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:20210314T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20211107T060000
END:STANDARD
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
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220324T153000
DTEND;TZID=America/New_York:20220324T163000
DTSTAMP:20260406T071454
CREATED:20220221T193142Z
LAST-MODIFIED:20220221T193142Z
UID:10007097-1648135800-1648139400@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Formal verification of a concurrent file system"
DESCRIPTION:Bugs in systems software like file systems\, databases\, and operating systems can have serious consequences\, ranging from security vulnerabilities to data loss\, and these bugs affect all the applications built on top. Systems verification is a promising approach to improve the reliability of our computing infrastructure\, since it can eliminate whole classes of bugs through machine-checked proofs that show a system always meets its specification. \nIn this talk\, I’ll present a line of work culminating in a verified\, concurrent file system called DaisyNFS. The file system comes with a proof that shows operations appear to execute correctly and atomically (that is\, all-or-nothing)\, even if the computer crashes and when processing concurrent operations. I’ll describe how a combination of design and verification techniques make it possible to carry out the proof for an efficient implementation.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-formal-verification-of-a-concurrent-file-system/
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:20220325T103000
DTEND;TZID=America/New_York:20220325T114500
DTSTAMP:20260406T071454
CREATED:20220119T191028Z
LAST-MODIFIED:20220119T191028Z
UID:10007024-1648204200-1648208700@seasevents.nmsdev7.com
SUMMARY:GRASP on Robotics: Cornelia Fermüller\, University of Maryland\, “Bio-inspired Motion Analysis”
DESCRIPTION:Visual motion is a powerful cue that any animal uses\, but computational vision has not fully taken advantage of it. Classically\, Computer Vision and Robotics seeks to reconstruct models of the world by first computing from consecutive video frames the displacement of image points or the optical flow\, and then computing from these measurements 3D motion and scene geometry. Different from this approach\, I have explored the cue of visual motion along three different directions. First\, using neuromorphic event-based sensors which do not record image frames but temporal information about scene changes\, we obtain data in form of point clouds in x-y-t space that approximates continuous motion. By taking advantage of the density of the data at motion boundaries\, we developed algorithms for motion segmentation for the most challenging scenarios. Second\, by changing the classical sequence of computations\, and estimating 3D motion from robust image motion along gradients before introducing regularization constraints for 3D scene reconstruction\, we have developed classical optimization and machine learning algorithms that are more robust and generalize better to new scenarios. Third\, I show experiments on visual illusions that give an indication of the motion computations in the early visual processes in nature and point to directions for improving current motion computations.
URL:https://seasevents.nmsdev7.com/event/grasp-on-robotics-bio-inspired-motion-analysis/
LOCATION:Berger Auditorium (Room 13)\, Skirkanich Hall\, 210 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
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:20220325T140000
DTEND;TZID=America/New_York:20220325T150000
DTSTAMP:20260406T071454
CREATED:20211209T200449Z
LAST-MODIFIED:20211209T200449Z
UID:10006993-1648216800-1648220400@seasevents.nmsdev7.com
SUMMARY:PICS Colloquium: "Taking a layman's perspective to turbulence modeling"
DESCRIPTION:Abstract: Turbulence is an unsolved problem in classical physics. Its modeling often involves physical\, mathematical\, and numerical concepts that are daunting to even experienced engineers. This makes it very hard for a user to take a turbulence model from the literature and apply it in real-world engineering. This talk will take a layman’s perspective to turbulence modeling. Special attention will be given to near-wall turbulence modeling. We will try to discuss the following two possibilities\, both of which are brought to us by colleagues outside the wall modeling community. First\, the possibility of breaking the speed-accuracy-tradeoff curse and developing a wall model that effortlessly accounts for non-equilibrium effects. Second\, the possibility of giving a layman the ability to make informed decisions as a seasoned engineer when selecting a turbulence model.
URL:https://seasevents.nmsdev7.com/event/pics-colloquium-taking-a-laymans-perspective-to-turbulence-modeling/
LOCATION:PICS Conference Room 534 – A Wing \, 5th Floor\, 3401 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Colloquium
ORGANIZER;CN="Penn Institute for Computational Science (PICS)":MAILTO:dkparks@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220328T120000
DTEND;TZID=America/New_York:20220328T130000
DTSTAMP:20260406T071454
CREATED:20220207T143717Z
LAST-MODIFIED:20220207T143717Z
UID:10007069-1648468800-1648472400@seasevents.nmsdev7.com
SUMMARY:PSOC@Penn Seminar: Keshav Patil
DESCRIPTION:Physical Sciences in Oncology Center PSOC@Penn \nSpring 2022 Hybrid-Seminar Series \nTowne 225 / Raisler Lounge @ Noon (EST) \nFor Zoom link \, please contact manu@seas.upenn.edu
URL:https://seasevents.nmsdev7.com/event/psocpenn-seminar-gabriela-witek/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar,Doctoral,Graduate,Student
ORGANIZER;CN="PSOC":MAILTO:manu@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220329T100000
DTEND;TZID=America/New_York:20220329T113000
DTSTAMP:20260406T071454
CREATED:20220228T222727Z
LAST-MODIFIED:20220228T222727Z
UID:10007104-1648548000-1648553400@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Biomimetic Design of Marine Robots and Sensors"
DESCRIPTION:Inspiration from animal function can lead to effective design of engineered systems. Ocean systems benefit especially as operation in a heavy medium such as water imparts significant forces. We provide two examples of biomimetic design. In the first example\, morphing fins inspired from tunas are used to dynamically change the directional stability qualities of rigid hull vehicles\, enabling ultra-rapid maneuvering when deployed\, while ensuring stable locomotion when retracted. Morpheus\, a one-meter-long autonomous vehicle\, developed with Lockheed Martin Corp. funding\, demonstrated the maneuvering performance enhancement in the field. In the second example\, sensors inspired from the vibrissae of sea lions exhibit great sensitivity to even minute turbulent flows\, enabling the detection of plumes and underwater navigation in cluttered environments. Finally\, we discuss how Machine Learning applied to experimental testing adds a new capability to underwater robotic system development.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-biomemetic-design-of-marine-robots-and-sensors/
LOCATION:Zoom – Email MEAM for Link\, peterlit@seas.upenn.edu
CATEGORIES:Seminar
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220329T110000
DTEND;TZID=America/New_York:20220329T120000
DTSTAMP:20260406T071454
CREATED:20220322T131043Z
LAST-MODIFIED:20220322T131043Z
UID:10007125-1648551600-1648555200@seasevents.nmsdev7.com
SUMMARY:ESE Spring Seminar - "New Frontiers in Quantum Simulation and Computation with Neutral Atom Arrays"
DESCRIPTION:Learning how to create\, study\, and manipulate highly entangled states of matter is key to understanding exotic phenomena in condensed matter and high energy physics\, as well as to the development of useful quantum computers. In this talk\, I will discuss recent experiments where we demonstrated the realization of a quantum spin liquid phase using Rydberg atoms on frustrated lattices and a new architecture based on the coherent transport of entangled atoms through a 2D array. Combining these results with novel technical tools on atom array platforms could open a broad range of possibilities for the exploration of entangled matter\, with powerful applications in quantum simulation and information.
