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:20231101T120000
DTEND;TZID=America/New_York:20231101T131500
DTSTAMP:20260404T184629
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:20260404T184629
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:20260404T184629
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:20260404T184629
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:20260404T184629
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:20260404T184629
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
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231107T100000
DTEND;TZID=America/New_York:20231107T113000
DTSTAMP:20260404T184629
CREATED:20231010T191936Z
LAST-MODIFIED:20231010T191936Z
UID:10007723-1699351200-1699356600@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Advancing the Versatility of Legged Robots and Assistive Devices"
DESCRIPTION:Recent years have witnessed tremendous growth in the capabilities of legged robots\, with quadrupeds and humanoids demonstrating athletic behaviors that even five years ago were out of reach. Likewise\, actively powered lower-limb assistive devices have made great strides in their maturity\, with hardware such as the Open-Source Leg broadening access for future breakthroughs. \nDespite this progress\, the wide variability of real-world environments and users remains a pressing challenge to practical applications. It is fundamentally impossible to train our robots in the lab for anything they may encounter in an open world! As steps toward addressing this challenge\, the talk will first discuss recent work on the control of the MIT Mini Cheetah\, which considers new computational methods for the robot to reason through its actions on the fly in complex environments. The second part of the talk will then present ongoing research on improving user interfaces for lower-extremity prosthetic limbs to make human/robot interaction more fluid. Collectively\, this work expands the ability of these systems to tailor their motions to new environments and users\, paving the way for broader adoption in the “wild.”
URL:https://seasevents.nmsdev7.com/event/meam-seminar-advancing-the-versatility-of-legged-robots-and-assistive-devices/
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:20231107T100000
DTEND;TZID=America/New_York:20231107T120000
DTSTAMP:20260404T184629
CREATED:20231023T140841Z
LAST-MODIFIED:20231023T140841Z
UID:10007741-1699351200-1699358400@seasevents.nmsdev7.com
SUMMARY:BE Doctoral Dissertation Defense: "Physiologically Induced High Gaussian Curvature Drives Nuclear Lamina Rupture and Cytoskeletal Displacement—Contributing to Downstream Dysfunction" (Michael Tobin)
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Dr. Dennis Discher are pleased to announce the Doctoral Dissertation Defense of Michael Tobin.\n\nTitle: Physiologically Induced High Gaussian Curvature Drives Nuclear Lamina Rupture and Cytoskeletal Displacement—Contributing to Downstream Dysfunction\n \nDate: Tuesday\, November 7\, 2023\nTime: 10AM\nLocation: Glandt Forum at the Singh Center.\n\nThere is a zoom option for virtual listeners.\n\nTopic: Michael Tobin Thesis Defense\nTime: Nov 7\, 2023 10:00 AM Eastern Time (US and Canada) \n\nJoin Zoom Meeting\nhttps://upenn.zoom.us/j/93613731189?pwd=TUtCZnprZVBLM3pweXRkR3FnTm5IQT09 \nMeeting ID: 936 1373 1189\nPasscode: 262280 \n\nThe public is welcome to attend.
URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-defense-physiologically-induced-high-gaussian-curvature-drives-nuclear-lamina-rupture-and-cytoskeletal-displacement-contributing-to-downstream-dysfunction-michae/
LOCATION:Glandt Forum\, Singh Center for Nanotechnology\, 3205 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar,Doctoral,Graduate,Student,Dissertation or Thesis Defense
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231107T133000
DTEND;TZID=America/New_York:20231107T143000
DTSTAMP:20260404T184629
CREATED:20231103T125456Z
LAST-MODIFIED:20231103T125456Z
UID:10007751-1699363800-1699367400@seasevents.nmsdev7.com
SUMMARY:BE Doctoral Dissertation Defense: "Reversing Engineering the Anesthetic State: Insights from Behavior and CNS Circuit Cracking" (Andrzej Wasilczuk)
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Dr. Max Kelz are pleased to announce the Doctoral Dissertation Defense of Andrzej Wasilczuk \nReversing Engineering the Anesthetic State: Insights from Behavior and CNS Circuit Cracking \nNovember 7th\, 1:30-2:30pm \nJordan Medical Education Center\, Room 505EW\n3400 Civic Center Blvd \nPhiladelphia\, PA 19104 \nA hybrid option is available using this link: \nhttps://pennmedicine.zoom.us/j/94632129951?pwd=NkFDRnZuejBNbGlBalR2K2d3cGY3Zz09 \nMeeting ID: 946 3212 9951 \nPasscode: 447098
URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-defense-reversing-engineering-the-anesthetic-state-insights-from-behavior-and-cns-circuit-cracking-andrzej-wasilczuk/
LOCATION:Jordan Medical Education Center\, Room 505EW\, 3400 Civic Center Blvd
CATEGORIES:Doctoral,Graduate,Student,Dissertation or Thesis Defense
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231108T120000
DTEND;TZID=America/New_York:20231108T131500
DTSTAMP:20260404T184629
CREATED:20230928T141745Z
LAST-MODIFIED:20230928T141745Z
UID:10007708-1699444800-1699449300@seasevents.nmsdev7.com
SUMMARY:ASSET Seminar: "The Future of Algorithm Auditing is Sociotechnical" (Danaë Metaxa\, Penn)
DESCRIPTION:ABSTRACT:  \nAlgorithm audits are powerful tools for studying black-box systems without direct knowledge of those systems’ inner workings. While they have been effectively deployed to identify harms and biases in algorithmic content\, algorithm audits’ narrow focus on technical components stop short of considering users themselves as integral and dynamic parts of the system\, to be audited alongside its algorithmic components. \nAfter an overview of the state of the art in algorithm auditing\, this talk will introduce sociotechnical auditing: evaluating algorithmic systems at the sociotechnical level\, focusing on the interplay between algorithms and users as each impacts the other over time. I will also present Intervenr\, a platform we developed to conduct browser-based\, longitudinal sociotechnical audits\, and a case study in which we deployed Intervenr to investigate the central claim of online targeted advertising systems: that targeted ads perform better with users. Finally\, I will conclude by discussing some of my group’s current work\, expanding the auditing method to novices and youth\, and developing post-auditing tools for collective action.
