retrieve:
Return the details about the given Event id.

list:
List all Event objects.

GET /api/v1/events/?format=api&offset=100&ordering=event__start_time
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

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            "id": 71882,
            "title": "Image Analysis Clinics in Neuchâtel",
            "slug": "image-analysis-clinics-in-neuchatel",
            "event_url": "https://memento.epfl.ch/event/image-analysis-clinics-in-neuchatel",
            "visual_url": "https://memento.epfl.ch/image/33229/200x112.jpg",
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            "start_date": "2026-06-02",
            "end_date": "2026-06-02",
            "start_time": "10:00:00",
            "end_time": "16:00:00",
            "description": "<strong>Do you need personalized support and advice on any imaging challenges?</strong><br>\r\n<br>\r\n<strong>What are the Imaging Clinics? </strong><br>\r\nA team of imaging experts from the EPFL Center for Imaging visits EPFL's satellite campuses to offer personalized support and advice on any imaging challenges local researchers might be facing. From microscopy to satellite imagery or any other type of visual data, our experts are here to help you optimize your imaging workflows and overcome specific hurdles.<br>\r\n<a class=\"text-link\" href=\"https://imaging.epfl.ch/imaging-clinics\" target=\"_blank\">https://imaging.epfl.ch/imaging-clinics</a><br>\r\n<br>\r\n<strong>How to particpate?</strong><br>\r\nIf you need imaging advice, <a href=\"https://forms.gle/pcQTD23xMJA2xvARA\">simply book a 45-minute consultation slot.</a> During this one-on-one session, you can discuss your ongoing projects, troubleshoot issues, or explore new possibilities in imaging. We encourage all researchers working with image data to make the most of this valuable on-site support!\r\n<div> </div>",
            "image_description": "",
            "creation_date": "2026-05-13T14:37:55",
            "last_modification_date": "2026-05-20T09:53:44",
            "link_label": "Book a 45 min slot",
            "link_url": "https://forms.gle/pcQTD23xMJA2xvARA",
            "canceled": "False",
            "cancel_reason": "",
            "place_and_room": "MC B0 302 in Neuchâtel",
            "url_place_and_room": "https://plan.epfl.ch/?room==MC%20B0%20302",
            "url_online_room": "",
            "spoken_languages": [],
            "speaker": "<a href=\"https://people.epfl.ch/edward.ando?lang=en\">Edward Andò,</a> <a href=\"https://people.epfl.ch/florian.aymanns\">Florian Aymanns</a>, <a href=\"https://people.epfl.ch/mallory.wittwer\">Mallory Wittwer</a>",
            "organizer": "<a href=\"https://imaging.epfl.ch/\">Center for Imaging</a>",
            "contact": "<a href=\"https://people.epfl.ch/edward.ando\">Edward Andò</a>",
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            "id": 71927,
            "title": "Workshop series “Responsible AI skills for education”",
            "slug": "workshop-series-responsible-ai-skills-for-educat-3",
            "event_url": "https://memento.epfl.ch/event/workshop-series-responsible-ai-skills-for-educat-3",
            "visual_url": "https://memento.epfl.ch/image/33243/200x112.jpg",
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            "start_date": "2026-06-09",
            "end_date": "2026-06-09",
            "start_time": "10:00:00",
            "end_time": "11:00:00",
            "description": "<p>Current research indicates that the role of generative AI in education is a double-edged sword: on one hand it can assist teachers for designing effective learning tasks and resources, on the other hand it can have negative effects on student learning and raises a range of ethical questions.<br>\r\nIn our new workshop series “Responsible AI skills for education” we will try to navigate these questions by focusing on specific teaching and learning activities and identifying practical skills you can develop for your everyday practice. Through a blend of concise theoretical input and hands-on activities, we will explore both the benefits and the risks of generative AI in education in short 1-hour sessions on campus. The first two workshops in the series focus on quiz design and critical analysis skills.<br>\r\n<br>\r\n<strong>Effective quiz design:</strong><br>\r\nIn this 1-hour workshop, we will focus on the design of effective quiz questions for your class with the assistance of LLM tools. We will explore both the ethical and practical questions associated with LLM use for this task through theoretical inputs and hands-on activities.<br>\r\n </p>",
            "image_description": "human vs ai",
            "creation_date": "2026-05-22T09:33:15",
