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This page reports the complete information about PhD, M. Sc., Bachelor theses, courses and conference lectures related to DAME team activities. Information on science production & technical documentation of the project, click here.

Go to the M.Sc. in Physics web page

Go to the PhD in Physics web page

DAME project is under continuous evolution. There are graduate (Bachelor and Master of Science) and PhD theses as well as undergraduate apprenticeships available in the following areas:

• Astrophysics: mining, exploration, analysis, processing of massive data archives by using Artificial Intelligence, Machine Learning models;


• Computer Science & Software Engineering: design and development of applications for data processing in distributed infrastructures (GRID/CLOUD) and parallel programming (GPGPU); Design and implementation of data analysis/statistics models;

If you are interested to collaborate, you should contact any of the following people:

• Prof. G. Longo (Principal Investigator), Department of Physics, Univ. Federico II (Tel. +39.081.676.912)


• Dr. M. Brescia (Project Manager), INAF Astronomical Observatory of Capodimonte (Tel. +39.081.5575.553)

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• AstroInformatics (active + PhD offer), M. Brescia, S. Cavuoti Master of Science in Physics, Dept. of Physics, University Federico II, Napoli, Italy


• Astronomical Technologies (actually not activated), M. Brescia, Master of Science in Physics, Dept. of Physics, University Federico II, Napoli, Italy


• Astrophysics, G. Longo, Master of Science in Physics (active), Dept. of Physics, University Federico II, Napoli, Italy
  

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• DQCT Team, 2016. Data Quality Common Tools status. Euclid Mission Organization Meeting, Lisbon, Portugal, May 31, 2016


• DAME Team, 2016. METAPHOR, Machine Learning tool for accurate photometric redshifts. Conference for Statistical Challenges in 21st Century Cosmology, Crete, May 25, 2016


• DAME Team, 2016. METAPHOR, Machine Learning tool for accurate photometric redshifts. Euclid Mission OU-PHZ Meeting, Napoli, Italy, May 18-20, 2016


• DAME Team, 2016. A cooperative approach among SED and ML methods. Euclid Mission OU-PHZ Meeting, Napoli, Italy, May 18-20, 2016


• S. Cavuoti, 2016. Curse of dimensionality. H2020 Cost Action TD1403 Big Sky Earth, Munich, Germany, Apr 8, 2016


• S. Cavuoti, 2016. Cloud Computing and Big Data Fundamentals. H2020 Cost Action TD1403 Big Sky Earth, Munich, Germany, Apr 4, 2016


• Euclid OU-PHZ, 2015. Photo-z with PDFRaptor. Euclid OU-PHZ Meeting, Geneva, Dec 7-9, 2015


• Euclid OU-PHZ, 2015. A PDF with MLPQNA. Euclid OU Meeting, Barcellona, Jul 02, 2015


• Euclid OU-PHZ Naples Group, 2015. Status on recent activities of Naples Working Group for the OU-PHZ of Euclid Mission. Euclid Plenary Meeting, Lausanne, Jun 10, 2015


• G. Riccio et al., 2015. An ICT and Data Mining framework for knowledge discovery in the ViaLactea project. SAIT Conference, Catania, May 20, 2015


• V. Amaro et al., 2015. pdfRaptor. A software processing flow for photometric redshifts with machine learning methods. SAIT Conference, Catania, May 18, 2015


• G. Riccio et al., 2014. The OACN Team contribution to the FP7 ViaLactea Project . AstroMeeting, INAF-OACN Napoli, December 17, 2014


• G. Longo et al., 2014. Data driven discovery in Astrophysics . ESA Conference on Big Data from Space, Roma Frascati, ESA-ESRIN, November 14, 2014


• M. Garofalo et al., 2014. Acceleration of Machine Learning models based on GPGPU Technology. Conference on Perspectives of GPU Computing in Physics and Astrophysics, Roma, September 17, 2014


• G. Longo et al., 2014. Mining Digital Surveys. AstroInformatics 2014, Vina del Mar, Valparaiso Chile, August 2014


