Conferences Archive - SnT EN /snt-en/conferences/ Interdisciplinary Centre for Security, Reliability and Trust I Uni.lu Fri, 08 May 2026 09:41:10 +0000 en-GB hourly 1 Plan your visit /snt-en/conferences/summer-school-autonomous-systems/plan-your-visit/ Tue, 17 Mar 2026 15:52:01 +0000 /snt-en/?post_type=conferences&p=21326 The Summer School on Autonomous Systems will take place at the Maison des Sciences Humaines in Belval, Esch-sur-Alzette.

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Venue

Black Box – Maison des Sciences Humaines
11, porte des Sciences
L-4366 Esch-sur-Alzette
Luxembourg

Transportation

Public transport is free in Luxembourg. The Belval campus is well connected to all transport hubs within Luxembourg, including direct train links from the central train station.

The closest stops to the Belval Campus are:
Train: Belval-Université
Bus:
– Esch-sur-Alzette, Porte des Sciences
– Belval, Porte de France
– Esch-sur-Alzette, Raemerich
– Belval (Université), Gare Routière

Plan your journey easily with , Luxembourg’s official, comprehensive mobility platform provided by the Public Transport Administration.

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Dates & Registration /snt-en/conferences/summer-school-autonomous-systems/registration/ Tue, 17 Mar 2026 15:21:46 +0000 /snt-en/?post_type=conferences&p=21318 Participation in the Summer School is subject to a two-step application and registration process.

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Dates & Registration

Participation in the Summer School is subject to a two-step application and registration process.

Application

Interested participants are invited to submit an application by 31 May 2026. Applications should be sent by email to as-summerschool@uni.lu and must include:

  • Curriculum Vitae (CV)
  • Motivation letter, including a short research statement describing your research interests and how they relate to the themes of the summer school.

Applications will be reviewed by the organisers. Selected applicants will receive a confirmation email by 15 June 2026, together with a link to complete registration. Please note the number of seats is limited to 30.

Selected applicants will be required to prepare, print, and bring a poster highlighting their research, which will be showcased on the second day of the Summer School.

Registration

Once participants have been selected, they will be asked to complete the online registration form.

The participation fee is 100 EUR, which covers:

  • Coffee breaks
  • Lunches (first and second day)
  • Social dinner (second day)

Accommodation

A limited number of rooms have been reserved at a nearby hotel at the following special rates:

  • 112 EUR per night – single room (including breakfast)
  • 129 EUR per night – double room (including breakfast)

Rooms are available on a first-come, first-served basis.

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Programme /snt-en/conferences/summer-school-autonomous-systems/programme/ Tue, 17 Mar 2026 10:58:20 +0000 /snt-en/?post_type=conferences&p=21279 Upon completion of the Summer School, participants will be able to position their research within the broader ATLAS research framework from a system-level perspective and design high-level architectures for Digital Twins of embodied autonomous systems.

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Programme

Upon completion of the Summer School, participants will have been exposed to the latest research on autonomous systems and will be able to position their work within the broader ATLAS research framework from a system-level perspective and design high-level architectures of embodied autonomous systems. They will be trained to integrate sensing, perception, decision-making, and actuation within coherent AI-driven autonomous system architectures, and to apply distributed and federated learning approaches in networked and decentralized autonomous systems. Participants will also be able to consider safety constraints and explainability principles into system architectures, formulate cross-domain research concepts spanning Land, Air, and Space, and critically assess simulation-to-real gaps and validation strategies for physical AI systems.

    Overview

    Each day of the Summer School is dedicated to a key theme, with embodied intelligence running as a common thread throughout:

    • Day 1 explores the compute infrastructure and embodied AI architecture for autonomous systems,
    • Day 2 dives into data-driven and distributed intelligence,
    • Day 3 focuses on safety, validation, and integrating autonomous systems.

    The programme blends expert lectures, academic keynotes, hands-on cross-domain workshops, interactive research sessions, and an industry panel, highlighting real-world challenges and opportunities. The participants will also have the opportunity to present their research work during a poster session on the second day. A jury will evaluate the the different contributions and propose an award for the best poster presentation. The afternoon of the final day will be dedicated to a visit to the historic Belval siderurgical site. See below for more details on the programme.

