retrieve:
Return the details about the given Event id.

list:
List all Event objects.

GET /api/v1/events/?format=api&offset=110&ordering=-event__place_and_room
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
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            "id": 70955,
            "title": "Bridging Biomolecular Simulations and Experiments Across Time and Length Scales: from Single Molecules to Entire Organelles",
            "slug": "bridging-biomolecular-simulations-and-experiments",
            "event_url": "https://memento.epfl.ch/event/bridging-biomolecular-simulations-and-experiments",
            "visual_url": "https://memento.epfl.ch/image/32343/200x112.jpg",
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            "start_date": "2026-09-14",
            "end_date": "2026-09-17",
            "start_time": null,
            "end_time": null,
            "description": "<p>You can apply to participate and find all the relevant information (speakers, abstracts, program,...) on the event website: <a href=\"https://www.cecam.org/workshop-details/bridging-biomolecular-simulations-and-experiments-across-time-and-length-scales-from-single-molecules-to-entire-organelles-1493\">https://www.cecam.org/workshop-details/bridging-biomolecular-simulations-and-experiments-across-time-and-length-scales-from-single-molecules-to-entire-organelles-1493</a>.<br>\r\n<br>\r\nRegistration is required to attend the full event, take part in the social activities and present a poster at the poster session (if any).  However, the EPFL community is welcome to attend specific lectures without registration if the topic is of interest to their research. Do not hesitate to contact the <a href=\"mailto:[email protected]\">CECAM Event Manager</a> if you have any question.<br>\r\n<br>\r\n<strong>Description</strong><br>\r\n<br>\r\nMolecular simulations are firmly established as a central tool in the life sciences over the last few decades. This is evident from the now-standard use of molecular dynamics simulations by molecular biologists and biophysicists, and the remarkable success of AlphaFold, which has convinced even the most skeptical of the critical role of these methods in contemporary biological research.<br>\r\nHowever, new challenges are emerging. It is increasingly apparent that to understand biomolecular function, we must move beyond studying isolated molecules. The focus is now shifting towards examining large, dynamic complexes of biomolecules within their complex native environments, complete with post-translational modifications. Embracing this complexity is crucial for understanding how biological functions and cellular structures emerge and adapt.<br>\r\nThis workshop will address existing and emerging frontiers, discussing both current challenges and the future of molecular simulations needed to meet them. It will gather simulation experts that have been actively developing methods that can increase simulation accuracy and extend their applicability range across multiple scales, as well as experimentalists performing advanced studies that can address outstanding challenges occurring at computationally accessible time and length scales. A main aim will be to discuss how to improve the accuracy of simulations, integrate simulations and cutting-edge experiments, and how to best take advantage of innovative enhanced sampling and machine learning-based approaches.<br>\r\nThe workshop will seize the opportunity to celebrate the outstanding scientific achievements of Gerhard Hummer, a prominent leader in the field, on his sixty’s birthday. Many of the participants that have already expressed their intention to attend and support the workshop or past or current theoretical and experimental scientist that have been either collaborators and co-authors, mentored by, or inspired by Gerhard’s ideas and expertise.</p>",
            "image_description": "",
            "creation_date": "2026-01-26T15:39:35",
            "last_modification_date": "2026-01-26T16:44:37",
            "link_label": "Bridging Biomolecular Simulations and Experiments Across Time and Length Scales: from Single Molecul",
            "link_url": "https://www.cecam.org/workshop-details/bridging-biomolecular-simulations-and-experiments-across-time-and-length-scales-from-single-molecules-to-entire-organelles-1493",
            "canceled": "False",
            "cancel_reason": "",
            "place_and_room": "BCH 2103",