URL:https://seasevents.nmsdev7.com/event/asset-seminar-danae-metaxa-penn/
LOCATION:Levine 307\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231108T150000
DTEND;TZID=America/New_York:20231108T160000
DTSTAMP:20260404T184629
CREATED:20230908T192022Z
LAST-MODIFIED:20230908T192022Z
UID:10007678-1699455600-1699459200@seasevents.nmsdev7.com
SUMMARY:Fall 2023 GRASP SFI: Margaret Coad\, University of Notre Dame\, "Soft and Continuum Robots for Unstructured Environments"
DESCRIPTION:This is a hybrid event with in-person attendance in Levine 307 and virtual attendance on Zoom. \nABSTRACT\nSoft and continuum robots have immense potential to assist humans with tasks that require navigation and manipulation in unstructured environments. In this talk\, I present my group’s research on the design\, modeling\, and control of a variety of soft and continuum robots. I begin by discussing soft vine-inspired robots\, which move through their environment by extending from their tip and are well suited for navigation and manipulation within confined spaces. In particular\, I discuss our research on vine robot field deployment\, shape sensing\, force sensing\, and collapse modeling. I then present our research on two other bioinspired robots: spider monkey tail-inspired robots for grasping objects\, and amoeba-inspired robots for navigation in confined spaces. Finally\, I discuss our research on soft wearable robots for replacing or assisting the motion of the upper limbs. This research helps make robots more capable of assisting humans in the unstructured environments of everyday life.
URL:https://seasevents.nmsdev7.com/event/fall-2023-grasp-sfi-margaret-coad/
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:20231109T110000
DTEND;TZID=America/New_York:20231109T120000
DTSTAMP:20260404T184629
CREATED:20230829T201346Z
LAST-MODIFIED:20230829T201346Z
UID:10007657-1699527600-1699531200@seasevents.nmsdev7.com
SUMMARY:ESE Fall Seminar - "Approximate symmetries in machine learning"
DESCRIPTION:In this talk\, we explain different roles that symmetries and approximate symmetries can play in machine learning models. We define approximately equivariant graph neural networks and we show a bias-variance tradeoff when selecting the symmetries to enforce. We explain how to see equivariant functions as gradients of invariant functions\, and we show how to use these ideas in self-supervised learning.
URL:https://seasevents.nmsdev7.com/event/ese-fall-seminar-title-tbd-7/
LOCATION:Glandt Forum\, Singh Center for Nanotechnology\, 3205 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Colloquium
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231109T143000
DTEND;TZID=America/New_York:20231109T163000
DTSTAMP:20260404T184629
CREATED:20231019T160806Z
LAST-MODIFIED:20231019T160806Z
UID:10007738-1699540200-1699547400@seasevents.nmsdev7.com
SUMMARY:BE Doctoral Dissertation Defense: "Mapping variable host gene expression states to viral infection" (Sam Reffsin)
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Dr. Arjun Raj are pleased to announce the Doctoral Dissertation Defense of Sam Reffsin.\n\nTitle: Mapping variable host gene expression states to viral infection\nDate: November 9\, 2023\nTime: 2:30pm-4:30pm\nLocation: Smilow 11-146AB\n\nThe public is welcome to attend.
URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-defense-mapping-variable-host-gene-expression-states-to-viral-infection-sam-reffsin/
LOCATION:Smilow Center for Translational Research in SCTR 11-146AB
CATEGORIES:Doctoral,Graduate,Student,Dissertation or Thesis Defense
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231109T153000
DTEND;TZID=America/New_York:20231109T163000
DTSTAMP:20260404T184629
CREATED:20231018T183158Z
LAST-MODIFIED:20231018T183158Z
UID:10007736-1699543800-1699547400@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Intrinsic images\, lighting and relighting without any labelling"
DESCRIPTION:Intrinsic images are maps of surface properties. A classical problem is to recover an intrinsic image\, typically a map of surface lightness\,\nfrom an image.   The topic has mostly dropped from view\, likely for three reasons: training data is mostly synthetic; evaluation is somewhat\nuncertain; and clear applications for the resulting albedo are missing.  The decline of this topic has a consequence – mostly\, we don’t understand and can’t mitigate the effects of lighting.\n\nI will show the results of simple experiments that suggest that very good modern depth and normal predictors are strongly sensitive to lighting — if\nyou relight a scene in a reasonable way\, the reported depth will change. This is intolerable. To fix this problem\, we need to be able to produce\nmany different lightings of the same scene.   I will describe a method to do so.  First\, one learns a method to estimate albedo from images without any labelled training data (which turns out to perform well under traditional evaluations).  Then\, one forces an image generator to produce many different images that have the same albedo — with care\, these are relightings of the same scene.  Finally\, a GAN inverter allows us to apply the process to real images.  I will show some interim results suggesting that learned relightings might genuinely improve estimates of depth\, normal and albedo.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-intrinsic-images-lighting-and-relighting-without-any-labelling/
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:20231109T153000
DTEND;TZID=America/New_York:20231109T163000
DTSTAMP:20260404T184629
CREATED:20231106T142758Z
LAST-MODIFIED:20231106T142758Z
UID:10007756-1699543800-1699547400@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Intrinsic images\, lighting and relighting without any labeling"
DESCRIPTION:I will show the results of simple experiments that suggest that very good modern depth and normal predictors are strongly sensitive to lighting – if you relight a scene in a reasonable way\, the reported depth will change. This is intolerable. To fix this problem\, we need to be able to produce many different lightings of the same scene.   I will describe a method to do so.  First\, one learns a method to estimate albedo from images without any labelled training data (which turns out to perform well under traditional evaluations).  Then\, one forces an image generator to produce many different images that have the same albedo — with care\, these are relightings of the same scene.  Finally\, a GAN inverter allows us to apply the process to real images.  I will show some interim results suggesting that learned relightings might genuinely improve estimates of depth\, normal and albedo.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-intrinsic-images-lighting-and-relighting-without-any-labeling/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231110T100000
DTEND;TZID=America/New_York:20231110T110000
DTSTAMP:20260404T184629
CREATED:20231105T175238Z
LAST-MODIFIED:20231105T175238Z
UID:10007754-1699610400-1699614000@seasevents.nmsdev7.com
SUMMARY:PRECISE Seminar: Evaluation and calibration of AI models with uncertain ground truth
DESCRIPTION:For safety\, AI systems in health undergo thorough evaluations before deployment\, validating their predictions against a ground truth that is assumed certain. However\, this is actually not the case and the ground truth may be uncertain. Unfortunately\, this is largely ignored in standard evaluation of AI models but can have severe consequences such as overestimating the future performance. To avoid this\, we measure the effects of ground truth uncertainty\, which we assume decomposes into two main components: annotation uncertainty which stems from the lack of reliable annotations\, and inherent uncertainty due to limited observational information. This ground truth uncertainty is ignored when estimating the ground truth by deterministically aggregating annotations\, e.g.\, by majority voting or averaging. In contrast\, we propose a framework where aggregation is done using a statistical model. Specifically\, we frame aggregation of annotations as posterior inference of so-called plausibilities\, representing distributions over classes in a classification setting\, subject to a hyper-parameter encoding annotator reliability. Based on this model\, we propose a metric for measuring annotation uncertainty and provide uncertainty-adjusted metrics for performance evaluation. We present a case study applying our framework to skin condition classification from images where annotations are provided in the form of differential diagnoses. The deterministic adjudication process called inverse rank normalization (IRN) from previous work ignores ground truth uncertainty in evaluation. Instead\, we present two alternative statistical models: a probabilistic version of IRN and a Plackett-Luce-based model. We find that a large portion of the dataset exhibits significant ground truth uncertainty and standard IRN-based evaluation severely over-estimates performance without providing uncertainty estimates. \nLinks: https://arxiv.org/abs/2307.09302 https://arxiv.org/abs/2307.02191 \n 
URL:https://seasevents.nmsdev7.com/event/precise-seminar-evaluation-and-calibration-of-ai-models-with-uncertain-ground-truth/
LOCATION:https://upenn.zoom.us/j/96715197752
ORGANIZER;CN="PRECISE":MAILTO:wng@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231110T103000
DTEND;TZID=America/New_York:20231110T114500
DTSTAMP:20260404T184629
CREATED:20231102T151151Z
LAST-MODIFIED:20231102T151151Z
UID:10007750-1699612200-1699616700@seasevents.nmsdev7.com
SUMMARY:Fall 2023 GRASP on Robotics: Sunil Agrawal\, Columbia University\, "Rehabilitation Robotics: Improving Everyday Human Functions"
DESCRIPTION:This is a hybrid event with in-person attendance in Wu and Chen and virtual attendance on Zoom. \nABSTRACT\nNeural disorders\, old age\, and traumatic injuries limit the ability of humans to perform activities of daily living. Robotics can be used to characterize and retrain human neuromuscular responses. Columbia University Robotics and Rehabilitation (ROAR) Laboratory designs innovative robots and performs scientific studies to improve everyday human functions such as standing\, walking\, stairclimbing\, reaching\, head turning\, and others. Human experiments have targeted individuals with stroke\, cerebral palsy\, Parkinson’s disease\, ALS\, and elderly subjects. The talk will provide an overview of some of these robotic technologies and scientific studies performed with them to show the potential of rehabilitation robotics to improve quality of life of people around the world.
