STEFANO GIAGU

Lezioni secondo semestre 2024/2025: dettagli disponibili sul sito web del docente: link 

Teaching 2nd semester 2024/2025: details on the faculty web site: link

Curriculum Vitae Prof. Stefano Giagu

I: Education:
1997: PhD (Dottorato) in Physics, Sapienza Università di Roma
1992: Master Degree (Laurea) in Physics, Sapienza Università di Roma

II: Employment & Academic Career:
Currently: Full Professor, Dipartimento di Fisica, Sapienza Università di Roma.
2011-2022: Associated Professor, dipartimento fisica, Sapienza Università di Roma.
1999-2011: Assistant Professor (Ricercatore), dipartimento fisica, Sapienza Università di Roma.
2001-2004: Associate Scientist at Fermi National Accelerator Laboratory (FNAL), Batavia-USA (3 years).
1997-1999: Post-doc fellow Istituto Nazionale Fisica Nucleare (2 years).
1993-1994: Junior fellow Istituto Nazionale Fisica Nucleare (1 year).

III: Scientific Coordination Appointments:
2025-current: President of the National Committee 1 of INFN (Particle Physics)
2025-current: co-chair of AI subgroup of the European Strategy for Particle Physics update
2019-2025: PI of the International Project MUCCA: Multi-disciplinary Use Cases for Convergent new Approaches to AI explainability
2023-2025: Team Leader of the ATLAS group at Sapienza University of Rome and INFN Sezione di Roma
2019-2023: National Coordinator of the ATLAS Collaboration
2020-today: Member of the Steering Committee for the new degree course (Laurea) in Scienze Matematiche per l’Intelligenza Artificiale at Sapienza University of Rome
2022-today: Local coordinator of the INFN CSN5 project HYDRA2
2019-today: Local coordinator of the INFN CSN5 project ML_INFN
2016-2019: Coordinator Istituto Nazionale Fisica Nucleare (INFN) for Rome section in the INFN Commissione
Scientifica Nazionale 1;
2017-2018: DarlSide-20k experiment Management Board member
2016-today: Theory hot-spot for the ATLAS experiment at CERN for Hidden/Dark-sector New Physics
models
2017-2018: Coordinator of the Software and Science Simulation group of the DarkSide-20k experiment
collaboration;
2014-2017: Deputy Team Leader Roma-1 gruppo ATLAS al CERN;
2015-2017: Coordinator of the Unconventional and exotic Higgs decays physics group of the ATLAS
experiment at CERN;
2013-2016: Member of the Publication Committee of the ATLAS experiment (2 years);
2010-2012: Physics Coordinator of the ATLAS-Italia collaboration (2 years);
2009-2017: Coordinator of the Physics activities of the ATLAS group in Rome (8 years);
2009-2013: Coordinator of the Exotic Physics Trigger group of the ATLAS experiment at CERN (3 years);
2010-2011: Coordinator of the Long Lived Particles group of the ATLAS experiment at CERN (2 years)
2009-2010: Coordinator of the Physics Analysis Tools group of the ATLAS experiment at CERN (2 years);
2005-2006: Physics Coordinator of the B-Physics group of the CDF Experiment at FNAL (USA) (2 years);
2000-2004: Coordinator of the Flavor Tagging and fully hadronic B decays groups of the CDF Experiment
at FNAL (USA) (4 years);
1995-1999: Responsible of the Supersymmetric processes Monte Carlo generator group of the L3
experiment at CERN.

IV: Referee/Reviewer Appointments:
2020-current: Member of the editorial board of MDPI Particles
2009-current: Reviewer JHEP, MDPI-Particles, Elsevier-Pattern Recognition, MDPI-AI, Physics Letter B, Review in Physics, EPJD, Springer-EPJC, Nuovo Cimento, Journal of Instumentation
2018-today: INFN Referee for Marie-Curie fellowship;
2017: Referee MIUR Programma per Giovani Ricercatori "Rita Levi Montalcini";
2018: Reviewer for grant proposal for the National Science Center, Poland
2014-today: Referee experiment PADME for INFN Commissione 1;
2016-2020: Referee experiment BELLE-II for INFN Commissione 1;
2016-today: Referee experiment KLOE-2 for INFN Commissione 1;
2013: Referee for MIUR progetti Futuro in Ricerca 2013;

V: Other Appointments:
2025-current: Member of International Neural Network Society
2024-current: Fellow of EuCAIF
2025-current: Member of ELLISS
2021-current: Member of FAIR
2015-current: Member of the Società Italiana di Fisica
2024-current: Member of the Executive Board and of the PhD Committee of the Dottorato nazionale in Tecnologie per la ricerca fondamentale in Fisica e Astrofisica
2022-current: Member of the PhD Committee of the National PhD in AI (Campus Biomedico)
2018-2024: Member of the Comitato del Centro InfoSapienza, per il triennio 2018-2021, Sapienza
Università di Roma
2014-2023: Referente locale per la Sicurezza, dipartimento di fisica, Sapienza Università di Roma
2013-2015: Member of the Giunta Facoltà Scienze Matematiche, Fisiche e Naturali, Sapienza Università di
Roma (3 years);
2012-today: Member of the Consiglio di Dottorato Di Ricerca in Fisica Sperimentale at Università
degli Studi di Siena;

