Event List
retrieve:
Return the details about the given Event id.
list:
List all Event objects.
GET /api/v1/events/?format=api&offset=190&ordering=-image_description
{ "count": 203, "next": "https://memento.epfl.ch/api/v1/events/?format=api&limit=10&offset=200&ordering=-image_description", "previous": "https://memento.epfl.ch/api/v1/events/?format=api&limit=10&offset=180&ordering=-image_description", "results": [ { "id": 71912, "title": "Brown Bag Seminar in Finance", "slug": "brown-bag-seminar-in-finance-6", "event_url": "https://memento.epfl.ch/event/brown-bag-seminar-in-finance-6", "visual_url": "https://memento.epfl.ch/image/33231/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33231/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33231/max-size.jpg", "lang": "en", "start_date": "2026-09-14", "end_date": "2026-09-14", "start_time": "12:15:00", "end_time": "13:15:00", "description": "", "image_description": "", "creation_date": "2026-05-20T14:42:20", "last_modification_date": "2026-05-20T14:49:50", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "UNIL, Extranef, room 126", "url_place_and_room": "", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "Hao Xing, Boston University Questrom", "organizer": "<a href=\"https://www.bu.edu/questrom/profiles/hao-xing/\">Hao Xing - Boston University Questrom</a>", "contact": "[email protected]", "is_internal": "False", "theme": "", "vulgarization": { "id": 2, "fr_label": "Public averti", "en_label": "Informed public" }, "registration": { "id": 2, "fr_label": "Sur invitation", "en_label": "Invitation required" }, "keywords": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/120814/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/3/?format=api", "https://memento.epfl.ch/api/v1/mementos/39/?format=api", "https://memento.epfl.ch/api/v1/mementos/105/?format=api", "https://memento.epfl.ch/api/v1/mementos/116/?format=api" ] }, { "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", "visual_url": "https://memento.epfl.ch/image/33234/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33234/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33234/max-size.jpg", "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>", "image_description": "", "creation_date": "2026-05-21T11:18:18", "last_modification_date": "2026-05-21T13:50:39", "link_label": "Zoom Link", "link_url": "https://epfl.zoom.us/j/67788354916?pwd=ToPdGZ0KqvykXwRRh4kf2HUJIBz1Pz.1", "canceled": "False", "cancel_reason": "", "place_and_room": "ELE 117", "url_place_and_room": "https://plan.epfl.ch/?room==ELE%20117", "url_online_room": "https://epfl.zoom.us/j/67788354916?pwd=ToPdGZ0KqvykXwRRh4kf2HUJIBz1Pz.1", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "Professor Li Chen", "organizer": "<a href=\"https://ai.epfl.ch/\">EPFL AI Center</a> & <a href=\"https://www.epfl.ch/labs/gr-pu/\">Human-Computer Interaction Group</a> ", "contact": "Nicolas Machado", "is_internal": "False", "theme": "", "vulgarization": { "id": 1, "fr_label": "Tout public", "en_label": "General public" }, "registration": { "id": 3, "fr_label": "Entrée libre", "en_label": "Free" }, "keywords": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/120821/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/8/?format=api", "https://memento.epfl.ch/api/v1/mementos/27/?format=api", "https://memento.epfl.ch/api/v1/mementos/416/?format=api" ] }, { "id": 71917, "title": "Securing Next Generation Cellular Networks", "slug": "securing-next-generation-cellular-networks", "event_url": "https://memento.epfl.ch/event/securing-next-generation-cellular-networks", "visual_url": null, "visual_large_url": null, "visual_maxsize_url": null, "lang": "en", "start_date": "2026-06-09", "end_date": "2026-06-09", "start_time": "10:30:00", "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 ", "image_description": "", "creation_date": "2026-05-21T13:32:02", "last_modification_date": "2026-05-22T10:07:52", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "BC 133", "url_place_and_room": "https://plan.epfl.ch/?room==BC%20133", "url_online_room": "", "spoken_languages": [], "speaker": "Eduard Vlad", "organizer": "", "contact": "edic@epfl,ch", "is_internal": "False", "theme": "", "vulgarization": { "id": 1, "fr_label": "Tout public", "en_label": "General public" }, "registration": { "id": 3, "fr_label": "Entrée libre", "en_label": "Free" }, "keywords": "EDIC candidacy