URL:https://seasevents.nmsdev7.com/event/fall-2023-grasp-on-robotics-sunil-agrawal-columbia-university-rehabilitation-robotics-improving-everyday-human-functions/
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:20231110T140000
DTEND;TZID=America/New_York:20231110T150000
DTSTAMP:20260404T184629
CREATED:20231103T204842Z
LAST-MODIFIED:20231103T204842Z
UID:10007753-1699624800-1699628400@seasevents.nmsdev7.com
SUMMARY:PICS Colloquium: "MFEM: Accelerating Efficient Solution of PDEs at Exascale"
DESCRIPTION:Upcoming exascale architectures require rethinking of the numerical algorithms used in large-scale PDE-based applications. These architectures favor algorithms\, such as high-order finite elements\, that expose fine-grain parallelism and maximize the ratio of floating point operations to energy intensive data movement. \nIn this talk we present an overview of MFEM [1]\, a scalable library for high-order finite element discretization of PDEs on general unstructured grids. We also report on recent work in the Center for Efficient Exascale Discretizations [2]\, a co-design center in the US Exascale Computing Project focused on next-generation discretization software and algorithms. \nOur approach to efficient operator evaluation is based on a “matrix-free” representation of the finite element operator\, that factors a bilinear form into a series of sparse and dense components corresponding to the parallelism\, mesh topology\, basis\, geometry\, and pointwise physics in the problem. The operator decomposition exposes several layers of parallelism\, enables the use of batched dgemss and tensor contractions\, and only requires quadrature point values to be assembled for computing the action. This “partial assembly” formulation is a natural fit for modern HPC hardware\, because it results both in less (nearly optimal) computation and less (optimal) data movement compared to assembling a global sparse matrix\, therefore increasing performance and reducing time to solution. \nIn addition to discussing efficient operator evaluation\, we will provide an overview of the MFEM capabilities and applications to compressible hydrodynamics and electromagnetics. We will also review our work on performance optimizations for GPU architectures\, high-order benchmarks and miniapps\, scalable unstructured adaptive mesh refinement\, high-order mesh optimization and matrix-free preconditioning. \n[1] MFEM: Modular finite element library\, http://mfem.org. \n[2] Center for Efficient Exascale Discretizations\, http://ceed.exascaleproject.org.
URL:https://seasevents.nmsdev7.com/event/pics-colloquium/
LOCATION:https://upenn.zoom.us/j/96715197752
CATEGORIES:Colloquium
ATTACH;FMTTYPE=image/jpeg:https://seasevents.nmsdev7.com/wp-content/uploads/2023/11/EMCaward_kolevTzanio_2019-2-new-1-1-scaled-1.jpg
ORGANIZER;CN="Penn Institute for Computational Science (PICS)":MAILTO:dkparks@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231113T130000
DTEND;TZID=America/New_York:20231113T140000
DTSTAMP:20260404T184629
CREATED:20231016T001354Z
LAST-MODIFIED:20231016T001354Z
UID:10007730-1699880400-1699884000@seasevents.nmsdev7.com
SUMMARY:PRECISE Seminar: Wearable Acoustic and Vibration Sensing and Machine Learning for Human Health and Performance
DESCRIPTION:Abstract\n\nRecent advances in digital health technologies are enabling biomedical researchers to reframe health optimization and disease treatment in a patient-specific\, personalized manner. This talk will focus on my group’s research in two areas of relevance to digital health: (1) cardiogenic vibration sensing and analytics; and (2) musculoskeletal sensing with joint acoustic emissions and bioimpedance. Our group has extensively studied the timings and characteristics of cardiogenic vibration signals such as the ballistocardiogram and seismocardiogram\, and applied these signals for quantifying filling pressures and volume status in the context of heart failure (volume overload) and hemorrhage (volume depletion). We have also leveraged miniature contact microphones to measure the sounds emitted by joints\, such as the knees\, during movement\, and have examined how these acoustic characteristics are altered by musculoskeletal injuries and disorders (e.g.\, arthritis). We envision that these technologies can all contribute to improving patient care with lower cost and better outcomes.
