(last update: 10/20/2024)
Talks
- Invited talk at the APS 2025 Joint DNP/GHP session on AI/ML, 11th biennial meeting, talk on “Overview of AI applications in Nuclear Physics Artificial Intelligence and Machine Learning for Hadron Physics”, Anaheim, CA, April 2025
- Invited Physics Colloquium, William & Mary, November 22, 2024
- Plenary talk at the workshop “Physics Beyond the Standard Model at the Electron-Ion Collider”, talk on “Machine Learning at the EIC”, hosted at Brookhaven National Laboratory, Upton, NY, November 20-22, 2024
- Invited speaker at the 10th International Workshop on Information and Statistics in Nuclear Experiment and Theory, ISNET-10, November 11-15, 2024
- Invited Speaker at IAEA AI for Fusion Meeting, October 29-31, 2024
- Invited Speaker at Physics Fest at W&M, Nobel Inspired Public Lecture “From Physics to Machine Learning and Back to Physics”
- Plenary speaker at the Fast Machine Learning for Science Conference, which will be hosted by Purdue University from October 15-18, 2024
- Invited speaker at the joint 20th International workshop on hadron structure and spectroscopy and 5th workshop on correlations in partonic and hadronic interactions, Yerevan, Sep 30 to Oct 4, 2024
- Invited speaker at CAARI-SNEAP 2024 conference, session of nuclear physics – Artificial Intelligence – Machine Learning Advancements and Applications. Fort Worth, Texas, USA from July 21 to 26, 2024
- Invited speaker at ePIC/EICUG, report on AI WG, July 23, 2024
- Invited speaker at the RHIC-AGS user meeting that will be held in Brookhaven National Lab, talk: “AI/ML Applications for the EIC“, 6/10-14, 2024
- Invited speaker for JLab seminar at the Winter Hall C Collaboration Meeting, January 19th, 2024
- Invited speaker at the Joint ECFA-NuPECC-APPEC Activity Workshop “Synergies between the EIC and the LHC” — talk on “ML algorithms in High Energy Physics analyses”, DESY, Dec 15, 2023
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Invited speaker at Streaming Readout Workshop during Fall APS/JPS joint meeting, talk title ”Towards Uncertainty Quantification in Near Real-Time Analysis“, Maui (HI), Nov 28 to Dec 2, 2023
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Invited speaker at the workshop Probing the frontiers of nuclear physics with AI at the EIC; talk title “How uncertain your DIS events are? Event-level UQ with Bayesian DL“; CFNS, Stony Brook University, Sep 25-26, 2023
- Invited talk at EICUG2023 (Warsaw) — Report from Artificial Intelligence WG, July 26, 2023
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Invited speaker at Information and Statistics in Nuclear Experiment and Theory (ISNET), IX Workshop, Washington University in St. Louis: May 23-26, 2023
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Speaker at the 26th International Conference on Computing in High Energy and Nuclear Physics CHEP, Norfolk, VA, May 8-12, 2023
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Invited speaker on Machine Learning in Hadronic Physics at the American Physical Society, Minneapolis, Minnesota, April 15–18, 2023
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Invited contribution at SIAM Conference on Computational Science and Engineering, mini-symposium on Bayesian Optimization, Netherlands, February 26-March 3, 2023
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Invited talk on Machine Learning/Deep Learning for Cherenkov Detectors, Workshop on Kaons at CLAS12, December 13-16, 2022
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Invited talk on Machine Learning for Cherenkov detectors at the Electron Ion Collider at the HEP Software Foundation Reconstruction and SW Triggers WG, November 23, 2022
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Invited talk on AI/ML Applications from the Experimental Halls at JLab AI4HallC Town Hall Meeting at Jefferson Lab on November 18, 2022
