PhD – Data Scientist
Phone: +39 050 882513
Marco Vannucci obtained a Master Degree in computer science at the University of Pisa in 2001 and a PhD at Scuola Superiore San’Anna in industrial engineering in 2006. He is currently a research assistant at SSSA since 2006.
He has experience in the field of application of Artificial Intelligence techniques for industrial data processing, data mining and intelligent systems for industrial automation. His expertise includes mathematical modelling of complex systems, artificial neural networks and optimization methods.
A significant part of his research regards the steel and manufacturing sectors: he participated to more than 20 projects funded by the EU and is involved in several thirs parties collaborations with Italian and European companies. He is co-author of more than 90 papers published in international journals and conferences as well as book chapters. He is reviewer for several journals in the field of artificial intelligence and industrial automation and has experience as proposal evaluator in RFCS TGS9 Factory-wide and environmental control.
List of Publications
A fuzzy system for combining filter features selection methods Journal Article
in press on International Journal of Fuzzy Systems, 2016.
Process integration analysis and economic-environmental evaluation for an innovative environmentally friendly recovery and pre-treatment of steel scrap. Journal Article
Applied Energy, 161 , pp. 656-672, 2016.
Steel Research International, 86 (3) , pp. 276-287, 2016.
Journal of Intelligent and Fuzzy Systems, 28 , pp. 1805-1818, 2015.
A method for resampling imbalanced datasets in binary classification tasks for real-world problems with manuscript number Journal Article
NEUROCOMPUTING, 135 , pp. 32–41, 2014, ISSN: 0925-2312.
Prediction of Mean Flow Stress during hot strip rolling using Genetic Algorithms Journal Article
ISIJ INTERNATIONAL, 54 , pp. 171–178, 2014, ISSN: 0915-1559.
Comparison of multi-objective optimization techniques applied to off-gas management within an integrated steelwork Journal Article
APPLIED ENERGY, 136 , pp. 1085–1097, 2014, ISSN: 0306-2619.
Process integration in energy and carbon intensive industries: an example of exploitation of optimization techniques and decision support Journal Article
APPLIED THERMAL ENGINEERING, 70 , pp. 1148–1155, 2014, ISSN: 1873-5606.
Artificial Neural Networks Applied for Estimating a Probability Density Function Journal Article
INTELLIGENT DATA ANALYSIS, 19 , pp. 29–41, 2014, ISSN: 1088-467X.
A procedure for the detection of anomalous input-output patterns Journal Article
INTELLIGENT DATA ANALYSIS, 17 , pp. 737–751, 2013, ISSN: 1088-467X.
Reducing the energy consumption and CO2 emissions of energy intensive industries through decision support systems - An example of application to the steel industry Journal Article
APPLIED ENERGY, 112 , pp. 818–833, 2013, ISSN: 0306-2619.
Prediction of Hot-Deformation Resistance during Processing of Microalloyed Steels in Plate Rolling Process Journal Article
INTERNATIONAL JOURNAL, ADVANCED MANUFACTURING TECHNOLOGY, pp. –, 2012, ISSN: 0268-3768.
A neural networks-based model relating properties of the as cast-semi and rolling parameters with rolled product properties for plate rolled pipeline steels Journal Article
REVUE DE MÃ‰TALLURGIE, 109/3 , pp. 157–165, 2012, ISSN: 0035-1563.
Efficient approximation of time consuming models for their use in optimization frameworks Journal Article
INTERNATIONAL JOURNAL OF SIMULATION: SYSTEMS, SCIENCE & TECHNOLOGY, 13 , pp. –, 2012, ISSN: 1473-8031.
A Genetic Algorithm-based approach for selecting input variables and setting relevant network parameters of a SOM-based classifier Journal Article
INTERNATIONAL JOURNAL OF SIMULATION: SYSTEMS, SCIENCE & TECHNOLOGY, 12/2 , pp. –, 2011, ISSN: 1473-8031.
