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DTSTART;TZID=America/New_York:20230227T130000
DTEND;TZID=America/New_York:20230227T140000
DTSTAMP:20260404T153416
CREATED:20230111T150729Z
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SUMMARY:PSOC Seminar: “Mechanical checkpoint of monocyte fate in viscoelastic extracellular matrix” (Kyle Vining\, Penn Dental Medicine)
DESCRIPTION:Spring 2023 Hybrid-Seminar Series\nMondays 1.00-2.00 pm (EST)\nTowne 225 / Raisler Lounge\n“For Zoom link\, please contact <manu@seas.upenn.edu>”
URL:https://seasevents.nmsdev7.com/event/psoc-seminar-mechanical-checkpoint-of-monocyte-fate-in-viscoelastic-extracellular-matrix-kyle-vining-penn-dental-medicine/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar,Faculty
ORGANIZER;CN="PSOC":MAILTO:manu@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230227T150000
DTEND;TZID=America/New_York:20230227T160000
DTSTAMP:20260404T153416
CREATED:20230110T193508Z
LAST-MODIFIED:20230110T193508Z
UID:10007418-1677510000-1677513600@seasevents.nmsdev7.com
SUMMARY:Joseph Bordogna Forum: Dr. Gary May\, Chancellor of UC-Davis
DESCRIPTION:Please save the date to join us for this annual distinguished lecture.  \nThe Joseph Bordogna Forum will foster conversation and debate regarding important issues at the nexus of technology and society. It will feature lectures and panel discussions on a wide range of contemporary issues that are central to engineering including diversity and inclusion\, the role of technology in our social fabric\, and questions of fairness\, justice and equity. \n“The Diversity Imperative” \nMonday\, February 27\, 2023\n3:00 – 4:00 p.m. \nWu and Chen Auditorium\, Levine Hall\n3330 Walnut Street \nDr. May’s talk was recorded and is available for viewing here.
URL:https://seasevents.nmsdev7.com/event/joseph-bordogna-forum-dr-gary-may-chancellor-of-uc-davis/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Distinguished Lecture
ORGANIZER;CN="Office of Diversity%2C Equity and Inclusion":MAILTO:odei@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230228T100000
DTEND;TZID=America/New_York:20230228T113000
DTSTAMP:20260404T153416
CREATED:20230210T143550Z
LAST-MODIFIED:20230210T143550Z
UID:10007471-1677578400-1677583800@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Solid Interfaces in Electrochemical Devices"
DESCRIPTION:While lithium (Li) ion battery technology has had major successes\, at the current rate of progress\, it is unlikely to meet the mid-century global demands related to full de-carbonization and interruption of fossil fuel usage for transportation and energy generation. The replacement of currently used anodes by Li metal is one of the most promising alternatives to solve this problem. However\, various obstacles hinder its commercialization\, many of which are related to phenomena happening at the interface between the anode and the electrolyte. In this talk\, some of the interface-related issues that plague Li-ion and Li-metal batteries are discussed. Using a well-established electrodeposition model for solid electrolytes\, we conceptualize and engineer a polymer composite separator capable of harnessing advantageous properties of its components at their interfaces. The synergistic interaction between two of the most common components of the solid electrolyte interphase is also probed\, and the interface between them is shown to significantly enhance the conduction of charge carriers. By combining first-principles methods with thermodynamic modeling\, we explore the importance of interfaces in the context of void and pit formation. A similar methodology is also employed to examine Li intercalation in twisted bilayer graphene systems. The methods and principles used in these studies rely on computational approaches that are broadly applicable — and indeed critical — for applications that require engineering at the nanoscale.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-solid-interfaces-in-electrochemical-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:20230228T103000
DTEND;TZID=America/New_York:20230228T113000
DTSTAMP:20260404T153416
CREATED:20230217T170734Z
LAST-MODIFIED:20230217T170734Z
UID:10007483-1677580200-1677583800@seasevents.nmsdev7.com
SUMMARY:MSE Seminar: "Chemical Bonds in Topological Materials" (Princeton University)
