{"id":6311,"date":"2023-03-22T17:33:22","date_gmt":"2023-03-22T17:33:22","guid":{"rendered":"https:\/\/www-2023.phdindustrialengineering.uniroma2.it\/?post_type=user_card&p=6311"},"modified":"2023-05-05T07:43:35","modified_gmt":"2023-05-05T07:43:35","slug":"michela-gelfusa","status":"publish","type":"user_card","link":"https:\/\/www-2023.phdindustrialengineering.uniroma2.it\/?user_card=michela-gelfusa","title":{"rendered":"Gelfusa Michela"},"content":{"rendered":"\n
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Personal Information<\/h2>\n\n\n\n
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Name<\/strong><\/td>Michela Gelfusa<\/td><\/tr>
Nationality<\/strong><\/td>Italian<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Contact Details<\/h2>\n\n\n\n
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Address<\/strong><\/td>Departmemnt of Industrial Engineering Rome Tor Vergata University \u2013 Via del Politecnico 1, 00133 Rome, Italy<\/td><\/tr>
Office Location<\/strong><\/td>Building of Industrial Engineering, III floor, Room n. 3145<\/td><\/tr>
Phone<\/strong><\/td>39 06 72597210<\/td><\/tr>
Mobile<\/strong><\/td>39 329 1012277<\/td><\/tr>
Fax<\/strong><\/td>39 06 72597158<\/td><\/tr>
Email<\/strong><\/td>gelfusa@ing.uniroma2.it<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Languages<\/h2>\n\n\n\n
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Native Language<\/strong><\/td>Italian<\/td><\/tr>
Others<\/strong><\/td>English
Reading skills: good
Writing skills: good
Verbal skills: good<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Curriculum<\/h2>\n\n\n\n
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Current Position<\/strong><\/td>Associate professor<\/td><\/tr>
Education<\/strong><\/td>Ph.D in Quantum Electronic and Plasma Physics \u2013 University of Rome \u201cTor Vergata\u201d
Master Degree in Energy Engineering at the University of Rome \u201cTor Vergata<\/td><\/tr>
Teaching<\/strong><\/td>Diagnostic techniques for thermonuclear fusion reactors \u2013 6 CFU<\/td><\/tr>
Web Pages<\/strong><\/td>Researchgate<\/em><\/a>
Scientific publications<\/a><\/em>
Google Scholar<\/a><\/em><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Research Activities<\/h2>\n\n\n\n
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  • Laser based diagnostics for Tokamaks<\/li>\n\n\n\n
  • Tomography and other inversion problems for thermonuclear plasmas<\/li>\n\n\n\n
  • Anomaly detection for the prevention of accidents in complex plans<\/li>\n\n\n\n
  • Machine learning methods for physics modelling and data driven theory<\/li>\n\n\n\n
  • Causality detection in time series<\/li>\n\n\n\n
  • Scaling of engineering parameters for the design of new power plants<\/li>\n\n\n\n
  • Remote sensing techniques for environmental physics<\/li>\n<\/ul>\n\n\n\n

    Publications<\/h2>\n\n\n\n
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      \n
    1. Peluso, E., Craciunescu, T., Murari, A., Carvalho, P., Gelfusa, M., A comprehensive study of the uncertainties in bolometric tomography on JET using the maximum likelihood method<\/em>, (2019) Review of Scientific Instruments, 90 (12), art. no. 123502<\/li>\n\n\n\n