URL:https://seasevents.nmsdev7.com/event/ese-spring-seminar-new-frontiers-in-quantum-simulation-and-computation-with-neutral-atom-arrays/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar,Colloquium
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220329T153000
DTEND;TZID=America/New_York:20220329T163000
DTSTAMP:20260406T071454
CREATED:20220323T164749Z
LAST-MODIFIED:20220323T164749Z
UID:10007129-1648567800-1648571400@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: " Quantum Computation and Cryptography: a changing landscape"
DESCRIPTION:Quantum computers will reshape the landscape of cryptography. On the one hand\, they threaten the security of most modern cryptosystems. On the other\, they offer fundamentally new ways to realize tasks that were never before thought to be possible. In this talk\, I will explore the interplay between quantum computation and cryptography\, and the many exciting questions at this intersection. I will describe examples that leverage quantum computers to protect against coercion in online elections\, and to prevent piracy of software.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-quantum-computation-and-cryptography-a-changing-landscape/
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:20220329T153000
DTEND;TZID=America/New_York:20220329T170000
DTSTAMP:20260406T071454
CREATED:20220131T154059Z
LAST-MODIFIED:20220131T154059Z
UID:10007056-1648567800-1648573200@seasevents.nmsdev7.com
SUMMARY:Herman P. Schwan Distinguished Lecture: "Nucleoside-modified mRNA-LNP therapeutics" (Drew Weissman\, Perelman School of Medicine)
DESCRIPTION:Vaccines prevent 4-5 million deaths a year making them the principal tool of medical intervention worldwide. Nucleoside-modified mRNA was developed over 15 years ago and has become the darling of the COVID-19 pandemic with the first 2 FDA approved vaccines based on it. These vaccines show greater than 90% efficacy and outstanding safety in clinical use. The mechanism for the outstanding immune response induction are the prolonged production of antigen leading to continuous loading of germinal centers and the adjuvant effect of the LNPs\, which selectively stimulate T follicular helper cells that drive germinal center responses. Vaccine against many pathogens\, including HIV\, HCV\, HSV2\, CMV\, universal influenza\, coronavirus variants\, pancoronavirus\, nipah\, norovirus\, malaria\, TB\, and many others are currently in development. Nucleoside-modified mRNA is also being developed for therapeutic protein delivery. Clinical trials with mRNA encoded monoclonal antibodies are underway and many other therapeutic or genetic deficient proteins are being developed. Finally\, nucleoside-modified mRNA-LNPs are being developed and used for gene therapy. Cas9 knockout to treat transthyretin amyloidosis has shown success in phase 1 trials. We have developed the ability to target specific cells and organs\, including lung\, brain\, heart\, CD4+ cells\, all T cells\, and bone marrow stem cells\, with LNPs allowing specific delivery of gene editing and insertion systems to treat diseases such as sickle cell anemia\, Nucleoside-modified mRNA will have an enormous potential in the development of new medical therapies. \nThe Herman P. Schwan Distinguished Lecture is in honor of one of the founding members of the Department of Bioengineering\, who emigrated from Germany after World War II and helped create the field of bioengineering in the US. It recognizes people with a similar transformative impact on the field of bioengineering. \nThis lecture will be held live in person (Bodek Lounge\, Houston Hall) and via Zoom. A reception will follow the in-person event.\nZoom link\nPassword: schwan22
URL:https://seasevents.nmsdev7.com/event/herman-p-schwan-distinguished-lecture-drew-weissman/
LOCATION:Bodek Lounge\, Houston Hall\, 3417 Spruce St\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar,Distinguished Lecture,Faculty
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220330T103000
DTEND;TZID=America/New_York:20220330T233000
DTSTAMP:20260406T071454
CREATED:20220302T130852Z
LAST-MODIFIED:20220302T130852Z
UID:10007108-1648636200-1648683000@seasevents.nmsdev7.com
SUMMARY:ESE Spring Seminar - "Building Photonic Systems for Extreme-Scale Computing\, Particle Accelerations\, and Beyond"
DESCRIPTION:A photonic-electronic system can potentially process enormous amounts of data that no stand-alone electronics have been capable of. Furthermore\, a chip-scale optical atomic clock can be so precise that it only loses the equivalent of one second every million years. In the foreseeable future\, highly integrated photonics can usher disruptive advances in communications\, deep learning\, and atomic-photonic integration. \nTo realize this vision\, my research has built multi-levels of the photonic system stacks from discrete nanophotonic devices\, all the way to creating advanced system-level demonstrations. In this talk\, I will introduce recent experiments where we demonstrate natively error-free terabit/s data transmission using integrated frequency combs and multi-dimensional silicon photonics circuits [1]. The frequency comb device transduces a narrow linewidth laser into a series of replicas over hundreds of frequency modes [2]. We employed photonic inverse design for wavelength and spatial multiplexing to enable bandwidth density on silicon photonic circuits to be three orders of magnitude higher than that of optical fibers. \nI will conclude my talk with applications and prospects for large-scale photonic systems that can manipulate atoms\, ions\, and free electrons\, along with my preliminary studies on UV-visible nonlinear optics and laser particle accelerations on a chip [3]. \n[1] K.Yang\, …\, J.Vuckovic\, arXiv: 2103.14139 (2021). \n[2] K.Yang\, …\, K.Vahala\, Nature Photonics 12\, 297 – 302 (2018); M.Guidry*\, D.Lukin*\, K.Yang*\, …\, J.Vuckovic\, Nature Photonics 16\, 52 – 58 (2022). \n[3] D.Oh*\, K.Yang*\, …\, K.Vahala\, Nature Communications 8\, 13922 (2017); N.Sapra\, K.Yang\, …\, J.Vuckovic\, Science 367\, 79 – 83 (2020).