DESCRIPTION:Topological materials are solid-state compounds that have atypical charge carriers\, often acting analogously to particles in high-energy physics. They are significant for both fundamental and applied science\, with potential uses in spintronics\, catalysis\, and quantum information science. But despite the great promise of this field\, the majority of known topological materials conform to the same handful of structure types. By utilizing chemical principles\, we can design and discover new topological materials and investigate their unusual charge transport and magnetism. \nIn the first half of my talk\, I will focus on synthetic routes to new subchalcogenide topological semimetals. Subchalcogenides are a hybrid class of materials between intermetallics and chalcogenides\, containing both metal-metal and metal-chalcogenide interactions. Their diverse bonding character leads to quasi-lower-dimensional metallic substructures\, which have greater potential for electron-electron interactions. The subchalcogenides Ir2In8Q (Q = S\, Se\, Te) are a newly reported family of Dirac semimetals\, with large\, anistropic magnetoresistance\, high charge carrier mobility\, and reversible electronic instabilities. This family of compounds offer a new platform for probing the interactions of electronic instabilities and topology\, along with expanding the known library of topological structures. In the second half of my talk\, I will discuss hypervalent (electron-rich) chemical bonding as a design principle for new topological semimetals\, with a focus on quasi-one-dimensional hypervalent Bi chains. Delocalized\, electron-rich bonding has been shown to be an effective design principle to find new topological square-net materials\, with band inversion occurring at the Fermi level of compounds with the ideal electron count and number of atoms in the unit cell. Through these synthetic and bonding approaches to identifying new topological materials\, we show that chemists play a vital role in advancing the field. \n 
URL:https://seasevents.nmsdev7.com/event/mse-seminar-chemical-bonds-in-topological-materials-princeton-university/
LOCATION:Glandt Forum\, Singh Center for Nanotechnology\, 3205 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:20230228T103000
DTEND;TZID=America/New_York:20230228T113000
DTSTAMP:20260404T153416
CREATED:20230217T172708Z
LAST-MODIFIED:20230217T172708Z
UID:10007484-1677580200-1677583800@seasevents.nmsdev7.com
SUMMARY:BE Master's Student Focus Group
DESCRIPTION:Attention BE Master’s Students! We want your thoughts on the job search! Sign up for this upcoming focus group to give us your opinion on industries of interest\, employers & recruiting events. \nRegister now: http://tinyurl.com/bdzz8cna. \nContact Lauren Kemp with any questions: laurem@seas.upenn.edu
URL:https://seasevents.nmsdev7.com/event/be-masters-student-focus-group/
LOCATION:PA
CATEGORIES:Meeting,Graduate,Student,Master's
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230228T123000
DTEND;TZID=America/New_York:20230228T133000
DTSTAMP:20260404T153416
CREATED:20230215T163252Z
LAST-MODIFIED:20230215T163252Z
UID:10007479-1677587400-1677591000@seasevents.nmsdev7.com
SUMMARY:ESE Spring Seminar - "An Architect’s Perspective on Quantum Computer Scaling: Why\, What\, and How?"
DESCRIPTION:Quantum computation has potential to solve problems that are out of reach for today’s classical computers. Many of the proposed applications for quantum computers (QCs)\, such as those in chemistry\, material science\, and optimization\, are capable of substantial human impact. However\, the full promise of quantum will only be realized if better qubits and QCs emerge that are capable of large-scale computation. The roadmap to QC scaling does not only contain a single path but many that run in parallel. In addition to pursuing devices with more qubits\, quantum researchers must 1) co-design software that pushes the frontier of existing machines and 2) build models that guide future QC design toward optimized performance. In this talk\, I discuss the why\, what\, and how involved with scaling today’s QCs. First\, I motivate the pursuit of quantum computing and introduce fundamental concepts. Next\, I present a case study that explores optimized quantum circuit compilation\, reducing decoherence via circuit slack. I show how quantum algorithms can adapt to the unique characteristics of today’s QCs through optimized gate scheduling\, leading to significant improvements in success during runtime. In the third part of this talk\, hardware challenges that restrict the number qubits on-chip are highlighted. With a focus on fixed-frequency transmon QCs\, I explore the viability of modular architectures to scale quantum devices\, presenting promising results in terms of yield\, gate performance\, and application-based analysis. Finally\, an outlook is given on future directions in QC software and hardware co-design that aim to accelerate progress toward achieving practical quantum machines.