    2. Murari, A., Lungaroni, M., Peluso, E., Craciunescu, T., Gelfusa, M., A Model Falsification Approach to Learning in Non-Stationary Environments for Experimental Design<\/em>, (2019) Scientific Reports, 9 (1), art. no. 17880<\/li>\n\n\n\n
    3. Peluso, E., Craciunescu, T., Gelfusa, M., Murari, A., Carvalho, P.J., Gaudio, P., On the effects of missing chords and systematic errors on a new tomographic method for JET bolometry<\/em>, (2019) Fusion Engineering and Design, 146, pp. 2124-2129<\/li>\n\n\n\n
    4. Gelfusa, M., et al, Stray millimeter-wave radiation loads on ITER fused silica windows<\/em>, (2019) Fusion Engineering and Design, 146, pp. 308-311<\/li>\n\n\n\n
    5. Joffrin, E., et al, Overview of the JET preparation for deuterium-tritium operation with the ITER like-wall<\/em>, (2019) Nuclear Fusion, 59 (11), art. no. 112021<\/li>\n\n\n\n
    6. Murari, A., Lungaroni, M., Gelfusa, M., Peluso, E., Vega, J., Adaptive learning for disruption prediction in non-stationary conditions<\/em>, (2019) Nuclear Fusion, 59 (8), art. no. 086037<\/li>\n\n\n\n
    7. Str\u00f6m, P., et al, Analysis of deposited layers with deuterium and impurity elements on samples from the divertor of JET with ITER-like wall<\/em>, (2019) Journal of Nuclear Materials, 516, pp. 202-213.<\/li>\n\n\n\n
    8. Rossi, R., Ciparisse, J.-F., Gelfusa, M., Malizia, A., Gaudio, P., The project TELEMACO: Detection, identification and concentration measurements of hazardous chemical agents<\/em>, (2019) Journal of Instrumentation, 14 (3), art. no. C03004<\/li>\n\n\n\n
    9. Vasilopoulou, T., et al, Improved neutron activation dosimetry for fusion<\/em>, (2019) Fusion Engineering and Design, 139, pp. 109-114.<\/li>\n\n\n\n
    10. Drenik, A., et al, Analysis of the outer divertor hot spot activity in the protection video camera recordings at JET<\/em>, (2019) Fusion Engineering and Design, 139, pp. 115-123.<\/li>\n\n\n\n
    11. Lawson, K.D., et al, Population modelling of the He II energy levels in tokamak plasmas: I. Collisional excitation model<\/em>, (2019) Journal of Physics B: Atomic, Molecular and Optical Physics, 52 (4), art. no. 045001<\/li>\n\n\n\n
    12. Craciunescu, T., Murari, A., Gelfusa, M., Causality detection methods applied to the investigation of malaria epidemics<\/em>, (2019) Entropy, 21 (8), art. no. 784<\/li>\n\n\n\n
    13. Lungaroni, M., Murari, A., Peluso, E., Gaudio, P., Gelfusa, M., Geodesic Distance on Gaussian Manifolds to Reduce the Statistical Errors in the Investigation of Complex Systems<\/em>, (2019) Complexity, 2019, art. no. 5986562<\/li>\n\n\n\n
    14. Hatano, Y., et al, Tritium distributions on W-coated divertor tiles used in the third JET ITER-like wall campaign<\/em>, (2019) Nuclear Materials and Energy, 18, pp. 258-261.<\/li>\n\n\n\n
    15. Sias, G., et al , A locked mode indicator for disruption prediction on JET and ASDEX upgrade<\/em>, (2019) Fusion Engineering and Design, 138, pp. 254-266.<\/li>\n\n\n\n
    16. Craciunescu, T., Murari, A., Gelfusa, M., Improving entropy estimates of complex network topology for the characterization of coupling in dynamical systems<\/em>, (2018) Entropy, 20 (11), art. no. 891<\/li>\n\n\n\n