            "last_modification_date": "2026-05-22T09:38:09",
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            "contact": "Cécile Hardebolle: [email protected]",
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            "keywords": "Responsible AI, Education, Quiz, Critical Analysis, Skills",
            "file": null,
            "icalendar_url": "https://memento.epfl.ch/event/export/120834/",
            "category": {
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        {
            "id": 71930,
            "title": "Generative models for black-box optimization of complex objectives",
            "slug": "generative-models-for-black-box-optimization-of-co",
            "event_url": "https://memento.epfl.ch/event/generative-models-for-black-box-optimization-of-co",
            "visual_url": null,
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            "start_date": "2026-07-09",
            "end_date": "2026-07-09",
            "start_time": "10:00:00",
            "end_time": "12:00:00",
            "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Nicolas Flammarion<br>\r\nThesis advisor: Prof. Pascal Fua<br>\r\nCo-examiner: Prof. Alexander Mathis<br>\r\n<br>\r\n<u>Abstract</u><br>\r\nMany high-impact problems in science and engineering reduce to optimizing a complex objective, where each evaluation is costly and often unreliable: physical experiments fail, simulators diverge, and stochastic systems return noisy feedback. Classical black-box optimizers struggle in this regime, where evaluation budgets are tight and the feasible region is hard to characterize a priori. Our work investigates how the statistical expressivity of modern generative samplers can be leveraged in black-box optimization. We propose that these samplers enable efficient navigation of feasible sets and optimization of geometrically complex objectives under limited, unreliable observations. <br>\r\n<br>\r\nTwo complementary lines of work have already been studied. The main one, SPARROW, demonstrated that a sampler-driven optimizer can substantially reduce the number of function calls needed to maximize complex and unreliable objectives. A parallel line established that samplers can be steered to satisfy hard constraints without sacrificing the statistical diversity of the generated samples. Because SPARROW imposes minimal assumptions on the underlying sampler, these constrained samplers can drive it directly, opening a path to constrained black-box optimization.<br>\r\n<br>\r\nBuilding on these results, two directions are planned. The first is theoretical: a deeper mathematical study of sampler-driven optimization, drawing on the broader literature on sample-efficient black-box optimization, in order to derive stronger guarantees and more efficient algorithms. The second is applied: applying the methods to concrete domains and exploiting the structure those domains expose to sharpen performance beyond what a pure black-box treatment can achieve.<br>\r\n<br>\r\nThe applications of low-budget black-box optimization are diverse, including engineering design (e.g. aerodynamic shape optimization, mechanical components), scientific discovery (e.g. protein and molecule design under synthesizability and stability constraints), and the safety and security of opaque ML systems (e.g. query-efficient adversarial probing, red-teaming of black-box models).<br>\r\n<br>\r\n<u>Selected papers</u><br>\r\n ",
            "image_description": "",
            "creation_date": "2026-05-22T12:53:32",
            "last_modification_date": "2026-05-22T13:09:04",
            "link_label": "",
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            "spoken_languages": [],
            "speaker": "Edouard Dufour",
            "organizer": "",
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        {
            "id": 71931,
            "title": "Access Bit Scanning for Page Replacement Policies",
            "slug": "access-bit-scanning-for-page-replacement-policies",
            "event_url": "https://memento.epfl.ch/event/access-bit-scanning-for-page-replacement-policies",
            "visual_url": null,
            "visual_large_url": null,
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            "lang": "en",
            "start_date": "2026-06-22",
            "end_date": "2026-06-22",
            "start_time": "10:00:00",
            "end_time": "12:00:00",