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            "organizer": "<strong>Nicolae-Viorel Buchete</strong>, University College Dublin ; <strong>Pilar Cossio</strong>, Flatiron Institute ; <strong>Roberto Covino</strong>, Goethe University Frankfurt -- Frankfurt Institute for Advanced Studies ; <strong>Ville Kaila</strong>, Stockholm University ; <strong>Edina Rosta</strong>, University College London",
            "contact": "<a href=\"mailto:[email protected]\"><strong>Cornelia Bujenita</strong></a>, CECAM Events and Operations Manager",
            "is_internal": "False",
            "theme": "",
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            "id": 71849,
            "title": "Decentralized by Design: Efficient, Trustworthy, and Scalable Collaborative AI",
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            "event_url": "https://memento.epfl.ch/event/decentralized-by-design-efficient-trustworthy-an-2",
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            "start_date": "2026-09-03",
            "end_date": "2026-09-03",
            "start_time": "17:00:00",
            "end_time": null,
            "description": "<p>Thesis Director: Prof. A.-M. Kermarrec,<br>\r\nComputer and Communication Sciences doctoral program<br>\r\nThesis Nr. 11369<br>\r\n<br>\r\nTo take part in the public defense, please contact directly the speaker</p>",
            "image_description": "",
            "creation_date": "2026-05-12T12:10:37",
            "last_modification_date": "2026-05-12T12:10:40",
            "link_label": "",
            "link_url": "",
            "canceled": "False",
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            "speaker": "<a href=\"mailto:[email protected]\"><strong>Rishi SHARMA</strong></a>",
            "organizer": "",
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        {
            "id": 71884,
            "title": "Inverse Rendering: From Surfaces to Continuous Formulations",
            "slug": "inverse-rendering-from-surfaces-to-continuous-fo-2",
            "event_url": "https://memento.epfl.ch/event/inverse-rendering-from-surfaces-to-continuous-fo-2",
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            "lang": "en",
            "start_date": "2026-06-10",
            "end_date": "2026-06-10",
            "start_time": "17:00:00",
            "end_time": null,
            "description": "<p>Thesis Director: Prof. W. A. Jakob,<br>\r\nComputer and Communication Sciences doctoral program<br>\r\nThesis Nr. 11469<br>\r\n<br>\r\nTo take part in the public defense, please contact directly the speaker</p>",
            "image_description": "",
            "creation_date": "2026-05-13T15:01:14",
            "last_modification_date": "2026-05-13T15:01:30",
            "link_label": "",
            "link_url": "",
            "canceled": "False",
            "cancel_reason": "",
            "place_and_room": "BC 420",
            "url_place_and_room": "https://plan.epfl.ch/?room==BC%20420",
            "url_online_room": "",
            "spoken_languages": [],
            "speaker": "<a href=\"mailto:[email protected]\"><strong>Ziyi ZHANG</strong></a>",
            "organizer": "",
            "contact": "<a href=\"mailto:[email protected]\"><strong>Ziyi ZHANG</strong></a><br>\r\n ",
            "is_internal": "False",
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            "file": null,
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                "id": 12,
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        {
            "id": 71891,
            "title": "Kilian's Protocol and Beyond: On Constructions and Limitations of Succinct Arguments",
            "slug": "kilian-s-protocol-and-beyond-on-constructions-an-2",
            "event_url": "https://memento.epfl.ch/event/kilian-s-protocol-and-beyond-on-constructions-an-2",
            "visual_url": "https://memento.epfl.ch/image/33209/200x112.jpg",
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            "lang": "en",
            "start_date": "2026-06-03",
            "end_date": "2026-06-03",
            "start_time": "17:00:00",
            "end_time": null,
            "description": "<p>Thesis Directors: Prof. A. Chiesa, Prof. M. T. Göös<br>\r\nComputer and Communication Sciences doctoral program<br>\r\nThesis Nr. 11413<br>\r\n<br>\r\nTo take part in the public defense, please contact directly the speaker</p>",
            "image_description": "",
            "creation_date": "2026-05-18T10:32:31",
            "last_modification_date": "2026-05-18T10:32:33",