URL:https://seasevents.nmsdev7.com/event/ese-spring-seminar-building-photonic-systems-for-extreme-scale-computing-particle-accelerations-and-beyond/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar,Colloquium
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220330T150000
DTEND;TZID=America/New_York:20220330T160000
DTSTAMP:20260406T071454
CREATED:20220324T200038Z
LAST-MODIFIED:20220324T200038Z
UID:10007132-1648652400-1648656000@seasevents.nmsdev7.com
SUMMARY:Spring 2022 GRASP SFI: Rahul Mangharam\, University of Pennsylvania\, “Balancing Performance and Safety in Autonomous Vehicles”
DESCRIPTION:*This will be a HYBRID Event with in-person attendance in Levine 512 and Virtual attendance via Zoom \nBalancing performance and safety are crucial to deploying autonomous vehicles in multi-agent environments. In particular\, autonomous racing is a domain that penalizes safe but conservative policies\, highlighting the need for robust\, adaptive strategies. Current approaches either make simplifying assumptions about other agents or lack robust mechanisms for online adaptation. In this talk we will explore research themes on perception\, planning and control at the limits of performance. We explore (1) How to build the most efficient autonomous racecar with Multi-domain optimization across vehicle design\, planning and control; (2) How to generate the most competitive agents who dynamically balance safety and assertiveness by using distributionally robust online adaptation; We realize all our research in the https://f1tenth.org autonomous racecar platform that is 10th the size\, but 10x the fun! The main take away from this talk is how you can get involved in very exciting research on safe autonomous systems.  I will also present projects on AV Bus and AV Gokart that we are doing in the Autoware Center of Excellence for Autonomous Driving at Pennovation.
URL:https://seasevents.nmsdev7.com/event/spring-2022-grasp-sfi-rahul-mangharam-university-of-pennsylvania-balancing-performance-and-safety-in-autonomous-vehicles/
LOCATION:Levine 512
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:20220330T153000
DTEND;TZID=America/New_York:20220330T163000
DTSTAMP:20260406T071454
CREATED:20220114T224506Z
LAST-MODIFIED:20220114T224506Z
UID:10007017-1648654200-1648657800@seasevents.nmsdev7.com
SUMMARY:CBE Seminar: "Understanding and Designing Complex Materials to Stabilize Proteins and Enable Supra-Biological Properties”
DESCRIPTION:Abstract \nOur group is broadly focused on understanding and controlling the intersection of biology and materials at the molecular level. This intersection is critical in many areas of biotechnology where proteins and enzymes are integrated into or in constant contact with materials\, including biocatalysis\, tissue engineering\, drug delivery\, biosensing\, and vaccine formulation. In line with this interest\, we have developed a novel approach to elucidate the structure and transient behavior of protein molecules at the solution-solid interface based on dynamic single-molecule tracking. This approach\, which is uniquely sensitive to structural and interfacial dynamics\, includes the use of high throughput tracking of protein molecules by means of internal reflection fluorescence (TIRF) microscopy in combination with intramolecular as well as intermolecular Forster resonance energy transfer (FRET). An important aspect of this approach is the use of bioorthogonal labeling techniques to site-specifically introduce donor and acceptor fluorophores\, which allow fluctuations in FRET efficiency to be correlated with changes in protein structure. Notably\, in this approach\, as many as 106 protein molecules are tracked as they adsorb\, desorb\, diffuse\, and simultaneously undergo conformational changes and/or intermolecular associations\, permitting the statistical identification of dynamic\, spatial\, and population heterogeneity. The subsequent correlation of these dynamic behaviors on a molecule-by-molecule basis via large-scale multi-variate analyses\, moreover\, provides new insights into the connection between interfacial dynamics and protein structure. This talk will specifically focus on the application of this approach to understand the connection between protein dynamics and conformation\, and to rationally improve enzyme function.
