognoze adaptive în contextual globalizării”), Editura Muzeul Naţional al Literaturii Române, Bucureşti, 2013  (ISBN 978-973-167-190-1).
- Nastac, D.I.,  Pavaloiu I.B., Tuduce R., and Cristea P.D.: “Adaptive retraining algorithm with shaken initialization”, Revue roumaine des sciences techniques – Série Électrotechnique et Énergétique, Vol. 58, Nr.1, 2013, pp. 101-111 (ISSN 0035-4066).
- Pavaloiu I.B., Nastac D.I., and Cristea P.D.: “Phase Based Neuron as a Biologically Plausible Neuron Model”, Revue roumaine des sciences techniques – Série Électrotechnique et Énergétique, Vol. 58, Nr. 2, 2013 (ISSN 0035-4066).

2012
- Nastac, D. I., and Cristea, P.D.: “A modified adaptive retraining procedure for data forecasting”, in Proceedings of NEUREL 2012, Belgrade, Serbia, 20-22 September 2012. (ISBN 978-1-4673-1571-5 and IEEE Catalog No. CFP12481-CDR).
- Cristea P.D., Tuduce R. and Nastac D .I., “An Artificial Neural Network method to forecast the electrical load”, in Proceedings of WESC 2012 – 9th World Energy Systems Conference, Suceava, Romania, June 28-30, 2012, AGIR Bulletin, No. 2, 2012, pp. 1-8. Available: http://www.buletinulagir.agir.ro/ ISSN-L 1224-7928 (Online: ISSN 2247-3548).
- Sandu O., Nastac I., and Uribarri J.:”NEURAL MODEL OF CARDIOVASCULAR RISK IN RENAL DISEASE, TROUGH FIVE YEARS, OUTLINES CAROTID ARTERY MARKERS OVER TRADITIONAL RISK FACTORS”, at the 80th European Atherosclerosis Society Meeting, Milan, Italy, May 26-29, 2012.
- Sandu O., Uribarri J. and Nastac I.,:” The neural predictive performance model of cardiovascular risk factors in patients with renal disease, over five years, outlines carotid artery markers over traditional risk factors”, at the American Society of Hypertension, 27th Annual Scientific Meeting, New York, New York May 19 – 22, 2012 – Journal of Clinical Hypertension 2012; Volume 14, Issue Supplement s1: 186. Available:http://onlinelibrary.wiley.com/doi/10.1111/jch.2012.14.issue-s1/issuetoc, http://www.ashabstracts.com/abstract.asp?MeetingID=786&id=99010
- Nastac, D. I., and Cristea, P.D.: “An ANN – PCA Adaptive Forecasting Model”, in Proceedings of IWSSIP 2012, Vienna, Austria, 11-13 April 2012, pp. 532-535 (ISBN 978-3-200-02588-2 and IEEE Catalog No. CFP1255E-CDR).

2011
- Nastac I.: “Intelligent adaptive model for reliable financial predictions”, chapter in “Non-Linear Modeling in Economics – Beyond Standard Economics”, L. Albu Ed., Expert Publ., Bucharest, pp. 166–177 (ISBN 978-973-618-260-0)
- Nastac, D. I., and Cristea, P.D.: “Specific aspects on the prediction of DNA sequences”, in Proceedings of GSP 2011 – 2nd International Workshop on Genomic Signal Processing, Bucharest, Romania, 27-28 June 2011, Paul Dan Cristea, Ed., pp. 103-108 (ISSN: 2247-6121)
- Nastac, D. I., Tanase, N. and Cristea, P.D.: “Smart predictive model for air pollutants”, in Proceedings of GSP 2011 – 2nd International Workshop on Genomic Signal Processing, Bucharest, Romania, 27-28 June 2011, Paul Dan Cristea, Ed., pp. 131-134 (ISSN: 2247-6121)
- Sandu O., Nastac, I., and Uribarri J.: “THE INCREMENTAL NEURAL PREDICTIVE VALUE OF CAROTID ARTERY FEATURES OVER TRADITIONAL RISK FACTORS AND ENDOTELIAL FUNCTION MARKERS”, Evolving Challenges in Promoting Cardiovascular Health Conference (Presented by the New York Academy of Sciences, “la Caixa” Foundation, and the International Center for Scientific Debate – ICSD), November 4 – 5, 2011/ Spain, CosmoCaixa, Barcelona.