            "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Thomas Bourgeat<br>\r\nThesis advisor: Prof. Babak Falsafi<br>\r\nCo-examiner: Prof. Sanidhya Kashyap<br>\r\n<br>\r\n<u>Abstract</u><br>\r\nModern workloads with memory footprints ranging from hundreds of gigabytes to several terabytes have become widespread over the last decade. With memory accounting for nearly 50% of server costs in modern data centres, provisioning large DRAM capacities significantly increases total cost of ownership (TCO). Tiered memory architectures combine memories with different capacities, latencies, and cost characteristics to improve cost efficiency while satisfying application performance requirements. Application performance in these architectures is highly sensitive to page placement decisions. Consequently, making informed placement decisions requires precise tracking of data access patterns and accurate identification of hot pages.<br>\r\n<br>\r\nExisting operating systems commonly rely on hardware-maintained access bits in page table entries to estimate memory access behaviour and identify hot data regions. They periodically scan the application's entire virtual address space to construct workload access profiles. However, linear scanning of page table access bits does not scale for modern applications with terabyte-scale memory footprints. Since scanning overhead scales with the memory footprint, a single full scan can take several seconds for workloads with large memory footprints. Reducing scanning frequency lowers monitoring overhead but also decreases profiling accuracy and responsiveness to changing access patterns, resulting in a fundamental tradeoff between profiling accuracy and monitoring overhead. Therefore, we need scalable, low-overhead mechanisms for access monitoring in next-generation memory management systems.<br>\r\n<br>\r\nIn this talk, I will discuss recent approaches to scalable memory access profiling in large-memory systems. Specifically, I will present works that use techniques such as adaptive sampling, region-based monitoring, and hierarchical profiling of page table trees to reduce and bound scanning overhead. <br>\r\n<br>\r\n<u>Selected papers</u><br>\r\ncoming soon",
            "image_description": "",
            "creation_date": "2026-05-22T13:08:29",
            "last_modification_date": "2026-05-22T13:18:11",
            "link_label": "",
            "link_url": "",
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            "cancel_reason": "",
            "place_and_room": "BC 010",
            "url_place_and_room": "https://plan.epfl.ch/?room==BC%20010",
            "url_online_room": "",
            "spoken_languages": [],
            "speaker": "<br>\r\nArunkrishna Annai Madalam Sivasubramanian  ",
            "organizer": "",
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        {
            "id": 69172,
            "title": "Dynamic Decisions and Temporal Frictions in On-Demand Mobility",
            "slug": "dynamic-decisions-and-temporal-frictions-in-on-d-2",
            "event_url": "https://memento.epfl.ch/event/dynamic-decisions-and-temporal-frictions-in-on-d-2",
            "visual_url": "https://memento.epfl.ch/image/33200/200x112.jpg",
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            "lang": "en",
            "start_date": "2026-06-22",
            "end_date": "2026-06-22",
            "start_time": "10:30:00",
            "end_time": "11:30:00",
            "description": "<strong>ABSTRACT</strong><br>\r\nApp-based, on-demand transport systems have transformed urban mobility by enabling real-time coordination between vehicles and users. Yet behind this flexibility lies a fundamental tension: operational decisions that appear beneficial in the present can deteriorate the future state of the system. This talk explores these temporal frictions in assigned on-demand systems—where passengers and vehicles are matched before meeting—and how they shape the performance and reliability of shared mobility services.<br>\r\nFirst, we show how assignment decisions evolve through what we term the Increasing Gap Dynamics, a negative feedback cycle through which vehicles progressively concentrate in space, reducing system efficiency over time. We then examine how a tension between efficiency and reliability emerges: while highly dynamic operations can improve short-term efficiency and flexibility, they may also increase unreliability by exposing passengers to future, uncertain requests. We discuss how this tension manifests both in routing decisions and in the selection of pickup and dropoff locations, and show how carefully designed anticipatory techniques can help reconcile these competing objectives.<br>\r\n<br>\r\n <br>\r\n<strong>SHORT BIO</strong><br>\r\nDr Andrés Fielbaum is a Senior Lecturer in Transport Engineering at the University of Sydney and a DECRA Fellow of the Australian Research Council. His work lies at the intersection of transport systems and applied mathematics, with a focus on public transport, on-demand mobility, and developing analytical models to inform system design and operations. He completed his PhD in Systems Engineering at Universidad de Chile in 2019 and held a postdoctoral appointment at TU Delft between 2019-2023.<br>\r\n<br>\r\nDr Fielbaum has authored over 35 peer-reviewed journal articles in leading outlets and serves as an Associate Editor for Transportation Research Part B: Methodological,  and the Journal of Intelligent Transportation Systems.<br>\r\n<br>\r\n ",
