Sparse Linear Algebra for Biobank-Scale Population Genetics

Speaker: Prof. Giulia Guidi, Cornell University Abstract: Biobank initiatives include half a million phased genomes, outpacing the tools available to analyze them. Conventional genotype formats treat ...

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Understanding performance and energy efficiency trade-offs under power capping and frequency scaling scenarios

Speaker: Prof. Dr. Gerhard Wellein, Friedrich-Alexander-Universität Erlangen-Nürnberg  Abstract: Growing demands from simulation and AI/ML are pushing HPC energy consumption to critical levels. Power ...

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AI-Driven Personalization to Support Human-AI Collaboration

Speaker: Dr. Cristina Conati, University of British Columbia Abstract: At the Human-AI Interaction group at the University of British Columbia, we investigate how to support Human-AI collaboration via...

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Research in the Age of Human-AI Collaboration

Speaker: Michael Weiss, Carleton University Abstract: This talk explores how AI will transform the research process. It envisions AI not merely as a tool for specific tasks, but as a partner in knowle...

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Evaluation of data security in Machine Learning L models

Speaker: Elizabeth Gassiat, University Paris- Saclay Abstract: Membership inference attacks (MIA) can reveal whether a particular data point was part of the training dataset, potentially exposing sens...

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Sustaining Open Source: What a Decade of Research Taught Us About People, Governance, and AI

Speaker: Igor Steinmacher, Northern Arizona University, USA Abstract: Open source software underpins much of the world’s digital infrastructure, yet its sustainability remains fragile. Communities dep...

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Polyhedral-net Splines for Geometry and Engineering Analysis

Speaker: Prof. Jorg Peters, University of Florida Abstract: Control nets of splines are embedded graphs whose node x y z values scale basis functions  and whose edges define adjacency and support of t...

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Analyzing the Interplay Between Privacy, Explainability, and Fairness in Responsible Artificial Intelligence

You are cordially invited to attend the PhD Dissertation Defence of Fatima Ezzeddine on Friday 5 June 2026 at 09:00 in room D0.02. Abstract: Machine learning (ML) models are increasingly adopted in do...

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Changing Nothing, Yet Changing Everything: Exploring Rug Pulls in GitHub Workflows

Speaker: Edoardo Riggio, USI Abstract: Software supply chain attacks have become a significant threat to modern software systems. By exploiting the complex and transitive nature of dependencies, malic...

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Asymptotic entanglement in circle stabilizer states and proper vertex-minor closed families

Speaker: Kenneth Goodenough, University of Siegen Abstract:A natural question in entanglement theory is when a state ψ can be transformed into another state φ using local unitaries, measurements and c...

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Balancing Evidentiary Value and Sample Size of Adaptive Designs with Application to Animal Experiments

Speaker: Leonhard Held, University of Zürich Abstract: Reducing the number of experimental units is one of the three pillars of the 3R principles (Replace, Reduce, Refine) in animal research. At the s...

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AI-based Image Analysis for Medical Problems: Challenges and New Approaches

Speaker: Danny Z. Chen, University of Notre Dame Abstract: We present new deep learning (DL) approaches for medical image analysis tasks (sparse annotation, segmentation, classification, denoising, et...

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Opportunities and challenges in accelerating large-scale search using NVM-based in-memory computing

Speaker: Xiaobo Sharon Hu, University of Notre Dame Abstract: Large-scale search plays a crucial role in a broad range of machine learning applications, where achieving fast and energy-efficient searc...

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From Foundation Models to Neuro-Symbolic Architectures: Toward Safety Assurance of Learning-Enabled CPS

Speaker: James Zheng, Macquarie University, Sydney, Australia; USI-INF Visiting Professor 2026 Abstract: Learning-enabled cyber-physical systems (CPS), such as autonomous driving and UAVs, are increas...

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PETRIFY: Petri-net based analysis of concurrent programs

Speaker: Akshatha Shenoy, USI Abstract: In this talk, we will be exploring techniques for automatically checking concurrency properties in programs. Some of the current techniques (like Java Pathfinde...

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Information-theoretic Approaches to Deep Learning with Attention

Speaker: James Henderson, Idiap Research Institute Abstract: Characterising deep learning in terms of probabilistic inference gives us a theoretical framework for understanding the information content...

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Testing RAG Systems: Coverage-Guided Adequacy and Metamorphic Oracles

Speaker: Jinhan Kim, USI Abstract: Retrieval-Augmented Generation (RAG) systems have become the default way we deploy LLMs over proprietary knowledge, yet the way we test them has not kept pace. Most ...

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"Yes I'm paranoid, but am I paranoid enough?" The Tiglath Pileser principle and models of persuasion

Speaker: Alessandra Palmigiano, School of Business and Economics of the VU Amsterdam Abstract: We discuss a formal framework for modelling how agents extract reliable information from stories and comm...

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Heterogeneity in testing and vaccination behavior strongly shapes epidemic spreading patterns

Speaker: Abbas K. Rizi (DSc), DTU Compute Abstract: The spread and control of infectious diseases depend not just on the biology of a pathogen but on the social fabric of its host population. How peop...

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Visualizing Object-Oriented Software Systems Through Class Contours

Speaker: Mattia Giannaccari, USI Abstract: Understanding object-oriented software systems requires developers to mentally reconstruct the roles and relationships of classes from scattered lines of cod...

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Overreliance on LLMs, consequences, cognition and crutches

Speaker: Valerie Burgener, USI Abstract: LLMs are rapidly evolving and handling more and more tasks. They introduce low friction to problem solving and reward with immediate output. This talk dives in...

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Towards improving chemical synthesis planning assistants

You are cordially invited to attend the PhD Dissertation Defence of Mikhail Andronov on Tuesday 31 March 2026 at 15:30 in room D2.19. Abstract: Efficient organic synthesis planning is one of the corne...

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Deep Generative Mechanisms for 3D: From De Novo Flow Models to Latent Space Optimization

Speaker: Prof. Iro Armeni, Stanford University Abstract: This talk explores three distinct technical paradigms for generative vision models in 3D reconstruction and synthesis. First, we present a nove...

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Security Challenges of Large Language Models

Speaker: Prof. Jelena Milosevic, FHNW Abstract: Large Language Models(LLMs) are increasingly embedded in critical systems, yet they introduce a growing set of security risks. This presentation highlig...

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Sicurezza dei password manager: studio congiunto USI-ETH Zurich

Uno studio coordinato tra l’ETH Zurich e l’Università della Svizzera italiana (USI) solleva interrogativi importanti sulla sicurezza dei password manager cloud più diffusi. Il lavoro, che sarà present...

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Phänomena startet Tour in Dietikon – «it business» – Meldungen aus der ICT-Welt

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