    08:00-09:00Registration & Coffee
    09:00-09:15Opening Session: ATLAS Ecosystem [Prof. Raphael Frank, 91Ƶ]
    It offers a comprehensive overview of autonomous systems within the ATLAS ecosystem, presenting the scope of research across Land, Air, and Space domains. It highlights the key challenges, opportunities, and interdisciplinary connections in the development of intelligent, safe, and physical autonomous systems, setting the stage for the themes explored throughout the Summer School.
    09:15-10:30Opening Keynote: Resilient Edge-AI using Virtualized Edge Computing []
    This lecture covers the evolution of edge computing in the transition from 5G to 6G, highlighting its role in supporting data-intensive, ML-driven services. It introduces the Virtual Edge (V-Edge) concept, which unifies cloud, edge, and user resources into a flexible and cooperative computing framework. The lecture also explores resilience strategies, including the use of mobile systems to maintain connectivity during infrastructure failures.
    10:30-11:00Coffee Break
    11:00-12:30Lecture: Embodied AI Architectures for Autonomous Systems [TBD]
    The lecture on embodied AI and closed-loop architectures will introduce the core principles of physical AI for autonomous systems, emphasizing how intelligence emerges from the interaction between sensing, actuation, and physical dynamics. It will cover perception-action loops, dynamics-aware and model-based learning, physics-informed AI agents, and the challenges of transferring models from simulation to real-world autonomous systems.
    12:30-14:00Lunch Break
    14:00-16:00Workshop: Advanced Mapping and Scene Reconstruction [TBD]
    This session focuses on advanced environment mapping and real-time scene reconstruction using 3D Gaussian Splatting (3DGS) for autonomous systems such as vehicles, drones, and robots. It explores how a unified Gaussian-based representation enables efficient, high-fidelity mapping and continuous scene updates from sensor data. The session includes a hands-on workshop where participants implement a complete 3DGS pipeline from data capture to reconstruction and visualization in real-world scenarios.
    16:00-16:30Coffee Break
    16:30-17:30 Expert Panel Discussion
    From Prototype to Deployment: Scaling Safe Autonomous Systems in the Real World

    Participants:
    – Prof. Dr. Falko Dressler (TU Berlin, Germany)
    – Christophe Timmermans (CEO SolarCleano, Luxembourg)
    – Joost Ortjens (Director EMEA at Ohmio, Luxembourg)
    – Jean Schiltz (Director Automotive and Smart Mobility at the Ministry of the Economy, Luxembourg)

    Moderator:
    – Prof. Dr. Raphael Frank (SnT / 91Ƶ)
    17:30-20:00End-of-Day Welcome & Networking Drink

    08:30-09:00Arrival & Networking
    09:00-10:30Lecture: Distributed and Federated Learnng for Autonomous Systems [Prof. Grégoire DANOY, 91Ƶ]
    This session introduces distributed and federated learning principles for physical autonomous systems, covering collective optimization, swarm intelligence, and privacy-aware learning. Participants will see how these methods enable coordinated intelligence across networked systems, from UAV fleets to multi-agent robotic platforms, including autonomous vehicles.
    10:30-11:00Coffee Break
    11:00-12:30Lecture: Multi-modal Perception for Autonomous Systems [TBD]
    The lecture presents perception as a foundational element of embodied AI, emphasizing multi-modal sensor fusion, active perception, and scene representations and understanding. Participants learn how physically consistent state representations enable robust decision-making in dynamic, real-world environments.
    12:30-14:00Lunch Break
    14:00-16:30Workshop: Building World Models for Embodied Agents [TBD]
    This session explores world models and latent representations in physical AI for modeling environments and agent dynamics. It covers 3D/4D scene modeling, data-driven dynamics, and links between sensing and state representation. Then, participants work in groups to build latent world models with applications.
    16:30-17:00Coffee Break
    17:00-18:30 PhD Students Poster Session
    Doctoral participants present challenges from their thesis work receiving expert feedback to strengthen methodological rigor and cross-domain applicability.
    18:30-22:00Social Event and Best Poster Award

    08:30-09:00Morning Coffee
    09:00-10:30Lecture: Foundations of Trustworthy AI in Physical Systems [Prof. Fabrizio PASTORE, 91Ƶ]
    This lecture introduces the core principles of trustworthy AI in embodied autonomous systems, including robustness, reliability, accountability, and human oversight. It emphasizes embedding trustworthiness directly into the perception–decision–actuation loop. The session frames trust as a system-level design requirement for safety-critical autonomy.
    10:30-11:00Coffee Break
    11:00-12:30Lecture: Safety, Security and Explainability in Embodied AI [Dr. Safaa MOALLIM, 91Ƶ]
    This session explores how safety, cybersecurity, and explainability are implemented in AI-driven physical systems. Topics include formal safety layers, runtime monitoring, adversarial robustness, and interpretable decision-making. The focus is on co-designing learning components with verifiable safety and certification pathways.
    12:30-14:00Lunch Break
    14:00-16:00 Visit to the historic Belval siderurgical site