Novel classification methods for sensitive problems and uneven datasets based on neural networks and fuzzy logic Journal Article
APPLIED SOFT COMPUTING, 11 (2011) , pp. 2383–2390, 2011, ISSN: 1568-4946.
Diagnosis of the instability of the cooling behaviour of flat steel products through parametric characterisation, neural networks and statistics Journal Article
ISA TRANSACTIONS, 49/2 , pp. 235–243, 2010, ISSN: 0019-0578.
Neural network based prediction of roughing and finishing times in a hot strip mill Journal Article
REVISTA DE METALURGIA, 46/1 , pp. 15–21, 2010, ISSN: 0034-8570.
A Simplified Approach to the Simulation of Direct Reduction of Iron Ore Journal Article
REVUE DE MÃ‰TALLURGIE, 107/5 , pp. 195–204, 2010, ISSN: 0035-1563.
Detection of rare events within industrial datasets by means of data resampling and specific algorithms Journal Article
INTERNATIONAL JOURNAL OF SIMULATION: SYSTEMS, SCIENCE & TECHNOLOGY, Vol. 11/ No. 3 , pp. 1–11, 2010, ISSN: 1473-8031.
A KPI for local community Impact of the ULCOS technologies Journal Article
REVUE DE MÃ‰TALLURGIE, 2009/9 , pp. 373–381, 2009, ISSN: 0035-1563.
Applicazione di tecniche di intelligenza artificiale nella gestione e nella ottimizzazione dei processi siderurgici Journal Article
AUTOMAZIONE E STRUMENTAZIONE, LVII/Nov. 2009 , pp. 84–90, 2009, ISSN: 0005-1284.
Air dispersion modelling for the assessment of ULCOS technologies Journal Article
REVUE DE MÃ‰TALLURGIE, 2009/9 , pp. 357–362, 2009, ISSN: 0035-1563.
Un sistema di inferenza fuzzy applicato al controllo di qualitÃ nellâ€™industria della carta Journal Article
AUTOMAZIONE E STRUMENTAZIONE, LVI/2 , pp. 88–94, 2008, ISSN: 0005-1284.
A neural-network based system for the prediction of Jominy profiles of Boron steels Journal Article
STEEL GRIPS, 4/3 , pp. 193–197, 2006, ISSN: 1611-4442.
Use of artificial neural networks for train speed estimation Journal Article
ATTI DELLA FONDAZIONE GIORGIO RONCHI, 59/1-2 , pp. 117–122, 2004, ISSN: 0391-2051.
Neural predictor of the end point in a converter Journal Article
REVISTA DE METALURGIA, 40/6 , pp. 416–419, 2004, ISSN: 0034-8570.
Fuzzy Adaptive Genetic Algorithm for Improving the Solution of Industrial Optimization Problems Conference
Proc. of the 8th IFAC Conference on Manufacturing, Modelling, Management and Control MIM 2016, Troyes (France), 2016.
Smart under-sampling for the detection of rare patterns in unbalanced datasets Conference
8h International KES Conference on Intelligent Decision Technologies KES-IDT-16 , Tenerife (Spain), 2016.
Advanced Neural Networks Systems for Unbalanced Industrial Datasets Conference
Vietri Sul Mare (Italy), 2016.
Proc. of the UKSim AMSS 8th European Modelling Symposium on Mathematical Modelling and Computer Simulation, pp. 39–44, Conference Publishing Services (CPS) IEEE Computer, Pisa (Italy), 2014.
A Procedure for Building Reduced reliable Training Datasets from Real-World Data Inproceedings
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, AIA 2014, pp. 393–399, IASTED, Innsbruck (Austria), 2014.
Industrial Multiple Criteria Decision Making problems handled by means of fuzzy inference-based decision support systems Inproceedings
-, pp. 12–17, IEEE Computer Society, Bangkok, 2013.
A Software Tool for Comparing the Economic Value of Different Scrap Mixes in Steel Production Inproceedings
-, pp. 315–320, IEEE Computer Society, Bangkok, 2013.