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EIC User Group Quarterly Meeting, Update on AI4EIC, November 17, 2022; invited talk at JLab EIC Meeting, Report from AI4EIC, November 11, 2022
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Plenary talk on AI/ML for experimental QCD at the 2022 NSAC Long-Range Plan Town Hall Meeting on Hot and Cold QCD at MIT on September 23-25, 2022
- Invited talk on Adaptive Experimentation to assist the detector design of the future Electron Ion Collider at the Second MODE Workshop on Differentiable Programming for Experiment Design, Sep 12-16, 2022
- Invited talk on AI-assisted design at QNP2022 — The 9th International conference on Quarks and Nuclear Physics, Sep 5-9, online
- C. Allaire et al., Artificial Intelligence for the Electron Ion Collider (AI4EIC) – Computing and Software for Big Science 8.1 (2024): 5
- C. Fanelli, J. Giroux, ELUQuant: Event-Level Uncertainty Quantification using Physics-Informed Bayesian Neural Networks with Flow approximated Posteriors – A DIS Study – NeurIPS 2023 paper and Mach. Learn.: Sci. Technol. 5 015017
- F. Barbosa et al., Development of ML FPGA filter for particle identification and tracking in real time, IEEE Transactions on Nuclear Science, 2023
- P. Achenbach, et al., The Present and Future of QCD, Nuclear Physics A Volume 1047, July 2024, 122874
- C. Fanelli, Z. Papandreou, K. Suresh, et al., AI-assisted Optimization of the ECCE Tracking System at the Electron Ion Collider, arXiv:2205.09185v2, 2022, Nucl. Instrum. Meth. A https://doi.org/10.1016/j.nima.2022.167748
- Fanelli, C., J. Giroux, and Z. Papandreou. “Flux+ Mutability”: A Conditional Generative Approach to One-Class Classification and Anomaly Detection. arXiv:2204.08609, 2022; accepted on Mach. Learn. Sc. Technol. , https://iopscience.iop.org/article/10.1088/2632-2153/ac9bcb/pdf
- F. Ameli, et al. Streaming readout for next generation electron scattering experiments, EPJ Plus, 2022 https://link.springer.com/article/10.1140/epjp/s13360-022-03146-z
- JC Bernauer, CT Dean, C Fanelli, J Huang, K Kauder, D Lawrence et al, Scientific Computing Plan for the ECCE Detector at the Electron Ion Collider, arXiv:2205.08607, 2022, Nucl. Instr. Meth. A, Volume 1047, February 2023, 167859
- A. Boehnlein, M. Diefenthaler, C. Fanelli, et al., Machine Learning in Nuclear Physics, arXiv:2112.02309v1, Reviews of Modern Physics, 2021 https://doi.org/10.1103/RevModPhys.94.031003
- Streaming Readout of the CLAS12 Forward Tagger Using TriDAS and JANA2, arXiv:2104.11388 , 2021 https://www.epj-conferences.org/articles/epjconf/pdf/2021/05/epjconf_chep2021_04011.pdf
- Science Requirements and Detector Concepts for the Electron-Ion Collider: EIC Yellow Report, arXiv:2103.05419 (2021) Nuclear Physics A 1026 (2022): 122447. https://doi.org/10.1016/j.nuclphysa.2022.122447
- C. Fanelli, Machine Learning for Imaging Cherenkov Detectors, JINST 15 C02012, 2020 https://doi.org/10.1088/1748-0221/15/02/C02012
- C. Fanelli and J. Pomponi 2020 Mach. Learn.: Sci. Technol. 1 015010, DeepRICH: Learning Deeply Cherenkov Detectors, arXiv:1911.11717v1, 2020 https://doi.org/10.1088/2632-2153/ab845a
- D. Winney, C. Fanelli, A. Pilloni et al (Joint Physics Analysis Center), Double Polarization Observables in Pentaquark Photoproduction near Threshold, Phys. Rev. D 100, 034019, JLAB-THY- 19-3004, 2019. https://doi.org/10.1103/PhysRevD.100.034019
- D. Aloni, C. Fanelli, Y. Soreq and M. Williams, Photoproduction of axion-like particles, Phys. Rev. Lett. 123, 071801, 2019. https://doi.org/10.1103/PhysRevLett.123.071801
- The GlueX DIRC Collaboration, The GlueX DIRC detector, Nucl. Instr. Meth. Phys. Res. doi.org/10.1016/j.nima.2017.01.054 (2017). https://doi.org/10.1016/j.nima.2017.01.054
- C. Fanelli and M. Williams, Photoproduction of leptophobic bosons, J. Phys. G: Nucl. Part. Phys. 44 014002 doi:10.1088/0954-3899/44/1/014002 (2016).