            "link_label": "",
            "link_url": "",
            "canceled": "False",
            "cancel_reason": "",
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            "url_place_and_room": "https://plan.epfl.ch/?room==BC%20420",
            "url_online_room": "",
            "spoken_languages": [],
            "speaker": "<a href=\"mailto:[email protected]\"><strong>Ziyi GUAN</strong></a>",
            "organizer": "",
            "contact": "<a href=\"mailto:[email protected]\"><strong>Ziyi GUAN</strong></a><br>\r\n ",
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            "keywords": "EDIC",
            "file": null,
            "icalendar_url": "https://memento.epfl.ch/event/export/120784/",
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                "id": 12,
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        {
            "id": 71626,
            "title": "Persona Formation in LLMs: Pretraining Origins, Alignment Persistence, and Safety Implications",
            "slug": "persona-formation-in-llms-pretraining-origins-alig",
            "event_url": "https://memento.epfl.ch/event/persona-formation-in-llms-pretraining-origins-alig",
            "visual_url": "https://memento.epfl.ch/image/32954/200x112.jpg",
            "visual_large_url": "https://memento.epfl.ch/image/32954/720x405.jpg",
            "visual_maxsize_url": "https://memento.epfl.ch/image/32954/max-size.jpg",
            "lang": "en",
            "start_date": "2026-06-08",
            "end_date": "2026-06-08",
            "start_time": "10:00:00",
            "end_time": "12:00:00",
            "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Martin Jaggi<br>\r\nThesis advisor: Prof. Bob West<br>\r\nCo-examiner: Prof. Antoine Bosselut<br>\r\n<br>\r\n<u>Abstract</u><br>\r\ncoming soon<br>\r\n<br>\r\n<u>Selected papers</u>\r\n<ul>\r\n\t<li>\r\n\t<ul>\r\n\t\t<li>Safety Pretraining: Toward the Next Generation of Safe AI<br>\r\n\t\t(<a href=\"https://arxiv.org/abs/2504.16980\">https://arxiv.org/abs/2504.16980</a>)</li>\r\n\t\t<li>Persona Vectors: Monitoring and Controlling Character Traits in Language Models (<a href=\"https://arxiv.org/abs/2507.21509\">https://arxiv.org/abs/2507.21509</a>)</li>\r\n\t\t<li>The Assistant Axis: Situating and Stabilizing the Default Persona of Language Models (<a href=\"https://arxiv.org/abs/2601.10387v1\">https://arxiv.org/abs/2601.10387v1</a>)</li>\r\n\t</ul>\r\n\t</li>\r\n</ul>",
            "image_description": "",
            "creation_date": "2026-04-17T13:31:08",
            "last_modification_date": "2026-04-20T11:56:35",
            "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": "Viktor Moskvoretskii",
            "organizer": "",
            "contact": "[email protected]",
            "is_internal": "False",
            "theme": "",
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            "keywords": "EDIC candidacy exam",
            "file": null,
            "icalendar_url": "https://memento.epfl.ch/event/export/120418/",
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            "id": 71877,
            "title": "Aligning Models Throughout Training",
            "slug": "aligning-models-throughout-training",
            "event_url": "https://memento.epfl.ch/event/aligning-models-throughout-training",
            "visual_url": "https://memento.epfl.ch/image/33199/200x112.jpg",
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            "lang": "en",
            "start_date": "2026-06-18",
            "end_date": "2026-06-18",
            "start_time": "13:00:00",
            "end_time": "15:00:00",
            "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Martin Jaggi<br>\r\nThesis advisor: Prof. Robert West<br>\r\nCo-examiner: Prof. Nicolas Flammarion<br>\r\n<br>\r\n<u>Abstract</u><br>\r\ncoming soon<br>\r\n<br>\r\n<u>Selected papers</u><br>\r\ncoming soon",
            "image_description": "",
            "creation_date": "2026-05-13T12:37:39",
            "last_modification_date": "2026-05-13T12:37:39",
            "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": "Raghav Singhal",
            "organizer": "",
            "contact": "[email protected]",
            "is_internal": "False",
            "theme": "",
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                "id": 1,
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            "keywords": "EDIC candidacy exam",
            "file": null,
            "icalendar_url": "https://memento.epfl.ch/event/export/120764/",