    17. Rossi, R., Ciparisse, J.-F., Malizia, A., Gelfusa, M., Gaudio, P., Multiwavelength differential absorption lidar to improve measurement accuracy: test with ammonia over a traffic area<\/em>, (2018) Applied Physics B: Lasers and Optics, 124 (7), art. no. 148<\/li>\n\n\n\n
    18. Craciunescu, T., Peluso, E., Murari, A., Gelfusa, M., Maximum likelihood bolometric tomography for the determination of the uncertainties in the radiation emission on JET TOKAMAK<\/em>, (2018) Review of Scientific Instruments, 89 (5), art. no. 053504<\/li>\n\n\n\n
    19. Lungaroni, M., Murari, A., Peluso, E., Vega, J., Farias, G., Gelfusa, M.,On the potential of ruled-based machine learning for disruption prediction on JET<\/em>, (2018) Fusion Engineering and Design, 130, pp. 62-68.<\/li>\n\n\n\n
    20. Rigamonti, D., et al, Neutron spectroscopy measurements of 14 MeV neutrons at unprecedented energy resolution and implications for deuterium-tritium fusion plasma diagnostics<\/em>, (2018) Measurement Science and Technology, 29 (4), art. no. 045502<\/li>\n\n\n\n
    21. Murari, A., Lungaroni, M., Peluso, E., Gaudio, P., Vega, J., Dormido-Canto, S., Baruzzo, M., Gelfusa, M., Adaptive predictors based on probabilistic SVM for real time disruption mitigation on JET<\/em>, (2018) Nuclear Fusion, 58 (5), art. no. 056002<\/li>\n\n\n\n
    22. Litaudon, X., et al, 14 MeV calibration of JET neutron detectors-phase 1: Calibration and characterization of the neutron source<\/em>, (2018) Nuclear Fusion, 58 (2), art. no. 026012<\/li>\n\n\n\n
    23. Murari, A., Lungaroni, M., Peluso, E., Gaudio, P., Lerche, E., Garzotti, L., Gelfusa, M., On the use of transfer entropy to investigate the time horizon of causal influences between signals<\/em>, (2018) Entropy, 20 (9), art. no. 627<\/li>\n\n\n\n
    24. Murari, A., Craciunescu, T., Peluso, E., Lerche, E., Gelfusa, M., On efficiency and interpretation of sawteeth pacing with on-axis ICRH modulation in JET<\/em>, (2017) Nuclear Fusion, 57 (12), art. no. 126057<\/li>\n\n\n\n
    25. Kazakov, Y.O, et al, Efficient generation of energetic ions in multi-ion plasmas by radio-frequency heating<\/em>, (2017) Nature Physics, 13 (10), pp. 973-978.<\/li>\n\n\n\n
    26. Murari, A., Craciunescu, T., Peluso, E., Gelfusa, M., Detection of causal relations in time series affected by noise in tokamaks using geodesic distance on gaussian manifolds<\/em>, (2017) Entropy, 19 (10), art. no. 569<\/li>\n\n\n\n
    27. Litaudon, X., et al, Overview of the JET results in support to ITER<\/em>, (2017) Nuclear Fusion, 57 (10), art. no. 102001<\/li>\n\n\n\n
    28. Manas, P., Camenen, Y., Benkadda, S., Weisen, H., Angioni, C., Casson, F.J., Giroud, C., Gelfusa, M., Maslov, M., Gyrokinetic modeling of impurity peaking in JET H-mode plasmas<\/em>, (2017) Physics of Plasmas, 24 (6), art. no. 062511<\/li>\n\n\n\n
    29. Ciparisse, J.F., Malizia, A., Poggi, L.A., Tieri, F., Gelfusa, M., Murari, A., Papa, C.D., Giovannangeli, I., Gaudio, P., 3D numerical simulations of a LOVA reproduction inside the new facility STARDUST-UPGRADE<\/em>, (2017) Journal of Instrumentation, 12 (2), art. no. C02001<\/li>\n\n\n\n
    30. Gaudio, P., Malizia, A., Gelfusa, M., Murari, A., Parracino, S., Poggi, L.A., Lungaroni, M., Ciparisse, J.F., Giovanni, D.D., Cenciarelli, O., Carestia, M., Peluso, E., Gabbarini, V., Talebzadeh, S., Bellecci, C., Lidar and Dial application for detection and identification: A proposal to improve safety and security<\/em>, (2017) Journal of Instrumentation, 12 (1), art. no. C01054<\/li>\n\n\n\n