URL:https://seasevents.nmsdev7.com/event/cbe-seminar-understanding-and-designing-complex-materials-to-stabilize-proteins-and-enable-supra-biological-properties/
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:20220330T153000
DTEND;TZID=America/New_York:20220330T163000
DTSTAMP:20260406T071454
CREATED:20220323T201520Z
LAST-MODIFIED:20220323T201520Z
UID:10007130-1648654200-1648657800@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Building the Reliability Stack for Machine Learning"
DESCRIPTION:Currently\, machine learning (ML) systems have impressive performance but can behave in unexpected ways. These systems latch onto unintuitive patterns and are easily compromised\, a source of grave concern for deployed ML in settings such as healthcare\, security\, and autonomous driving. In this talk\, I will discuss how we can redesign the core ML pipeline to create reliable systems. First\, I will show how to train provably robust models\, which enables formal robustness guarantees for complex deep networks. Next\, I will demonstrate how to make ML models more debuggable. This amplifies our ability to diagnose failure modes\, such as hidden biases or spurious correlations. To conclude\, I will discuss how we can build upon this “reliability stack” to enable broader robustness requirements\, and develop new primitives that make ML debuggable by design.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-building-the-reliability-stack-for-machine-learning/
LOCATION:Levine 307\, 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:20220331T110000
DTEND;TZID=America/New_York:20220331T120000
DTSTAMP:20260406T071454
CREATED:20220322T195015Z
LAST-MODIFIED:20220322T195015Z
UID:10007128-1648724400-1648728000@seasevents.nmsdev7.com
SUMMARY:ESE Spring Seminar - "From Exact Laws to Design Principles of Quantum Information Machines"
DESCRIPTION:Many-body quantum systems are the most powerful computers allowed by Nature. \nHow do they work? Can we control them? Are they useful? \nIn this talk\, I discuss how recent results in quantum information theory translate into quantum engineering solutions. I introduce a geometric information measure that rigorously evaluates the difference between two complex configurations of arbitrarily large quantum systems\, e.g.\, thousands of interacting atoms. The result is instrumental in finding the maximum conversion rate of physical resources\, such as energy and time\, into quantum computational power. A simple but universally valid inequality\, formally similar to the Heisenberg uncertainty relations\, bounds the size of a program that creates a target quantum state by its experimental cost. \nFinally\, I outline strategies to tackle critical problems related to information storage in quantum networks\, diagnostics of quantum devices\, and quantum sensing. New ways to identify\, quantify\, and harness distinctive traits of quantum particles\, e.g.\, entanglement\, will accelerate the transition of quantum technologies from textbooks to reality
URL:https://seasevents.nmsdev7.com/event/ese-spring-seminar-from-exact-laws-to-design-principles-of-quantum-information-machines/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar,Colloquium
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220331T153000
DTEND;TZID=America/New_York:20220331T163000
DTSTAMP:20260406T071454
CREATED:20220131T154813Z
LAST-MODIFIED:20220131T154813Z
UID:10007057-1648740600-1648744200@seasevents.nmsdev7.com
SUMMARY:BE Seminar: "Engineered Systems for Controlling Cellular Microenvironments: From Synthetic Extracellular Matrices to Multidimensional Disease Models" (April M. Kloxin)
DESCRIPTION:This seminar will be held in person and via zoom – check email for link. \nThe properties of the microenvironment in which cells reside\, from structure to mechanics and biochemical content\, increasingly are recognized as important drivers of cell function and fate\, including in the onset and progression of disease (e.g.\, late cancer recurrence and fibrosis).  Engineering soft materials to mimic key features of these complex microenvironments offers unique opportunities to probe and direct cellular functions and to test hypotheses about the role of specific extracellular cues in these diseases. In this seminar\, I will share our recent efforts to design reductionist synthetic mimics of complex collagen-rich microenvironments.  Specific applications of these and other engineered systems will be discussed for the creation of relevant multidimensional controlled cell culture models.  Further\, the opportunity that ‘omics’ tools provide for interrogation of cell responses within these engineered systems\, from benchmarking versus in vivo and patient data to obtaining unique insights into cellular responses\, also will be highlighted.  This multipronged approach to understanding cell-microenvironment interactions is providing new tools and insights for addressing currently intractable diseases\, including lung fibrosis and late cancer recurrence.
URL:https://seasevents.nmsdev7.com/event/be-seminar-april-m-kloxin/
LOCATION:Room 337\, Towne Building\, 220 South 33rd 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:20220331T153000
DTEND;TZID=America/New_York:20220331T163000
DTSTAMP:20260406T071454
CREATED:20220324T132300Z
LAST-MODIFIED:20220324T132300Z
UID:10007131-1648740600-1648744200@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: “Towards a Foundation for Reinforcement Learning”
DESCRIPTION:In recent years\, reinforcement learning algorithms have achieved strong empirical success on a wide variety of real-world problems. However\, these algorithms usually require a huge number of samples even just for solving simple tasks. It is unclear if there are fundamental statistical limits on such methods\, or such sample complexity burden can be alleviated by a better algorithm. In this talk\, I will give an overview of my research efforts towards bridging the gap between the theory and the practice of reinforcement learning. \nIn the first part of the talk\, I will show that under conditions that permit sample-efficient supervised learning\, any offline reinforcement learning algorithm still requires exponential number of samples information-theoretically\, due to a geometric amplification of the estimation error. Moreover\, through extensive experiments on a range of tasks\, I will show that substantial error amplification does occur in practical scenarios. Our results highlight a crucial difference between offline reinforcement learning and supervised learning. I will conclude this part by suggesting possible ways to improve the performance of practical reinforcement learning systems based on our new insights. \nIn the second part of the talk\, I will focus on the horizon-dependence of the sample complexity of tabular reinforcement learning. I will show the first tabular reinforcement learning algorithm whose sample complexity is completely independent of the horizon length. Our result resolves a fundamental open problem in reinforcement learning theory.
URL:https://seasevents.nmsdev7.com/event/6597/
LOCATION:Zoom – Email CIS for link\, cherylh@cis.upenn.edu
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220401T103000
DTEND;TZID=America/New_York:20220401T114500
DTSTAMP:20260406T071454
CREATED:20220309T145002Z
LAST-MODIFIED:20220309T145002Z
UID:10007114-1648809000-1648813500@seasevents.nmsdev7.com
SUMMARY:GRASP on Robotics: Kevin Lynch\, Northwestern University\, “Robot manipulation research in the Center for Robotics and Biosystems”
DESCRIPTION:*This seminar will be held in-person in Wu and Chen Auditorium as well as virtually via Zoom. \nResearch at the Center for Robotics and Biosystems at Northwestern University encompasses bio-inspiration\, neuromechanics\, human-machine systems\, and swarm robotics\, among other topics.  In this talk I will give an overview of some of our recent work\, with a particular focus on autonomous in-hand manipulation and human-robot collaborative manipulation with teams of mobile cobots.