-, pp. 169–174, IASTED, Innsbruck, 2013.
Genetic Algorithms Applied to Discrete Distribution Fitting Inproceedings
Proc. of the UKSim AMSS 7th European Modelling Symposium on Mathematical Modelling and Computer Simulation, pp. –, IEEE Computer Society, Manchester (UK), 2013.
Improving the estimation of mean flow stress within hot rolling of steel by means of different artificial intelligence techniques Inproceedings
-, pp. 945–950, IFAC Secretariat, Saint Petersburg (Russian Federation), 2013.
Advances in Computational Intelligence, pp. 78–87, Springer Verlag, Catania, 2012.
A model for simulation of an integrated steelmaking plant focused on energy consumptions and CO2 emissions Inproceedings
-, pp. –, Swerea MEFOS AB, Lulea, 2012.
Development of a decision support tool for optimized management of an integrated steelmaking plant focused on Energy consumption and CO2 emissions reduction Inproceedings
-, pp. –, CICCST China International Conference Center for S, Suzhou (RPC), 2012.
Optimisation of complex time consuming models of steel plants by means of AI techniques Inproceedings
-, pp. –, International Federation of Automatic Control (IFA, Gifu (Japan), 2012.
An ensemble classification method based on input clustering and classifiers expected reliability Inproceedings
-, pp. 3–8, IEEE Computer Society, Malta, 2012.
Dynamic resampling method for classification of sensitive problems and uneven datasets Inproceedings
Advances in Computational Intelligence Part II, pp. 78–87, Springer, Catania, 2012.
Surface defects classification in steel products: a comparison between different Artificial Intelligence-based approaches Inproceedings
Proceedings of the 11th IASTED Internaional Conference on Artificial Intelligence and Applications, pp. 129–134, IASTED, Innsbruck, 2011.
Novel resampling method for the classification of imbalanced datasets for industrial and other real-world problems Inproceedings
-, pp. –, Research Publishing Services, Cordoba, 2011.
Estimate of a Probability Density Function Through Neural Networks Inproceedings
Advances in Computational Intelligence, pp. 57–64, Springer, Torremolinos, 2011.
Detection of transients in steel casting through standard and AI-based techniques Inproceedings
Advances in Computational Intelligence, pp. 256–264, Springer, Torremolinos, 2011.
A Fuzzy Inference System Applied to Defect Detection in Flat Steel Production Inproceedings
pp. 148–153, IEEE Computer Society Conference Publishing Servic, Barcellona, 2010.
A Genetic Algorithms-based approach for selecting the most relevant input variables in classification tasks Inproceedings
2010 Fourth UKSim European Symposium on Computer Modelling and Simulation, pp. 63–67, IEEE Computer Society, Pisa, 2010.
Variable selection through Genetic algorithms for classification purposes Inproceedings
Proc. of the International Conference on Artificial Intelligence and Applications AIA 2010, pp. –, IASTED, Innsbruck, 2010.
A multimedia interactive 3D virtual environment for emergency simulation, teaching and practice of safety procedures Inproceedings
Proceedings of the the 7th EUROSIM Congress on Modelling and Simulation EUROSIM 2010, pp. –, Czech Technical University Publishing Company, Praga, 2010.
Proc. of the 9th International Conference on Intelligent Systems Design and Applications ISDAâ€™09, pp. 1278–1283, IEEE Computer Society Conference Publishing Serv, Pisa, Italia, 2009.
A Fuzzy System for Combining Different Outliers Detection Methods Inproceedings
-, pp. –, IASTED, Innsbruck, Austria, 2009.
Self-Estimation of Data and Approximation Reliability Through Neural Networks Inproceedings
Bio-Inspired Systems: Computational and Ambient Intelligence, pp. 89–96, Springer, Salamanca, Spagna, 2009.
