Conveners
Plenary
- Hugo Gonzalez Labrador (CERN)
Plenary
- Alessandra Forti (The University of Manchester (GB))
Plenary
- Tomoe KISHIMOTO
Plenary
- Marilena Bandieramonte (University of Pittsburgh (US))
Plenary
- Marilena Bandieramonte (University of Pittsburgh (US))
Plenary
- Tomoe KISHIMOTO
Plenary
- Alessandra Forti (The University of Manchester (GB))
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Simone Campana (CERN), Zoe Holmes (EPFL)25/05/2026, 11:10
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Dr Krich Nasingkun (NSTDA Supercomputer Center)25/05/2026, 11:30Track 7 - Computing infrastructure and sustainabilityPlenary Presentation
High Performance Computing (HPC) has long been a cornerstone of large-scale scientific discovery. Today, its role is evolving beyond traditional simulation-driven workloads toward a broader paradigm that integrates data-intensive computing and also artificial intelligence, particularly large language models (LLMs). This transformation is reshaping how HPC systems are designed and...
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Shinsuke Ota (RCNP, Osaka University)25/05/2026, 12:00Track 2 - Online and real-time computingPlenary Presentation
The rapid evolution of detector technologies and increasing beam intensities in nuclear physics experiments are driving a paradigm shift in data acquisition (DAQ) systems, from conventional trigger-based schemes to streaming-readout architectures. Challenges associated with trigger generation in complex detector systems, as well as the growing data throughput and trigger rates, are becoming...
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Rosie Bolton (SKA Observatory)26/05/2026, 09:00Track 4 - Distributed computingPlenary Presentation
Abstract
SRCNet — Vision, Progress, and Cross-Community Computing for the SKA Telescope
The SKA Regional Centre Network (SRCNet) is a cornerstone of the Square Kilometre Array Observatory’s distributed science computing model, federating regional centres into a coherent global infrastructure providing user access to data, processing, and analysis.
The SRCNet Project is an...
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Leanne Guy26/05/2026, 09:30Track 1 - Data and metadata organization, management and accessPlenary Presentation
Abstract
The Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST) is set to revolutionize our understanding of the Universe with groundbreaking images and scientific results. In this plenary I will highlight early discoveries and iconic images, focusing on the data management system that enables Rubin science at scale. Rubin has drawn on synergies between the high-energy...
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James Letts (Univ. of California San Diego (US))26/05/2026, 10:00Track 4 - Distributed computingPlenary Presentation
Abstract
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With the end of Run 3 of the LHC approaching, the Worldwide LHC Computing Grid (WLCG) is entering an important transition toward the HL-LHC era. To meet the substantial increase in data volume, computational requirements, and resource heterogeneity, while preserving reliability, sustainability, and community cohesion, we have launched the development of the WLCG Technical Roadmap... -
Robin Hofsaess26/05/2026, 11:00Track 7 - Computing infrastructure and sustainabilityPlenary Presentation
Abstract: The transition to the HL-LHC era brings unprecedented computing demands and a rapidly shifting hardware landscape. Since its successful deployment in 2023, HEPScore has become the standard CPU benchmark for WLCG sites, replacing the legacy HEP-SPEC06. The journey to HEPScore was a major collaborative effort, involving software developers, data analysts, site personel, and the...
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Maksim Melnik Storetvedt (Western Norway University of Applied Sciences (NO))26/05/2026, 11:30Track 4 - Distributed computingPlenary Presentation
Abstract: For decades, the x86 architecture has been the bedrock of Grid computing. That era of uniformity is over. Driven by the specialized demands of next-generation applications, we have entered a Resource Renaissance - a period defined by the rapid proliferation of ARM and RISC-V CPUs and various types and generations of GPUs across Grid computing centers.
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However, this hardware... -
Mr Julien Leduc (CERN)26/05/2026, 12:00Track 1 - Data and metadata organization, management and accessPlenary Presentation
Abstract: During the last year of LHC Run-3, several new records were set by the CERN Tape Archive (CTA) service at WLCG Tier-0: the rate of data archival to tape peaked at over 60 PB/month and the total volume of data grew to more than 1 Exabyte.
The CTA service was able to scale up to meet these demands thanks to architectural choices made prior to Run-3 as well as responses to...