• S. Cavuoti et al., 2014. Photometric Redshifts for KIDS with MLPQNA. KIDS Science Meeting, Capodimonte Astronomical Observatory, Naples Italy, March 2014


• S. Cavuoti et al., 2014. AstroInformatics for dummies. Galah Workshop, Monash University, Melbourne Australia, January 2014


• G. Longo, 2013. Mining Massive Astronomical data: DAMEWARE and Co.. AstroInformatics 2013, Knowledge from Data, Sydney Australia, December 9-13


• G. Longo, 2013. Infrastructure for Astronomical Data Mining. Symposium on Advanced Tools Applied to Frontier Astronomy, BioMedicine and Massive Data-driven Sciences, Pucon Chile, August 20-23


• Esposito F., 2013. Clustering con Modelli Software Dinamici. Seminario Dip. di Informatica, Università degli Studi di Napoli Federico II


• Surfing the Digital Universe, S. Cavuoti, PhD annual workshop, University Federico II of Naples, Italy, Jan 31, 2013


• Virtual Observatory, Data Intensive Science and 2.0 technologies, G. Longo and DAME Team, International Conference on Future Science with Metre-class Telescopes, Hotel Tulip-Inn, Belgrad, Serbia, Sep 18-21, 2012


• Data Mining and Knowledge Discovery Resources for Astronomy in the Web 2.0 Age, S. Cavuoti, SPIE Conference on Software and Cyberinfrastructure for Astronomy II, RAI COnvention Center, Amsterdam, July 1, 2012


• STraDiWA: A simulation Environment for Transient Discovery, M. Annunziatella, Astrophysical Colloquium at Astromeeting, OAC Naples, June 20, 2012


• Time Domain Astronomy: a new frontier of astronomy, G. Longo, M. Brescia, Interdepartmental Physics-Mathematics lecture, Department of Physics, University Federico II, Napoli, June 7, 2012


• Genetic algorithm modeling with gpu parallel computing technology, M. Brescia, 22nd WIRN Italian Workshop on Neural Networks, Vietri sul Mare, Salerno, Italy, May 17-19, 2012


• Globular Clusters Classification with GPU-based data mining methods, M. Brescia, Astrophysical Colloquium at Astromeeting, OAC Naples, March 28, 2012


• VOGClusters, a Web Application for Globular Clusters, M. Castellani, Workshop on VO Publish or: How to publish data into the Virtual Observatory, Trieste, February 27-29, 2012


• Computational Science and new perspectives for the analysis of massive data sets, G. Longo and M. Brescia, 2nd International Conference Frontiers in Diagnostic Technologies, National Labs Frascati, Italy, November 29, 2011


• DAME: A Web 2.0 Technology based Infrastructure for Data Exploration, M. Brescia, AstroInformatics 2011 Conference, Sorrento, Italy, September 26, 2011


• What is (Astronomical) Data Mining, G. Longo, M. Brescia, GREAT Summer School on Astrostatistics and Data Mining, La Palma, Canary Islands, Spain, May 30th - June 3rd, 2011


• The VO Standards for KDD: The DAME Experience, M. Brescia et al., IVOA Interop meeting, Napoli, Italy, May 16-21, 2011


• DAME: A Web Oriented Infrastructure For Scientific Data Mining And Exploration, S. Cavuoti, Data analysis in Astronomy Conference, Erice, Italy, April 2011


• VOGClusters: A Data Mining Web App on Globular Clusters, M. Castellani, Journal Club, Astronomical Observatory of Rome, Italy, November 2010


• Data rich Astronomy: mining synoptic sky surveys, S. Cavuoti, PhD Workshop, University Federico II of Naples, Italy, November 2010


• Between Massive Astronomical DataSets and the Virtual Observatory, R. D'Abrusco, Lecture at CfA Postdoc Colloquium, Harvard-Smithsonian Center for Astrophysics, Cambridge MA, USA, November 2010


• Mining Astronomical Massive Data Sets, G. Longo, Lecture at ASI (Italian Space Agency), Roma, Italy, July 2010