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                "id": 1,
                "code": "CONF",
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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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            "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",
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            "spoken_languages": [],
            "speaker": "Edouard Dufour",
            "organizer": "",
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            "id": 71933,
            "title": "Controlling and Guiding Generative Models for Three-Dimensional Shape Optimization",
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            "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Martin Rajman<br>\r\nThesis advisor: Prof. Pascal Fua<br>\r\nCo-examiner: Prof. Mark Pauly<br>\r\n<br>\r\n<u>Abstract</u><br>\r\nOptimizing 3D shapes within the latent spaces of deep generative models is fundamental to computer assisted engineering, yet remains prone to a critical failure mode we term manifold drift: the tendency of gradient-based optimization to move latent vectors away from the manifold of valid shapes. This problem is exacerbated in state-of-the-art 3D shape generative models that operate in increasingly high-dimensional latent spaces where valid shapes occupy a vanishingly small fraction of the full space. Existing mitigation strategies, including latent regularization and flow-matching approaches, either sacrifice expressiveness, demand a difficult trade-off between objective guidance and generative fidelity that remains prone to manifold drift, or are computationally infeasible to scale to modern, large-capacity 3D shape models. We introduce a novel optimizer-corrector framework that alternates between gradient steps for objective minimization and guided flow matching to drive the latent state back to the valid shape manifold. By decoupling objective minimization from flow-based correction, optimizing freely and correcting strictly, this alternating design avoids inherent trade-offs, preserving geometric validity without sacrificing expressiveness while remaining computationally feasible on modern 3D shape models. We demonstrate its effectiveness across generative priors of varying complexity, from simple vector latent spaces to large-scale architectures across a variety of downstream optimization tasks, including aerodynamic drag reduction and object compliance optimization.<br>\r\n<br>\r\n<u>Selected papers</u><br>\r\n ",
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        {
            "id": 71746,
            "title": "Control Policy and Shape Co-Design",
            "slug": "control-policy-and-shape-co-design",
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            "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Mark Pauly<br>\r\nThesis advisor: Prof. Pascal Fua<br>\r\nCo-examiner: Prof. Colin Jones<br>\r\n<br>\r\n<u>Abstract</u><br>\r\ncoming soon<br>\r\n<br>\r\n<u>Selected papers</u>\r\n<ul>\r\n\t<li><em>Developing a Co-Design Framework for Hypersonic Vehicle Aerodynamics and Trajectory </em><a href=\"https://arc.aiaa.org/doi/10.2514/6.2024-0238\" title=\"https://arc.aiaa.org/doi/10.2514/6.2024-0238\">[link]</a></li>\r\n\t<li><em>Co-Design Optimisation of Morphing Topology and Control of Winged Drones </em><a href=\"https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10611506\" title=\"https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10611506\">[link]</a></li>\r\n\t<li><em>Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification </em><a href=\"https://pdf.sciencedirectassets.com/271897/1-s2.0-S1367578825X00031/1-s2.0-S1367578826000015/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjED8aCXVzLWVhc3QtMSJGMEQCIGWdZsRooNaRSE9Jvm42gFGma19EDUmA%2F6qh9vRVW79eAiBVOd6jClS4f9hZhP74JWxrBGX3h6wFijICbZSAIAGQRiqyBQgHEAUaDDA1OTAwMzU0Njg2NSIM%2F2qu0CW5XnqjqmccKo8Fayr5Tlv%2BM%2FslOsihSWoNqXNS8Pgnao%2FdAGPJo2VJcHgcd9rpFY8Bc3Sp%2FEMv3tklkQCEoAQN%2FKyZ4wzymNg%2Fh11UG9YphufDs3wh19sV5ZjoMolctx4w9%2BQunLXlmS2cd2G83Le2hXhCMgWwI1Vxo9j5TfP9ChdPn5OvaCfNFDG1jhuhFWpD7lOs%2F1oaVoSVof4iPSEFs8nh7mUSFeNZizYkGDGdg4qjQB49x8TPzCPhiguiYxjXYyUjDZReKclPXS8mHy4PrHBk5y1%2F371DbHLKPLa3NhYSpkhIH7EEyWhiTWwXY8S5vRWX%2F619m7LyFisF61Ojks6SxmFdZQCKJ4OX0vR45zRbJIcodzFWDSZR65HdAXWbOuXj9IpQED5EpC0Uw4ehRobahFmdwwPskJ8qPTJg8Uj2sQI2onqy5%2F9o86fk87qgZrHrfKezmNoG5dzpz7bd%2FIq26xJ94RDpsgntiimjhQABdSVugnPAckZ7r9QvFiUJ3wrLV3JmhIbFzMJaG%2F0kf%2FmNf%2Btx3DB01VFYRk3E32j7qkmuDeYKaIYyDRmsrMwUhoow3KbntpsK7x9Lr9CYijUIUMYftG7HFuzoWOUyB2rIxuQQtkEF9POY%2Btl5VQcA3nIJ2OIsCuaGyUYhRczKz66e9TUU1LVQGk4MuXeu5QQiMghj%2FuWRZr9Jtkz44eJsrdVhdyeggsOy7vj3ipLR3t5b%2F0YJ1HUPzaYjrsAtQIPdeS%2FvjAJt2XsfZXOHM5cf2pvWw9sKM62dqnZkePmVm9IdpnH5kJc%2BbSsYtTlX0NvTtYduGzjn622WgKEMqg6QoKGHVH1opHOgRCXmjeW0s9bZ%2BA8X87GZRpY6uGX%2BvTKdabrIo3wi5zDx5MvPBjqyAXiQqZ%2FuLieJ5LH3JrfhIjOcsc2QDriCkds7r2G25UPv96CCMpPmgWYyWf6yp1YXBRMqWZjCrmb1IyiF1bTHe%2FojoM3%2Ft3ECJ4Jp9TBAscMvymXYDsuNw%2BHBbZEy8%2FkKdBl%2FzTk4Vo9s%2Bsv62VoZDmBtIOnhXzwTNdAe46xv1ay1A%2Ffq61jSf45%2BAS2ifn%2FCXIw%2Bt8nP%2FuiP4d6xN3zFLlWu%2B%2BPF7hQsXS5bGSbgpiZ5SV0%3D&amp;X-Amz-Algorithm=AWS4-HMAC-SHA256&amp;X-Amz-Date=20260430T071347Z&amp;X-Amz-SignedHeaders=host&amp;X-Amz-Expires=300&amp;X-Amz-Credential=ASIAQ3PHCVTY6G7L7JZ7%2F20260430%2Fus-east-1%2Fs3%2Faws4_request&amp;X-Amz-Signature=16b74f5ed082681d7b1166d729aac7886cc60232acd7e769ece224358496a9a2&amp;hash=b0e49fc41b616214d8d1147210f05c37d78da2a9936148b9faebbeb914e9b590&amp;host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&amp;pii=S1367578826000015&amp;tid=spdf-e5ddd93b-3eb0-4ff4-8c47-ebbcb2e2115a&amp;sid=4c9100ad4590a444994ad633e1000a43eccbgxrqb&amp;type=client&amp;tsoh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&amp;rh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&amp;ua=19075a0152510400085f&amp;rr=9f44bef12e9d3b5e&amp;cc=ch\" title=\"https://pdf.sciencedirectassets.com/271897/1-s2.0-S1367578825X00031/1-s2.0-S1367578826000015/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjED8aCXVzLWVhc3QtMSJGMEQCIGWdZsRooNaRSE9Jvm42gFGma19EDUmA%2F6qh9vRVW79eAiBVOd6jClS4f9hZhP74JWxrBGX3h6wFijICbZSAIAGQRi\">[link]</a></li>\r\n</ul>",
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        {
            "id": 71747,
            "title": "Computational Design and Optimization for Physically Intelligent Systems",
            "slug": "computational-design-and-optimization-for-physical",
            "event_url": "https://memento.epfl.ch/event/computational-design-and-optimization-for-physical",
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            "start_date": "2026-05-29",
            "end_date": "2026-05-29",
            "start_time": "13:00:00",
            "end_time": "15:00:00",
            "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Wenzel Jakob<br>\r\nThesis advisor: Prof. Mark Pauly<br>\r\nCo-examiner: Prof. Pascal Fua<br>\r\n<br>\r\n<u>Abstract</u><br>\r\nPhysically intelligent systems exploit geometry, physics, material distribution, and structural coupling to generate useful behaviors. This thesis develops computational design and optimization methods for lightweight mechanical systems with complex geometries and rich deformation behavior. The central goal is to create a simulation-driven inverse design framework in which shape, material, and structural parameters are optimized together so that the resulting physical system achieves desired equilibrium configurations, alignment targets, and crucially functional mechanical responses. By combining differentiable mechanics, compact design parameterizations, robust equilibrium solving, instructive shape space and functional space analysis, and optimization, the work investigates how complex physical behavior can be encoded directly into the design process.<br>\r\n<br>\r\n<u>Selected papers</u><br>\r\n- <a aria-describedby=\"sk-tooltip-21545\" href=\"https://dl.acm.org/doi/pdf/10.1145/3072959.3073695\" target=\"_blank\">Computational Design and Automated Fabrication of Kirchhoff-Plateau Surfaces</a>: <a href=\"https://dl.acm.org/doi/pdf/10.1145/3072959.3073695\">https://dl.acm.org/doi/pdf/10.1145/3072959.3073695</a><br>\r\n- <a href=\"https://cdl.ethz.ch/publications/the-design-space-of-plane-elastic-curves/\" target=\"_blank\">The Design Space of Plane Elastic Curves</a>: <a href=\"https://cdl.ethz.ch/publications/the-design-space-of-plane-elastic-curves/\">https://cdl.ethz.ch/publications/the-design-space-of-plane-elastic-curves/</a><br>\r\n- <a href=\"https://cdl.ethz.ch/publications/procedural-metamaterials-a-unified-procedural-graph-for-metamaterial-design/\" target=\"_blank\">Procedural Metamaterials: A Unified Procedural Graph for Metamaterial Design</a>: <a href=\"https://cdl.ethz.ch/publications/procedural-metamaterials-a-unified-procedural-graph-for-metamaterial-design/\">https://cdl.ethz.ch/publications/procedural-metamaterials-a-unified-procedural-graph-for-metamaterial-design/</a>",
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