URL:https://seasevents.nmsdev7.com/event/ese-spring-seminar-an-architects-perspective-on-quantum-computer-scaling-why-what-and-how/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd 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:20230228T153000
DTEND;TZID=America/New_York:20230228T163000
DTSTAMP:20260404T153416
CREATED:20230222T170751Z
LAST-MODIFIED:20230222T170751Z
UID:10007493-1677598200-1677601800@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Privacy-Preserving Accountability Online"
DESCRIPTION:Technologies that enable confidential communication and anonymous authentication are important for improving privacy for users of internet services. Unfortunately\, encryption and anonymity\, while good for privacy\, make it hard to hold bad actors accountable for misbehavior. Internet services rely on seeing message content to detect spam and other harmful content; services must also be able to identify users to attribute and respond to abuse complaints. This tension between privacy and accountability leads to one of two suboptimal outcomes: Services require excessive trust in centralized entities to hold users accountable for misbehavior\, or services leave themselves and/or their users open to abuse. \nIn this talk\, I will highlight two example applications\, end-to-end encrypted messaging and anonymous web browsing\, where this tension arises and how gaps in accountability can lead to real-world attacks. I will discuss how I have addressed this tension through the design of new cryptographic protocols that preserve user privacy while also providing mechanisms for holding bad actors accountable. In particular\, I will cover new protocols for anonymous blocklisting\, one-time-use credentials\, and transparent key infrastructure.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-privacy-preserving-accountability-online-3/
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:20230301T120000
DTEND;TZID=America/New_York:20230301T133000
DTSTAMP:20260404T153416
CREATED:20220913T151012Z
LAST-MODIFIED:20220913T151012Z
UID:10007282-1677672000-1677677400@seasevents.nmsdev7.com
SUMMARY:ASSET Seminar: Statistical and Machine Learning for Electronic Health Records: Challenges and Opportunities\, Qi Long (University of Pennsylvania)
DESCRIPTION:ABSTRACT: \nElectronic health records (EHRs) offer great promises in advancing clinical research and transforming learning health systems. However\, complex\, temporal EHRs are fraught with biases and present daunting analytical challenges that\, if not addressed\, can exacerbate health inequities. EHRs data\, recorded at irregular time intervals with varying frequencies\, are multi-modal and multi-scale including structured data such as labs and vitals\, codified data such as diagnosis and procedure codes\, and unstructured data such as doctor notes and pathology reports. They are typically incomplete and contain various data errors. What’s more\, data gaps and errors in EHRs are often unequally distributed across patient groups: People with less access to care\, often people of color or with lower socioeconomic status\, tend to have more incomplete EHRs. In this talk\, I will discuss these challenges and share my research group’s recent work on developing robust statistical and machine learning methods for addressing some of these challenges. Our experience has demonstrated that a trans-disciplinary health data science approach that involves collaboration between statisticians\, informaticians\, computer scientists\, and physician scientists can accelerate innovation in harnessing the full power of EHRs to tackle complex real-world problems and exert meaningful impact in medicine. To this end\, I will also discuss some open questions that present opportunities for future research and collaboration.
URL:https://seasevents.nmsdev7.com/event/asset-seminar-tba-aleksander-madry-massachusetts-institute-of-technology/
LOCATION:Levine 307\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230301T150000
DTEND;TZID=America/New_York:20230301T160000
DTSTAMP:20260404T153416
CREATED:20230217T181325Z
LAST-MODIFIED:20230217T181325Z
UID:10007486-1677682800-1677686400@seasevents.nmsdev7.com
SUMMARY:Spring 2023 GRASP SFI: Edward Hu\, University of Pennsylvania\, “Focusing on Task-Relevant Information in RL for Robots”
DESCRIPTION:This is a hybrid event with in-person attendance in Levine 307 and virtual attendance via Zoom. This week’s presenter will be in-person as well. \nABSTRACT\nWhile it is tempting to view robotics as a nail that can be solved with the deep learning hammer\, we have seen that deep-learning based perception and action pipelines for robots are notoriously brittle and data hungry. In this talk\, I advocate for a more measured approach for designing data-driven controllers by focusing learning on task-relevant portions of the MDP. Through this philosophy\, I show that we can acquire capable learning systems that can transfer between morphologically distinct robots\, intelligently probe the environment for imperceptible reward signals\, and perform deep exploration with no priors.