• Concluding Thoughts and Provocations, G. Longo, S.G. Djorgovski, Lecture at AstroInformatics 2010, Pasadena, CA, USA, June 2010


• DAME: An extensible, astronomer friendly data mining platform, M. Brescia, O. Laurino, G. Longo, Lecture at IVOA Interop 2010, Victoria, Canada, May 19, 2010


• Candidate astronomy with Data Mining: Deprojecting the Distribution of Quasars, O. Laurino, R. D'Abrusco, G. Longo, M. Brescia, Lecture at CIDU 2010 Conference on Intelligent Data Understanding, Computer History Museum, Mountain View, Ca, USA, October 5-7, 2010


• DAME: A Distributed Web Based Framework for Knowledge Discovery in Databases, M. Brescia, G. Longo, M. Castellani, S. Cavuoti, R. D'Abrusco, O. Laurino, Lecture at 54th SAIT Congress "L'astronomia italiana: prospettive per la prossima decade", Astronomical Observatory of Capodimonte, Napoli, May 6, 2010


• DAME: A Distributed Data Mining & Exploration Framework within the Virtual Observatory, M. Brescia, S. Cavuoti, R. D'Abrusco, O. Laurino, G. Longo, Lecture at INGRID "Instrumenting the GRID" Workshop, Poznan, Poland, May 12-14, 2010


• Knowledge discovery in astrophysics: massive data sets, virtual observatory and beyond, G. Longo, M. Brescia, Interdepartmental Physics-Mathematics lecture, Department of Physics, Università Federico II, Napoli, February 3, 2010


• Photometric Redshifts with DAME, O. Laurino, R. D'Abrusco, M. Brescia, G. Longo, presentation at VO-Day...In Tour Meetings, INAF, 2009-2010


• Mining Massive Data Sets in Data Rich Sciences, M. Brescia, G. Longo, F. Pasian, invited lecture at ICFDT - 1st International Conference on Frontiers in Diagnostic Technologies, LNF Frascati, Italy, November 25-27, 2009


• Discussion of the charter for the Data Mining Interest Group DMi - IG, G. Longo & M. Brescia, presentation at IVOA Interoperability Meeting, Garching bei Munchen, Germany, November 9-12 2009


• DAME: Astrophysical Data Mining & Exploration on SCoPE GRID - M. Brescia et DAME group, talk at Astronomy and Astrophysics Applications in Grids session of EGEE'09 (Uniting our strengths to realise a sustainable European GRID), Barcellona, Spain, September 24 2009


• Astronomical Data Mining: An Application to the photometric redshifts of galaxies and QSOs with DAME - G. Longo et DAME group, Lecture at IPAC, Pasadena, California USA, August 2009


• Astronomical Data Mining: Renaissance or dark age? - G. Longo et DAME Group, Workshop on Machine Learning and AI Applications in Astrophysics and Cosmology, IJCAI-09 Conference, Pasadena, California USA, July 2009


• The VO-Neural/DAME infrastructure: an integrated data mining system for the e-science community - Brescia et al. OACN Napoli, Apr. 2009


• DAME & NEXt II - Segmentation of images in a distribuited computing environment, Brescia et al. 2009


• The VO-Neural/DAME infrastructure: an integrated data mining system support for the e-science community, Brescia et al., Workshop finale dei Progetti Grid del PON "Ricerca" 2000-2006, Catania, February 2009


• Probing the QSOs Distribution within the Virtual Observatory, D'Abrusco et. al, AAS 213th meeting 6th January 2009


• VO-Neural/DAME, G. Longo, Tiruvalla (India), January 2009


• An Integrated Data Mining Framework for Massive Data Sets - O. Laurino et al., Lecture at Caltech, Pasadena, California USA, December 2008


• A photometric unsupervised candidate quasars selection algorithm,RAS NAM2007, D'Abrusco, Preston (UK), 18th April 2007


• Virtual organizations in astronomy and beyond, Tblisi, INTAS Meeting, Longo, March 28, 2007