- C. Fanelli, E. Pace, G. Romanelli, G. Salme’ and M. Salmistraro, Pion generalized parton distributions within a fully covariant constituent quark model, Eur. Phys. J. C (2016) 76: 253. https://doi.org/10.1140/epjc/s10052-016-4101-1
- C. Fanelli, F. Sisti and G. Stagno, Time dependent friction in a free gas, Journal of Mathematical Physics 57, 033501 (2016). https://doi.org/10.1063/1.4943013
- C. Fanelli et al. Polarization Transfer in Wide-Angle Compton Scattering and Single-Pion Photoproduction from the Proton, Phys. Rev. Lett. 115, 152001 (2015). https://doi.org/10.1103/PhysRevLett.115.152001
- The CMS Collaboration, Observation of a new boson with mass near 125 GeV in pp collisions at s = 7 TeV and 8 TeV, J. High Energ. Phys. (2013) 2013: 81.
- The CMS Collaboration, A New Boson with a Mass of 125 GeV Observed with the CMS Experiment at the Large Hadron Collider, Science 21 Dec (2012): Vol. 338, Issue 6114, pp. 1569-1575.
- The CMS Collaboration, Observation of a new boson at a mass of 125 GeV with the CMS experiment at the LHC, Physics Letters B, 716(1):30-61, (2012).
- The CMS Collaboration, Combined results of searches for the standard model Higgs boson in pp collisions at \sqrt{s}=7 TeV, Phys.Lett. B710 (2012) 26-48.
- The CMS Collaboration, Search for the standard model Higgs boson decaying into two photons in pp collisions at \sqrt{s} = 7 TeV, Phys.Lett. B710 (2012) 403-425.
- Analysis Notes: I am the author with other 90 people (the Higgs 2γ group) of the analysis note CMS AN-2011/206 on the inclusive search of the Higgs boson decaying into two photons, and the principal author with D. Del Re, P. Meridiani and S. Rahatlou of CMS AN-2011/391 on the exclusive search of the Higgs in two photons; I am also among the lead authors of the document AN-11-401 on the exclusive search of the Higgs in γγ + 2 jets. My name also appears in other analyses notes on the Higgs decaying in WW and ZZ channels.
- Invited talk at Brookhaven AI/ML Series: Leveraging on intelligent workflows to assist the design of the Electron Ion Collider first detector, July 12 2022.
- Invited keynote talk at 2022 Canadian Association of Physicists (CAP) Congress for the symposium on Physics at the Electron-Ion Collider (EIC), talk’s title: Artificial Intelligence/Machine Learning Codesign at the EIC, McMaster University in Hamilton, Ontario, June 6-10, 2022.
- Invited seminar, AI/ML for the Electron Ion Collider, Rome section of the Italian National Institute for Nuclear Physics INFN, May 6, 2022.
- Invited talk, AI-assisted R&D of advanced experimental systems, Technical Meeting at National Scientific Committee V, National Institute for Nuclear Physics (INFN), Italy, May 3, 2022.
- Invited Colloquium, Leverage Data science in complex Nuclear Physics experiments: from JLAB to EIC, William & Mary, February 17, 2022.
- Invited to present the AI/ML activities of Jefferson Lab and EIC at the Scientific Computing Review at JLab, on December 16-17, 2021.
- Invited talk on AI/ML for detector optimization at the Jefferson Lab Software & Computing Round Table, November 9, 2021.
- Invited talk on AI for Detector Design in Nuclear Physics at the Technical Meeting (TM) on Artificial Intelligence for Nuclear Technology and Applications that has been held at the International Atomic Energy Agency, during 25–29 October 2021.
- Invited panellist at the symposium on Artificial Intelligence for Science, Industry, and Society (AISIS), Particle and Nuclear Physics Session, October 11-15, 2021.
- Invited seminar on AI for the Design and R&D phases of the ECCE Detector, Oak Ridge National Laboratory, October 12, 2021.