URL:https://seasevents.nmsdev7.com/event/precise-seminar-wearable-acoustic-and-vibration-sensing-and-machine-learning-for-human-health-and-performance/
LOCATION:Levine 307\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="PRECISE":MAILTO:wng@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231114T100000
DTEND;TZID=America/New_York:20231114T113000
DTSTAMP:20260404T184629
CREATED:20231101T185501Z
LAST-MODIFIED:20231101T185501Z
UID:10007749-1699956000-1699961400@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Magnetic Fluid Hyperthermia with Magnetic Iron Oxide Nanoparticles: A Case Study in Multi-disciplinary Translational Biomedical Research"
DESCRIPTION:Magnetic nanoparticles that are responsive to clinically safe magnetic fields offer multi-modal nanomedicine capabilities. To succeed\, complexities of physics and engineering must be addressed to match physical and magnetic properties of magnetic nanoparticles with devices used to activate them. This requires thoughtful design and fabrication of both nanoparticles and devices\, with appropriate testing in relevant biological models that faithfully represent intended end use. Hyperthermia is a heat-based cancer therapy that improves treatment outcomes and patient survival when controlled energy delivery is combined with accurate thermometry. To date\, few technologies have achieved the needed evolution for the demands of the clinic. Magnetic fluid hyperthermia (MFH) offers this potential\, but to be successful it requires particle-imaging technology that provides real-time thermometry. Presently\, the only technology having the potential to meet these requirements is magnetic particle imaging (MPI)\, for which a proof-of-principle demonstration with MFH has been achieved. Successful clinical translation and adoption of integrated MPI/MFH technology demands successful integration of imaging data processing with robust computational heat-transfer modeling and adaptive temperature control algorithms into a theranostic device platform.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-magnetic-fluid-hyperthermia-with-magnetic-iron-oxide-nanoparticles-a-case-study-in-multi-disciplinary-translational-biomedical-research/
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:20231114T153000
DTEND;TZID=America/New_York:20231114T163000
DTSTAMP:20260404T184629
CREATED:20231109T164556Z
LAST-MODIFIED:20231109T164556Z
UID:10007757-1699975800-1699979400@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Edge-Weighted Online Bipartite Matching"
DESCRIPTION:Online bipartite matching is one of the most fundamental problems in the online algorithms literature. Karp\, Vazirani\, and Vazirani (STOC 1990) gave an elegant algorithm for unweighted bipartite matching that achieves an optimal competitive ratio 1-1/e. Aggarwal et al. (SODA 2011) later generalized their algorithm and analysis to the vertex-weighted case. Little is known\, however\, about the most general edge-weighted problem aside from the trivial 1/2-competitive greedy algorithm. In this talk\, we present the first online algorithm that breaks the long-standing 1/2 barrier and achieves a competitive ratio of at least 0.5086. \nThe main ingredient in our online matching algorithm is a novel subroutine called online correlated selection (OCS)\, which takes a sequence of pairs of vertices as input and selects one vertex from each pair. Instead of using a fresh random bit to choose a vertex from each pair\, the OCS negatively correlates decisions across different pairs and provides a quantitative measure of the level of correlation. The OCS technique is of independent interest and has already found further applications in other online optimization problems.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-edge-weighted-online-bipartite-matching/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231115T100000
DTEND;TZID=America/New_York:20231115T110000
DTSTAMP:20260404T184629
CREATED:20231113T161656Z
LAST-MODIFIED:20231113T161656Z
UID:10007760-1700042400-1700046000@seasevents.nmsdev7.com
SUMMARY:Fall 2023 GRASP Seminar: Vladimir Kucera\, Czech Technical University\, “Czech Technical University in Prague”
DESCRIPTION:*This seminar will be held in-person ONLY in Levine 307. The seminar will NOT be recorded. \nABSTRACT\nThe talk aims to present the Czech Technical University in Prague as a polytechnic school with a rich history and a lively present. The main milestones of its development\, current faculties and institutes\, human and financial resources\, study programs\, and research focus will be presented. The next part will be more personal: my role in the development of the university and a detailed presentation of its newest part\, the Czech Institute of Informatics\, Robotics\, and Cybernetics.
URL:https://seasevents.nmsdev7.com/event/fall-2023-grasp-seminar-vladimir-kucera-czech-technical-university-czech-technical-university-in-prague/
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:20231115T120000
DTEND;TZID=America/New_York:20231115T131500
DTSTAMP:20260404T184629
CREATED:20230928T141840Z
LAST-MODIFIED:20230928T141840Z
UID:10007709-1700049600-1700054100@seasevents.nmsdev7.com
SUMMARY:ASSET Seminar: "What Constitutes a Good Explanation?" (Lyle Ungar\, Penn)
DESCRIPTION:ABSTRACT:  \nShapley values and similar methods are widely used to explain the importance of features in model predictions. Clarity in the semantics of these feature importances is subtle\, but crucial: What do these explanations actually mean? And how are they useful? We illustrate using explanations of predictions in three domains: (a) medical outcomes\, (b) image content\, and (c) first impressions of people—specifically their warmth and competence—derived from video recordings and transcripts. In each scenario\, the presence of intermediate-level features enhances the clarity and usefulness of\nexplanations.