2010
- Nastac, I.: “An adaptive forecasting intelligent model for nonstationary time series”, Journal of Applied Operational Research, Vol. 2, 2010, No. 2, pp. 117–129 (ISSN 1735-8523)
- Sandu, O., Nastac, I., and Uribarri, J.: “Incremental Predictive Value of Noninvasive Vascular Assessments Over Traditional Risk Factors in Patients with Hypertension, Diabetes and Renal Disease”, American Society of Hypertension, 2010 Annual Scientific Meeting (ASH 2010), 25th Anniversary, 1986–2010, Hilton, New York, May, 1-4, 2010
- Nastac, I., and Tuduce, R.: “An Adaptive Intelligent Model for Nucleotide Sequence Forecasting”, Proceedings of the 4th International Symposium on Communications, Control & Signal Processing (ISCCSP 2010), Special Session, SS 3-4, March 3-5, 2010, Limassol, Cyprus, 2010 IEEE Catalog Number: CFP10824-CDR. (ISBN: 978-1-4244-6286-5)
- Nastac, I.: “A flexible forecasting intelligent model for non stationary time series”, Proceedings of the 2nd International Conference on Applied Operational Research (ICAOR’10), 25-27 August 2010, Lecture Notes in Management Science, vol 2, 2010, pp. 78-89 (ISSN 2008-0050)

2009
- Nastac, I., Bacivarov, A. and Costea, A.: “A Neuro-Classification Model for Socio-Technical Systems”, Romanian Journal of Economic Forecasting, Vol. XI, No. 3/ 2009, pp. 100-109. (ISSN 1582-6163)
- Arsene, O., Cristea, P., Tuduce, R., Dinca, A., Nastac, I., Nicolau, D., and Fulga, F.: “Software for the local description of molecular surfaces by using advanced Java technologies”, The 6-TH INTERNATIONAL CONFERENCE ON THEORY AND APPLICATIONS IN MATHEMATICS AND INFORMATICS (ICTAMI 2009), Alba Iulia, Romania, September, 3-6, 2009
- Sandu, O., Nastac, I., Radbill, B., Shapiro, R., Windston, J. and Uribarri, J.: “In patients with renal disease, structural carotid artery features greatly enhance prediction of cardiovascular outcome and are linked with endothelial dysfunction irreversibility”, 11th International Conference on Dialysis, Advances in CKD, Las Vegas, USA, January 2009

2008
- Cristea, P., Tuduce, R., Nastac, I., Cornelis, J., Deklerk, R. and Andrei, M.: “Signal Representation and Processing of Nucleotide Sequences”, International Journal of Functional Informatics and Personalised Medicine (IJFIPM), Vol. 1, No. 3, 2008, pp. 253-268. INDERSCIENCE Publishers (ISSN-Online: 1756-2112, or ISSN-Print: 1756-2104)
- Nastac, D.I., “Data Structures and Algorithms. Applications” (in Romanian: Structuri de date si algoritmi – Aplicatii), Printech Publishing House, Bucharest, 2008 (ISBN 978-973-718-989-9)

2007
- Nastac, I., Dobrescu, E. and Pelinescu, E.: “Neuro-Adaptive Model for Financial Forecasting”, Romanian Journal of Economic Forecasting, No. 3/ 2007, (ISSN 1222-5436)
- Nastac, I. and Costea A.: “A retraining procedure application for data prediction”, UPB Scientific Bulletin, Series C: Electrical Engineering, vol. 69, No. 2, 2007, pp. 15-25. (ISSN 1454-234x)
- Nastac, I., Dobrescu, E. and Pelinescu, E.: “Adaptive forecasting method for nonstationary time series”, The 27th International Symposium on Forecasting (ISF 2007), New York, pp. 42
- Cristea, P., Tuduce, R., Nastac, I., Cornelis, J., Deklerk, R., and Andrei, M.: “Signal Representation and Processing of Nucleotide Sequences”, Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering (IEEE BIBE 2007), Boston, USA, October 2007, pp. 1214-1220. (ISBN 1-4244-1509-8 and IEEE Catalog No. 07EX1893)
- Cristea, P., Deklerk, R., Cornelis, J., Tuduce, R., Nastac, I. and Andrei, M.: “ANN Prediction of Nucleotide Sequences Link of Principal Component Analysis to Fourier Transform”, Proceedings of the International Workshop on Systems, Signals and Image Processing (IWSSIP 2007), Maribor, Slovenia, June 2007, pp. 73-78. (ISBN 978-961-248-029-5 and IEEE Catalog No. 07EX1858C)
- Nastac, I. and Cristea, P.: “ANN Flexible Forecasting for the Adaptive Monitoring of a Multi-Tube Reactor”, Proceedings of the International Workshop on Systems, Signals and Image Processing (IWSSIP 2007), Maribor, Slovenia, June 2007, pp. 205-208. (ISBN 978-961-248-029-5 and IEEE Catalog No. 07EX1858C)
- Tugui C., Teodorescu T., Crivat A., and Nastac, I.: “Digital Electrocardiograph”, Proceedings of the International Symposium for Design and Technology of Electronic Packages (SIITME 2007), Baia Mare, Romania

