BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Penn Engineering Events - ECPv6.15.18//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://seasevents.nmsdev7.com
X-WR-CALDESC:Events for Penn Engineering Events
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20220313T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20221106T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20230312T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20231105T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20240310T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20241103T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231031T100000
DTEND;TZID=America/New_York:20231031T113000
DTSTAMP:20260404T033828
CREATED:20230926T123215Z
LAST-MODIFIED:20230926T123215Z
UID:10007702-1698746400-1698751800@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Hardware / Controls Co-design to Overcome Challenges for Aerial Robots"
DESCRIPTION:Aerial robotics have become ubiquitous\, but (like most robots) they still struggle to operate at high speed in unstructured\, cramped environments. By considering a vehicle’s mechanical design simultaneously with the design of controls and automation algorithms\, we have more degrees of freedoms to find creative solutions to problems. In this talk I will present some of my group’s work on enhancing aerial robots\, including purely algorithmic approaches (“how can I do more with the hardware I already have?”) and with hardware co-design (“how can I change the vehicle so that the hard problem is actually easy?”). Two challenges for aerial robots will motivate us: first: flight through narrow\, unstructured environments\, and second: long duration and range flight within the constraints of battery-electric power. \nFor flight through narrow environments\, I will present an algorithmic approach for high speed path planning that incorporates perception uncertainty\, and can be used on a standard drone. We will then present two alternative approaches that modify the system design: one a vehicle that can change its shape to fit through narrower spaces\, and a second that is highly collision resilient\, and for whom collisions are therefore neither mission- nor safety-critical. \nFor overcoming energetic challenges\, we will present a strategy for real-time optimization of flight characteristics for a vehicle\, specifically using extremum seeking control to modify the system airspeed and yaw angle; an algorithm that can be applied to any aerial robot. We then again show two design modifications to work around the problem — first\, a morphing system that can reduce its drag area at speed\, and secondly a system capable of mid-air battery replacement for indefinite flight.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-hardware-controls-co-design-to-overcome-challenges-for-aerial-robots/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231031T153000
DTEND;TZID=America/New_York:20231031T163000
DTSTAMP:20260404T033828
CREATED:20231018T181944Z
LAST-MODIFIED:20231018T181944Z
UID:10007735-1698766200-1698769800@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Modeling Atoms to Address Our Climate Crisis"
DESCRIPTION:Climate change is a societal and political problem whose impact could be mitigated by technology. Underlying many of its technical challenges is a surprisingly simple yet challenging problem; modeling the interaction of atoms. In this talk\, we motivate the problem and provide insights into how this opens up new intriguing directions for machine learning and AI researchers. Recent large-scale datasets released by the Open Catalyst Project enable the training of ML models that generalize across a broad range of the chemical space. Analogies are drawn to computer vision to map recent state-of-the-art approaches for atomic modeling to a more familiar domain. We conclude by exploring the numerous open problems and their potential for wide ranging impact beyond climate change.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-modeling-atoms-to-address-our-climate-crisis/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Colloquium
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231101T120000
DTEND;TZID=America/New_York:20231101T131500
DTSTAMP:20260404T033828
CREATED:20230928T141350Z
LAST-MODIFIED:20230928T141350Z
UID:10007707-1698840000-1698844500@seasevents.nmsdev7.com
SUMMARY:ASSET Seminar: "Copyright\, Machine Learning Research\, and the Generative-AI Supply Chain" (A. Feder Cooper\, Cornell University)
DESCRIPTION:ABSTRACT: \n“Does generative AI infringe copyright?” is an urgent question. It is also a difficult question\, for two reasons. First\, “generative AI” is not just one product from one company. It is a catch-all name for a massive ecosystem of loosely related technologies. These systems behave differently and raise different legal issues. Second\, copyright law is notoriously complicated\, and generative-AI systems manage to touch on a great many corners of it. They raise issues of authorship\, similarity\, direct and indirect liability\, and fair use\, among much else. These issues cannot be analyzed in isolation\, because there are connections everywhere. \nIn this talk\, I will discuss recent work that aims to bring order to the chaos. In a forthcoming law review article\, Talkin’ ‘Bout AI Generation\, my co-authors and I introduce the generative-AI supply chain: an interconnected set of stages that transform training data into generations. The supply chain reveals all of the places at which companies and users make choices that have copyright consequences. It enables us to trace the effects of upstream technical designs on downstream uses\, and to assess who in these complicated sociotechnical systems bears responsibility for infringement when it happens. For examples of these complexities\, I will also draw on joint work with MosaicML/Databricks that attempts to train a text-to-image generative model with openly licensed\, Creative-Commons images. I will close with the key decisions that courts will need to make as they grapple with copyright issues\, and point out the consequences that would likely flow from different liability regimes. \nThis talk reflects joint work with Katherine Lee\, James Grimmelmann\, and colleagues from MosaicML/Databricks.