exam", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/120822/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/27/?format=api", "https://memento.epfl.ch/api/v1/mementos/48/?format=api" ] }, { "id": 71918, "title": "Brain-wide representations of olfactory behavior in C. elegans", "slug": "brain-wide-representations-of-olfactory-behavior-i", "event_url": "https://memento.epfl.ch/event/brain-wide-representations-of-olfactory-behavior-i", "visual_url": "https://memento.epfl.ch/image/33235/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33235/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33235/max-size.jpg", "lang": "en", "start_date": "2026-06-08", "end_date": "2026-06-08", "start_time": "14:30:00", "end_time": "15:30:00", "description": "<p>Abstract:<br>\r\nOlfactory navigation emerges from dynamic interactions among sensory input, brain activity, and the animal’s own movements. In C. elegans, a compact nervous system enables brain-wide imaging in behaving animals exposed to controlled olfactory environments, and undulatory locomotion reduces navigation to transitions among forward runs, reversals, and turns. Here, we used brain-wide tracking microscopy to record neural activity in freely crawling worms navigating spatial odor gradients or isotropic environments, and in immobilized worms responding to temporal odor pulses. Across conditions, we identified strongly correlated brain-wide activity patterns spanning olfactory sensory neurons, interneurons, and premotor neurons. Motor-state transitions and brain-wide correlation structure differed between freely moving and immobilized animals, demonstrating that olfactory sensory representations depend jointly on sensory input, motor activity, and behavioral context. Together, these findings show that brain-wide representations of olfactory behavior are extensively reconfigured by sensory input, self-motion, and behavioral context.<br>\r\n </p>", "image_description": "", "creation_date": "2026-05-21T13:36:09", "last_modification_date": "2026-05-21T13:36:09", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "GA 3 21", "url_place_and_room": "https://plan.epfl.ch/?room==GA%203%2021", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "Prof. Aravinthan Samuel <[email protected]>\r\n\r\nDepartment of Physics & Center for Brain Science, Harvard University", "organizer": "Prof. Sahand Jamal Rahi <[email protected]>\r\n\r\nJohanni Brea <[email protected]>", "contact": "Prof. Sahand Jamal Rahi <[email protected]>\r\n\r\nJohanni Brea <[email protected]>", "is_internal": "False", "theme": "", "vulgarization": { "id": 2, "fr_label": "Public averti", "en_label": "Informed public" }, "registration": { "id": 1, "fr_label": "Sur inscription", "en_label": "Registration required" }, "keywords": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/120823/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/9/?format=api", "https://memento.epfl.ch/api/v1/mementos/111/?format=api" ] }, { "id": 71919, "title": "MEchanics GAthering –MEGA- Seminar: Navigating the shift from academia to the industrial sector", "slug": "mechanics-gathering-mega-seminar-navigating-the-sh", "event_url": "https://memento.epfl.ch/event/mechanics-gathering-mega-seminar-navigating-the-sh", "visual_url": "https://memento.epfl.ch/image/33236/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33236/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33236/max-size.jpg", "lang": "en", "start_date": "2026-05-28", "end_date": "2026-05-28", "start_time": "13:05:00", "end_time": "14:00:00", "description": "<strong>Abstract:</strong> What does it mean to move from an academic career into industry after a PhD or postdoctoral experience? Which skills transfer naturally, which challenges emerge along the way, and how can scientists prepare for the shift?<br>\r\nIn this seminar, two speakers from different scientific backgrounds will share their personal journeys from academia to industry.They will offer honest, complementary perspectives on leaving university research, exploring the practical realities, challenges, and distinct working cultures of the industry sector.<br>\r\nThrough their experiences, participants will gain practical insights into recruitment processes, workplace expectations, and the opportunities available to scientists in industry.<br>\r\n<br>\r\n<strong>Tristans's Bio: </strong>I got a PhD in aeronautical Engineering in 2011 from KTH, Stockholm, Sweden, with a thesis on Aerodynamics simulations of ground vehicles in unsteady crosswind.