Events

Feb 1 - Feb 7, 2026

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  Uncertainty Quantification with Conformal Prediction in Energy Data

  Tarek AlSkaif, Associate Professor, Energy Informatics, Wageningen University (WUR)

  Feb 1, 12:00 - 13:00

  B9 L2 R2325

  conformal prediction machine learning uncertainty quantification

  The talk will introduce the fundamentals of conformal prediction (CP) - a flexible, model-agnostic uncertainty quantification framework for generating statistically valid uncertainty estimates in energy applications - and demonstrate how it can be layered on top of machine learning models to produce reliable prediction intervals.

May 4 - May 10, 2025

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  The 2025 Iberian Blackout: Anatomy of a Grid Collapse

  Charalambos (Harrys) Konstantinou, Associate Professor, Electrical and Computer Engineering

  May 6, 09:00 - 11:00

  B9 L2 R2322

  renewable energy resilience power grid

  This talk provides a data-informed timeline of the April 28 Iberian blackout, examining how system conditions and possible instabilities may have shaped the cascade of events.

Jul 9 - Jul 15, 2023

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  Cybersecure and Resilient Power Systems with Distributed Energy Resources

  Ioannis (Yannis) Zografopoulos, Ph.D. Student, Electrical and Computer Engineering

  Jul 10, 14:00 - 16:00

  B5 L5 R5209

  Power systems constitute a pillar of the critical infrastructure, and, as a result, their cybersecurity is paramount. Traditional power system architectures are moving from their original centralized nature to a distributed paradigm. This transition has been propelled by the rapid penetration of distributed energy resources (DERs) such as rooftop solar panels, battery storage, etc. However, with the introduction of new DER devices, the threat surface of power systems is inadvertently expanding.

Nov 7 - Nov 13, 2021

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  Lessons Learned In Building Trustworthy Systems with Trusted Execution Environments

  Valerio Schiavoni, Scientific Coordinator and Lecturer, Centre of Competence for Complex Systems and Big Data, University of Neuchâtel

  Nov 11, 12:00 - 13:00

  B9 L3 R3223

  Available as dedicated hardware components into several mobile and server-grade processors, and recently included in infrastructure-as-a-service commercial offerings by several cloud providers, TEEs allow applications with high privacy and confidentiality demands to be deployed and executed over untrusted environments, shielding data and code from compromised systems or powerful attackers. After an introduction to basic concepts for TEEs, I will survey some of our most recent contributions exploiting TEEs, including as defensive tools in the context of Federated Learning, as support to build secure cache systems for edge networks, as protection mechanisms in a med-tech/e-health context, shielding novel environments (ie, WebAssembly), and more. Finally, I will highlight some of the lessons learned and offer open perspectives, hopefully useful and inspirational to future researchers and practitioners entering this exciting area of research.