URL:https://seasevents.nmsdev7.com/event/asset-seminar-a-feder-cooper-cornell-university/
LOCATION:Levine 307\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231101T150000
DTEND;TZID=America/New_York:20231101T160000
DTSTAMP:20260404T033828
CREATED:20231023T145810Z
LAST-MODIFIED:20231023T145810Z
UID:10007743-1698850800-1698854400@seasevents.nmsdev7.com
SUMMARY:Fall 2023 GRASP SFI: E. Farrell Helbling\, Cornell University\, “Autonomy for insect-scale robots”
DESCRIPTION:This is a hybrid event with in-person attendance in Levine 307 and virtual attendance on Zoom. \nABSTRACT\nCountless science fiction works have set our expectations for small\, mobile\, autonomous robots for use in a broad range of applications. The ability to move through highly dynamic and complex environments can expand capabilities in search and rescue operations and safety inspection tasks. These robots can also form a diverse collective to provide more flexibility than a multifunctional robot. Advances in multi-scale manufacturing and the proliferation of small electronic devices have paved the way to realizing this vision with centimeter-scale robots. However\, there remain significant challenges in making these highly-articulated mechanical devices fully autonomous due to the severe mass and power constraints. My research takes a holistic approach to navigating the inherent tradeoffs in each component in terms of their size\, mass\, power\, and computation requirements. In this talk I will present strategies for creating an autonomous vehicle\, the RoboBee – an insect scale flapping-wing robot with unprecedented mass\, power\, and computation constraints. I will present my work on the analysis of control and power requirements for this vehicle\, as well as results on the integration of onboard sensors. I also will discuss recent results that culminate nearly two decades of effort to create a power autonomous insect-scale vehicle. Lastly\, I will outline how this design strategy can be readily applied to other micro and bioinspired autonomous robots.
URL:https://seasevents.nmsdev7.com/event/fall-2023-grasp-sfi-e-farrell-helbling/
LOCATION:Levine 307\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="General Robotics%2C Automation%2C Sensing and Perception (GRASP) Lab":MAILTO:grasplab@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231101T153000
DTEND;TZID=America/New_York:20231101T163000
DTSTAMP:20260404T033828
CREATED:20230816T184236Z
LAST-MODIFIED:20230816T184236Z
UID:10007638-1698852600-1698856200@seasevents.nmsdev7.com
SUMMARY:CBE Seminar: "Structure-Independent Peptide Binder Design via Generative Language Models" (Chatterjee\, Duke University)
DESCRIPTION:The ability to modulate pathogenic proteins represents a powerful treatment strategy for diseases. Unfortunately\, many proteins are considered “undruggable” by small molecules\, and are often intrinsically disordered\, precluding the usage of structure-based tools for binder design. To address these challenges\, we have developed a suite of algorithms that enable the design of target-specific peptides via protein language model embeddings\, without the requirement of 3D structures. First\, we train a model\, SaLT&PepPR\, that leverages ESM-2 embeddings to efficiently select high-affinity peptides from natural protein interaction interfaces. Next\, we develop a generator-discriminator model\, PepPrCLIP\, based on the CLIP architecture\, to generate and screen de novo peptides with selectivity to a specified target protein. As input to the discriminator\, we create a Gaussian diffusion generator to sample an ESM-2 based latent space\, fine-tuned on experimentally-valid peptide sequences. Finally\, to enable target-conditioned de novo generation of binding peptides\, we train a masked language model\, PepMLM to discontinuously unmask peptides given target sequences. Our final model demonstrates low perplexities across both existing and generated peptide sequences. We experimentally fuse model-derived peptides to E3 ubiquitin ligase domains and reliably identify candidates exhibiting functionally potent degradation of undruggable\, disordered targets in cancer models. Overall\, our work enables generation of programmable modulators to any target protein\, without the requirement of conformationally stable three-dimensional structures.