    31. Murari, A., Peluso, E., Gaudio, P., Gelfusa, M., Robust scaling laws for energy confinement time, including radiated fraction, in Tokamaks<\/em>, (2017) Nuclear Fusion, 57 (12), art. no. 126017<\/li>\n\n\n\n
    32. Murari, A., Peluso, E., Vega, J., Gelfusa, M., Lungaroni, M., Gaudio, P., Mart\u00ednez, F.J., Determining the prediction limits of models and classifiers with applications for disruption prediction in JET<\/em>, (2017) Nuclear Fusion, 57 (1), art. no. 016024<\/li>\n\n\n\n
    33. Malizia, A., Gelfusa, M., Murari, A., Richetta, M., Ciparisse, J.F., Poggi, L.A., Lungaroni, M., Gaudio, P., A novel facility to investigate dust mobilization in confined environments with applications to the security of the pharmaceutical industry<\/em>, (2017) Materials Science Forum, 879, pp. 1213-1219<\/li>\n\n\n\n
    34. Gaudio, P., Gelfusa, M., Andrea, M., Pizzoferrato, R., Carestia, M., Cenciarelli, O., Parracino, S., Gianmarco, L., Gabriele, J., Gabbarini, V., Di Giovanni, D., Rossi, R., Ciparisse, J.F., Carlo, B., Malizia, A., Application of optical techniques to detect chemical and biological agents<\/em>, (2017) Defence S and T Technical Bulletin, 10 (1), pp. 1-13<\/li>\n\n\n\n
    35. Parracino, S., Richetta, M., Gelfusa, M., Malizia, A., Bellecci, C., De Leo, L., Perrimezzi, C., Fin, A., Forin, M., Giappicucci, F., Grion, M., Marchese, G., Gaudio, P., Real-time vehicle emissions monitoring using a compact LiDAR system and conventional instruments: First results of an experimental campaign in a suburban area in southern Italy<\/em>, (2016) Optical Engineering, 55 (10), art. no. 103107<\/li>\n\n\n\n
    36. Malizia, A., Poggi, L.A., Ciparisse, J.F., Talebzadeh, S., Gelfusa, M., Murari, A., Gaudio, P., Plasma-material Interactions Problems and Dust Creation and Re-suspension in Case of Accidents in Nuclear Fusion Plants: A New Challenge for Reactors like ITER and DEMO<\/em>, (2016) Advanced Surface Engineering Materials, pp. 635-702.<\/li>\n\n\n\n
    37. Peluso, E., Murari, A., Gelfusa, M., Lungaroni, M., Talebzadeh, S., Gaudio, P., On determining the prediction limits of mathematical models for time series, (2016) Journal of Instrumentation<\/em>, 11 (7), art. no. C07013<\/li>\n\n\n\n
    38. Poggi, L.A., Malizia, A., Ciparisse, J.F., Tieri, F., Gelfusa, M., Murari, A., Del Papa, C., Giovannangeli, I., Gaudio, P., STARDUST-U experiments on fluid-dynamic conditions affecting dust mobilization during LOVAs<\/em>, (2016) Journal of Instrumentation, 11 (7), art. no. C07012..<\/li>\n\n\n\n
    39. Murari, A., Craciunescu, T., Peluso, E., Gelfusa, M., Lungaroni, M., Garzotti, L., Frigione, D., Gaudio, P., How to assess the efficiency of synchronization experiments in tokamaks<\/em>, (2016) Nuclear Fusion, 56 (7), art. no. 076008<\/li>\n\n\n\n
    40. Lungaroni, M., Murari, A., Peluso, E., Gelfusa, M., Malizia, A., Vega, J., Talebzadeh, S., Gaudio, P., New analysis methods to push the boundaries of diagnostic techniques in the environmental sciences<\/em>, (2016) Journal of Instrumentation, 11 (4), art. no. P04019.<\/li>\n\n\n\n