VI: Outreach and Science Communication:
2025: Public Lecture “A Pint of Science 2025”, AI from ChatGPT to Scientifc Research
2024 Seminar for secondary school teachers: L’AI un ponte trasversale nell’insegnamento delle scienze matematiche, fisiche e naturali – Congresso Mathesis 2024;
2024: Public seminar: Nobel Unfolded – AISF Roma Sapienza 2024;
2023: Secondary school teachers Seminar: AI, ML, DL in 60’ : An Introduction to Artificial Intelligence, Incontri di Fisica 2023, LNF;
2023: DeepLearn 2023 Summer School – lecturer course: “Quantum Machine Learning on Parameterized Quantum Circuits”;
2019: Writer and editor of the Volume 27 of the Asymmetry Magazine of INFN (article: The Artificial Intelligence Algorithms);
2018-2020: Participation in the Art & science across Italy outreach project
2018: General public seminar: “Introduction to Machine Learning and Artificial Intelligence”,
Seminars Of Computational Science, Kitsune Research Project, 29 Novembre 2018,
Sapienza UoR.
2018: General public Seminar: “L'intelligenza artificiale e il futuro del lavoro”, Festival Science
Connection Project, 30 Maggio 2018, Sapienza UoR.
2013-2018: Teacher preparatory courses for high school students for the Olimpiadi della Fisica
OLIFIS (second level and national race);
2016: General public seminar for high school students on Dark Matter (25 Maggio, Convitto
Nazionale, Roma);
2007-2010: CERN Guide for teachers and students visits;
2006: Scientist at Notte Eurpoea della Ricerca (scuderie del Quirinale).

VII: Grants:
Obtained funding as Principal Investigator for ~4.2 MEuros (~2.3 MEuros as PI) in the last 6 years

VIII: Research Activity:
Since 1989, my scientific activity has focused on the experimental investigation of the nature of fundamental interactions, mainly through participation in the design and execution of major international experiments: L3 at the LEP e⁺e⁻ collider (1989–2000), CDF at the Tevatron p–p ̄ collider (1999–2012), ATLAS at the LHC pp collider (2006–present), the DarkSide experiment at the INFN Gran Sasso National Laboratories (2014–2018), and studies for future colliders (FCC-ee and the IDEA detector concept).

In parallel and in synergy with this activity, since the mid-1990s I have been deeply involved both in the experimental application and in the development of modern Machine Learning, Deep Learning, and Artificial Intelligence techniques, across various research and applied domains: high-energy and astroparticle physics, medical and health applications, eco-epidemiological modeling, quantum computing, and statistical physics.

In my research work, I have contributed personally and substantially to three of the most important achievements in fundamental physics of the past 20 years:
• the discovery of the Higgs boson at the LHC (2011–2012),
• the first observation of Bs meson mixing at the Tevatron (early 2000s),
• the precise determination of the number of light neutrino families at LEP (1990–1995).

I have also made significant contributions to the development and understanding of modern approaches to AI interpretability and explainability, and I have been among the pioneers in designing AI methods for ultra-fast inference in real-time applications.

Throughout my career, I have played a major role in both the advancement of particle physics and the integration of AI and data-driven methodologies in fundamental and applied research. I have also been at the forefront of developing physics-inspired AI algorithms for solving complex computational problems such as graph coloring and Boolean satisfiability (SAT).

I’m author of more than 2000 scientific papers published in peer reviewed international journals (2096 refereed papers, database Scopus, April 12th, 2025). I have been among the main authors and substantially contributed to the results and the writing of the paper for more than 200 of these publications, and for a similar number I have heavily contributed at the reported results with physics studies or by the development of analysis, and/or theoretical, and/or computational tools presented or extensively used in the result.

supervisor of 23 PhD student thesis in Physics and AI (list provided at the end of this document)
supervisor of 77 Master-degree student thesis in Physics and AI (list provided at the end of this document)
supervisor of more than 70 Bachelor-degree thesis in Physics and AI
supervisor of several post-doctoral students and summer students at CERN (CH), and Fermilab (USA)

IX: selected publication:

Physics Briefing Book: Input for the 2026 update of the European Strategy for Particle Physics, J. de Blas et al, arXiv:2511.03883 [hep-ex]

Predicting unknown viral hosts with Dynamic Positive-Unlabeled learning, G. Pignalberi, A. Tonelli, S. Giagu, M. Di marco, preprint https://doi.org/10.21203/rs.3.rs-7187859/v1 2025, (submitted to Nature Comm.)

Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection, D. Genovese, A. Sgroi, A. Devoto, S. Valentine, L. Wood, C. Sebastiani, S. Giagu, M. D'Onofrio, S. Scardapane, Scientific Reports, 15, pp. 1-13, 2025

Integrating ChatGPT-4: A Novel XAI Interface for Enhanced Clinician Understanding of MRI Image Segmentation Results, G. Grillo, T. Torda, C. Voena, A. Ciardiello, S. Giagu, 2024 IEEE 37th International Symposium on Computer-Based Medical Systems (CBMS)

Efficient Graph Coloring with Neural Networks: A Physics-Inspired Approach for Large Graphs, L, Colantonio, A. Cacioppo, F. Scarpati, S. GiaguarXiv:2408.01503 [cs.LG] 2024 (submitted to Machine
Intelligence)

Long-Lived Particles Anomaly Detection with Parametrized Quantum Circuits S. Bordoni, D. Stanev, T. Santantionio, and S. Giagu, Particles 2023, 6(1), 297-311 (2023)

Tau Lepton Identification with Graph Neural Networks at Future Electron–Positron Colliders S. Giagu, L. Torresi, M. Di Filippo, Front. Phys., 19 July 2022, Volume 10 – 2022

Model compression and simplification pipelines for fast deep neural network inference in FPGAs in HEP, S. Francescato, S. Giagu, F. Riti, G. Russo, L. Sabetta, F. Tortonesi, Eur. Phys. J. C 81, 969 (2021)

Searching for long-lived particles beyond the Standard Model at the Large Hadron Collider, ATLAS Collaboration, J. Phys. G: Nucl. Part. Phys. 47 (2020) 090501

WIMP Dark Matter Searches With the ATLAS Detector at the LHC, S. Giagu, Front. Phys. 7:75 (2019)

Observation of a new particle in the search for the Standard Model Higgs boson with the ATLAS detector at the LHC, ATLAS Collaboration. Jul 2012. 29 pp., Published in Phys.Lett. B716 (2012) 1-29 and
Science/Nature Volume: 338 Issue: 6114 Pages: 1576-1582

Observation of B0s−B¯0s Oscillations, CDF Collaboration. Sep 2006. 9 pp., Published in Phys.Rev.Lett. 97 (2006) 242003

Precision electroweak measurements on the Z resonance, ALEPH and DELPHI and L3 and OPAL and SLD and LEP Electroweak Working Group and SLD Electroweak Group and SLD Heavy Flavour Group Collaborations. Sep 2005. 302 pp., Published in Phys.Rept. 427 (2006) 257-454

X: Teaching activities and student supervision:

Courses:
- Advanced Machine Learning for Physcis - 2021-2025
- Detectors and Accelerators for Particle Physics - Physics MD 2019-2022
- Methods of Artificial Intelligence and Machine Learning in Physics and Applicazioni Fisiche al ML, BSc (Physics and SMIA) 2019-2025
- Electromagnetism for Physics Students (Bachelor): 2011-2019
- Introduction to Artificial Intelligence and Machine Learning: 2018-19 Scuola Superiore Studi Avanzati Sapienza Università di Roma
- Artificial Intelligence and Machine Learning for PhD Students in Physics (PhD): from 2012 to 2019 (7 years)
- Advanced Analysis Techniques in High Energy Physics for PhD Students in Physics: 2008 to 2011 (4 years)
- General Phyiscs 1 for students in Chemics and Industrial Chemics (Bachelor): 2012/13, 2013/14 (2 years)
- General Physics for students in Biology (Bachelor): 2009/10, 2010/11 (2 years)
- 1999-2009: assistant to several laboratory and exercise classrooms for students in Physics

XI: Society memberships and Awards:

Award for “Excellent Teaching” from the department of of Natural, Mathematic and Physics Sciences at Sapienza Università di Roma (5% most voted teachers for all students of sciences at Sapienza), year 2019
Award for “Excellent Teaching” from the department of of Natural, Mathematic and Physics Sciences at Sapienza Università di Roma (5% most voted teachers for all students of sciences at Sapienza), year 2017
Recipient of the Breakthrough Prize in Foundamental Physics 2025 with the colleagues of the LHC collaborations
EPS 2013 High Energy and Particle Physics Prize with the ATLAS and CMS collaborations, "for the discovery of a Higgs boson, as predicted by the Brout-Englert-Higgs mechanism".\
Memeber of the Italian Society of Physics (SIF)