URL:https://seasevents.nmsdev7.com/event/grasp-on-robotics-kevin-lynch-northwestern-university-robot-manipulation-research-in-the-center-for-robotics-and-biosystems/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
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:20220401T140000
DTEND;TZID=America/New_York:20220401T150000
DTSTAMP:20260406T071454
CREATED:20220118T193728Z
LAST-MODIFIED:20220118T193728Z
UID:10007022-1648821600-1648825200@seasevents.nmsdev7.com
SUMMARY:PICS Colloquium: "Preserving microscale features in continuum models of fiber network materials"
DESCRIPTION:Fiber networks at different length scales represent a prevalent microstructure of highly deformable materials and biological matter. At the microscale\, these fiber networks are key for the function of biological systems\, while at the macroscale they endow materials with striking characteristics\, such as unusual kinematic behavior and high defect tolerance. Resolving the microstructure in discrete network models has helped understanding the mechanisms responsible for these outstanding characteristics\, and computational homogenization can be used to simulate the macroscopic response. Notwithstanding\, nonlinear continuum mechanics\, by definition only applicable at the larger length scales\, has likewise proved suitable to capture many of these special features in dedicated approaches. \nAfter discussing some recent examples of special characteristics and their implications in network materials\, this seminar will focus on analytical methods to model the transition from the single fiber to the homogenized network scale in continuum mechanical models. The commonly used micro-macro approaches used to this end are based on establishing relations between the macroscopic deformation field and the deformation of vectorial line elements\, which represent referential fiber directions and are defined on the unit sphere. For non-affine networks\, this concept reaches its limit\, and an alternative concept will be presented instead. The latter is based on a new type of constitutive relation between the distribution of fiber stretch and the macroscopic deformation gradient. This new approach\, albeit not free of challenges\, opens up new routes for constitutive modelling of network materials\, able to capture both the macroscale behavior and features of their distinct microscopic kinematics. Finally\, the approach allows reformulating the classical concepts\, and thus not only provides alternative strategies for their numerical implementation but also new perspectives that reveal inherent and potentially limiting assumptions behind these theories.
URL:https://seasevents.nmsdev7.com/event/pics-colloquium-preserving-microscale-features-in-continuum-models-of-fiber-network-materials/
LOCATION:Zoom – email kathom@seas.upenn.edu
CATEGORIES:Colloquium
ORGANIZER;CN="Penn Institute for Computational Science (PICS)":MAILTO:dkparks@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220404T090000
DTEND;TZID=America/New_York:20220404T100000
DTSTAMP:20260406T071454
CREATED:20220401T172323Z
LAST-MODIFIED:20220401T172323Z
UID:10007147-1649062800-1649066400@seasevents.nmsdev7.com
SUMMARY:GRASP Seminar: Robert J. Wood\, Harvard University\, “Soft robotics for delicate and dexterous manipulation”
DESCRIPTION:This seminar will be held virtually via Zoom. \nRobotic grasping and manipulation has historically been dominated by rigid grippers\, force/form closure constraints\, and extensive grasp trajectory planning. The advent of soft robotics offers new avenues to diverge from this paradigm by using strategic compliance to passively conform to grasped objects in the absence of active control\, and with minimal chance of damage to the object or surrounding environment. However\, while the reduced emphasis on sensing\, planning\, and control complexity simplifies grasping and manipulation tasks\, precision and dexterity are often lost. This talk will discuss efforts to increase the robustness of soft grasping and the dexterity of soft robotic manipulators\, with particular emphasis on grasping and in-hand manipulation tasks that are challenging for more traditional robot hands. This includes compliant objects\, thin flexible sheets\, and delicate organisms. Examples will be drawn from manipulation of everyday objects and field studies of deep sea sampling using soft end effectors.
URL:https://seasevents.nmsdev7.com/event/grasp-seminar-robert-j-wood-harvard-university-soft-robotics-for-delicate-and-dexterous-manipulation/
LOCATION:https://upenn.zoom.us/j/96715197752
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:20220404T120000
DTEND;TZID=America/New_York:20220404T130000
DTSTAMP:20260406T071454
CREATED:20220131T131617Z
LAST-MODIFIED:20220131T131617Z
UID:10007048-1649073600-1649077200@seasevents.nmsdev7.com
SUMMARY:PSOC@Penn: “A Biomechanical Approach that Differentially Regulates Thrombosis and Hemostasis from the Atomic Level" (Yunfeng Chen\, PhD)
DESCRIPTION:Physical Sciences in Oncology Center PSOC@Penn \nSpring 2022 Hybrid-Seminar Series \nTowne 225 / Raisler Lounge @ Noon (EST) \nFor Zoom link \, please contact manu@seas.upenn.edu
URL:https://seasevents.nmsdev7.com/event/psocpenn-a-biomechanical-approach-that-differentially-regulates-thrombosis-and-hemostasis-from-the-atomic-level-yunfeng-chen-phd/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="PSOC":MAILTO:manu@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220405T100000
DTEND;TZID=America/New_York:20220405T113000
DTSTAMP:20260406T071454
CREATED:20220303T175603Z
LAST-MODIFIED:20220303T175603Z
UID:10007111-1649152800-1649158200@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "From Mollusk Shells to Dense Architectured Materials to Granular Crystals: How Building Blocks and Weak Interfaces Create High Mechanical Performance"
DESCRIPTION:Regular building blocks of controlled shape and size can be assembled to create fully dense “architectured” materials and structures. When the building blocks are very stiff and when they interact through much softer materials or even only by frictional contact\, the blocks can slide\, rotate\, separate or interlock collectively\, providing a wealth of tunable mechanisms\, precise structural properties and functionalities. In this talk I will illustrate this design strategy with three examples: First\, I will show how the brick-and-mortar architecture of nacre from mollusk shell exploits near-perfect structural periodicity and geometric hardening to promote large deformations and toughness\, which are key features we recently translated into tough\, impact resistant bioinspired glasses. In the next example geometric hardening is pushed to the extreme to create geometrical interlocking. Tetrahedral or octahedral blocks are assembled into “topologically interlocked” panels\, which can turn brittle ceramics into ductile\, tough and damage tolerant 2D panels purely from the interplay of block geometry\, interlocking and frictional sliding. Finally\, my third example will show how this design principle can be extended to three-dimensional granular crystals. Here we assembled millimeter-scale 3D printed grains of specific geometries into fully dense crystals\, which we found are 10 times stronger than traditional granular materials. These granular crystals display a rich set of mechanisms: Nonlinear deformations\, crystal plasticity reminiscent of atomistic mechanisms\, shear-induced dilatancy\, micro-buckling. Once fully understood and harnessed\, we envision that these mechanisms will lead to engineering materials with unusual and attractive combinations of mechanical performances.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-from-mollusk-shells-to-dense-architectured-materials-to-granular-crystals-how-building-blocks-and-weak-interfaces-create-high-mechanical-performance/