            "image_description": "",
            "creation_date": "2025-05-15T16:13:27",
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            "speaker": "Dr Andrés Fielbaum",
            "organizer": "HOMES - Prof. Kenan Zhang",
            "contact": "Prof. Kenan Zhang<br>\r\nAdministrative: Mélanie Thuillard",
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            "id": 69528,
            "title": "Promenade des Pourquoi ?",
            "slug": "promenade-des-pourquoi-12",
            "event_url": "https://memento.epfl.ch/event/promenade-des-pourquoi-12",
            "visual_url": "https://memento.epfl.ch/image/31035/200x112.jpg",
            "visual_large_url": "https://memento.epfl.ch/image/31035/720x405.jpg",
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            "lang": "en",
            "start_date": "2026-07-22",
            "end_date": "2026-07-22",
            "start_time": "10:30:00",
            "end_time": "12:30:00",
            "description": "<p>Le Savambulant se pose mille et une questions lors de ses promenades en solitaire sur le site fascinant et en constante évolution de l’EPFL. Le mercredi 22 juillet, il vous emmène pour une balade de 2h sur le campus. <br>\r\n<br>\r\nAu travers d’expériences captivantes, il partage ses connaissances et ses dernières découvertes avec les jeunes exploratrices et explorateurs venus·es se questionner, expérimenter et tenter de répondre à toutes sortes de questions commençant par POURQUOI comme de véritables scientifiques.<br>\r\n<br>\r\n<u>Pour qui ?</u><br>\r\n<br>\r\nOuvert à toute personne intéressée qui n'a pas encore suivi la promenade des Pourquoi (qui est différente de celles des Comment).<br>\r\nAdapté pour les familles avec enfants de 6-10 ans.<br>\r\n<br>\r\n<u>Aspects pratiques</u><br>\r\n<br>\r\nLa promenade durera environ 2h, dont 1h de marche effective.<br>\r\nLes enfants sont sous la responsabilité de leurs parents ou d’un adulte accompagnant durant toute la promenade.<br>\r\nGratuit, pas d'inscription préalable.<br>\r\n<br>\r\n<strong>La promenade a lieu par tous les temps. Aucune inscription requise.</strong><br>\r\n<br>\r\n<strong>Départ</strong> : 10h30 arrêt m1 « EPFL » dans le passage sous voie<br>\r\n<strong>Arrivée</strong> : vers 12h30 sous les arches du Rolex Learning Center - EPFL<br>\r\n<br>\r\n<a href=\"https://jexploremaville.ch/events/\">Programme de J'explore ma ville</a></p>",
            "image_description": "",
            "creation_date": "2025-07-25T15:00:00",
            "last_modification_date": "2026-05-19T15:13:47",
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            "speaker": "<a href=\"mailto:[email protected]?subject=Balade%20scientifique%20sur%20le%20campus%20de%20l%27EPFL\">Olivier Renault</a>, le savambulant de l'EPFL et Floriane Nikles, Les promenades de Floriane - <a href=\"https://lespromenadesdefloriane.ch/explore-ma-ville/\">J'explore ma ville</a>",
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            "contact": "<a href=\"mailto:[email protected]?subject=Balade%20scientifique%20sur%20le%20campus%20de%20l%27EPFL\">Olivier Renault</a>, le savambulant de l'EPFL et Floriane Nikles, Les promenades de Floriane - <a href=\"https://lespromenadesdefloriane.ch/explore-ma-ville/\">J'explore ma ville</a>",
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        {
            "id": 70777,
            "title": "Special Seminar - Directed evolution of RNA for self-replication",
            "slug": "special-seminar-directed-evolution-of-rna-for-self",
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            "start_date": "2026-05-29",
            "end_date": "2026-05-29",