- Invited Speaker at the workshop on experimental applications of Artificial Intelligence for the Electron Ion Collider, AI4EIC-exp, with a talk on AI/ML for Detector design, Accelerator and Detector Design Session, CFNS, September 7-10, 2021.
- Invited Speaker at the workshop on experimental applications of Artificial Intelligence for the Electron Ion Collider, AI4EIC-exp, with a talk on AI/ML for Imaging Cherenkov detectors, Reconstruction & Analysis Session, CFNS, September 7-10, 2021.
- Invited General talk on the AI/ML and Detector co-design at the the Electron Ion Collider User Group (EICUG) Meeting, August 2-6, 2021.
- Invited talk at the AI/ML Tech Meeting of the NPPS group at Brookhaven National Lab, Artificial Intelligence for the Optimization of the ECCE Detector, July 23, 2021.
- Invited to the panel discussion on Artificial Intelligence for nuclear science applications at EIC at the “2nd PSQ@EIC Meeting: Precision Studies on QCD at EIC” workshop, co-hosted by Asia Pacific Center for Theoretical Physics (APCTP) and the Center for Frontiers in Nuclear Science, July 19 to 23, 2021.
- Invited speaker at the annual Jefferson Lab Users Organization (2021 JLUO), where I gave a talk on AI from Jefferson Lab to the Electron Ion Collider, June 23, 2021.
- Invited seminar at Argonne National Laboratory on Perspectives on hidden flavor multiquark states in photo(electro)-production at JLab, Dec 10 2020.
- Invited lecture at the Joint GlueX-EIC-PANDA Machine Learning Workshop, Sep 21 – 25 2020, Sub-Detector Parameter Optimization.
- Invited speaker at the Streaming ReadOut VI Workshop held virtually on May 13-15 2020, Jefferson Lab, AI-supported algorithms for Streaming Readout.
- Invited Talk at the Working Group on Simulations during the “AI for Nuclear Physics Workshop” hosted at Jefferson Lab, AI Optimized Detector Design, Newport News, VA, Mar 4-6, 2020.
- Invited Colloquium at William and Mary, AI Opportunities at Jefferson Lab and the Electron Ion Collider, VA, Feb 17 2020.
- Invited Colloquium at Virginia Tech, The Role of Artificial Intelligence in Exploring the Nature of Matter, VA, Feb 4 2020.
- Invited talk at the LHCb Implications Workshop, JLab Pentaquark Perspective, CERN, Oct 16-18, 2019.
- Invited talk at DIRC2019: Workshop on fast Cherenkov detectors, Photon detection, DIRC de- sign and DAQ, Machine learning for RICH counters, September 11 – 13, 2019 Castle Rauischholzhausen.
- Invited lecture on Machine Learning, INFN school for researchers, Machine Learning in the online data acquisition, Genoa, May 2019.
- Physics Opportunities with Photon Beams at JLab12, invited seminar, University of California, Riverside, May 2019.
- Invited talk, Computing Round Table (2018), JLab, Overview of bayesian optimization applied to the GlueX case, Newport News, VA, Nov 2018.
- Plenary talk for postdoctoral prize award, JLab Users Group Workshop and Annual Meeting, A deep learning approach to PID and alignment of the GlueX DIRC , Newport News, VA, June 2018.
- Recent advances in the search for a leptopohobic boson at GlueX, talk at APS Meeting, Columbus, OH, April 2018.
- Invited colloquium at Catholic University of America, Keep the light on: exploring the structure of hadrons at JLab, April 2018.
- Invited seminar at Stony Brook University, Exotic physics both within and beyond the Standard Model at GlueX, February 2018.
- Invited colloquium at University of Regina, After the Higgs: shedding light on ordinary matter by probing the strong interaction, Canada, Regina, February 2017.
- Invited seminar at Florida State University, Exploring the Dark Sector at GlueX: Direct Photo-production of Leptophobic Bosons, FL, February 2017.
- Plenary talk at Light Cone 2016, The GlueX experiment: first results, Lisbon, Portugal, September 2016.
- Plenary talk associated to the JLab thesis prize award, JLab Users Group Workshop and Annual Meeting, Enlightening the internal structure of the proton through new measurements of real Compton scattering at wide angle, Newport News, VA, June 2015.