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Gordon Watts (University of Washington (US))27/05/2026, 09:00Track 9 - Analysis software and workflowsPlenary Presentation
ABSTRACT:
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Large Language Models (LLMs) are increasingly used in particle physics as coding agents, but their role is expanding from software assistance to building the scientific analysis workflow itself. This talk examines how LLMs can function as connective elements across the stages of a modern high-energy physics analysis, from dataset discovery and metadata retrieval to analysis... -
Ke LI27/05/2026, 09:30Track 4 - Distributed computingPlenary Presentation
ABSTRACT
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The integration of AI, especially Large Language Models (LLMs) and autonomous agents, is reshaping the way data-intensive research is conducted in HEP. This talk presents a vision of this transformation through Dr.Sai, a pioneering LLM-powered multi-agents system developed at BESIII. Dr.Sai interprets physicist's natural language queries, autonomously decomposes them into... -
Savannah Thais (Hunter College)27/05/2026, 10:00Track 4 - Distributed computingPlenary Presentation
ABSTRACT:
Artificial intelligence is rapidly becoming inextricable from physics research, with growing attention now turning to the semi-autonomous roles AI agents might play in scientific discovery. Yet many of the measurements and evaluations underpinning AI research lack the rigor and reliability typically expected to support knowledge production in physics. In this talk, I will...
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Jose Carlos Luna Duran (CERN)27/05/2026, 11:00Track 4 - Distributed computingPlenary Presentation
ABSTRACT
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This talk explores the security implications of adopting AI in operational environments, with a strong focus on the often-underestimated risks of data leakage, model misuse, and over-trust in automated outputs. It emphasizes why human review and human-in-the-loop controls remain essential, specially when AI systems are integrated into security-critical workflows. The talk also... -
Dr Andrea Sciabà (CERN), Andreas Joachim Peters (CERN), David Crooks, Dr David Crooks (UKRI STFC), Gordon Watts (University of Washington (US)), Harris Tzovanakis (CERN), Dr Ke Li (Institute of High Energy Physics, Chinese Academy of Sciences (CN)), Savannah Thais (Hunter College)27/05/2026, 11:30Track 3 - Offline data processingPlenary Presentation
This panel discussion will allow CHEP 2026 attendees to hear different perspectives on how Artificial Intelligence technologies and tools can impact researchers in high energy and nuclear physics. As will be discussed in the plenary and parallel program of the conference, AI is already impacting the way HEP researchers write code; formulate analysis workflows; make hardware purchasing...
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Noemi Calace (CERN)28/05/2026, 09:00Track 2 - Online and real-time computingPlenary Presentation
Abstract: The High-Luminosity LHC (HL-LHC) will impose unprecedented demands on event reconstruction, driven by extreme pile-up conditions, increased detector granularity, and stringent latency constraints. In this environment, track reconstruction stands out as one of the most critical and computationally challenging components of future trigger systems, directly impacting physics...
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Massimiliano Galli (Princeton University (US))28/05/2026, 09:30Track 9 - Analysis software and workflowsPlenary Presentation
Abstract: Statistical inference is a crucial part of HEP analyses. Historically based on RooFit and RooStats, the statistical tools used by the experiments are now facing unprecedented challenges, such as the rapidly growing complexity of statistical models - involving hundreds of parameters of interest and thousands of nuisance parameters - the need for scalable performance in large...
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Chris Burr (CERN)28/05/2026, 10:00Track 8 - Analysis infrastructure, outreach and educationPlenary Presentation
Abstract: Analysis Productions is a declarative n-tupling service which has processed over 1 exabyte of LHCb data since 2024 with the DIRAC Transformation System. It is the primary method for producing LHCb ntuples for analysis and has produced approximately 50M files.
Since the start of Run 3 the demand for n-tuples increased dramatically, with 22k samples created in 2025 alone, which...
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Severin Diederichs (CERN)28/05/2026, 11:00Track 5 - Event generation and simulationPlenary Presentation
Abstract
The computational cost of full Monte Carlo simulation in high-energy physics is rapidly increasing, particularly in view of the high-luminosity LHC upgrades. At the same time, modern high-performance computing systems are increasingly based on heterogeneous architectures, motivating efforts to enable full detector simulations on GPUs. The AdePT and Celeritas projects have now...
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Amit Bashyal (Brookhaven National Laboratory), Jacob Calcutt (Brookhaven National Laboratory (US))28/05/2026, 11:30Track 3 - Offline data processingPlenary Presentation
Abstract
The Deep Underground Neutrino Experiment (DUNE) will produce a very large amount of raw data from its Far Detector (FD) as it turns on at the start of the next decade: roughly 30 PB/yr from the first two FD modules. DUNE’s current processing paradigm would necessitate a large amount of both disk space and compute time to process this raw data up to the point at which...
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Giovanni Guerrieri (CERN)28/05/2026, 12:00Track 4 - Distributed computingPlenary Presentation
Abstract
Large-scale, data-intensive research is no longer exclusive to high energy physics. Astronomy, gravitational wave physics, nuclear physics, and many more scientific fields now face comparable challenges in data management, distributed computing, and virtual research environments. With the technological landscape increasingly evolving towards centralised and specialised...
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