2006
- Nastac, I., and R. Matei: “Scaling factor effect on neural networks retraining procedure”, UPB Scientific Bulletin, Series C: Electrical Engineering, vol. 68, No. 2, 2006, pp. 3-14. (ISSN 1454-234x)
- Costea A., and Nastac, I.: “Assessing the Predictive Performance of ANN Classifiers Based on Different Data Preprocessing Methods”, Internat. Journal of Intelligent Sys. Acc. Fin. Mgmt. vol. 13, issue 4 (2006), pp. 217-250, DOI: 10.1002/isaf. 269, Wiley InterScience (ISSN 1099-1174)
- Dobrescu, E., Nastac, D.I., and Pelinescu, E.: “An adaptive retraining method for exchange rate forecasting”, Romanian Journal of Economic Forecasting, No. 1/ 2006, pp. 5-21. (ISSN 1222-5436)
- Nastac, D.I.: “Fundamentals of C Programming” (in Romanian: Programarea calculatoarelor in limbajul C – Elemente fundamentale), Printech Publishing House, Bucharest, 2006 (ISBN 973-718-464-5)
- Tiplica, T., Verron, V., Kobi, A., and Nastac, I.: “FDI in Multivariate Process with Naive Bayesian Network in the Space of Discriminant Factors”, Proceedings of International Conference on Computational Intelligence for Modelling, Control and Automation – CIMCA 2006, Sydney, Australia

2005
- Dobrescu, E., Nastac, D.I., and Pelinescu, E.: “Exchange rate forecasting using an adaptive neural technique”, EC2 Conference 2005: Econometrics of Financial and Insurance Risks, Istanbul, December 2005. (also available on http://www.riskturk.com/ec2/)
- Nastac, D.I., and Cristea, P.: “Neuro-Adaptive Forecasting for Nonstationary Sequences”, Proceedings of IEEE-SOFA 2005, Szeged, August 2005, pp. 179-186. (ISBN 963-219-001-7)
- Nastac, D.I., and Cristea, P.: “DNA Sequences Forecasting using an Adaptive Retraining Procedure”, Proceedings of International Workshop on Genomic Signal Processing (GSP 2005), Bucharest, July 2005
- Nastac, D.I.: “A Neural Network Adaptive Algorithm for Economic Forecasting”, Proceedings of the 7-th International Conference on Informatics, Bucharest, May 2005, pp. 612-616. (ISBN 973-8360-014-8)
- Costea A., and Nastac, I.: “Three factors affecting the predictive performance of ANNs: pre-processing method, data distribution and training mechanism”, TUCS Technical Report, No. 679, April 2005, Turku, Finland. (ISBN: 952-12-1530-5) (also available on http://www.tucs.fi/research/series/serie.php?type=techreport&year=2005).

2004
- Nastac, D.I., and Costea, A.: “A Retraining Neural Network Technique for Glass Manufacturing Data Forecasting”, Proceedings of IJCNN 2004, Vol. 4, IEEE Print, Budapest, July 2004, pp. 2753-2758. (ISBN 0-7803-8359-1 and IEEE Catalog No. 04CH37541)
- Nastac, D.I., and Costea, A.: “A Neural Network Retraining Approach for Process Output Prediction”, Proceedings of SCI 2004, Orlando, Florida, July 2004, pp. 388-393 (ISBN: 980-6560-13-2).
- Nastac, D.I., Collan F.Y., Back B., Collan M., Kuopio T. and Jalva P.: “Breast cancer prediction using a neural network model”, Proceedings of World Automation Congress (WAC) 2004, Seville, June 2004. (ISBN 1-889335-20-7 and IEEE Catalog No. 04EX832C)
- Nastac, D.I.: “Adaptive Forecasting with Retrained Neural Networks”, Proceedings of EUNITE 2004, Aachen, Germany, June 2004, pp. 458-466. (ISBN 3-86130-368-X) (also available on www.eunite.org/eunite/ Eunite Competition – Prediction of Product Quality in Glass manufacturing Process , Summary of the Results and Collection of Reports, pp. 55-63).
- Nastac, D.I.: “An Adaptive Retraining Technique to Predict the Critical Process Variables”, TUCS Technical Report, No. 616, June 2004, Turku, Finland. (ISBN: 952-12-1379-5) (also available on www.tucs.fi/research/series/serie.php?type=techreport&year=2004)
- Nastac, D.I., Collan F.Y., Back B., Collan M., Kuopio T. and Jalva P.: “A Neural Network Model for Estrogen Receptor Status Prediction”, TUCS Technical Report, No. 610, April 2004, Turku, Finland. (ISBN: 952-12-1351-5) (also available on www.tucs.fi/research/series/serie.php?type=techreport&year=2004)