URL:https://seasevents.nmsdev7.com/event/spring-2023-grasp-sfi-edward-hu/
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:20230301T153000
DTEND;TZID=America/New_York:20230301T163000
DTSTAMP:20260404T153416
CREATED:20230206T141639Z
LAST-MODIFIED:20230206T141639Z
UID:10007459-1677684600-1677688200@seasevents.nmsdev7.com
SUMMARY:CBE Seminar Series: "Decisions through Oscillation: Learning from Endothelial Cells" (Andre Levchenko\, Yale University)
DESCRIPTION:Abstract: \nBlood vessels constitute one of the most complex and most essential biological systems\, sometimes referred to as a separate organ. Endothelial cells\, lining blood vessels are also one of the most ‘plastic’ cell types\, capable of a wide range of responses to external stimuli\, conditioned on their internal states and micro-environment. Strikingly\, many of these responses are triggered by the same signal\, the growth factor VEGF. Understanding how the same input can trigger a variety of cellular responses in a consistent and meaningful manner has been one of the key challenges of systems biology. In this talk\, based on a series of recent studies at our lab\, I will share the lessons we learned about encoding and decoding of the information in cellular signaling networks more generally and in endothelial cells more specifically. In particular\, I will discuss the ubiquitous presence and importance of dynamically fluctuating biochemical signaling in these and other cellular networks controlling different response time scales and outcomes. \nBio: \nAndre Levchenko is a John C. Malone Professor of Biomedical Engineering at Yale University and the Director of Yale Systems Biology Institute. He graduated from Moscow Institute for Physics and Technology with MS and from Columbia University with the doctoral degrees. He completed his postdoctoral studies at Caltech\, working in genetics and computer science. Thereafter\, he spent 12 years on faculty of Johns Hopkins University BME department\, rising through the ranks to Full Professor. In 2013\, he was recruited to Yale as a founding director of the new systems biology institute. Prof. Levchenko has made foundational contributions to systems biology of cellular signaling\, analysis of cell migration and development of novel micro- and nano-fabricated platforms for assaying cellular functions. He is a Fellow of the Biomedical Engineering Society\, American Physical Society\, American Institute for Medical and Biological Engineering and an elected member of Connecticut Academy of Science and Engineering.
URL:https://seasevents.nmsdev7.com/event/cbe-seminar-series-decisions-through-oscillation-learning-from-endothelial-cells-andre-levchenko-yale-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:20230302T100000
DTEND;TZID=America/New_York:20230302T113000
DTSTAMP:20260404T153416
CREATED:20230214T192518Z
LAST-MODIFIED:20230214T192518Z
UID:10007478-1677751200-1677756600@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Control of Jump Stochastic Systems by Learning Recurrent Spatiotemporal Patterns"
DESCRIPTION:Efficient learning for stochastic control and estimation remains a topic of high interest in a variety of disciplines and there are well-known advantages and disadvantages to both model-free and model-based learning. On one hand\, it is becoming increasingly more feasible to rely entirely on model-free/data-driven methods for controlling complex stochastic systems\, but a well-known issue with these methods is the inefficiency of their data consumption and computation time. On the other hand\, most model-based control methods are designed for a very simple class of stochastic systems\, e.g.\, Gaussian white noise systems. In this talk\, our aim is to leverage the abundance of tools and theory from mathematics on various stochastic processes to expand the capabilities of model-based methods so that model-free methods don’t need to be implemented end-to-end. We demonstrate this with the broad class of jump stochastic systems (JSSs)\, i.e.\, systems with random and repetitive jump phenomena\, which are an excellent case study due to the plentiful theory that exists on various jump processes and because JSSs are highly prevalent in diverse real-world applications. The core part of this talk will focus on the development of a controller architecture called “pattern-learning for prediction” (PLP) for discrete-time/discrete-event systems (e.g.