URL:https://seasevents.nmsdev7.com/event/asset-seminar-lyle-ungar-penn/
LOCATION:Levine 307\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231115T150000
DTEND;TZID=America/New_York:20231115T160000
DTSTAMP:20260404T184629
CREATED:20231018T153316Z
LAST-MODIFIED:20231018T153316Z
UID:10007733-1700060400-1700064000@seasevents.nmsdev7.com
SUMMARY:Fall 2023 GRASP SFI: Samuel Sokota\, Carnegie Mellon University\, “Reinforcement Learning in Two-Player Zero-Sum Games”
DESCRIPTION:This is a hybrid event with in-person attendance in Levine 307 and virtual attendance on Zoom. \nABSTRACT\nI’ll discuss reinforcement learning in two-player zero-sum games. Historically\, this area has lacked algorithms that perform well in large settings with imperfect information. I’ll describe a resolution for making self-play RL performant.
URL:https://seasevents.nmsdev7.com/event/fall-2023-grasp-sfi-samuel-sokota/
LOCATION:Levine 307\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231115T153000
DTEND;TZID=America/New_York:20231115T163000
DTSTAMP:20260404T184629
CREATED:20230825T200921Z
LAST-MODIFIED:20230825T200921Z
UID:10007647-1700062200-1700065800@seasevents.nmsdev7.com
SUMMARY:CBE Seminar: Britton Chance Distinguished Lecture\, "A Language Whose Characters are Triangles" (Phillips\, California Institute of Technology)
DESCRIPTION:One of the most intriguing outcomes of casting our thinking about the world around us in mathematical terms is that phenomena that were thought to be quite distinct are instead revealed as being the “same.” Thinkers as long ago as Pliny the Elder made observations on active matter noting: “It is a peculiarity of the starling to fly in troops\, as it were\, and then to wheel round in a globular mass like a ball\, the central troop acting as a pivot for the rest.’’ In this talk I will introduce field theory and the emergence of the modern theory of active matter as formulated by Toner and Tu to describe the collective motions of animals such as the giant herds of wildebeest on the plains of the Serengeti. We will then use active matter theory at a billion fold smaller scale to describe the motion of “flocks’’ of actin that power the movement of the single-celled parasites that cause malaria and toxoplasmosis. Our theoretical analysis will be used as a tool to interpret single-cell/single-molecule experiments on the dynamics of these fascinating parasitic organisms. All of these topics will serve as an invitation to a broader discussion of how the study of the living world is enriched by adopting the mindset that led Galileo to his assertion that the language of the natural world is mathematical.
URL:https://seasevents.nmsdev7.com/event/cbe-seminar-britton-chance-distinguished-lecture-a-language-whose-characters-are-triangles-phillips-california-institute-of-technology/
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:20231115T160000
DTEND;TZID=America/New_York:20231115T170000
DTSTAMP:20260404T184629
CREATED:20231101T180451Z
LAST-MODIFIED:20231101T180451Z
UID:10007747-1700064000-1700067600@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Rheological Evaluation of Complex Fluids for Fluid Mechanics Studies"
DESCRIPTION:Recent development of computational fluid mechanics allows to simulate wide range of fluid mechanics problems\, but it requires appropriate constitutive equations and rheological properties to represent behavior of complex fluid flows. Standard torque-type rheometer\, which is conventional rheometer with assuming ideal constant shear profiles in a thin test fluid layer\, however\, essential problems on the methodology for the complex fluids. We recently established velocity-profiling-assisted rheometry\, which resolves the problem to determine local shear rate by velocity profiling\, and the rheometry also has advantages of instantaneous evaluations of the properties. In my talk\, I will explain idea of the rheometry\, and practical algorithms to realize the evaluation\, and introduce some applications of the rheological evaluations\, for example\, polymer solutions\, particle suspensions\, and fluid foods.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-rheological-evaluation-of-complex-fluids-for-fluid-mechanics-studies/
LOCATION:Towne 315\, 220 S. 33rd 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:20231116T103000
DTEND;TZID=America/New_York:20231116T120000
DTSTAMP:20260404T184629
CREATED:20230908T144023Z
LAST-MODIFIED:20230908T144023Z
UID:10007676-1700130600-1700136000@seasevents.nmsdev7.com
SUMMARY:MSE Seminar: "Turbo-charging Silicon: Do we have the materials and devices?" (Deep Jariwala) University of Pennsylvania