    41. Murari, A., Talebzadeh, S., Vega, J., Peluso, E., Gelfusa, M., Lungaroni, M., Gaudio, P., A metric to improve the robustness of conformal predictors in the presence of error bars<\/em>, (2016) Lecture Notes in Computer Science, 9653, pp. 105-115.<\/li>\n\n\n\n
    42. Gelfusa, M., Murari, A., Lungaroni, M., Malizia, A., Parracino, S., Peluso, E., Vega, J., De Leo, L., Perrimezzi, C., Gaudio, P., On the determination of the backscattering profile with Lidar in presence of widespread smoke<\/em>, (2016) IET Publications, 2016 (CP704)<\/li>\n\n\n\n
    43. Camplani, M., Malizia, A., Gelfusa, M., Barbato, F., Antonelli, L., Poggi, L.A., Ciparisse, J.F., Salgado, L., Richetta, M., Gaudio, P., Image computing techniques to extrapolate data for dust tracking in case of an experimental accident simulation in a nuclear fusion plant<\/em>, (2016) Review of Scientific Instruments, 87 (1), art. no. 013504<\/li>\n\n\n\n
    44. Ciparisse, J.-F., Malizia, A., Poggi, L.A., Cenciarelli, O., Gelfusa, M., Carestia, M.C., Di Giovanni, D., Mancinelli, S., Palombi, L., Bellecci, C., Gaudio, P., Numerical Simulations as Tool to Predict Chemical and Radiological Hazardous Diffusion in Case of Nonconventional Events<\/em>, (2016) Modelling and Simulation in Engineering, 2016, art. no. 6271853<\/li>\n\n\n\n
    45. Murari, A., Peluso, E., Lungaroni, M., Gelfusa, M., Gaudio, P., Application of symbolic regression to the derivation of scaling laws for tokamak energy, confinement time in terms of dimensionless quantities<\/em>, (2015) Nuclear Fusion, 56 (2), art. no. 026005<\/li>\n\n\n\n
    46. Murari, A., Peluso, E., Gelfusa, M., Garzotti, L., Frigione, D., Lungaroni, M., Pisano, F., Gaudio, P., Application of transfer entropy to causality detection and synchronization experiments in tokamaks<\/em>, (2015) Nuclear Fusion, 56 (2), art. no. 026006<\/li>\n\n\n\n
    47. Ciparisse, J.F., Malizia, A., Poggi, L.A., Gelfusa, M., Murari, A., Mancini, A., Gaudio, P., First 3D numerical simulations validated with experimental measurements during a LOVA reproduction inside the new facility STARDUST-Upgrade<\/em>,(2015) Fusion Engineering and Design, 101, pp. 204-208<\/li>\n\n\n\n
    48. Poggi, L.A., Malizia, A., Ciparisse, J.F., Gelfusa, M., Murari, A., Pierdiluca, S., Lo Re, E., Gaudio, P., First Experimental Campaign to Demonstrate STARDUST-Upgrade Facility Diagnostics Capability to Investigate LOVA Conditions<\/em>, (2015) Journal of Fusion Energy, 34 (6), pp. 1320-1330<\/li>\n\n\n\n
    49. Carestia, M., Pizzoferrato, R., Gelfusa, M., Cenciarelli, O., Ludovici, G.M., Gabriele, J., Malizia, A., Murari, A., Vega, J., Gaudio, P., Development of a rapid method for the automatic classification of biological agents\u2019 fluorescence spectral signatures<\/em>, (2015) Optical Engineering, 54 (11), art. no. 114105<\/li>\n\n\n\n
    50. Lupelli, I., Malizia, A., Richetta, M., Poggi, L.A., Ciparisse, J.F., Gelfusa, M., Gaudio, P., Simulations and Experiments to Reach Numerical Multiphase Informations for Security Analysis on Large Volume Vacuum Systems Like Tokamaks<\/em>, (2015) Journal of Fusion Energy, 34 (5), pp. 959-978<\/li>\n\n\n\n
    51. Craciunescu, T., Murari, A., Gelfusa, M., Tiseanu, I., Zoita, V., Arnoux, G., Advanced methods for image registration applied to JET videos<\/em>, (2015) Fusion Engineering and Design, 96-97, pp. 765-768<\/li>\n\n\n\n