XII: Seminar and conference talks:
1. New methods for the estimation of the background in proportional counters used in spacecraft experiments – contributed talk at SPIE Conference (San Diego, USA, 1992);
2. Measurement of the number of Neutrino Families with single photon method with the L3 experiment at LEP – invited plenary talk at GeLEP (Genova, IT, 1995);
3. Single Photon Physics with L3 experiment at LEP – contributed talk APS05 (Washington DC, USA, 1995);
4. Search for Supersymmetric particles with the L3 detector at LEP – invited talk at DPF06 (Minneapolis, USA, 1996);
5. Search for SUSY at LEP – invited plenary talk at Pi-LEP (Pisa, IT, 1997);
6. The CDF TOF system and B flavor tagging in CDF – invited plenary talk at BEAUTY 2002 (Santiago de Compostela,
Spain, 2002);
7. Heavy Flavor Physics at CDF – invited plenary talk at the symposium “ To B or not to B?”, Commissione Nazionale 1
INFN (Frascati, IT, 2003);
8. New results from Heavy Flavor Physics at CDF – invited seminar, Physics Department University of Rome (Roma, IT,
2003);
9. Charm and Beauty Physics at CDF – invited HEP seminar, University of Wisconsin (Madison, USA, 2003);
10. Results on CP Violation from CDF – contributed talk HEP-EuroPhysics EPS03 (Aachen, Germany, 2003);
11. Charm and Beauty Physics - invited lessons at 8th Hellenic School on Elementary Particle Physics (Corfu, GR, 2005);
12. Charm and Beauty Physics at the Tevatron Collider - invited plenary talk at Frontier Science (Milano, IT, 2005);
13. Il Triangolo di unitarietà all’inizio dell’era LHC: abbiamo capito tutto?, - thematic seminar (in italian) on the scientific
activities in the Rome Dep. of Physics (Roma, IT, 2006);
14. Strategies for B and charm physics at Tevatron - close-out talk at the CDF collaboration week, (Isola D’Elba, IT, 2006);
15. - Measurement of the frequency of the flavor oscillations of Bs meson”- invited department seminar, Univ. of Rome,
(Roma, IT, 2006);
16. Bs mixing measurement at CDF - invited talk at ICHEP 2006, (Moscow, Russia, 2006);
17. New Physics with Bs - invited plenary talk at C2CR07, (lake Tahoe, USA, 2007);
18. Heavy B Hadrons - invited plenary talk at Physics In Collisions 2008, (Perugia, IT, 2008);
19. Search for long lived particles in ATLAS and CMS - contributed talk at ICHEP 2008 (Philadelphia, USA, 2008);
20. Results from the ATLAS experiment at LHC: Mass 2011 conference (Odense, DK, 2011).
21. Standard Model and Higgs physics at LHC: seminar at the “pomeriggi tematici INFN” (Roma, IT, 2011).
22. Exotic searched in ATLAS, invited talk at Interpreting LHC discoveries Conference at GGI (Florence, IT, 2011)
23. ATLAS Results on the search for the Higgs boson: Department seminar Sapienza Univ. of Rome (Rome, IT, 2011)
24. Stato della ricerca del bosone di Higgs con l’esperimento ATLAS a LHC, Seminario Sezione INFN Roma1 (Roma,
22.12.2011)
25. Risultati Recenti Esperimento ATLAS a LHC, invited talk Società Italiana di Fisica XCVIII Congresso Nazionale (Napoli,
17.9.2012)
26. Beyond the Pure State Hypothesis: Higgs to ZZ tensor vertex structure, invited talk ATLAS Higgs Workshop (Orsay, FR,
11.10.2012)
27. Misura delle proprietà del bosone di Higgs, invited talk, Workshop ATLAS Italia (Lecce, 23.10.2012)
28. Exotic Higgs decays at ATLAS, Dark Interactions Workshop 2014 (Brookhaven National Laboratory, USA, 11-13.6.2014)
29. Long-lived particles searches at hadron colliders, invited talk, International conference DHPF2014 (Messina, IT, 24-
26.9.2014)
30. Particelle esotiche con lunga vita media messaggere di effetti di nuova fisica: stato delle ricerche con l'esperimento ATLAS
a LHC, Seminario INFN-Fisica Particelle Elementari (Roma, IT, 23.2.2015)
31. Search for long-lived particles at LHC, invited talk, International Workshop Light Dark Matter search@Accelerators
(LDMA2015) (Camogli, IT, 24-26.6.2015)
32. Long Lived Particles at ATLAS, LHC Long Lived Particle Workshop, invited talk (CERN, May 12 2016)
33. Higgs and New Physics at ATLAS and CMS, invited talk, 55th. International Winter Meeting on Nuclear Physics (Bormio, IT, 23-27.1.2017)
34. Results on flavor anomalies at ATLAS and CMS, ALPS 2018 Conference (Obergurgl, AUS, 15-20.4.2018)
35. L'intelligenza artificiale e il futuro del lavoro, Festival Science Connection Project, 30 Maggio 2018, Sapienza UoR
36. Introduction to Machine Learning and Artifical Intelligence”, Seminars of Computational Science, Kitsune Research
Project, 29 Novembre 2018, Sapienza UoR.
37. ATLAS Searches and plans for signals from DarkSectors Models, LHC DM Open Workshop (CERN, 23.6.2018)
38. ATLAS results overview with focus on Dark Matter, Dark Matter and Weak Interaction Conference (DARKWIN) (Natal,
BR, 2-13.9.2019)
39. Fast and resource-efficient Deep NN on FPGAs for the Phase-II L0 Muon Barrel Trigger of the ATLAS Experiment, 24th
International Conference on Computing in High Energy and Nuclear Physics (CHEP2019) (Adelaide, AU, 4-8.11.2019)
40. Tau Identification in the dual-readaout calorimeter, talk at 4th FCC Physics and Experiment Workshop 2020 (Online,
13.11.2020)
41. Artificial Neural Networks, principles and common architectures, Invited Seminar at the 1st ML_INFN Hackathon (Online,
June 2021)
42. Model Compression and Simplification Pipelines for fast Deep Neural Network inference in FPGAs in HEP, talk at
Offshell 2021 (Online, July 2021)
43. Searches for BSM physics using challenging and long-lived signatures with the ATLAS detector, talk at SUSY 2021
(August 23-28, 2021, China/online)
44. AI-aided tau Identification and reconstruction in the dual-readaout calorimeter of IDEA, invited talk at the International
workshop on the high energy Circular Electron-Positron Collider (Nanjing, CN, 11.11.2021)
45. Artificial Neural Networks, principles and common architectures, Invited Seminar at the 2nd ML_INFN Hackathon
(Online, December 2021)
46. Transformers, Invited Seminar at the 3rd ML_INFN Advanced Hackathon (Bari, novembre, 2022)
47. Explainable AI in Physics and applied Physics, Experimental seminars in Particle Physics (Milano Bicocca,
Novembre, 2022)
48. Transformers, Invited Seminar at the 5th ML_INFN Advanced Hackathon (Pisa, November 2023)
49. AI, ML, DL in 60’: An Introduction to Artificial Intelligence, seminar at Incontri di Fisica 2023, LNF (Frascati,
November 2023)
50. Quantum Computation for High Energy Physics, Invited Talk at ICHEPAP 2023 (Kolkata, December 2023)
51. Quantum Computation for High Energy Physics, Pomeriggio Tematico Quantum – INFN Roma (Roma, gennaio
2024)
52. Intelligenza Artificiale e Scienze Naturali, Incontro “L’intelligenza artificiale all’incrocio dei saperi”, Fondazione
Sapienza (Roma, Febbraio 2024)
53. Quantum Computation, TCS GARR – Consortium GARR (Roma, March 2024)
54. Nobel Unfolded – AISF Roma Sapienza – (Roma, ottobre 23rd, 2024)
55. Intelligenza Artificiale e Drug Discovery – Nuove Frontiere in Medicina – Fondazione Roma Sapienza – (Roma,
Ottobre 8th, 2024)
56. L’AI un ponte trasversale nell’insegnamento delle scienze matematiche, fisiche e naturali – Congresso Mathesis
2024 – (Fiumicino, ottobre 26th, 2024)
57. Quantum Machine Learning, Invited Seminar at the 1st AI_INFN Advanced Hackathon (Padova, November 2024)
58. Latest and near-future physics highlights from the ATLAS experiment – BCVSPIN 2024 Conference (Kathmandu,
Dec. 10th, 2024)
59. Intelligenza Artificiale e Drug Discovery – Intelligenza Artificiale Come Motore di Scoperta nella Ricerca
Biomedica – Istituto Superiore Sanità – (Roma, dicembre 17th, 2024)