• VO-Tech Phase 5, G. Longo, Munich, 12-15 March 2007


• The 3D Structure of the Nearby Universe. From the SDSS Archive, Longo, Brescia, D'Abrusco, ADA IV, Marseille, September 2006


• VO-Tech DS-6 Meeting, Leicester, February 24-th, 2005


• VO-Tech, DS-6 Meeting, Edimburgh, January 21, 2005


• VO-Tech, Kickoff Meeting, Cambridge, November 2004

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• Early type galaxies and structural parameters from KiDS, N. Roy, N. Napolitano, F. La Barbera, C. Tortora, F. Getman, M. Brescia, S. Cavuoti, G. Longo, M. Capaccioli, International Conference " Universe of Digital Sky Survey", Astronomical Observatory of Capodimonte, Napoli, Nov 26, 2014


• VO-Day in Tour, R. Smareglia, M. Brescia, R. D'Abrusco, O. Laurino, et al., presented at 54th SAIT Congress "L'astronomia italiana: prospettive per la prossima decade", Astronomical Observatory of Capodimonte, Napoli, May 6, 2010


• DAME: A distributed data mining infrastructure for e-science discoveries , M. Brescia et al., Workshop on Machine Learning and AI Applications in Astrophysics and Cosmology, IJCAI-09 Conference, Pasadena, California USA, July 2009


• A unified approach to photometric redshift evaluation for galaxies and QSOs, O. Laurino et al., Workshop on Machine Learning and AI Applications in Astrophysics and Cosmology, IJCAI-09 Conference, Pasadena, California USA, July 2009


• A web application for photometric redshifts evaluation, Laurino et al., Workshop finale dei Progetti Grid del PON "Ricerca" 2000-2006, Catania, February 2009


• Photometric AGN classification in the SDSS, Cavuoti et al., Italian E-science2008 Naples, Italy


• Searching for Cosmic Strings in the CMB, Riccio et al. Italian e-Science2008, Naples, Italy


• The Interface between AstroGrid and S.Co.P.E. - GRID, Deniskina, Italian e-Science2008, Naples, Italy


• The VO-Neural Project - a GRID based astrophysical data mining environment, Brescia et al. Italian e-Science2008, Naples, Italy

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• Data Rich Astronomy: Mining Synoptic Sky Surveys, S. Cavuoti, PhD in Physics, XXV Cycle, University Federico II of Naples, 2013 (slides available)


• The large scale structure of the nearby Universe, R. D'Abrusco, PhD in Physics, 2007


• Unsupervised Neural Networks for the Extraction of Scientific Information from Astronomical Data, A. Staiano, PhD in Physics, 2004

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• Metodi di apprendimento non supervisionato per l'analisi di mappe di estinzione in astrofisica, F. Esposito, M.Sc. in Computer Science. Supervisors Prof. F. Isgro', Dr. M. Brescia, Dr. S. Cavuoti, A.Y. 2014/15, University Federico II of Napoli, (presentation also available here)


• Classification of astronomical transients with machine learning methods, A. D'Isanto, M.Sc. in Astrophysics and Space Sciences. Supervisors Prof. G. Longo, Dr. M. Brescia, Dr. S. Cavuoti, A.Y. 2013/14, University Federico II of Napoli, (presentation also available here)


• PHOTORAPTOR: PHOTOmetric Research APplication TO Redshifts and application to the SDSS-DR9 galaxies, V. De Stefano, M.Sc. in Physics. Supervisors Prof. G. Longo, Dr. M. Brescia, A.Y. 2012/13, (presentation also available here)


• STraDiWA: A Simulation Environment for astronomical transient discovery, M. Annunziatella, M.Sc. in Physics (Space Sciences), Faculty of Sciences, Supervisors Prof. G. Longo, Dr. M. Brescia, Drs. A. Mercurio, A.Y. 2011/12, (presentation also available here)