LOCATION:Zoom – Email MEAM for Link\, peterlit@seas.upenn.edu
CATEGORIES:Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220405T110000
DTEND;TZID=America/New_York:20220405T120000
DTSTAMP:20260406T071454
CREATED:20220328T145904Z
LAST-MODIFIED:20220328T145904Z
UID:10007133-1649156400-1649160000@seasevents.nmsdev7.com
SUMMARY:ESE Spring Seminar - "Emergent Active Photonic Platforms for Next-Generation Mid-Infrared and Ultrafast Photonics"
DESCRIPTION:As two basic properties of light\, wavelength and timescale are central to numerous photonic applications. Compared to visible and near-infrared\, the longer wavelength mid-infrared spectral regime contains unique thermal visual information and chemical fingerprints of the environment.  On a different front\, femtosecond light sources and systems can enable ultrafast information processing\, sensing\, and computing. Yet\, current chip-scale photonic devices and systems are facing tremendous challenges in detecting\, generating\, and processing light of long wavelength and ultrashort timescale. Overcoming these challenges requires new materials and clever device architectures\, and these technologies stand poised to revolutionize fields such as biomedical sensing\, free-space communication\, and photonic computing in both classical and quantum domains. \nIn this talk\, I will show that by engineering the carrier and nonlinear dynamics in emergent active photonic materials\, we can detect photons beyond the regimes accessible to conventional laser sources and detectors\, and process information in an ultrafast manner. In the first half of my talk\, I will first briefly introduce the discovery of black phosphorus (BP) mid-infrared photonics\, highlighting the world’s first BP mid-infrared detectors with high internal gain\, as well as BP’s electrically tunable spectral response due to its unique bandgap tunability. Then\, I will discuss a new strategy for detecting longer wavelength mid-infrared radiations at 12 µm. This is achieved by harnessing the intrinsic mid-infrared plasmons in large-scale graphene. \nThe second half of my talk will cover my recent work on integrated lithium niobate (LN) ultrafast photonics in both classical and quantum domains. I will discuss the realization of ultra-strong nonlinear optical interactions and dynamics in dispersion-engineered and quasi-phase-matched integrated LN devices\, which have enabled 100 dB/cm optical parametric amplification\, ultra-wide bandwidth quantum squeezing\, as well as femtosecond and femtojoule all-optical switching. Finally\, I will outline promising pathways toward realizing chip-scale ultrafast light sources and microsystems for on-chip spectroscopic sensing\, mid-infrared free-space communication\, coherent all-optical computing\, and next-generation thermal vision technologies.
URL:https://seasevents.nmsdev7.com/event/ese-spring-seminar-emergent-active-photonic-platforms-for-next-generation-mid-infrared-and-ultrafast-photonics/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar,Colloquium
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220406T130000
DTEND;TZID=America/New_York:20220406T140000
DTSTAMP:20260406T071454
CREATED:20220329T211913Z
LAST-MODIFIED:20220329T211913Z
UID:10007138-1649250000-1649253600@seasevents.nmsdev7.com
SUMMARY:MEAM Ph.D. Thesis Defense: "Deep Learning and Uncertainty Quantification: Methodologies and Applications"
DESCRIPTION:Uncertainty quantification is a recent emerging interdisciplinary area that leverages the power of statistical methods\, machine learning models\, numerical methods and data-driven approach to provide reliable inference for quantities of interest in natural science and engineering problems. In practice\, the sources of uncertainty come from different aspects such as: aleatoric uncertainty where the uncertainty comes from the observations or is due to the stochastic nature of the problem; epistemic uncertainty where the uncertainty comes from inaccurate mathematical models\, computational methods or model parametrization. Cope with the above different types of uncertainty\, a successful and scalable model for uncertainty quantification requires prior knowledge in the problem\, careful design of mathematical models\, cautious selection of computational tools\, etc. The fast growth in deep learning\, probabilistic methods and the large volume of data available across different research areas enable researchers to take advantage of these recent advances to propose novel methodologies to solve scientific problems where uncertainty quantification plays important roles. The objective of this dissertation is to address the existing gaps and propose new methodologies for uncertainty quantification with deep learning methods and demonstrate their power in engineering applications. \nOn the methodology side\, we first present a generative adversarial framework to model aleatoric uncertainty in stochastic systems. Secondly\, we leverage the proposed generative model with recent advances in physics-informed deep learning to learn the uncertainty propagation in solutions of partial differential equations. Thirdly\, we introduce a simple and effective approach for posterior uncertainty quantification for learning nonlinear operators. Fourthly\, we consider inverse problems of physical systems on identifying unknown forms and parameters in dynamical systems via observed noisy data. \nOn the application side\, we first propose an importance sampling approach for sequential decision making. Second\, we propose a physics-informed neural network method to quantify the epistemic uncertainty in cardiac activation mapping modeling and conduct active learning. Third\, we present an anto-encoder based framework for data augmentation and generation for data that is expensive to obtain such as single-cell RNA sequencing.