\, Markovian jump systems)\, in which we take advantage of the fact that the driving stochastic process is a sequence of random variables that occurs as repeated “patterns of interest”. We then present explicit implementations of the PLP controller architecture to two real-world applications: 1) the control of networks with dynamic topology (e.g.\, fault-tolerant control of a power grid susceptible to line failures)\, for which PLP is integrated with variations of the novel system level synthesis framework for disturbance-rejection; 2) the congestion control of vehicle traffic flow over metropolitan networks of signalized intersections\, for which PLP is extended to a version called “pattern learning with memory and prediction” via the integration of episodic control to reduce memory consumption.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-control-of-jump-stochastic-systems-by-learning-recurrent-spatiotemporal-patterns/
LOCATION:Glandt Forum\, Singh Center for Nanotechnology\, 3205 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:20230302T103000
DTEND;TZID=America/New_York:20230302T233000
DTSTAMP:20260404T153416
CREATED:20230217T175359Z
LAST-MODIFIED:20230217T175359Z
UID:10007487-1677753000-1677799800@seasevents.nmsdev7.com
SUMMARY:MSE Seminar: "Fundamental Understanding of Mechanical Properties and Deformation Mechanisms of Emerging Complex Alloys Serving under Extreme Conditions" (Lawrence Berkeley National Laboratory)
DESCRIPTION:The development of stronger and tougher materials serving under extreme conditions is a long-term goal of materials research that has been made even more urgent recently by our quests for space exploration and energy sustainability. Recently\, the advent of alloys with increased complexity\, e.g.\, multi-principal element alloys (MPEAs)\, additively manufactured (AM) alloys\, and alloys with hierarchical microstructures\, has brought forth vast opportunities for the discovery and design of new materials with unprecedented mechanical properties that can meet the engineering requirements for these applications. This seminar navigates the scientific frontiers of emerging complex alloys through a wide range of temperatures: 1. The excellent combination of strength and toughness for CrCoNi-based FCC MPEAs at cryogenic or room  emperatures; 2. The loss of strength for CrCoNi-based FCC MPEAs at intermediate temperatures and its remedies using additive manufacturing and oxide dispersion strengthening; and 3. The prospects and limitations of high-temperature\, high-strength BCC refractory MPEAs and BCC/B2 refractory high-entropy superalloys. These fundamental investigations demonstrate how the combination of dedicated mechanical testing\, state-of-the-art characterization\, and multiscale computer simulations can advance the understanding and development of these highly complex alloys.
URL:https://seasevents.nmsdev7.com/event/mse-seminar-fundamental-understanding-of-mechanical-properties-and-deformation-mechanisms-of-emerging-complex-alloys-serving-under-extreme-conditions-lawrence-berkeley-national-laboratory/
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:20230302T123000
DTEND;TZID=America/New_York:20230302T133000
DTSTAMP:20260404T153416
CREATED:20230223T194520Z
LAST-MODIFIED:20230223T194520Z
UID:10007495-1677760200-1677763800@seasevents.nmsdev7.com
SUMMARY:ESE Spring Seminar - "Scalable Data-Driven Decision-Making for Smart Autonomous Power and Energy Systems"
DESCRIPTION:Rapidly growing renewable generations and peak loads pose a serious threat to the security and reliability of modern power and energy systems. A critical question is “how to accommodate a high penetration of renewable generation and deep electrification?”. This talk focuses on two key challenges\, i.e.\, unknown information and the scalability issue of coordinating large-scale distributed energy resources. I will present two examples of developing distributed algorithms and learning-assisted control methods to address these challenges. One example is distributed model-free optimal voltage control to handle unknown physical system models\, and the other is online learning and human-in-the-loop decision-making for residential demand response to deal with unknown human user behaviors.
