SMARTHEP Meets Industry @CERN (22nd-23rd May 2025)

Europe/Rome
CERN

CERN

Micol Olocco (Technische Universitaet Dortmund (DE))
Description

For industry experts to connect with SMARTHEP's PhD researchers who are working on AI, data science, and real-time analysis, to discover the potential for collaboration on technologies and methodologies that drive innovation in research and business. 

The "SMARTHEP Meets Industry @ CERN" event is a two-day gathering scheduled for May 22–23, 2025, at CERN in Geneva. Organized as part of the SMARTHEP (Synergies between MAchine learning, Real-Time analysis and Hybrid architectures for efficient Event Processing and decision-making) initiative, this event aims to bridge the gap between cutting-edge research in high-energy physics and practical industrial applications.​

Checkout our agenda and the catalogue with the SMARTHEP technology offers. This catalogue highlights the secondments carried out by our Early Stage Researchers within partner industries during their PhDs, showcasing the real-world value and transferability of their expertise.

Contact the Coordinator (C. Doglioni) and Project Manager (A. Carey)
Registration
SMARTHEP Meets Industry Event at CERN (May 2025)
    • 09:00 09:15
      Ethical Considerations for AI 40/S2-A01 - Salle Anderson

      40/S2-A01 - Salle Anderson

      CERN

      100
      Show room on map
      Convener: Savannah Thais
    • 09:15 10:20
      ESRs' presentations 40/S2-A01 - Salle Anderson

      40/S2-A01 - Salle Anderson

      CERN

      100
      Show room on map
      • 09:15
        GRAPH NEURAL NETWORK TRAFFIC PREDICTIONS ON REAL-TIME OBSERVATIONS 5m
        Speaker: Alexandros Sopasakis
      • 09:20
        LEARNING TRAFFIC ANOMALIES FROM GENERATIVE MODELS ON REAL- TIME OBSERVATIONS 5m
        Speaker: Alexandros Sopasakis
      • 09:25
        SIMULATION OF STREET VIDEO SCENES FOR OBJECT DETECTION MODELS IN COMPUTER VISION 5m
        Speaker: Henrique Piñeiro Monteagudo
      • 09:30
        ROAD SCENE UNDERSTANDINGFOR RISK ANTICIPATION FROM EGO-VEHICLE DATA 5m
        Speaker: Henrique Piñeiro Monteagudo
      • 09:35
        EFFECTS OF VIEWPOINT SHIFTS IN BIRD-EYE VIEW SEGMENTATION 5m
        Speaker: Patin Inkaew (Helsinki Institute of Physics (FI))
      • 09:40
        STUDY OF INDUSTRIAL TIME SERIESDATA FOR SEGMENTATION AND PATTERN IDENTIFICATION 5m
        Speaker: Daniel Magdalinski (Nikhef)
      • 09:45
        OPTIMIZED MACHINE LEARNINGINFERENCE THROUGH HETEROGENEOUSARCHITECTURES 5m
        Speaker: Sanjiban Sengupta (CERN, The University of Manchester)
      • 09:50
        DEVELOPMENT OF SIMULATION- BASED INFERENCE INTERFACES IN THE ROOT SOFTWARE FRAMEWORK FOR INDUSTRIAL APPLICATIONS 5m
        Speaker: Jamie Gooding (Technische Universitaet Dortmund (DE))
      • 09:55
        REAL-TIME DATA ACQUISITION ANDANALYSIS FOR HIGH-FREQUENCYMONITORING IN INDUSTRY 4.0AND BEYOND 5m
        Speaker: Maximilian Amerl (The University of Manchester (GB))
      • 10:00
        NEXT-GEN BANKING FRAUD SIMULATION WITH AGENT-BASED MODELING AND LLMs 5m
        Speaker: Micol Olocco (Technische Universitaet Dortmund (DE))
      • 10:05
        JET ENERGY CALIBRATION WITH REAL-TIME MACHINE LEARNING TRAININGAND ANOMALY DETECTION IN HIGH-ENERGY PHYSICS AND FINANCE 5m
        Speaker: Laura Boggia (Centre National de la Recherche Scientifique (FR))
      • 10:10
        REAL-TIME MARKET ANALYSIS WITH RECURRENT NEURAL NETWORKS FOR PREDICTIVE INSIGHTS 5m
        Speaker: Leon Bozianu (Universite de Geneve (CH))
      • 10:15
        STUDY OF HISTORICAL TIMESERIES OF FINANCIAL DATA TO DEVELOP MACHINE LEARNING APPLICATIONS FOR ANALYSIS AND PREDICTION OF FINANCIAL ASSETS 5m
        Speaker: Sofia Cella (CERN)
    • 10:20 10:30
      CERN CAFEIN: A Privacy-Preserving and Energy-Efficient ML Framework 40/S2-A01 - Salle Anderson

      40/S2-A01 - Salle Anderson

      CERN

      100
      Show room on map
      Convener: Alessandro Raimondo (CERN)
    • 10:35 10:40
      Towards SMARTHEP2 5m
      Speakers: Caterina Doglioni (The University of Manchester (GB)), Henning Kirschenmann (LUT University and Helsinki Institute of Physics (FI))
    • 10:45 11:15
      Coffee break 30m 500/R-203A - Zone réservable ESPACE_EVENEMENT_500_1

      500/R-203A - Zone réservable ESPACE_EVENEMENT_500_1

      CERN

      Show room on map
    • 11:15 12:30
      Networking 500/R-203A - Zone réservable ESPACE_EVENEMENT_500_1

      500/R-203A - Zone réservable ESPACE_EVENEMENT_500_1

      CERN

      Show room on map
    • 12:30 12:45
      Transfer to Prevessin
    • 12:45 13:45
      Lunch
    • 13:45 16:45
      Visits to CERN labs/facilities

      ❖ CERN Robotics Lab: Machine Learning applications (e.g. autonomous navigation, patient
      monitoring, etc.)
      ❖ CERN Computing Centre: energy efficiency (PUE - Power Usage Effectiveness) and sustainability
      best practices
      ❖ CERN Control Centre: management of all CERN accelerators operations