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    Summer School on Autonomous Systems /snt-en/conferences/summer-school-autonomous-systems/ Tue, 17 Mar 2026 10:06:59 +0000 /snt-en/?post_type=conferences&p=21275 This summer school welcomes doctoral candidates and early-stage researchers in autonomous systems, robotics, artificial intelligence, and cyber-physical systems

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    6 – 8 July 2026

    Summer School on Autonomous Systems

    The Summer School on Autonomous Systems targets doctoral candidates and early-stage researchers in autonomous systems, distributed systems, robotics, artificial intelligence, and cyber-physical systems, providing advanced interdisciplinary training at the intersection of embodied and physical AI, distributed and data-driven intelligence, as well as safety and trustworthiness in autonomous systems.

    Practical Information

    • Maison du Nombre (MNO) & Maison des Sciences Humaines (MSH), Belval

    • 6- 8 July 2026

    • English

    • Plan your visit

    Embodied Intelligence for Safe Autonomous Systems

    The program is organized around three core themes:

    1. Enhancing efficiency, sustainability, and safety through trustworthy and explainable AI;
    2. Enabling the integration of autonomous systems in complex environments;
    3. Advancing data-driven and distributed AI approaches for autonomous systems.

    It addresses the inherently physical nature of autonomy across land systems (intelligent transport and infrastructure), air systems (UAVs and aerial mobility), and space systems (robotics and satellites). A central premise of the Summer School is that autonomy is fundamentally embodied: intelligence arises from the closed-loop interaction between perception, actuation, physical dynamics, and environmental constraints.

    Expected Learning Outcomes

    Upon completion of the Summer School, participants will have been exposed to the latest research on autonomous systems and will be able to position their work within the broader ATLAS research framework from a system-level perspective and design high-level architectures of embodied autonomous systems. They will be trained to integrate sensing, perception, decision-making, and actuation within coherent AI-driven autonomous system architectures, and to apply distributed and federated learning approaches in networked and decentralized autonomous systems. Participants will also be able to consider safety constraints and explainability principles into system architectures, formulate cross-domain research concepts spanning Land, Air, and Space, and critically assess simulation-to-real gaps and validation strategies for physical AI systems.

    Organisers

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    Plan your visit /snt-en/conferences/sps-conference/plan-your-visit/ Thu, 05 Feb 2026 10:46:39 +0000 /snt-en/?post_type=conferences&p=20391 The post Plan your visit appeared first on SnT EN.

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    Plan your visit

    Belval campus, 91Ƶ

    • Maison des Sciences Humaines,
      11, Porte des Sciences
      L-4366 Esch-sur-Alzette
      Luxembourg

    • 2-3 September 2026

    Belval Campus is the 91Ƶ’s main site. Close to Esch-sur-Alzette, Luxembourg’s second largest city, Belval combines research with teaching and urban life with leisure activities. Once home to Luxembourg’s largest steelworks, this site now features research and learning facilities, the University library and learning centre as well as the student accommodations. The campus is located at the centre of an urban district and has excellent connection to public transportation.

    Free public transport

    Free transport since 1 March 2020

    Public transport (buses, trains, and tram) is free of charge in Luxembourg.

    The website of the Luxembourg Public Transport Administration, , makes it easy to plan your journey.

    University – Campus Belval can be reached from:

    By public transport

    Take the tram to Pfaffenthal-Kirchberg or, alternatively, to Gare Centrale. The train is then the most convenient option to reach Belval (Université).

    By taxi

    Taxis are a more costly alternative in Luxembourg. Expect to pay around 100 EUR for a trip to University – Campus Belval (35 – minute journey).

    By public transport

    Take the train directly to Belval-Université, or travel via Gare Centrale (Luxembourg Central Station) before continuing on to Belval-Université.

    By train

    stop Belval – Université

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    Sociotechnical Privacy and Security conference (SPS 2026) /snt-en/conferences/sps-conference/ Thu, 05 Feb 2026 10:38:47 +0000 /snt-en/?post_type=conferences&p=20371 The post Sociotechnical Privacy and Security conference (SPS 2026) appeared first on SnT EN.

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    SPS 2026

    Sociotechnical Privacy and Security – first annual conference

    SPS2026 Conference

    The first annual conference, which emerged by combining two successful events will be held on 2-3 September, 2026, 91Ƶ, Belval Campus. The main focus areas of the event are research and discussion of issues related human-computer interactions (HCI), security, and privacy.