2003
- Nastac, D.I., and Matei, R.: “A Retraining Improvement of Feedforward Neural Networks”, TUCS Technical Report 504, Turku Centre for Computer Science, February 2003.
- Nastac, D.I., and Koskivaara, E.: “A Neural Network Model for Prediction: Architecture and Training Analysis”, TUCS Technical Report 521, Turku Centre for Computer Science, April 2003.
- Nastac, D.I., and Matei, R.: “An efficient procedure for artificial neural networks retraining”, Proceedings of ICEIS 2003, Angers, France, April 2003.
- Nastac, D.I., and Koskivaara, E.: “Financial Forecasting Using Neural Networks Model”, Proceedings of the 6-th ICEI, Bucharest, Romania, May 2003.
- Nastac, D.I., and Costea, A.: “Advanced Data Forecasting Using Retraining Neural Network Technique”, TUCS Technical Report, No. 542, June 2003, Turku, Finland
- Nastac, D.I., and Matei, R.: “Fast retraining of artificial neural networks”, Proceedings of RSFDGrC’2003, Chongqing, China, October 2003.

2002
- Nastac, D.I., Matei, R., Cristea, P., and Kessler, M.: “Imaging and learning in back-scattered light by artificial neural networks”, Photonics West, Proceedings of SPIE vol. 4623, San Jose California, January 2002, pp. 124-133.
- Kessler, M., Cristea, P., Nastac, D.I., and Albert-Hehn, B.: “EMPHO – Oxyscan Spectrometer for 2D- and 3D-Imaging in VIS and NIR”, Photonics West, Proceedings of SPIE vol. 4623, San Jose California, January 2002, pp. 110-115.
- Nastac, D.I., and Nastac, D.: “Data Processing through Artificial Neural Networks”, Inventions & Economy, No. 2 (62), Bucharest, February 2002.
- Nastac, D.I.: “Artificial Neural Networks – Advanced Data Processing”, Printech Publ. House, Bucharest, Romania, 2002.

2001
- Nastac, D.I.: “A New Way for Neural Networks Training”, Proceedings of the 8th International Workshop on Systems, Signals and Image Processing (IWSSIP 2001), Bucharest, June 2001

2000
- Bacivarov, I., Bacivarov, A., Nastac, D.I.: “Some aspects concerning neural networks reliability evaluation”, Quality Journal, No.1, Bucharest, 2000.
- Nastac, D.I.: “Artificial Intelligence in INTERNET Data Analysing”, Annual National Symposium in Quality and Reliability, Bucharest, November 2000.

1999
- Bacivarov, A., Bacivarov, I., Nastac, D.I.: “Learning and Problem Solving with Connectionist Systems”, UPB Scientific Bulletin, Series C: Electrical Engineering, volume 61, No. 1-2, Bucharest, 1999.
- Nastac, D.I., Wiener, U.: “Neural Networks for Control and System Identification”, UPB Scientific Bulletin, Series C: Electrical Engineering, volume 61, No. 1-2, Bucharest, 1999.
- Nastac, D.I.: “Neural Networks Applications in Computer-aided Circuit Design”, Proceedings of The 5th Symposium for Design and Technology of Electronic Modules (SIITME’99), Bucharest, September 1999.
- Bacivarov, A., Bacivarov, I., Nastac, D.I.: “Reliable Prediction with Neural Networks”, The 7th International Conference on Applied and Industrial Mathematics (CAIM `99), Pitesti, October 1999.
- Nastac, D.I., Wiener, U.: “Control and System Identification with Artificial Inteligence Methods”, The 7th International Conference on Applied and Industrial Mathematics (CAIM `99), Pitesti, October 1999.
- Nastac, D.I., Bacivarov, A.: “Fault Tolerance in Connectionist Models”, Annual National Symposium in Quality and Reliability, Bucharest, November 1999.

1998
- Bacivarov, A., Bacivarov, I., Nastac, D.I., Wiener, U.: “Non-conventional Mathematical Method for Modeling Technical Systems and Controllers”, Proceedings of the 6th International Conference on Applied and Industrial Mathematics (CAIM `98), Pitesti, Romania, 1998.

Programarea calculatoarelor în limbajul C - Elemente fundamentale

Programarea calculatoarelor în limbajul C – Elemente fundamentale

Structuri de date şi algoritmi - Aplicaţii

Structuri de date şi algoritmi – Aplicaţii

Reţele neuronale artificiale - Procesarea automată a datelor

Reţele neuronale artificiale – Procesarea automată a datelor

Contact:

Dumitru-Iulian NASTAC, Ph.D.
Room B304, LEU Campus, Building B (1-3, Iuliu Maniu blvd., sect. 6, Bucharest)
Phone: (+4) 021.402.4964
E-mail: nastac@euroqual.pub.ro
Webpage: www.nastac.ro

Actualizat: 28 februarie 2014, 18:42