XII: Organisation of conferences/work-shops:
Chair organising committee: “CDF Experiment Heavy Flavor Trigger Workshop”, (FNAL, USA, 2003)
Co-chair session of Flavor Physics ICHEP04 (Beijing, China, 2004);
Co-chair session of Flavor Physics IFAE06 (Pavia, IT, 2006);
Organising committee of the CKM08, (Roma, IT, 2008);
Organising committee of the IFAE 2010 (Roma, IT, 2010).
Chair of the organising committee of the ATLAS Physics Analysis Workshop (CERN 29.9.2010)
Chair of the organising committee of the ATLAS Workshop on Long Lived Particles (Roma, 7-8.4.2011)
Organising committee ATLAS Italia annual Workshops from 2011 to 2020;
Organising committee ATLAS Workshop on Searching for Exotic Hidden Signatures with ATLAS in LHC Run2 (Cosenza, February 9-11 2016)
Organising committee LHC Long Lived Particle Workshop (CERN, May 12 2016)
Organising committee Search for Long Lived Particles at LHC Workshop (CERN, April 24-26 2017)
Organising committee and local organiser of the ATLAS Exotic Workshop in Rome (Rome, IT, May 2018)
Member of the organizing committee and local organisers of the ATLAS Italy Young Physics Workshop (Online, Sep
2021)
Member of the organizing committee of the ATLAS Italy Workshop 2022 (Pisa, June 2022)
Co-organizer of the INFN Sezione di Roma Retreat workshop 2022, (Assisi, June 2022)
Member of the Organizing Committee Symposium for the 100 years since the birth of Bruno Touschek, at Sapienza,
Laboratori Nazionali Frascati, and Accademia dei Lincei (Rome, IT, Dec 2021)
Member of the Organizing Committee Symposium for the 100 years since the birth of Bruno Touschek, at Sapienza,
Laboratori Nazionali Frascati, and Accademia dei Lincei (Rome, IT, Dec 2021)
Member of the Organizing CommitteeInternational Conference SM@LHC 2024 (Rome, IT, 2024)
Member of the Organizing Committee Symposium Rise of Particle Physics (Rome, IT, 2024)

