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    (last update: 3/13/2024) 


    • 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.