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DTSTART;TZID=Europe/Stockholm:20260701T140000
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UID:submissions.pasc-conference.org_PASC26_sess117@linklings.com
SUMMARY:MS5B - HPC for Society: Leveraging for Trust and Transparency
DESCRIPTION:Access the recording\n\nOrganizer(s): Tobias Hodel (University
  of Bern)\n\nHigh-Performance Computing (HPC) is increasingly central to d
 eploying trustworthy, transparent, and accountable AI systems in critical 
 societal domains. This session brings together four contributions showing 
 how advanced computational infrastructures strengthen public trust across 
 areas such as health, agriculture, transportation, and energy.\nThe first 
 speaker introduces how model predictions influence decisions and demonstra
 tes how deep learning combined with Explainable AI (XAI) enables transpare
 nt, real-time interpretability at scale using HPC. The second speaker addr
 esses challenges in AI system design and evaluation, highlighting how narr
 ow benchmarking datasets can lead to misleading results and limit generali
 zation.\nThe third presentation presents an HPC-enabled intelligent toll m
 anagement framework integrating real-time computer vision with blockchain 
 to ensure transparent, auditable, and tamper-resistant public infrastructu
 re transactions. The fourth contribution introduces HP2C-DT, a multi-tier 
 digital twin architecture for renewable energy systems, where HPC supports
  large-scale simulations, AI training, and probabilistic analysis to impro
 ve grid resilience and decision-making.\nTogether, these works show that H
 PC is not just about speed or scale, but a key enabler of transparency, ro
 bustness, and reproducibility. By embedding AI in secure and computational
 ly rigorous frameworks, HPC helps build systems that society can trust.\n\
 nEnabling Trust, Transparency, and Accountability: A Blockchain and AI Fra
 mework for Transparent Toll Management\n\nTransparency, accountability, an
 d trust are essential for AI systems deployment in public domains to ensur
 e fair treatment and gain public trust. Manual toll collection and legacy 
 RFID-based e-payment systems create significant challenges including long 
 queues, inconsistent treatment, revenue leakag...\n\n\nShahid Islam and Na
 tasha Nigar (UET, Lahore, Pakistan)\n---------------------\nHP2C-DT: A Gen
 eral-Purpose Multi-Tier Digital Twin Architecture Applied to Renewable-Dom
 inated Power Systems\n\nThe large-scale integration of renewable energy so
 urces is transforming power systems, introducing variability, uncertainty,
  and operational complexity. Traditional control approaches, designed for 
 centralized generation, struggle to ensure stability and resilience in ren
 ewable-rich grids. This talk...\n\n\nFrancesc Lordan, Eduardo Iraola, Maur
 o Garcia-Lorenzo, and Rosa Badia (Barcelona Supercomputing Center)\n------
 ---------------\nBeyond Benchmark Performance: Trustworthy AI, Generalizat
 ion, and Translational Impact in Scientific Computing\n\nArtificial intell
 igence (AI) and machine learning are increasingly used within high-perform
 ance computing workflows to accelerate scientific discovery, particularly 
 in data-intensive domains such as drug discovery. However, strong benchmar
 k performance does not guarantee scientific or translational ...\n\n\nSall
 y Ellingson (University of Kentucky)\n---------------------\nBuilding Trus
 t in AI-Driven Systems: Scalable and Explainable Deep Learning Frameworks 
 for Health and Agriculture on HPC\n\nTransparency and interpretability are
  essential for deploying AI systems in domains where decisions affect heal
 th, safety, and food security. This talk presents an integrated approach t
 o building trustworthy AI models for image-based classification by combini
 ng deep learning with Explainable Artific...\n\n\nNatasha Nigar (UET, Laho
 re, Pakistan)\n\nDomain: Climate, Weather, and Earth Sciences, Applied Soc
 ial Sciences and Humanities, Engineering, Computational Methods and Applie
 d Mathematics\n\nSession Chair: Tobias Hodel (University of Bern, Switzerl
 and)
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