    91Ƶ the conference

    Successful attacks on information systems rarely target technology alone. They also exploit the human element from insecure user behaviour and poorly designed interfaces to unclear or unrealistic security policies. Addressing security effectively therefore requires more than reducing technical vulnerabilities; it demands a clear understanding of user needs, behaviours, and contexts. Technology designers and policy-makers must take these human factors into account to build truly secure systems.

    This new conference brings together two well-established events in socio-technical, user-centred privacy and security: European Symposium on Usable Security (EuroUSEC) and International Workshop on Socio-Technical Aspects in Security (STAST). By combining their strengths, the conference aims to unite researchers and practitioners from a wide range of disciplines, including computer science, engineering, psychology, social sciences, and economics. It provides a forum to present research and to discuss the human-computer interaction challenges that shape security and privacy today.

    Call for papers

    We welcome submissions presenting unpublished, original research across all areas of usable security and privacy. We also invite systematisation of knowledge (SoK) papers with a clear connection to usable security and privacy. Well-executed replication studies are welcome, and we also encourage papers that present and discuss negative or insignificant results.

    We value a broad range and combination of research methods, including both qualitative and quantitative approaches. Topics include, but are not limited to:

    • usable security and privacy implications or solutions for specific domains (such as IoT, eHealth, and vulnerable populations)
    • methodologies for usable security and privacy research
    • the role of AI and generative AI technologies in improving usable security and privacy
    • field studies of security or privacy technologies
    • longitudinal studies of deployed security or privacy features
    • new applications of existing privacy or security models or technologies
    • innovative security or privacy functionality and design
    • usability evaluations of new or existing security or privacy features
    • security testing of new or existing usability features
    • lessons learned from the deployment and use of usable security and privacy features
    • reports of failed usable security or privacy studies or experiments, with a focus on lessons learned
    • replication studies of previously published, influential studies and experiments
    • psychological, sociological, cultural, or economic aspects of security and privacy
    • studies of administrators or developers, and support for security and privacy
    • studies on the adoption or acceptance of security or privacy technologies
    • systematisation of knowledge papers
    • the impact of organisational policy or procurement decisions on security and privacy

    Types of contributions

    Full papers (8–12 pages) should present complete, original research, address well-defined research questions, and report full and stable results.

    Format and page limits

    All papers should be submitted via EasyChair. Papers must be typeset in LaTeX in A4 format (not “US Letter”) using the (eurosp-template.zip). Please do not use other IEEE templates.

    Submissions must be in Portable Document Format (PDF). Authors should ensure that unusual fonts, images, and figures do not create problems for reviewers. Documents must render correctly in Adobe Reader XI and when printed in black and white. Failure to adhere to page limits or formatting requirements may result in desk rejection.

    Review and publications

    SPS adopts a double-anonymised review policy. Papers will be reviewed by at least two PC members. The authors can declare any conflicts of interest at the time of submission or by informing the PC chairs or organisers. Accepted papers will be published through IEEE.

    Use of AI

    The use of AI tools is permitted; however, authors remain fully responsible for any content produced using these tools. Any use of AI must be explicitly disclosed. Plagiarism or other forms of research misconduct resulting from the use of AI tools remain the responsibility of the authors.

    Reviewers are not permitted to use AI tools when reading submitted papers, in order to prevent AI-generated reviews and to maintain confidentiality.

    Important dates

    • Submission open date

      March 20th

    • Obligatory abstract registration

      May 20th

    • Submission deadline

      May 25th

    • Notification for authors

      June 25th

    • Shepherding starts

      June 25th

    • Camera ready submission

      July 27th

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    Undone Computer Science 2026 /snt-en/conferences/undone-computer-science-2026/ Tue, 15 Jul 2025 07:26:12 +0000 /snt-en/?post_type=conferences&p=17627 The post Undone Computer Science 2026 appeared first on SnT EN.

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    2nd Conference on Undone Science in Computer Science

    Undone Computer Science conference 2026

    We are pleased to welcome you to the Undone Computer Science conference, organised by researchers from CNRS, INRIA, and the 91Ƶ. Undone Computer Science 2026 will take place in Luxembourg on 23-25 March, 2026 in hybrid format.

    The goal of the conference is to provide an opportunity to pause and reflect on the epistemological and ethical aspects of computer science.

    Image: Dusk in Luxembourg Grund by Tristan Schmurr, licensed under CC BY 2.0.

    Conference goal

    The goal of our conference is to provide an opportunity to pause and reflect on the epistemological and ethical aspects of computer science. We propose as a theme the concept of undone science: the intriguing yet essential notion that areas of research may remain incomplete, overlooked, or unfunded despite being worthy of exploration—and the exploration into the causes of these situations.