URL:https://seasevents.nmsdev7.com/event/ese-spring-seminar-scalable-data-driven-decision-making-for-smart-autonomous-power-and-energy-systems/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd 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:20230302T130000
DTEND;TZID=America/New_York:20230302T140000
DTSTAMP:20260404T153416
CREATED:20230217T161257Z
LAST-MODIFIED:20230217T161257Z
UID:10007482-1677762000-1677765600@seasevents.nmsdev7.com
SUMMARY:CNT/PHT Seminar: "The Future of Brain Interfacing" (Philip Sabes\, Neuralink\, UCSF)
DESCRIPTION:“The Future of Brain Interfacing”\nBrain interfacing holds immense promise\, both for restoring lost sensory\, motor or cognitive function and for the treatment of neurological and neuropsychiatric disorders. The promise is driving a great deal of interest in brain interfacing technologies — from researchers\, industry\, investors\, and the public — yet the clinical impact of these technologies is still limited. I’ll present my view of present state of brain interfacing and the key challenges and opportunities\, as seen through the lens of my earlier research at UCSF and my more recent work in the startup world.\n\nCo-hosted by the Center for Neuroengineering and Therapeutics (CNT) and Penn Health-Tech (PHT): contact littlab@seas.upenn.edu with any questions.\n\nRSVP here
URL:https://seasevents.nmsdev7.com/event/cnt-seminar-philip-sabes-starfish-neuroscience-neuralink-ucsf/
LOCATION:Rubenstein Audtorium\, Smilow Center for Translational Research
CATEGORIES:Seminar
ORGANIZER;CN="Center for Neuroengineering and Therapeutics":MAILTO:littlab@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230302T153000
DTEND;TZID=America/New_York:20230302T163000
DTSTAMP:20260404T153416
CREATED:20221220T151733Z
LAST-MODIFIED:20221220T151733Z
UID:10007390-1677771000-1677774600@seasevents.nmsdev7.com
SUMMARY:BE Seminar: "Building Tissues: Engineering Complexity Through Biomaterial Design" (Brendan Harley\, University of Illinois)
DESCRIPTION:Advances in the fields of tissue engineering and regenerative medicine require biomaterials that instruct\, rather than simply permit\, a desired cellular response. A major challenge to progress in our field is the complex organization of the tissues in our bodies\, which are hierarchical\, vary in space and time\, and can differ person-to person. Prof. Harley’s research program is developing approaches to structurally and biomolecularly pattern biomaterials to enable tissue regeneration after injury as well as to study processes linked to homeostasis and disease progression outside of the body. A major area of our work targets development of a degradable biomaterial to regenerate craniomaxillofacial bones and musculoskeletal insertions. We are using bioinspired design motifs to create composite materials that instruct desired cell activities while retaining mechanical competence required for clinical translation. I will describe (granular) hydrogel models to study niche regulation of hematopoietic stem cells and patient-derived glioblastoma specimens. These tools enable study of dynamic processes such as niche remodeling and reciprocal signaling linked to stem cell quiescence as well as the role of angiocrine signals and immune interactions on invasive spreading and drug resistance in primary brain cancer. We are adapting these approaches to develop hierarchical models of the endometrial tissue microenvironment to investigate trophoblast invasion and endometrial pathologies.