XIV: Degree Thesis Supervised:
1. Dr. S. Vallecorsa: “Reconstruction of D meson decays in fully hadronic final state with the CDF detector” (Roma, 2001);
2. Dr. G. Salamanna: “TOF resolution studies using muons from J/psi” (Roma, 2003);
3. Dr. C. Maiani: “Tuning of the Level-2 muon isolation triggers in ATLAS” (Roma, 2008);
4. Dr. V. Rossetti: “Trigger per la selezione di eventi con particelle esotiche neutre a lunga vita nell'esperimento Atlas” (Roma, 2008)
5. Dr. G. Artoni: “Studio di algoritmi per la reiezione di muoni dai decadimenti di π e K al secondo livello del trigger dei muoni del rivelatore ATLAS a LHC” (Roma, 2009);
6. Dr. V. Ippolito: “Reconstruction of J/psi→μμ with the ATLAS detector” (Roma, 2009);
7. Dr, M. Bettiol: “Search for LeptonJets in the h→γdγd→4μ decay mode with ATLAS at LHC” (Roma, 2010);
8. Dr. E. Benhar Noccioli: “Studio e messa a punto delle prestazioni dell’algoritmo di ricostruzione di muoni combinati al secondo livello di trigger dell’epserimento ATLAS” (Roma, 2010);
9. Dr. V. Candelise: “Studio e messa a punto delle prestazioni dell’algoritmo di ricostruzione muonica e di isolamento al secondo livello di trigger dell’esperimento ATLAS” (Roma, 2010);
10. Dr. P. Pani: “Ricerca del segnale protone-antiprotone -> WZ -> lnu bbbar con l'esperimento CDF al Tevatron” (Roma, 2011)
11. Dr. A. Castelli: “Search for Hidden Valley decays in LeptonJets” (Roma, 2011);
12. Dr. A. Gabrielli: “Ricerca del bosone di Higgs in modelli Hidden Valley con l’esperimento ATLAS a LHC” (Roma, 2011);
13. Dr. S. Mariani: “Misura della vita media degli adroni con b-quark nei canali di decadimento J/ψ→μμ con il rivelatore ATLAS a LHC” (Roma, 2011);
14. Dr. I. Angelozzi: “Ottimizzazione dei criteri di isolamento muonico utilizzati nel sistema di trigger dell’esperimento ATLAS al CERN” (Roma, 2011);
15. Dr. R. Donnarumma: “Ricerca del bosone di Higgs nel canale di decadimento H→ZZ→2l2q con tecniche di analisi multivariata nell’esperimento ATLAS a LHC” (Roma, 2012);
16. Dr. G. Gustavino: “Studio della violazione di CP nel settre dell’Higgs con l’esperimento ATLAS” (Roma, 2013);
17. Dr. F. Giuli: “Ricerca di segnali da bosoni di Higgs pseudoscalari addizionali tramite l’esperimento ATLAS a LHC” (Roma, 2014);
18. Dr. L.S. Bruni: “Ricerca di un bosone di Higgs pseudoscalare nel canale di decadimento A->Zh->lltautau con l’esperimento ATLAS a LHC” (Roma, 2014);
19. V. Di Cicco: “Misura della massa del Bosone di Higgs nel canale di decadimento H->gammagamma con l'esperimento ATLAS a LHC” (dissertazione laurea triennale, Roma, 2014)
20. Dr. V. Fabiani: “Ricerca di Materia Oscura in eventi con jet adronici ed energia trasversa mancante con l’esperimento ATLAS a LHC” (Roma, 2015);
21. Dr. C. Sebsatiani: “Ricerca di Materia Oscura in topologie mono-jet con techniche multivariate di analisi con l’esperimento ATLAS a LHC” (Roma, 2016);
22. Dr. S. Francescato: “Search for new phenomena in dijet mass and angular distributions from pp collisions at √s = 13 TeV with the ATLAS detector” (Roma, 2017);
23. G. Frattari: “Ricerca di Materia Oscura in topologie mono-jet con l’esperimento ATLAS” (Roma, 2018)
24. L. Sabetta: “Sviluppo di Deep Neural Network su FPGA per il trigger muonico dell’esperimento ATLAS” (Roma, 2018)
25. I. Longarini: “Simulazione veloce di Jet adronici con Generative Adversial Networks” (Roma, 2018)
26. F. Luzi: “Ricerca di nuove particelle a lunga vita media predette in modelli con settori nascosti” (Roma, 2019)
27. L. Badiali: “Reinforcement Learning visuale con goal autogenerati e applicazioni fisiche” (Roma, 2019)
28. A. Sbandi: “Deep variational Autoencoders for denoising of MRI images with 19F” (Roma, 2019)
29. G. Padovano: “Search for Dark Matter through invisible decays of the Higgs boson produced in VBF processes” (Roma, 2020)
30. G. Albora: “Artificial Intelligence and Deep Learning applications for the identification of Long-Lived particles with the ATLAS detector at LHC” (Rome, 2019)
31. E. Pompa Pacchi: “Re-interpretation of the mono-Jet analysis of the ATLAS experiment in the context of Dark Sector Models” (Rome, 2020)
32. R. Mottarelli: “Search for new phenomena in dijet mass and angular distributions with the ATLAS experiment in Run2” (Roma, 2019)
33. F. Riti: “Ultra-fast Artificial Intelligence for real time reconstruction of muons in the ATLAS experiment at HL- LHC” (Rome, 2019)
34. G. Salvi: “Sviluppo algoritmi innovativi per la selezione in tempo reale (trigger) di nuove particelle neutre di lunga
vita media predette da modelli di fisica con settori nascosti con l’esperimento ATLAS a LHC” (Universitè de Geneve + Rome co-tutoring, 2019)
35. A. Lanteri: “Optimizing two-point correlation ststistics using machine learning techniques in new-generation spectroscopic surveys of galaxies” (European Space Agency + Rome co-tutoring, 2020)
36. A. Cacioppo: “Deep learning for the parameter estimation of tight-binding Hamiltonians” (Max Plank Institute for Intelligent Systems + Roma co-tutoring, 2020)
37. F. Santangelo: "Feasibility of using long-lived mono-Dark Photons signals as a probe for light Dark Matter at LHC" (Sapienza, 2020)
38. C.B. Falzi: "Studio del rumore e applicazioni di Machine Learning su immagini di Risonanza Magnetica pesate in diffusione" (Sapienza, 2020)
39. F. Morodei: “Physics driven Data Augmentation techniques for identification of displaced Jets with the ATLAS experiment at the LHC” (Sapienza, 2020)
40. S. Bordoni: “Decoding topological codes with neural networks” (Sapienza, 2020)