URL:https://seasevents.nmsdev7.com/event/meam-ph-d-thesis-defense-deep-learning-and-uncertainty-quantification-methodologies-and-applications/
LOCATION:Zoom – Email MEAM for Link\, peterlit@seas.upenn.edu
CATEGORIES: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:20220406T150000
DTEND;TZID=America/New_York:20220406T160000
DTSTAMP:20260406T071454
CREATED:20220401T170128Z
LAST-MODIFIED:20220401T170128Z
UID:10007146-1649257200-1649260800@seasevents.nmsdev7.com
SUMMARY:Spring 2022 GRASP SFI: Jason Ma\, University of Pennsylvania\, “Beyond Expected Reward in Offline Reinforcement Learning”
DESCRIPTION:*This will be a HYBRID Event with in-person attendance in Levine 512 and Virtual attendance via Zoom \nOffline reinforcement learning (RL)\, which uses pre-collected\, reusable offline data without further environment interactions\, permits sample-efficient\, scalable and practical decision-making; however\, most of the existing literature (1) focuses on improving algorithms for maximizing the expected cumulative reward\, and (2) assumes the reward function to be given. This limits the applicability of offline RL in many realistic settings — for instance\, there are often safety or risk constraints that need to be satisfied\, and the reward function is often difficult to specify. In this talk\, we will explore how we can (1) train a broad class of risk-sensitive agents using purely risk-neutral offline data and provably prevent out-of-distribution extrapolations\, and (2) bootstrap offline RL through flexible forms of expert demonstrations\, significantly expanding the scope of valid supervision for offline policy learning. With these advances\, we aim to bring offline RL closer to real-world applications.
URL:https://seasevents.nmsdev7.com/event/spring-2022-grasp-sfi-jason-ma-university-of-pennsylvania-beyond-expected-reward-in-offline-reinforcement-learning/
LOCATION:Levine 512
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:20220406T153000
DTEND;TZID=America/New_York:20220406T163000
DTSTAMP:20260406T071454
CREATED:20220115T004024Z
LAST-MODIFIED:20220115T004024Z
UID:10007018-1649259000-1649262600@seasevents.nmsdev7.com
SUMMARY:CBE Seminar: "Processive-Cleavage and Functionalization-Cleavage for Deconstruction of Polyolefins”
DESCRIPTION:Abstract \nThe massive quantities of single-use plastics discarded each year requires new sustainable end-of-life solutions. Current technologies\, such as melt-processing for recycling or incineration for partial energy recovery\, are insufficient to deal with the crisis in its entirety. New methods involving chemical upcycling\, by catalytic conversion of the used materials into higher value products\, could provide molecules that make use of components of the existing catenated carbon starting materials. In addition\, few existing catalytic methods can break carbon-carbon bonds in aliphatic hydrocarbons lacking directing groups and introduce new heteroatom functionality. In collaborative work\, we have constructed and studied the first example of a hydrogenolysis catalyst that makes use of its 3D architecture to transform polyolefins into narrow distributions of shorter linear hydrocarbon chains. A second approach considers approaches to break carbon-carbon bonds in polyolefins and concurrently introduce reactive sites that could enable the use of products as chemical synthons. Early transition metal complexes are capable of breaking carbon-carbon bonds via β-alkyl elimination to form shorter carbon chains in oligomerylmetal species. Transmetalation to a main group element could afford reactive species to access fatty alcohols and fatty acids by oxidation or carboxylation\, for example. We have developed examples of such transformations\, based on organozirconium single-site catalysts and hydride-generating organoaluminum reagents.
URL:https://seasevents.nmsdev7.com/event/cbe-seminar-processive-cleavage-and-functionalization-cleavage-for-deconstruction-of-polyolefins/
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:20220407T103000
DTEND;TZID=America/New_York:20220407T113000
DTSTAMP:20260406T071454
CREATED:20220314T173006Z
LAST-MODIFIED:20220314T173006Z
UID:10007119-1649327400-1649331000@seasevents.nmsdev7.com
SUMMARY:MSE Seminar: "Hierarchically Ordered Block Copolymer Materials via Nonequilibrium Processing"
DESCRIPTION:The diversity and vastness in the types of properties of living systems\, including enhanced mechanical properties of skin and bone\, or responsive optical properties derived from structural coloration\, are a result of the multiscale\, hierarchical structure of the materials. The field of materials chemistry has leveraged equilibrium concepts to create complex materials seen in nature\, yet achieving the remarkable properties present in living systems requires moving beyond this formalism by utilizing nonequilibrium processes to create new and exciting materials. Here\, the presentation will describe a new method to create hierarchically ordered\, physically crosslinked hydrogels\, and recent developments in further processing the hydrogel materials to create linear and rotary actuators. Specifically\, we have explored a modified nonsolvent-induced phase separation method termed rapid injection processing to produce hierarchically ordered hydrogels with structures and mechanical properties resembling those of living biomaterials. The hydrogel fabrication process entails injecting a triblock copolymer\, such as poly(styrene)-poly(ethylene oxide)-poly(styrene) (SOS)\, solution into a coagulating liquid (i.e.\, water)\, driving the hydrophobic polymer domains to organize at the nano and microscale and forming bulk hydrogels. We have established a universal and quantitative method for fabricating and controlling physically crosslinked hydrogels exhibiting hierarchical ordering by controlling the initial pre-injection triblock copolymer solution concentration and water-miscible organic solvent. Additionally\, water-swollen hydrogel materials are easily processed to create high-performance linear and rotary actuators via strain-programmed hydrogel crystallization. The crystallized fibers display enhanced mechanical properties due to the aligned alternating amorphous and crystalline domains\, and actuation is triggered using either water or heat. The work presented here highlights that by harnessing nonequilibrium methods\, it is possible to create materials with tunable physical properties via controlling the structure from the nanometer to the micrometer.