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            "description": "<strong>Special Seminar</strong>\r\n<div class=\"elementor-element elementor-element-98cefd8 elementor-widget elementor-widget-heading\">\r\n<div class=\"elementor-widget-container\"><br>\r\nHow did life begin from chemistry? One leading idea is that RNA played a central role because it can act both as genetic material and as a catalyst. A major challenge has been that known RNA polymerase ribozymes, the catalysts of RNA copying, are large and complex, making them difficult to copy and unlikely to arise from prebiotic RNA sequence pools.<br>\r\n<br>\r\nIn this seminar, Edoardo Gianni will present QT45, a compact 45-nucleotide RNA polymerase ribozyme discovered from random RNA sequence pools. QT45 can catalyse the two essential reactions required for RNA self-replication: the synthesis of itself and the synthesis of its complementary strand. This work suggests that RNA-copying activity may be more common in sequence space than previously thought. It also brings us closer to understanding how self-replicating molecular systems could emerge in nature and be reconstructed in the laboratory.<br>\r\n<br>\r\nPlease join us for a fascinating seminar at the interface of origin-of-life chemistry, RNA biology, and synthetic molecular systems.<br>\r\n<br>\r\nLet me know if you would like to meet Edo during the day.</div>\r\n</div>\r\n\r\n<div class=\"elementor-element elementor-element-e552a16 elementor-widget elementor-widget-text-editor\">\r\n<div class=\"elementor-widget-container\"> </div>\r\n</div>",
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            "organizer": "Juan Manuel García-Arcos, PhD, Group Leader, Ambizione Fellow EPFL SV ISREC UPGON",
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            "id": 71888,
            "title": "Optimization of on-demand shared mobility: passenger and freight applications",
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            "lang": "en",
            "start_date": "2026-05-28",
            "end_date": "2026-05-28",
            "start_time": "10:30:00",
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            "description": "<p>Thesis Director: Prof. N. Geroliminis,<br>\r\nCivil and Environmental Engineering doctoral program<br>\r\nThesis Nr. 11281<br>\r\n<br>\r\nTo take part in the public defense, please contact directly the speaker</p>",
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            "creation_date": "2026-05-18T08:45:08",
            "last_modification_date": "2026-05-18T08:45:10",
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            "place_and_room": "SG 0211",
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            "speaker": "<strong>Min Ru WANG</strong>",
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        {
            "id": 71916,
            "title": "AI Center Seminar - AI for Health series - Prof. Li CHEN",
            "slug": "ai-center-seminar-ai-for-health-series-prof-li-c-2",
            "event_url": "https://memento.epfl.ch/event/ai-center-seminar-ai-for-health-series-prof-li-c-2",
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            "lang": "en",
            "start_date": "2026-06-02",
            "end_date": "2026-06-02",
            "start_time": "10:30:00",
            "end_time": "11:30:00",
            "description": "<p>The talk is jointly organized by the <a href=\"https://ai.epfl.ch/\">EPFL AI Center</a> and the EPFL <a href=\"https://www.epfl.ch/labs/gr-pu/\">Human-Computer Interaction Group</a> as part of the AI for Health seminar series.<br>\r\n<br>\r\n<strong><em>Hosting professor: Prof. Pearl Pu (GR-PU)</em></strong><br>\r\n<br>\r\n<strong>Title</strong><br>\r\nBeyond Recommendations: Designing Conversational Music Agents for Self-Awareness and Psychological Well-being<br>\r\n<br>\r\n<strong>Abstract</strong><br>\r\nAs the demand for scalable mental health tools grows, the potential of Large Language Models (LLMs) lies in their ability to move beyond generic retrieval toward deeply adaptive, trustworthy support. This talk explores how music-driven conversational systems can bridge the gap between algorithmic recommendation and psychological intervention. The journey begins with establishing a foundation of trust through user-centric exploration. Using conversational music recommenders as a case study, I will discuss how critiquing strategies—such as progressive and cascading suggestions—shape user perceptions of helpfulness and serendipity. However, because trust is personal, I demonstrate how individual traits, including personality and trust propensity, dictate whether a user thrives under system-led or user-led initiatives.<br>\r\nBuilding on this rapport, the talk examines how these interfaces transition from suggesting songs to fostering psychological well-being. I will illustrate how music acts as a catalyst for self-awareness, using agents to guide users through emotional resonance and self-reflection. Furthermore, I will share findings on the role of generative AI in music-based reminiscence for older adults, where adaptive dialogue helps overcome cognitive barriers to memory recall. Collectively, these studies provide a roadmap for designing AI that moves beyond the playlist, transforming music-based chatbots into sustained partners for emotional and psychological health.