<br>\r\nAfter this, I worked with various Formula One teams from 2012 to 2025, starting as a CFD Engineer and moving to an Aerodynamicist role in 2014. Between 2022 and 2025, I have been involved in the development of the British Challenger for the 37th America’s Cup (iconic Yacht competition), leading the Fluid Dynamics team towards the end.<br>\r\nSince summer 2025, I am a scientist at LFMI on a FNS funded project “Why do albatrosses and pelicans morph to an arch-shaped wing configuration when gliding near the water surface?”.<strong> <br>\r\n<br>\r\nBertrand's Bio: </strong>After completing an Aerospace Engineering degree from ISAE-SUPAERO (Toulouse, France) and Université de Toulouse, where I specialized on Earth observation, numerical modeling and climate science, I completed my PhD at Météo-France's Center for Snow Studies (CEN, Grenoble, France). I worked for four years as a postdoc at the Snow and Avalanche Research Lab (SLF, Davos, Switzerland), at the interface between research and operational flood forecasting. Since 2025, I joined Hydrique Ingénieurs, in Lausanne, where I do numerical modeling for various projects related to water resources management and flood forecasting.<br>\r\n<br>\r\nThe talk will be followed by an informal apero!<br>\r\n ", "image_description": "", "creation_date": "2026-05-21T15:33:37", "last_modification_date": "2026-05-22T16:07:51", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "ME B1 10", "url_place_and_room": "https://plan.epfl.ch/?room==ME%20B1%2010", "url_online_room": "https://epfl.zoom.us/j/68096021948?pwd=DiE8amDIwYw1u3VtW2xWNGKtioKL2y.1", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "<a href=\"https://people.epfl.ch/tristan.favre?lang=en\">Tristan Favre</a> (<a href=\"https://lfmi.epfl.ch/\">LFMI</a>, EPFL), Bertrand Cluzet (<a href=\"https://hydrique.ch/fr\">Hydrique Ingénieurs</a>)", "organizer": "MEGA.Seminar Organizing Committee", "contact": "<a href=\"http://[email protected]/\">Aliénor Riviere</a>, <a href=\"http://[email protected]/\">Danick Lamoureux</a>, <a href=\"http://[email protected]/\">Jacopo Bilotto</a>", "is_internal": "False", "theme": "", "vulgarization": { "id": 1, "fr_label": "Tout public", "en_label": "General public" }, "registration": { "id": 3, "fr_label": "Entrée libre", "en_label": "Free" }, "keywords": "Career Development, Transferable Skills", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/120824/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/232/?format=api", "https://memento.epfl.ch/api/v1/mementos/245/?format=api" ] }, { "id": 71920, "title": "Engineering dynamic behaviors in computationally designed proteins", "slug": "engineering-dynamic-behaviors-in-computationally-2", "event_url": "https://memento.epfl.ch/event/engineering-dynamic-behaviors-in-computationally-2", "visual_url": "https://memento.epfl.ch/image/33237/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33237/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33237/max-size.jpg", "lang": "en", "start_date": "2026-07-03", "end_date": "2026-07-03", "start_time": "17:00:00", "end_time": null, "description": "<p>Thesis Director: Prof. B. E. Ferreira De Sousa Correia,<br>\r\nChemistry and Chemical Engineering doctoral program<br>\r\nThesis Nr. 11408<br>\r\n<br>\r\nTo take part in the public defense, please contact directly the speaker</p>", "image_description": "", "creation_date": "2026-05-21T15:42:42", "last_modification_date": "2026-05-21T15:42:44", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "MXF 010", "url_place_and_room": "https://plan.epfl.ch/?room==MXF%20010", "url_online_room": "", "spoken_languages": [], "speaker": "<a href=\"mailto:[email protected]\"><strong>Maddalena ELIA</strong></a>", "organizer": "", "contact": "<a href=\"mailto:[email protected]\"><strong>Maddalena ELIA</strong></a><br>\r\n ", "is_internal": "False", "theme": "", "vulgarization": { "id": 1, "fr_label": "Tout public", "en_label": "General public" }, "registration": { "id": 3, "fr_label": "Entrée libre", "en_label": "Free" }, "keywords": "EDCH", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/120826/", "category": { "id": 12, "code": "SOUTE", "fr_label": "Soutenances de thèses", "en_label": "Thesis defenses", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/1/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/9/?format=api" ] }, { "id": 71921, "title": "A