41. F. Tortonesi: “AI and transfer knowledge for Ultra-fast Artificial Intelligence in real time systems in HEP” (Sapienza, 2021)
42. L. Torresi: “AI for tau identification in the IDEA dual readout calorimeter” (Sapienza, 2021)
43. G. Tuttobene: “Applications of Generative Deep Learning methods to low energy nuclear interaction models” (Sapienza, 2021)
44. E. Agrimi: "Prognosis and optimization of COVID-19 therapy through AI-driven analysis of CT and clinical data", (Sapienza, 2021)
45. L. Rossi: “Emulate a low energy nuclear interaction model with Deep Learning” (Sapienza, 2021)
46. L.Serra: "Sviluppo di procedure innovative per la selezione di feature radiomiche robuste", (Sapienza, October 2021)
47. G. Russo: "Development and study of the performances of novel algorithms on FPGAs for muon reconstruction and identification in the ATLAS L0 Muon Barrel Trigger" (Sapienza, October 2021)
48. L. Rambelli: "Sviluppo e test di un dimostratore per algoritmi di trigger di alto livello basati su DeepNN su acceleratori commerciali SoCs e ACAPs su schede PCIe per il Run-3 dell'esperimento ATLAS a LHC" (Sapienza, October 2021)
49. M. Di Filippo: "Sviluppo di un Deep Neural Network per l'identificazione del leptone tau nel calorimetro dual- readout e misura della sua polarizzazione in un futuro collider e+e-" (Sapienza, 2021)
50. L. Ceccarelli: "Sviluppi teorici in topological quantum field theory e sviluppo di nuovi algoritmi per l'encoding topologico di informazioni basati su quantum neural network, e applicazioni allo studio di materiali topologici ", (Sapienza, 2021)
51. H. Bouzidi: "Innovative denoising algorithms based on DNN for MRI imaging", (Sapienza, October 2021)
52. J. P. Oommen: "Recasting framework for the Displaced Dark Photon analysis of the ATLAS experiment and reinterpretation in different new physics models" (Sapienza, ongoing)
53. M. Ciacchi: “Point Cloud Graph CNN and analysis of spin glass systems” (Sapienza, Jan. 2022)
54. L. Di Fruscia: "Graph Neural Network per la prognosi e la simulazione funzionale e della fluidodinamica in sistemi respiratori di pazienti affetti da covid-19", (Roma, Sep 2022)
55. D. Fiacco: "Algoritmi basati su deep learning geometrico per l'identificazione di leptoni tau nell'esperimento
ATLAS", (Roma, July 2022)
56. A. Baiocchi: "Studio di algoritmi di Deep Learning basati su Graph Neural Network per la classificazione e la ricomposizione di oggetti solidi divisi in frammenti", (Roma, October 2022)
57. L. Nicoletti: "Explainable AI for interpretable Deep Learning mod- els in a High-Energy Physics use-case with efficient muonic particles pattern recognition", in collaborazione con il gruppo del Prof. Christian Napoli at DIET (Roma, MD in Artificial Intelligence and robotics, 2022)
58. D. Fiacco: "Algoritmi basati su deep learning geometrico per l'identificazione di leptoni tau nell'esperimento ATLAS", (Sapienza, 2022)
59. T. Santantonio: "Variational quantum circuits for anomaly detection", (Roma, 2023)
60. G. Caradonna: "Applying Graph Networks-based Simulators to pre- dict the dynamics of glassy systems ", (Roma, 2023)
61. E. Cassetta: "Artificial Intelligence for non-linear spectroscopy", (Sapienza, 2023)
62. N. Stocchetti: "Long-lived particles Anomaly Detection AI algorithms for the ATLAS Muon High Level Trigger at HL-LHC", (Roma, 2023)
63. L. Colantonio: "Quantum Diffusion generative models on variational quantum circuits", (Roma, 2023)
64. A. Shokry: "Exlanatory Learning application in QFT", in collaborazione con il gruppo di E. Rodolà CS department, (Roma, 2023)
65. M. Errico: "Development and study of the performances of novel algorithms on FPGAs for muon reconstruction and identification in the ATLAS L0 Muon Barrel Trigger", (Roma, 2024)
66. B. Ricci: "Dark sector searches in final states with prompt neutral particles with the ATLAS detector ", (Roma, 2023)
67. P. Buttarini: "AI-assisted Transipilers for quantum circuits based on Reinforcment Learning", (Roma, 2023)
68. V. Colella: "Accelerating MR Imaging with AI", (Roma, 2023)
69. L. Maglianella: "Explainable AI for interpretable Deep Learning mod- els in a High-Energy Physics use-case with
efficient muonic particles pattern recognition", in collaborazione con il gruppo del Prof. Christian Napoli at DIET (Roma, MD in Artificial Intelligence and robotics, 2023)
70. J. P. Oommen: "Recasting framework for the Displaced Dark Photon analysis of the ATLAS experiment and reinterpretation in different new physics models"m (Roma, in corso)
71. L. Polenta: "Artificial Intelligence for non-linear spectroscopy", in collaborazione con il gruppo del Prof. T. Scopigno, and Prof. Christian Napoli at DIET (Roma, MD in Artificial Intelligence and robotics, 2023)
72. M. Veith: "GNN supervised applications for Graph Colouring", (Roma, 2023)
73. E. Silvestri: "GNN unsupervised applications for Graph Colouring", (Roma, 2023)
74. F. Scarpati: “Physics Informed Graph Neural Networks for Graph Colouring", (Roma, 2024)
75. G. Pignalberi: “Applying physics-inspired machine learning methods to eco-epidemiological modelling”, (Roma, 2024)
76. M. D’Emilia: “Anomaly Detection driven search for new physics in di-boson final states with the ATLAS detector at the LHC”, (Roma, 2025)
77. M.L. Boccanelli, “Fully Quantum Diffusion Models”, (Roma, 2025)
78. N. Campioni, “Quantum Algorithms on systems of analog qubits”, (Roma, ongoing)
79. E. Murano, “Physics Inspired AI for Community Detection problems”, (Roma, ongoing)
80. F. Di Bartolomeo, “Physics Inspired GNNs for complex graph analysis”, (Roma, ongoing)