DESCRIPTION:Silicon has been the dominant material for electronic computing for decades and very likely will stay dominant for the foreseeable future. However\, it is well-known that Moore’s law that propelled Silicon into this dominant position is long dead.  Therefore\, a fervent search for (i) new semiconductors that could directly replace silicon or (ii) new architectures with novel materials/devices added onto silicon or (iii) new physics/state-variables or a combination of above has been the subject of much of the electronic materials and devices research of the past 2 decades. The above problem is further complicated by the changing paradigm of computing from arithmetic centric to data centric in the age of billions of internet-connected devices and artificial intelligence. Therefore\, there is a pressing need for complementing and supplementing Silicon to operate with greater efficiency\, speed and handle greater amounts of data. This is further necessary since a completely novel and paradigm changing computing platform (e.g. all optical computing or quantum computing) remains out of reach for now.\nThe above is however not possible without fundamental innovation in new electronic materials and devices. Therefore\, in this talk\, I will try to make the case of how novel layered two-dimensional (2D) chalcogenide materials and three-dimensional (3D) nitride materials might present interesting avenues to overcome some of the limitations being faced by Silicon hardware. I will start by presenting our ongoing and recent work on integration of 2D chalcogenide semiconductors with silicon 1\, 2 to realize low-power tunnelling field effect transistors. In particular I will focus on In-Se based 2D semiconductors 1 for this application and extend discussion on them to phase-pure\, epitaxial thin-film growth over wafer scales\, 3 at temperatures low-enough to be compatible with back end of line (BEOL) processing in Silicon fabs.\nI will then switch gears to discuss memory devices from 2D materials when integrated with emerging wurtzite structure ferroelectric nitride materials 4 namely aluminium scandium nitride (AlScN). First\, I will present on Ferroelectric Field Effect Transistors (FE-FETs) made from 2D materials when integrated with AlScN and make the case for 2D semiconductors in this application. 5\, 6 Next I will introduce our work on Ferroelectric Diode (FeD) devices also based on thin AlScN. 7 In addition\, I will also present how FeDs provide a unique advantage in compute-in-memory (CIM) architectures for efficient storage\, search as well as hardware implementation of neural networks. Finally\, I will present ongoing work and opportunities to extend the application of AlScN memory devices into extreme environments.\nI will end the talk with a broad perspective on the role of novel materials that could turbo- charge silicon and other pervasive semiconductor technologies for electronic computing. \nReferences:\n1. Miao\, J.; et al. Jariwala\, D.\, Nature Electronics 2022\, 5 (11)\, 744-751.\n2. Miao\, J.; et al. Jariwala\, D.\, Nano Letters 2020\, 20 (4)\, 2907-2915.\n3. Song\, S.; et al. Stach\, E. A.; Olsson\, R. H.; Jariwala\, D.\, Matter 2023\n(online).\n4. Kim\, K.-H.; Karpov\, I.; Olsson\, R. H.; Jariwala\, D.\, Nature Nanotechnology\n2023\, 18 (5)\, 422-441.\n5. Liu\, X.; et al. Stach\, E. A.; Olsson\, R. H.; Jariwala\, D.\, Nano Letters 2021\, 21\n(9)\, 3753-3761.\n6. Kim\, K.-H.; Stach\, E. A.; Olsson\, R. H.; Jariwala\, D.\, Nature Nanotechnology\n2023.\n7. Liu\, X.; et al. Stach\, E. A.; Olsson III\, R.; Jariwala\, D.\, Applied Physics Letters\n2021\, 118 (20)\, 202901. \n8. Liu\, X.; et al. Stach\, E. A.; Olsson\, R. H.; Jariwala\, D.\, Nano Letters 2022\, 22\n(18)\, 7690–7698.
URL:https://seasevents.nmsdev7.com/event/mse-seminar-turbo-charging-silicon-do-we-have-the-materials-and-devices-deep-jariwala-university-of-pennsylvania/
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:20231116T130000
DTEND;TZID=America/New_York:20231116T140000
DTSTAMP:20260404T184629
CREATED:20231103T132032Z
LAST-MODIFIED:20231103T132032Z
UID:10007752-1700139600-1700143200@seasevents.nmsdev7.com
SUMMARY:MEAM Ph.D. Thesis Defense: "No Watts Wasted: Spines and Tails for Agile Legged Locomotion"
DESCRIPTION:Despite considerable advancements in recent years\, legged robots still fall short in terms of agility when compared to their animal counterparts. This thesis takes a two pronged approach to creating more agile behaviors by pursuing the intuition that agile legged machines should use much of their available power during agile behaviors. \nThe first approach leverages hybrid averaging analysis of SLIP like robots to devise a hip-energized control strategy. This controller takes a previously underutilized actuator and applies it to energize the robot. The resulting analysis provides new insight into the role of the hip actuator and symmetry in SLIP-like machines. The second approach seeks to design high power robots with few actuators\, which minimizes the framing cost while also making it easier to design behaviors which utilize the available power. \nThis thesis contributes support for the hypothesis that moving actuators from the legs to a tail or spine provides more opportunities to deploy them for spatial mobility. That support is manifest in the design and control of Jerboa 3.0\, a tailed biped featuring a high powered 2 degree of freedom tail whose lavish tail actuation budget comes at the expense of assigning only one motor to each of its springy legs. Jerboa 3.0 is capable of sustained spatial hopping\, starting and stopping on command\, and getting up again after falling. Lastly this thesis contains a speculative look as to what a simple model for the use of spines and tails for energization might look like. The resulting double-spring double-mass model enables both tail-energized hopping in a tailed robot and spine-energized bounding in a spined quadruped. More broadly the thesis serves as a case study in the creation of more agile legged machines that might one day rival animals.