URL:https://seasevents.nmsdev7.com/event/cbe-seminar-structure-independent-peptide-binder-design-via-generative-language-models-chatterjee-duke-university/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Chemical and Biomolecular Engineering":MAILTO:cbemail@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231102T103000
DTEND;TZID=America/New_York:20231102T120000
DTSTAMP:20260404T033828
CREATED:20230815T184630Z
LAST-MODIFIED:20230815T184630Z
UID:10007635-1698921000-1698926400@seasevents.nmsdev7.com
SUMMARY:MSE Seminar: "Nonlinear and Topological Quantum Photonics" University of Central Florida
DESCRIPTION:In this talk we will discuss how to engineer the dispersion relation of photonic platforms to provide robust propagation of classical and quantum states of light. \nIn the first part of this talk\, we will unveil how to leverage the interaction of nonlinearity with higher orders of dispersion to create novel types of solitons\, wave packets that propagate unperturbed for long distances. These objects have advantageous energy-width scaling laws with respect to conventional nonlinear Schrodinger solitons and show promise for applications in ultrafast lasers and integrated frequency combs. \nSubsequently\, we will cover recent developments in topological quantum photonics. Topological photonics studies topological phases of light and leverages the appearance of robust topological edge states.  We will emphasize our experimental demonstration of nonlinearly generated and topologically protected photon pairs and path-entangled biphoton states in silicon waveguide arrays. Further\, we will detail our latest experiments demonstrating entanglement between topologically distinct modes\, highlighting topology as an entanglement degree of freedom.
URL:https://seasevents.nmsdev7.com/event/mse-seminar-nonlinear-and-topological-quantum-photonics-university-of-central-florida/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231103T103000
DTEND;TZID=America/New_York:20231103T114500
DTSTAMP:20260404T033828
CREATED:20231027T195503Z
LAST-MODIFIED:20231027T195503Z
UID:10007746-1699007400-1699011900@seasevents.nmsdev7.com
SUMMARY:Fall 2023 GRASP on Robotics: Julie Shah\, Massachusetts Institute of Technology\, "Effective Human-Machine Partnerships in High Stakes Settings"
DESCRIPTION:This is a HYRBID event with a VIRTUAL SPEAKER. The GRASP on Robotics Seminar will be streamed for in-person attendees in Wu and Chen and virtual attendees may join the talk via Zoom. \nABSTRACT\nEvery team has top performers — people who excel at working in a team to find the right solutions in complex\, difficult situations. These top performers include nurses who run hospital floors\, emergency response teams\, air traffic controllers\, and factory line supervisors. While they may outperform the most sophisticated optimization and scheduling algorithms\, they cannot often tell us how they do it. Similarly\, even when a machine can do the job better than most of us\, it can’t explain how. The result is often an either/or choice between human and machine. In this talk I share the Situational Awareness Framework for Explainable AI (SAFE-AI)\, and discuss the ways in which traditional XAI methods can promote or undermine human situation awareness. I also share our lab’s latest research in employing the framework to effectively blend the unique decision-making strengths of humans and LLM- and RL-enabled machines.
URL:https://seasevents.nmsdev7.com/event/fall-2023-grasp-on-robotics-julie-shah-massachusetts-institute-of-technology-effective-human-machine-partnerships-in-high-stakes-settings/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="General Robotics%2C Automation%2C Sensing and Perception (GRASP) Lab":MAILTO:grasplab@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231103T140000
DTEND;TZID=America/New_York:20231103T150000
DTSTAMP:20260404T033828
CREATED:20231026T163656Z
LAST-MODIFIED:20231026T163656Z
UID:10007745-1699020000-1699023600@seasevents.nmsdev7.com
SUMMARY:PICS Colloquium: "Micro-organism Locomotion in Viscoelastic Fluids"
DESCRIPTION:Many microorganisms and cells function in complex (non-Newtonian) fluids\, which are mixtures of different materials that exhibit both viscous and elastic stresses. For example\, mammalian sperm swim through cervical mucus on their journey through the female reproductive tract\, and they must penetrate the viscoelastic gel outside the ovum to fertilize. In micro-scale swimming the dynamics emerge from the coupled interactions between the complex rheology of the surrounding media and the passive and active body dynamics of the swimmer.  We use computational and analytical models of swimmers in viscoelastic fluids to investigate and provide mechanistic explanations for emergent swimming behaviors. I will discuss a few examples that highlight the role of fluid elasticity in micro-organism locomotion.
URL:https://seasevents.nmsdev7.com/event/pics-colloquium-micro-organism-locomotion-in-viscoelastic-fluids/
LOCATION:PICS Conference Room 534 – A Wing \, 5th Floor\, 3401 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Colloquium
ATTACH;FMTTYPE=image/jpeg:https://seasevents.nmsdev7.com/wp-content/uploads/2023/10/Becca-Thomases-500x500.jpg-1.jpg
ORGANIZER;CN="Penn Institute for Computational Science (PICS)":MAILTO:dkparks@seas.upenn.edu
END:VEVENT
END:VCALENDAR