Equation-Based Modelling: True Large Strain, Large Displacement and Anand's Plasticity Model with The ComSol Deformed Mesh Module Inproceedings
Proc. of the European COMSOL Conference 2009, pp. –, COMSOL Inc., Milano, Italia, 2009.
VESPRO: a virtual environment for practicing safety procedures Inproceedings
1st International Conference on Information Society and Information Technologies Proceedings, pp. 136–141, Faculty of information studies electronic publis, Novo Mesto, Slovenia, 2009.
Three little pigs discovering materials. A software for the sensitization of primary school students to environmental themes Inproceedings
-, pp. 267–272, Institute for Systems and Technologies of Informat, Lisbona, Portogallo, 2009.
Data resampling techniques and specific algorithms applied to a critical industrial classification problem Inproceedings
Proc. of the European Symposium on Computer Modeling and Simulation 2009 EMS'09, pp. 257–262, IEEE Computer Society, Atene, 2009.
Thresholded neural networks for sensitive industrial classification tasks Inproceedings
Bio-Inspired Systems: Computational and Ambient Intelligence, pp. 1320–1327, Springer, Salamanca, Spagna, 2009.
Model parameters optimisation for an industrial application: a comparison between traditional approaches and genetic algorithms Inproceedings
Proceedings if the European Symposium on Computer Modelling and Simulation, pp. 34–39, IEEE Computer Society, Liverpool, United Kingdom, 2008.
Quantitative sustainability assessment through Key Performance Indicators in ULCOS project Inproceedings
International Seminar on Society, pp. –, ArcelorMittal, Nantes, 2008.
Predizione dei profili di durezza jominy di acciai microlegati al boro tramite reti neurali Inproceedings
Trentaduesimo Convegno nazionale AIM, pp. –, Associazione Italiana di Metallurgia, Ferrara, Italia, 2008.
A Fuzzy Logic--based method for outliers detection Inproceedings
Proceedings of the 7th IASTED International Conference on Artificial Intelligence and Applications, pp. –, IASTED, Innsbruck, Austria, 2007.
A Mathematical Model for the Prediction of the Mechanical Properties of Al-Killed and Interstitial-Free Steels Inproceedings
Proceedings of the 5th IMACS Symposium on Mathematical Modelling MATHMOD 2006, pp. –, ARGESIM-Verlag, Vienna, Austria, 2006.
Ca-treatment of Al-Killed steels: inclusion modification and application of Artificial Neural Networks for the prediction of clogging Inproceedings
-, pp. 387–394, Verlag Stahleisen GmbH, Aachen, Germania, 2006.
A Novel Classification Method, the Model--Based Algorithm, Applied to the Prediction of the Casting Behaviour in the Steelmaking Practice Inproceedings
-, pp. 173–178, IASTED, Innsbruck, Austria, 2006.
Comparison of different classification methods on castabilty data coming from steelmaking practice Inproceedings
Proceedings of the 12th European Symposyum on Artificial Neural Networks ESANN 2004, pp. 263–268, d-side, Brugges, Belgio, 2004.
Meaningful discretization of continuous features for association rules mining by means of a SOM Inproceedings
Proceedings of the 12th European Symposyum on Artificial Neural Networks ESANN 2004, pp. 489–494, d-side, Brugges, Belgio, 2004.
The BS-method: an algorithm for solving optimization problems Inproceedings
Proceedings of the 4th International Conference on Artificial Intelligence and Applications, pp. 224–229, IASTED, Innsbruck, Austria, 2004.
Estimation of train speed via neuro-fuzzy techniques Inproceedings
Proceedings of the International Workshop on Artificial Neural Networks IWANNâ€™03, pp. 520–527, Springer, Menorca, Spagna, 2003.
Comparison of traditional and neural system for train speed estimation Inproceedings
-, pp. 401–406, d-side, Brugges, Belgio, 2003.
Knowledge-Based Intelligent Information and Engineering Systems, pp. 622–628, Springer Berlin Heidelberg, Oxford, United Kingdom, 2003.