Phd Industrial Engineering

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PHD INDUSTRIAL ENGINEERING

University of Rome "Tor Vergata"

Gelfusa Michela

Personal Information

NameMichela Gelfusa
NationalityItalian

Contact Details

AddressDepartmemnt of Industrial Engineering Rome Tor Vergata University – Via del Politecnico 1, 00133 Rome, Italy
Office LocationBuilding of Industrial Engineering, III floor, Room n. 3145
Phone39 06 72597210
Mobile39 329 1012277
Fax39 06 72597158
Emailgelfusa@ing.uniroma2.it

Languages

Native LanguageItalian
OthersEnglish
Reading skills: good
Writing skills: good
Verbal skills: good

Curriculum

Current PositionAssociate professor
EducationPh.D in Quantum Electronic and Plasma Physics – University of Rome “Tor Vergata”
Master Degree in Energy Engineering at the University of Rome “Tor Vergata
TeachingDiagnostic techniques for thermonuclear fusion reactors – 6 CFU
Web PagesResearchgate
Scientific publications
Google Scholar

Research Activities

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

Publications

  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, (2019) Review of Scientific Instruments, 90 (12), art. no. 123502
  2. Murari, A., Lungaroni, M., Peluso, E., Craciunescu, T., Gelfusa, M., A Model Falsification Approach to Learning in Non-Stationary Environments for Experimental Design, (2019) Scientific Reports, 9 (1), art. no. 17880
  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, (2019) Fusion Engineering and Design, 146, pp. 2124-2129
  4. Gelfusa, M., et al, Stray millimeter-wave radiation loads on ITER fused silica windows, (2019) Fusion Engineering and Design, 146, pp. 308-311
  5. Joffrin, E., et al, Overview of the JET preparation for deuterium-tritium operation with the ITER like-wall, (2019) Nuclear Fusion, 59 (11), art. no. 112021
  6. Murari, A., Lungaroni, M., Gelfusa, M., Peluso, E., Vega, J., Adaptive learning for disruption prediction in non-stationary conditions, (2019) Nuclear Fusion, 59 (8), art. no. 086037
  7. Ström, P., et al, Analysis of deposited layers with deuterium and impurity elements on samples from the divertor of JET with ITER-like wall, (2019) Journal of Nuclear Materials, 516, pp. 202-213.
  8. Rossi, R., Ciparisse, J.-F., Gelfusa, M., Malizia, A., Gaudio, P., The project TELEMACO: Detection, identification and concentration measurements of hazardous chemical agents, (2019) Journal of Instrumentation, 14 (3), art. no. C03004
  9. Vasilopoulou, T., et al, Improved neutron activation dosimetry for fusion, (2019) Fusion Engineering and Design, 139, pp. 109-114.
  10. Drenik, A., et al, Analysis of the outer divertor hot spot activity in the protection video camera recordings at JET, (2019) Fusion Engineering and Design, 139, pp. 115-123.
  11. Lawson, K.D., et al, Population modelling of the He II energy levels in tokamak plasmas: I. Collisional excitation model, (2019) Journal of Physics B: Atomic, Molecular and Optical Physics, 52 (4), art. no. 045001
  12. Craciunescu, T., Murari, A., Gelfusa, M., Causality detection methods applied to the investigation of malaria epidemics, (2019) Entropy, 21 (8), art. no. 784
  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, (2019) Complexity, 2019, art. no. 5986562
  14. Hatano, Y., et al, Tritium distributions on W-coated divertor tiles used in the third JET ITER-like wall campaign, (2019) Nuclear Materials and Energy, 18, pp. 258-261.
  15. Sias, G., et al , A locked mode indicator for disruption prediction on JET and ASDEX upgrade, (2019) Fusion Engineering and Design, 138, pp. 254-266.
  16. Craciunescu, T., Murari, A., Gelfusa, M., Improving entropy estimates of complex network topology for the characterization of coupling in dynamical systems, (2018) Entropy, 20 (11), art. no. 891
  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, (2018) Applied Physics B: Lasers and Optics, 124 (7), art. no. 148
  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, (2018) Review of Scientific Instruments, 89 (5), art. no. 053504
  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, (2018) Fusion Engineering and Design, 130, pp. 62-68.
  20. Rigamonti, D., et al, Neutron spectroscopy measurements of 14 MeV neutrons at unprecedented energy resolution and implications for deuterium-tritium fusion plasma diagnostics, (2018) Measurement Science and Technology, 29 (4), art. no. 045502
  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, (2018) Nuclear Fusion, 58 (5), art. no. 056002