theory of novelty and exploration in naturalistic environments", "slug": "a-theory-of-novelty-and-exploration-in-naturalis-2", "event_url": "https://memento.epfl.ch/event/a-theory-of-novelty-and-exploration-in-naturalis-2", "visual_url": "https://memento.epfl.ch/image/33238/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33238/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33238/max-size.jpg", "lang": "en", "start_date": "2026-06-05", "end_date": "2026-06-05", "start_time": "17:00:00", "end_time": null, "description": "<p>Thesis Director: Prof. W. Gerstner,<br>\r\nNeuroscience doctoral program<br>\r\nThesis Nr. 11158<br>\r\n<br>\r\nTo take part in the public defense, please contact directly the speaker</p>", "image_description": "", "creation_date": "2026-05-21T15:45:30", "last_modification_date": "2026-05-21T15:45:31", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "BM 5202", "url_place_and_room": "https://plan.epfl.ch/?room==BM%205202", "url_online_room": "https://epfl.zoom.us/j/64596043536", "spoken_languages": [], "speaker": "<strong>Sophia BECKER</strong>", "organizer": "", "contact": "<strong>Sophia BECKER</strong>", "is_internal": "False", "theme": "", "vulgarization": { "id": 1, "fr_label": "Tout public", "en_label": "General public" }, "registration": { "id": 3, "fr_label": "Entrée libre", "en_label": "Free" }, "keywords": "EDNE", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/120828/", "category": { "id": 12, "code": "SOUTE", "fr_label": "Soutenances de thèses", "en_label": "Thesis defenses", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/1/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/9/?format=api" ] }, { "id": 71922, "title": "U.S. CDMRP – Alzheimer's Research Program | Research Funding", "slug": "us-cdmrp-alzheimer-s-research-program-research-fun", "event_url": "https://memento.epfl.ch/event/us-cdmrp-alzheimer-s-research-program-research-fun", "visual_url": "https://memento.epfl.ch/image/33239/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33239/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33239/max-size.jpg", "lang": "en", "start_date": "2026-06-22", "end_date": "2026-06-22", "start_time": null, "end_time": null, "description": "<strong>Aim</strong>: Through the Congressionally Directed Medical Research Program (CDMRP), the Department of Defense is announcing the 2026 <strong>Alzheimer's Research Program (AZRP) </strong>Awards. Several award programs are available:\r\n<ul>\r\n\t<li>The <strong>Transforming Care Award </strong>aims to support well-designed, non-incremental clinical research that develops and implements interventions, innovations, and solutions to address critical challenges in dementia care. Projects should lead to improved quality of life, reduced caregiver burden and stress, and enhanced care delivery and outcomes for individuals living with AD/ADRD.</li>\r\n\t<li>The <strong>Transforming Diagnosis Award </strong>supports non-incremental, solution-oriented research that addresses critical barriers to timely and accurate diagnosis, disease monitoring, and prognosis in AD/ADRD. Projects should demonstrate clear potential to improve accessibility, clinical implementation, and the reliability of diagnostic and prognostic approaches.</li>\r\n\t<li>The <strong>Transforming Research Award </strong>supports non-incremental, high-impact research that aims to drive transformative advances in reducing risk and preventing the development of AD/ADRD. Projects should demonstrate strong potential to accelerate prevention strategies and deliver meaningful improvements in patient outcomes and quality of life.<strong> </strong>All projects must respond to one of the focus areas listed <a href=\"https://ebrap.org/eBRAP/public/ViewFile.htm?fileId=36241238&fileType=pdf\">here</a>.</li>\r\n</ul>\r\n<strong>Funding</strong>:\r\n\r\n<ul>\r\n\t<li>Transforming Care Award: $1.6M - $1.9M</li>\r\n\t<li>Transforming Diagnosis Award: $1.5M - $1.7M</li>\r\n\t<li>Transforming Research Award: max. $1M</li>\r\n</ul>\r\n<br>\r\n<sub>Note: Cost caps are <strong>total costs (direct plus indirect costs). </strong>In accordance with EPFL guidelines, budgets should include a 20% overhead, and the total budget must remain within the grant’s maximum allowable funding</sub><br>\r\n<br>\r\n<br>\r\n<strong>Duration</strong>: \r\n\r\n<ul>\r\n\t<li>Transforming Care Award: 4 years</li>\r\n\t<li>Transforming Diagnosis Award: 4 years</li>\r\n\t<li>Transforming Research Award: 3 years</li>\r\n</ul>\r\n<strong>Eligibility: </strong>Applicants from international organizations or institutions are eligible to apply, and there are no citizenship restrictions. Program-specific seniority levels and eligibility criteria are further defined within each award mechanism <a href=\"https://ebrap.org/eBRAP/public/ViewFile.htm?fileId=36243245&fileType=pdf\">here</a>.