<br>\r\n<br>\r\n<strong>Bio</strong><br>\r\nProfessor Li Chen is currently a Full Professor and Associate Head (Research) in the Department of Computer Science at Hong Kong Baptist University (HKBU). She obtained her PhD degree in Computer Science from the Swiss Federal Institute of Technology in Lausanne (EPFL), Switzerland, and her Bachelor's and Master's degrees from Peking University, China. Her recent research focus has mainly been on conversational AI, explainable AI, recommender systems, and human-computer interaction. She has authored and co-authored over 160 publications, with over 13,000 citations (H-index 53). Her co-authored papers have received several awards, such as the RecSys’24 Best Student Paper Award, CHI’22 Honourable Mention Award, UMAP’20 Best Student Paper Award, UMUAI 2018 Best Paper Award, and UMAP’15 Best Student Paper Award. She received the President’s Award for Outstanding Performance in Teaching (Individual) 2024/25 and the President’s Award for Outstanding Performance in Research Supervision 2022/23. She has been included in the list of the world’s top 2% most-cited scientists by Stanford University since 2021, and the list of the Best Computer Science Scientists 2025/2026 by Research.com.<br>\r\n<br>\r\nShe is now an ACM senior member, founding co-editor-in-chief of ACM Transactions on Recommender Systems (TORS), steering committee member of ACM Conference on Recommender Systems (RecSys), associate editor of International Journal of Human-Computer Studies (IJHCS), editorial board member of User Modeling and User-Adapted Interaction Journal (UMUAI), and associate editor of ACM Transactions on Interactive Intelligent Systems (TiiS). She has also served as program co-chair of IUI’26, general co-chair of ACM RecSys’23, program co-chair of ACM RecSys’20, and program co-chair of ACM UMAP’18.<br>\r\n </p>",
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            "id": 71917,
            "title": "Securing Next Generation Cellular Networks",
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            "event_url": "https://memento.epfl.ch/event/securing-next-generation-cellular-networks",
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            "start_date": "2026-06-09",
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            "end_time": "12:30:00",
            "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Nate Foster<br>\r\nThesis advisor: Prof. Mathias Payer<br>\r\nCo-thesis advisor: Prof. Haitham Al Hassanieh<br>\r\nCo-examiner: Prof. Thomas Bourgeat<br>\r\n<br>\r\n<u>Abstract</u><br>\r\nThis thesis studies cellular security from a state-aware, system-level perspective spanning user equipment, access networks, core networks, and higher-layer voice and messaging services. These systems form a distributed, heterogeneous infrastructure whose security depends on complex and largely opaque implementations across the stack. Cellular infrastructure underpins everyday communication, emergency response, transport, and industrial systems, yet existing research often focuses on isolated components or stateless message handling, leaving state-dependent vulnerabilities and cross-component interactions insufficiently explored. <br>\r\n<br>\r\nThis thesis aims to develop methods to infer and explore protocol state in closed and partially observable implementations, combining active automata learning, dynamic analysis, and targeted testing. It begins with baseband firmware and core-network components, then extends across key trust boundaries such as the Radio Interface Layer, non-cellular interworking, and voice and messaging infrastructure. The goal is to identify vulnerabilities arising from logical flaws, memory-safety issues, and inconsistencies in how state and trust are handled across components.<br>\r\n<br>\r\nBuilding on these insights, the thesis derives lightweight hardening for deployed systems, including boundary mediation and flow-based policy validation. By improving how cellular systems are tested and defended, the project strengthens critical infrastructure and Swiss expertise in 5G security.<br>\r\n<br>\r\n<u>Selected papers</u><br>\r\n[1]: <a href=\"https://www.ndss-symposium.org/ndss-paper/auto-draft-200/\">https://www.ndss-symposium.org/ndss-paper/auto-draft-200/</a><br>\r\n[2]:<a href=\"https://www.ndss-symposium.org/ndss-paper/basespec-comparative-analysis-of-baseband-software-and-cellular-specifications-for-l3-protocols/\">https://www.ndss-symposium.org/ndss-paper/basespec-comparative-analysis-of-baseband-software-and-cellular-specifications-for-l3-protocols/</a><br>\r\n[3]:<a href=\"https://www.usenix.org/conference/usenixsecurity25/presentation/dong-yilu\">https://www.usenix.org/conference/usenixsecurity25/presentation/dong-yilu</a><br>\r\n ",
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