• GPU Computing for Machine Learning Algorithms, M. Garofalo, M.Sc. in Informatics Engineering, Faculty of Engineering, Supervisor Prof. G. Ventre, Prof. A. Pescape', Dr. M. Brescia, A.Y. 2010/11, (thesis presentation also available here)


• Virtual Observatory and Data Mining, J. Vazny, M.Sc. in Astrophysics, Masaryk University Department of Theoretical Physics and Astrophysics, Supervisor RNDr. Petr Skoda, CSc., A.Y. 2011


• The multiplicity function for Photometric Redshifts, M. Guglielmo, M.Sc. in Physics, A.A. 2008/2009


• Deprojecting the AGN Universe within the Virtual Observatory, O. Laurino, M.Sc. in Physics, A.A. 2008/2009 (thesis presentation also available here)


• Ricerca di Nuclei Galattici Attivi in survey fotometriche multibanda, S. Cavuoti, M.Sc. in Physics, A.A. 2006/2007


• Studio delle proprietà fotometriche globali a diverse lunghezze d'onda dell'ammasso Abell 85, R. D'Abrusco, M.Sc. in Physics, A.A. 2003/2004


• Classificazione Stelle/Galassie tramite reti neurali, N. Capuano, M.Sc. in Physics, A.A. 1996/1997


• Una rete neurale per il trattamento di segnali geoficisici e datazione di profili orografici basata su eventi astronomici, M. Brescia, M.Sc. in Informatics, A.A. 1993/1994

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• Ricostruzione di mappe d'estinzione interstellare basata su machine learning non supervisionato, G. Angora, Physics, A.A. 2015/2016


• Modellazione 3D della Via Lactea con Unity, P. D'Andrea, Computer Science, A.A. 2013/2014


• Tecniche di Clustering basate sul Machine Learning, F. Esposito, Computer Science, A.A. 2012/2013 (thesis presentation also available here)


• Analisi delle prestazioni di algoritmi di Machine Learning per la classificazione del traffico di rete, L. Di Colandrea, Telecommunication Engineering, A.A. 2012/2013 (thesis presentation also available here)


• Sviluppo di strumenti grafici su una Web Application per il data mining, G. Albano, Computer Science, A.A. 2011/2012 (thesis presentation also available here)


• High Performance Computing based on GPU. A hybrid neural and genetic model for data mining in Astrophysics, A. Solla, Computer Science, A.A. 2011/2012 (thesis presentation also available here)


• Automation of Systems for integration of Machine Learning Models into DAME Data Mining Web Application, S. Riccardi, Computer Science, A.A. 2010/2011


• A Graphical User Interface for the Web Application VOGCLUSTERS, E. Mancini, Computer Science, A.A. 2010/2011 (thesis presentation also available here)


• Software Virtualization of the Computing Infrastructure to Interface DAMEGRID web application on the S.Co.P.E. Grid, G. Vebber, Computer Science, A.A. 2010/2011 (thesis presentation also available here)


• Integrazione di due nuove tecniche di apprendimento automatico per il Progetto DAME, M. Guglielmo, Computer Science, A.A. 2009/2010 (thesis presentation also available here)


• DAME-KappA: Integrazione del framework KNIME nella Suite DAME, P. Esposito, Computer Science, A.A. 2009/2010 (thesis presentation also available here)


• VOGCLUSTERS: una Web Application per l'analisi e trattamento di ammassi globulari, S. Checola, Computer Science, A.A. 2008/2009 (thesis presentation also available here)


• Una Web application su infrastruttura GRID per il progetto DAME, F. Manna, Computer Science, A.A. 2008/2009 (thesis presentation also available here)


• Il componente Data Mining Model del progetto DAME, A. Di Guido, Computer Science, A.A. 2008/2009 (thesis presentation also available here)


• NEXT (NEural Extractor) II: un segmentatore di immagini astronomiche, C. Vellucci, Computer Science, A.A. 2008/2009 (thesis presentation also available here)


• Il componente Framework del progetto VO-Neural/DAME, M. Fiore, Computer Science, A.A. 2007/2008

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