<br>\r\n<br>\r\n<strong>How to Apply</strong>: Pre-applications are submitted through the <a href=\"https://ebrap.org/eBRAP/public/index.htm\">eBRAP platform</a>. They should contain contact information, a letter of intent, and a list of collaborators and key personnel as suggested on the platform. Full applications will be made via a Grants.gov workspace.<br>\r\n<br>\r\n<strong>Pre-Application Deadline: 22 June 2026, </strong>5:00 p.m. Eastern time<br>\r\n<strong>Full Application Deadline</strong>: <strong>24 September 2026</strong>, 11:59 p.m Eastern Time<br>\r\n<br>\r\n<strong>Further information:</strong>\r\n\r\n<ul>\r\n\t<li>To find the full program announcements and to start your pre-application see <a href=\"https://ebrap.org/eBRAP/public/ProgramFY.htm?programFYId=719106\">here</a></li>\r\n\t<li>A useful summary of each call can be found <a href=\"https://ebrap.org/eBRAP/public/ViewFile.htm?fileId=36243245&fileType=pdf\">here</a></li>\r\n\t<li>For questions about the eBRAP or Grants.gov platforms, contact the <a href=\"mailto:[email protected]\">Research Office</a></li>\r\n\t<li>Grants.gov Funding Opportunity Numbers:\r\n\t<ul>\r\n\t\t<li>Transforming Care Award: <a href=\"https://ebrap.org/eBRAP/public/ViewFile.htm?fileId=36241229&fileType=pdf\">HT942526AZRPTRCA</a></li>\r\n\t\t<li>Transforming Diagnosis Award: <a href=\"https://ebrap.org/eBRAP/public/ViewFile.htm?fileId=36241231&fileType=pdf\">HT942526AZRPTRDA</a></li>\r\n\t\t<li>Transforming Research Award: <a href=\"https://ebrap.org/eBRAP/public/ViewFile.htm?fileId=36241238&fileType=pdf\">HT942526AZRPTRRA</a></li>\r\n\t</ul>\r\n\t</li>\r\n</ul>", "image_description": "", "creation_date": "2026-05-21T16:12:42", "last_modification_date": "2026-05-21T16:12:42", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "", "url_place_and_room": "", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "", "organizer": "", "contact": "<a href=\"mailto:[email protected]\">Research Office</a>", "is_internal": "False", "theme": "", "vulgarization": { "id": 1, "fr_label": "Tout public", "en_label": "General public" }, "registration": { "id": 3, "fr_label": "Entrée libre", "en_label": "Free" }, "keywords": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/120829/", "category": { "id": 16, "code": "PROP", "fr_label": "Appel à proposition", "en_label": "Call for proposal", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/9/?format=api", "https://memento.epfl.ch/api/v1/mementos/140/?format=api" ] }, { "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, "visual_large_url": null, "visual_maxsize_url": null, "lang": "en", "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": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "BC 333", "url_place_and_room": "https://plan.epfl.ch/?room==BC%20333", "url_online_room": "", "spoken_languages": [], "speaker": "Edouard Dufour", "organizer": "", "contact": "[email protected]", "is_internal": "False", "theme": "", "vulgarization": { "id": 1, "fr_label": "Tout public", "en_label": "General public" }, "registration": { "id": 3, "fr_label": "Entrée libre", "en_label": "Free" }, "keywords": "EDIC candidacy exam", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/120837/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/48/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/27/?format=api" ] }, { "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, "visual_maxsize_url": null, "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": "", "canceled": "False", "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": "", "contact": "[email protected]", "is_internal": "False", "theme": "", "vulgarization": { "id": 1, "fr_label": "Tout public", "en_label": "General public" }, "registration": { "id": 3, "fr_label": "Entrée libre", "en_label": "Free" }, "keywords": "EDIC candidacy exam", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/120838/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/48/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/27/?format=api" ] } ] }