XV: PhD Thesis Supervised
1. Dr. S. De Cecco: “Measurement of relative branching fractions for D0 meson Cabibbo supressed hadronic decays, from the CDF secondary vertex trigger sample at the Tevatron collider” (Roma, 2003);
2. Dr. K. Giolo: “B meson lifetimes determination in fully hadronic decays” (Purdue USA, 2005);
3. Dr. M. Donegà: “Measurement of the lifetime and ΔΓs of the Bs meson in the decay mode Bs→hh, with the CDF detector” (Ginevra, 2005);
4. Dr. G. Salamanna: “Measurement of Bs oscillations at CDF” (Roma, 2006);
5. Dr.ssa C. Maiani: “Production x-sections and lifetime determination of b→J/psi X→μμ X” (Roma, 2011);
6. Dr. G. Artoni: “Search for H→ZZ→4μ with the ATLAS detector” (2012);
7. Dr. V. Ippolito: “Measurement of the Higgs boson properties with the ATLAS detector” (2013);
8. Dr. G. Gustavino: “Search for New Physics in Mono-jet FInal States in pp Collisions” (Roma, 2016);
a. The work done with Gustavino won the Recognized Outstanding Ph.D Research price from Springer Editor, and has been published by Springer Nature: DOI: 10.1007/978-3-319-588871-1
9. Dr. C. Sebastiani: “Ricerca di nuove particelle a lunga vita media predette in modelli con settori nascosti” (Roma, 2019).
10. Dr. S. Francescato, “Search for new phenomena in dijet mass and angular distributions with the ATLAS experiment in Run2” (Roma, 2021)
11. Dr. L. Sabetta: “Ricerca di decadimenti invisibili del bosone di Higgs nel canale di produzione VBF con l’esperimento ATLAS” (Roma, 2022)
12. Dr. I. Longarini: “Ricerca di dark-photon e applicazioni in hep di DeepLearning” (Roma, 2022)
13. Dr. G. Padovano: “Standard Model precision physics with tau leptons with the ATLAS experiment at the LHC”, (Roma, 2024)
14. Dr.ssa E. Pompa Pacchi: “Dark sector searches in final states with long-lived or prompt neutral particles with the ATLAS detector and upgrade of the L0 muon trigger for HL-LHC”, (Roma, 2024)
15. Dr. T. Torda: “Interpretability and explainability IA in advanced Neural Networks for Topological Quantum Field Theory, Neuroscience and Medical Application”, (Roma, 2024)
16. Dr.ssa A. Maiuro: "Sviluppo di protocolli NMR per la diagnostica medica" (Roma, 2024)
17. Dr.ssa G. Russo: “Anomaly detection for New Physics searches at the HLC and upgrade of the L0 muon trigger for HL-LHC”, (Roma, 2025)
18. Dr. S. Bordoni: “Quantum computers as AI accelerators for quantum machine learning algorithms”, (Roma, in corso)
19. Dr.ssa G. Grillo: “Multi-disciplinary Use Cases for Convergent new Approaches to AI explainability”, (Roma, Dottorato Nazionale AI, in corso)
20. Dr. A. Cacioppo: "Generative models based on probability diffusion with parametrized quantum circuits", (Roma, in corso)
21. Dr. L. Colantonio: “Physics Informed Deep Learning Models”, (Roma, in corso)
22. Dr. Gabriele Pignalberi: “Physics Inspired Topological Graph Neural Networks”, (Roma, in corso)
23. Dr. D. Fiacco: "Study of the di-Higgs production with the ATLAS detector in the Run-3 of the LHC", (Roma, in corso)