    52. Murari, A., Peluso, E., Gelfusa, M., Lupelli, I., Gaudio, P., A new approach to the formulation and validation of scaling expressions for plasma confinement in tokamaks<\/em>, (2015) Nuclear Fusion, 55 (7), art. no. 073009<\/li>\n\n\n\n
    53. Peluso, E., Gelfusa, M., Murari, A., Lupelli, I., Gaudio, P., A statistical analysis of the scaling laws for the confinement time distinguishing between core and edge<\/em>, (2015) Physics Procedia, 62, pp. 113-117<\/li>\n\n\n\n
    54. Murari, A., Peluso, E., Gelfusa, M., Lungaroni, M., Gaudio, P., How to handle error bars in symbolic regression for data mining in scientific applications<\/em>, (2015) Lecture Notes in Computer Science, 9047, pp. 347-355<\/li>\n\n\n\n
    55. Murari, A., Peluso, E., Gelfusa, M., Lupelli, I., Lungaroni, M., Gaudio, P., Symbolic regression via genetic programming for data driven derivation of confinement scaling laws without any assumption on their mathematical form<\/em>, (2015) Plasma Physics and Controlled Fusion, 57 (1), art. no. 014008<\/li>\n\n\n\n
    56. Malizia, A., Gelfusa, M., Francia, G., Boccitto, M., Del Vecchio, M., Di Giovanni, D., Richetta, M., Bellecci, C., Gaudio, P., Design of a new experimental facility to reproduce LOVA and LOCA consequences on dust resuspension<\/em>, (2015) Fusion Engineering and Design, 98-99, pp. 2191-2195<\/li>\n\n\n\n
    57. Gaudio, P., Malizia, A., Camplani, M., Barbato, F., Antonelli, L., Gelfusa, M., Del Vecchio, M., Salgado, L., Bellecci, C., Richetta, M., Shadowgraph technique applied to STARDUST facility for dust tracking: First results<\/em>, (2015) Physics Procedia, 62, pp. 97-101<\/li>\n\n\n\n
    58. Ludovici, G.M., Gabbarini, V., Cenciarelli, O., Malizia, A., Tamburrini, A., Pietropaoli, S., Carestia, M., Gelfusa, M., Sassolini, A., Di Giovanni, D., Palombi, L., Bellecci, C., Gaudio, P., A review of techniques for the detection of biological warfare agents<\/em>,(2015) Defence S and T Technical Bulletin, 8 (1), pp. 17-26<\/li>\n<\/ol>\n","protected":false},"featured_media":0,"template":"","meta":{"site-sidebar-layout":"default","site-content-layout":"default","ast-global-header-display":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":""},"categories":[14,19],"class_list":["post-6311","user_card","type-user_card","status-publish","hentry","category-members-of-italian-universities","category-members-of-italian-universities-others"],"_links":{"self":[{"href":"https:\/\/www-2023.phdindustrialengineering.uniroma2.it\/index.php?rest_route=\/wp\/v2\/user_card\/6311","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www-2023.phdindustrialengineering.uniroma2.it\/index.php?rest_route=\/wp\/v2\/user_card"}],"about":[{"href":"https:\/\/www-2023.phdindustrialengineering.uniroma2.it\/index.php?rest_route=\/wp\/v2\/types\/user_card"}],"wp:attachment":[{"href":"https:\/\/www-2023.phdindustrialengineering.uniroma2.it\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6311"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www-2023.phdindustrialengineering.uniroma2.it\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6311"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}