  22. Litaudon, X., et al, 14 MeV calibration of JET neutron detectors-phase 1: Calibration and characterization of the neutron source, (2018) Nuclear Fusion, 58 (2), art. no. 026012
  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, (2018) Entropy, 20 (9), art. no. 627
  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, (2017) Nuclear Fusion, 57 (12), art. no. 126057
  25. Kazakov, Y.O, et al, Efficient generation of energetic ions in multi-ion plasmas by radio-frequency heating, (2017) Nature Physics, 13 (10), pp. 973-978.
  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, (2017) Entropy, 19 (10), art. no. 569
  27. Litaudon, X., et al, Overview of the JET results in support to ITER, (2017) Nuclear Fusion, 57 (10), art. no. 102001
  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, (2017) Physics of Plasmas, 24 (6), art. no. 062511
  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, (2017) Journal of Instrumentation, 12 (2), art. no. C02001
  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, (2017) Journal of Instrumentation, 12 (1), art. no. C01054
  31. Murari, A., Peluso, E., Gaudio, P., Gelfusa, M., Robust scaling laws for energy confinement time, including radiated fraction, in Tokamaks, (2017) Nuclear Fusion, 57 (12), art. no. 126017
  32. Murari, A., Peluso, E., Vega, J., Gelfusa, M., Lungaroni, M., Gaudio, P., Martínez, F.J., Determining the prediction limits of models and classifiers with applications for disruption prediction in JET, (2017) Nuclear Fusion, 57 (1), art. no. 016024
  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, (2017) Materials Science Forum, 879, pp. 1213-1219
  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, (2017) Defence S and T Technical Bulletin, 10 (1), pp. 1-13
  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, (2016) Optical Engineering, 55 (10), art. no. 103107
  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, (2016) Advanced Surface Engineering Materials, pp. 635-702.
  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, 11 (7), art. no. C07013
  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, (2016) Journal of Instrumentation, 11 (7), art. no. C07012..
  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, (2016) Nuclear Fusion, 56 (7), art. no. 076008
  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, (2016) Journal of Instrumentation, 11 (4), art. no. P04019.
  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, (2016) Lecture Notes in Computer Science, 9653, pp. 105-115.
  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, (2016) IET Publications, 2016 (CP704)
  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, (2016) Review of Scientific Instruments, 87 (1), art. no. 013504
  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, (2016) Modelling and Simulation in Engineering, 2016, art. no. 6271853
  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, (2015) Nuclear Fusion, 56 (2), art. no. 026005
  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, (2015) Nuclear Fusion, 56 (2), art. no. 026006
  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,(2015) Fusion Engineering and Design, 101, pp. 204-208
  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, (2015) Journal of Fusion Energy, 34 (6), pp. 1320-1330
  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’ fluorescence spectral signatures, (2015) Optical Engineering, 54 (11), art. no. 114105
  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, (2015) Journal of Fusion Energy, 34 (5), pp. 959-978
  51. Craciunescu, T., Murari, A., Gelfusa, M., Tiseanu, I., Zoita, V., Arnoux, G., Advanced methods for image registration applied to JET videos, (2015) Fusion Engineering and Design, 96-97, pp. 765-768
  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, (2015) Nuclear Fusion, 55 (7), art. no. 073009
  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, (2015) Physics Procedia, 62, pp. 113-117
  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, (2015) Lecture Notes in Computer Science, 9047, pp. 347-355
  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, (2015) Plasma Physics and Controlled Fusion, 57 (1), art. no. 014008
  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, (2015) Fusion Engineering and Design, 98-99, pp. 2191-2195
  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, (2015) Physics Procedia, 62, pp. 97-101
  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,(2015) Defence S and T Technical Bulletin, 8 (1), pp. 17-26
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