URL:https://seasevents.nmsdev7.com/event/be-seminar-brendan-harley-university-of-illinois/
LOCATION:Glandt Forum\, Singh Center for Nanotechnology\, 3205 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230302T153000
DTEND;TZID=America/New_York:20230302T163000
DTSTAMP:20260404T153416
CREATED:20230227T190433Z
LAST-MODIFIED:20230227T190433Z
UID:10007500-1677771000-1677774600@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: " Foundations of Responsible Machine Learning"
DESCRIPTION:Algorithms make predictions about people constantly.  The spread of such prediction systems has raised concerns that machine learning algorithms may exhibit problematic behavior\, especially against individuals from marginalized groups.  This talk will provide an overview of my research building a theory of “responsible” machine learning.  I will highlight a notion of fairness in prediction\, called Multicalibration (ICML’18)\, which requires predictions to be well-calibrated\, not simply overall\, but on every group that can be meaningfully identified from data.  This “multi-group” approach strengthens the guarantees of group fairness definitions\, without incurring the costs (statistical and computational) associated with individual-level protections.  Additionally\, I will present a new paradigm for learning\, Outcome Indistinguishability (STOC’21)\, which provides a broad framework for learning predictors satisfying formal guarantees of responsibility.  Finally\, I will discuss the threat of Undetectable Backdoors (FOCS’22)\, which represent a serious challenge for building trust in machine learning models.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-foundations-of-responsible-machine-learning/
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
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230303T103000
DTEND;TZID=America/New_York:20230303T114500
DTSTAMP:20260404T153416
CREATED:20230216T212812Z
LAST-MODIFIED:20230216T212812Z
UID:10007481-1677839400-1677843900@seasevents.nmsdev7.com
SUMMARY:Spring 2023 GRASP on Robotics: Jeannette Bohg\, Stanford University\, "Scaling Robot Learning for Long-Horizon Manipulation Tasks with Language\, Logic and Youtube"
DESCRIPTION:This is a hybrid event with in-person attendance in Wu and Chen and virtual attendance via Zoom. This week’s presenter will be in-person as well.  \n  \nABSTRACT\nMy long-term research goal is enable real robots to manipulate any kind of object such that they can perform many different tasks in a wide variety of application scenarios such as in our homes\, in hospitals\, warehouses\, or factories. Many of these tasks will require long-horizon reasoning and sequencing of skills to achieve a goal state. While learning approaches promise generalization beyond what the robot has seen during training\, they require large data collection – a challenge when operating on real robots and specifically for long-horizon tasks. In this talk\, I will present our work on enabling long-horizon reasoning on real robots for a variety of different long-horizon tasks that can be solved by sequencing a large variety of composable skill primitives. We approach this problem from many different angles such as (i) using large-scale\, language-annotated video datasets as a cheap data source for skill learning; (ii) sequencing these learned skill primitives to resolve geometric dependencies prevalent in long-horizon tasks; (iii) learning grounded predicates thereby enabling closed-loop\, symbolic task planning.
URL:https://seasevents.nmsdev7.com/event/spring-2023-grasp-on-robotics-jeannette-bohg/
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:20230303T153000
DTEND;TZID=America/New_York:20230303T153000
DTSTAMP:20260404T153416
CREATED:20230210T174214Z
LAST-MODIFIED:20230210T174214Z
UID:10007472-1677857400-1677857400@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Strategies for Approaching One Hundred Percent Dense Lithium-Ion Battery Cathodes"
DESCRIPTION:Creating thick electrodes with low porosity can dramatically increase the available energy in a single cell and decrease the number of electrode stacks needed in a full battery\, which results in higher energy\, lower cost\, and easier to manufacture batteries. However\, existing electrode architectures cannot simultaneously achieve thick electrodes with high active material volume fractions and good power. These particle-based architectures rely on electrolyte transport within the pores of the cathode to fully lithiate active material particles during discharge. As cathode solid volume fractions approach 100%\, batteries experience electrolyte depletion which leads to inaccessible cathode reaction sites. The additional theoretical capacity that comes from increased cathode density\, therefore\, is impractical if that energy cannot be fully extracted. \nWe combine experiments and simulations of high density and high thickness cathodes to understand the transport and performance trade-offs of LIBs as the cathode solid volume fraction approaches 100%\, which we use to reveal the cathode properties needed to achieve high performance at high relative density and thickness. We use one- and two-dimensional simulations to compare the discharge performance of two cathode architectures\, a traditional particle-based architecture and a continuous cathode architecture created via electrodeposition. We show that there is a large opportunity space for improved energy density at high relative densities by using new electrode manufacturing techniques to create continuous diffusion pathways and high diffusivities. \nThis work uses a comparative analysis of cathode architectures to explore the interdependent impact of solid volume fraction\, solid-diffusivity\, cathode thickness\, and discharge rate on lithium-ion battery areal capacity. We should how a combination of high diffusivity and continuous solid-state diffusion pathways provides an exciting path for realizing ultra-dense and thick cathodes with high energy density.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-strategies-for-approaching-one-hundred-percent-dense-lithium-ion-battery-cathodes/
LOCATION:Towne 309\, 220 S. 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
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