URL:https://seasevents.nmsdev7.com/event/meam-ph-d-thesis-defense-no-watts-wasted-spines-and-tails-for-agile-legged-locomotion/
LOCATION:Levine 307\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Doctoral,Dissertation or Thesis Defense
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231116T153000
DTEND;TZID=America/New_York:20231116T163000
DTSTAMP:20260404T184629
CREATED:20231023T133806Z
LAST-MODIFIED:20231023T133806Z
UID:10007740-1700148600-1700152200@seasevents.nmsdev7.com
SUMMARY:BE Seminar: "Synthetic Genome Regulation for Cell and Tissue Engineering" (Timothy Downing\, UC Irvine)
DESCRIPTION:Molecular heterogeneity is emerging as a critical feature of multicellular life. While single-cell analyses have revealed the existence of cell-to-cell variation in the levels and activities of the molecules responsible for gene regulation\, the source of such variation is still poorly understood. The Downing Lab studies how genome replication contributes to epigenetic heterogeneity across stem cell populations. We recently developed a new sequencing method (Repli-Bisulfite Sequencing) that enables analysis of DNA methylation within newly replicated strands of DNA over time. Using this method\, we discovered that much of the methylation heterogeneity observed within human embryonic stem cells (hESCs) is temporal in nature and associated with DNA replication. Here\, we employ bioinformatic analyses to explore how properties of post-replication DNA methylation dynamics relate to well-established features of the genome and the broader chromatin landscape. Our findings reveal that unique patterns of methylome replication associate with distal regulatory regions throughout the genome\, enrich for cytosine residues dynamically methylated across cell types\, and coincide with the location of stem cell-specific transcription factor binding and chromatin architectures. We also find correlations between sub-cell cycle kinetics in DNA methylation and the divergence of bulk methylation patterns observed during multiple cell generations and natural aging. Taken together\, our studies suggest that (epi)genome replication may act as an important source of (temporal) regulatory variation in hESCs while\, simultaneously\, conferring susceptibility to epigenetic drift throughout the human lifespan. Our lab is also interested in understanding how the chemical and biophysical microenvironment influences adult cell behavior and phenotype through epigenetic gene regulatory mechanisms. We hope to use this information in the design of next-generation biomaterials. The second part of this presentation will describe how focal adhesions and cell-mediated forces contribute to fate transitions during the acquisition of stemness from somatic cell states.
URL:https://seasevents.nmsdev7.com/event/be-seminar-timothy-downing-uc-irvine/
LOCATION:216 Moore Building
CATEGORIES:Seminar
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231117T100000
DTEND;TZID=America/New_York:20231117T110000
DTSTAMP:20260404T184629
CREATED:20231012T002153Z
LAST-MODIFIED:20231012T002153Z
UID:10007727-1700215200-1700218800@seasevents.nmsdev7.com
SUMMARY:PRECISE Seminar: What can we learn about AI and data science from the vision field?
DESCRIPTION:Abstract\n\nRemarkable advances in imaging\, computation\, and technology are rapidly moving us into an era where biomedical knowledge discovery is increasingly limited only by creativity. This has resulted in unprecedented opportunities to improve the diagnosis and treatment of disease. The vision field has been at the forefront of these advances in AI for healthcare because of the easy accessibility of images and clinical data. \nThis talk will discuss challenges and opportunities involving artificial intelligence and data science in ophthalmology research and applications to clinical care. Specific examples will be given from the speaker’s perspective as an investigator in this field and as Director of the National Eye Institute (NEI)\, which directs and funds vision research in the United States. This will include discussion of challenges in the accuracy and process of ophthalmic diagnosis\, insights and gaps in knowledge regarding AI research in ophthalmology\, and ways in which these challenges and opportunities are generalizable to other medical fields. It will conclude with discussion of current NEI priorities including data sharing\, data harmonization\, data generation\, medical education in informatics and data science\, methodological innovation\, and population health.
URL:https://seasevents.nmsdev7.com/event/precise-seminar-what-can-we-learn-about-ai-and-data-science-from-the-vision-field/
LOCATION:Levine 307\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="PRECISE":MAILTO:wng@cis.upenn.edu
END:VEVENT
END:VCALENDAR