    Any discussion of systematic lack of production or dissemination of knowledge is welcome, whether in a specific area or in computer science in general, whether past or present; whether due to limitations of available methodologies, blind spots of dominant paradigms, institutional and industrial biases, lack of social representation, or other factors.

    For full details about the conference, visit . Check back here soon for practical information on how to attend.

    More on Undone Computer Science

    Undone Computer Science Conference 2026

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    Plan your visit /snt-en/conferences/esise-2025/plan-your-visit/ Tue, 08 Jul 2025 07:28:00 +0000 /snt-en/?post_type=conferences&p=17529 The post Plan your visit appeared first on SnT EN.

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    Plan your visit

    The Conference will be hosted at the .

    Address:
    Hotel Koener
    14, Grand-Rue
    L-9710 Clervaux

    Phone: +352 92 93 92

    E-Mail: hello@excellence-group.lu

    Shuttle Transport

    We will provide a shuttle service from Luxembourg to Clervaux on 9 September, with the return trip on 11 September.

    Departure Point:
    91Ƶ – Campus Kirchberg
    29 Avenue John F. Kennedy
    L-1855 Luxembourg
    Tram stop: Universitéit

    Departure from Luxembourg (9 September): 09:30
    Return from Clervaux (11 September): 17:30
    Please arrive at the departure point at least 15 minutes early.

    Shuttle Provider: Emile Weber

    Free public transport

    Free transport since 1 March 2020

    Public transport (buses, trains, and tram) is free of charge in Luxembourg.

    #ItWasABigDay. Free buses, trains and tram

    The website of the Luxembourg Public Transport Administration, , makes it easy to plan your journey.

    University – Campus Kirchberg can be reached from:

    By tram

    stop is Universitéit

    By taxi

    Taxis are a more costly alternative in Luxembourg. Expect to pay around EUR 30 for a trip to University – Campus kirchberg (15-minute journey).

    By tram

    stop Universitéit

    By Tram

    stop Universitéit

    Clervaux is:

    • 1 hour by train from Luxembourg City
    • 1 hour 30 minutes from Luxembourg Airport (by bus and train)
    • 1 hour by car from Luxembourg City
    • Train stop: Clervaux (15-minute walk to Hotel Koener from the station)

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    European Symposium on Information Systems Engineering (ESISE) /snt-en/conferences/esise-2025/ Tue, 08 Jul 2025 07:21:28 +0000 /snt-en/?post_type=conferences&p=13677 The post European Symposium on Information Systems Engineering (ESISE) appeared first on SnT EN.

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    European Symposium on Information Systems Engineering (ESISE)

    ESISE Conference 2025

    From 9 – 11 September 2025, the 91Ƶ will host leading researchers, industry experts, and practitioners from around the globe. Together, we’ll share ideas, discuss challenges, and shape the future of information systems engineering.

    What to expect

    • Engaging talks and panels with top academics and industry leaders.
    • Hands-on workshops showcasing emerging technologies.
    • Networking opportunities with peers and innovators.

    Whether you’re an established researcher or a curious practitioner, you’ll leave inspired and ready to apply new insights to real-world projects.

    Key topics

    The conference uniquely combines four distinct disciplines:

    • Energy, eGovernment, Finance, and Tourism
    • Sensors and loT
    • Artificial Intelligence
    • Blockchain Technology

    Call for presentations

    We invite submissions of high-quality research abstracts (up to 250 words). This is a unique opportunity to share your work with an international audience and contribute to the advancement of information systems engineering.

    Important Dates:

    • Abstract Submission Deadline: 22 July, 2025
    • Notification of Acceptance: 10 August, 2025

    Please send abstract (max. 250 words) to rawan.akkouch@uni.lu

    Practical information

    Preliminary programme

    Tuesday 9 September 2025

    • 8.00 – 11.00

      Travel with Bus

    • 12.00 – 13.00

      Registration

    • 14.00

      Welcome lunch and official opening

    • 14.30 – 15.00

      Session 1 Keynote

    • 15.30 – 17.00

      Networking session

    • 19.00 – 23.00

      Dinner

    Wednesday 10 September 2025

    • 9.00 – 11.00

      Session 2 workshop

    • 12.00 – 14.00

      🍽 Lunch break

    • 13.00 – 16.30

      Session 2 paper presentations

    • 17.00 – 18.00

      ☕ Coffee break

    • 19.00 – 23:00

      Gala dinner

    Saturday 13 September 2025

    • 9.00 – 12.00

      Activity

    • 12.00 – 14.00

      🍽 Lunch

    • 14.30 – 16.30

      Session 4 workshops

    • 17.30 – 21.00

      End

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