URL:https://seasevents.nmsdev7.com/event/mse-seminar-hierarchically-ordered-block-copolymer-materials-via-nonequilibrium-processing/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220407T110000
DTEND;TZID=America/New_York:20220407T120000
DTSTAMP:20260406T071454
CREATED:20220329T164642Z
LAST-MODIFIED:20220329T164642Z
UID:10007136-1649329200-1649332800@seasevents.nmsdev7.com
SUMMARY:ESE Spring Seminar - "Minimally Invasive and Chronically Stable Brain-Machine Interface"
DESCRIPTION:Stable chronic mapping of brain activities at the action potential level with high temporal resolution is essential for both fundamental neuroscience research and biomedical applications\, including cognitive studies\, memory encoding and retrieval\, and neural prostheses. Conventional neural probes can provide high spatiotemporal-resolution brain signal recordings independent of probing depth\, although they generally trigger foreign body response and tissue damage in the brain. As a result\, they are usually unable to stably interface with the brain in a chronic manner\, which substantially hinders their applications in brain-machine interface and neuroscience researches. In this seminar\, I will present a new paradigm\, mesh-like electronics\, for minimally invasive and chronically stable brain-machine interface. The mesh-like electronics can seamlessly interface with mammal brains with significantly reduced foreign body response and can stably record brain signals with high spatiotemporal resolution for more than 8 months. I will then present the application of mesh-like electronics for chronic recording and modulations of spinal cord sensory and motor neurons in awake mice. In the end\, I will present an alternative approach to designing minimally invasive neural electronics with hydrogel-based materials and the rapid fabrication of designed neural electronics with additive manufacturing. Both the mesh-like electronics and hydrogel electronics opened up new windows to stably communicating with the nervous system with minimum perturbation and foreign body responses.
URL:https://seasevents.nmsdev7.com/event/ese-spring-seminar-minimally-invasive-and-chronically-stable-brain-machine-interface/
LOCATION:Zoom – Meeting ID 992 3585 3697
CATEGORIES:Seminar,Colloquium
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220407T153000
DTEND;TZID=America/New_York:20220407T163000
DTSTAMP:20260406T071454
CREATED:20211210T164738Z
LAST-MODIFIED:20211210T164738Z
UID:10006995-1649345400-1649349000@seasevents.nmsdev7.com
SUMMARY:BE Seminar: "Analysis of High-content Genomic Screening Data with Large-scale Optical Pooled Screens" (Paul Blainey\, MIT)
DESCRIPTION:This seminar will be held in person in Towne 337 and on zoom (check email for link or contact ksas@seas.upenn.edu). \nGenetic screens are critical for the systematic identification of genes underlying cellular phenotypes. While pooling gene perturbations greatly increases screening throughput\, this approach was not yet compatible with the high-content imaging of complex and dynamic cellular phenotypes. Our group recently developed optical pooled screening using in situ sequencing-by-synthesis to link pooled perturbations with their associated visual phenotypic outcomes at the single-cell level in mammalian cells. We have since established this approach for very large-scale screens where hundreds of phenotypic parameters are recorded for each cell.  I will provide an overview of the applicability of this kind of approach and discuss in more detail two large-scale\, high-content collaborative screening projects\, one related to intracellular responses to viral infection\, and another focused on human cell division phenotypes.
URL:https://seasevents.nmsdev7.com/event/be-seminar-paul-blainey/
LOCATION:Room 337\, Towne Building\, 220 South 33rd 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:20220407T153000
DTEND;TZID=America/New_York:20220407T163000
DTSTAMP:20260406T071454
CREATED:20220329T212252Z
LAST-MODIFIED:20220329T212252Z
UID:10007139-1649345400-1649349000@seasevents.nmsdev7.com
SUMMARY:MEAM Ph.D. Thesis Defense: "User-friendly\, Low-cost\, Microfluidic Devices with Capillary Circuits for Multiplexed\, Isothermal\, Point-of-care Nucleic Acid Amplification Tests"
DESCRIPTION:Rapid\, sensitive\, and specific detection of causative pathogens is key to personalized medicine and the prompt implementation of appropriate mitigation measures to reduce disease transmission\, mortality\, morbidity\, and cost. Conventional molecular detection methods require trained personnel\, sophisticated equipment\, and specialized laboratories\, which limits their use to centralized laboratories. To enable molecular diagnostics at the point of need and in resource-poor settings\, inexpensive\, simple devices that combine multiple unit operations and are capable of co-detecting endemic pathogens are needed. \nIn this dissertation\, I have developed microfluidic devices with capillary circuits to automate liquid distribution\, eliminating the need for expensive equipment\, sophisticated laboratory facilities\, and skilled personnel to enable molecular diagnostics at the point of need. Capillary valves with different sizes were developed and implemented to aliquot samples and reagents to multiple reaction chambers and to enable draining liquids from supply lines without affecting liquids in the various reaction chambers\, enabling bubble-free operation. The sealing of my microfluidic devices to prevent evaporation during incubation is facilitated with phase-change materials and capillary-induced motion. When my microfluidic chip is heated to its incubation temperature\, the phase change material melts and flows to seal ports of entry and air vent. Numerical simulations were carried out to assess the viability of on-chip\, in-house developed\, two-stage isothermal nucleic acid amplification in the presence of diffusion and advection. An Android-based smartphone application was developed to automate real-time signal monitoring\, time series image analysis\, and diagnostic result interpretation. Three different 3D-printed\, portable\, microfluidic devices with capillary circuits were designed\, fabricated\, and tested for single-stage and two-stage\, isothermal nucleic acid amplification with either liquid reagents or ii pre-stored dry reagents that do not require a cold chain. All devices have proved successful for rapid\, sensitive\, and specific multiplexed detections of human and animal pathogens.
URL:https://seasevents.nmsdev7.com/event/meam-ph-d-thesis-defense-user-friendly-low-cost-microfluidic-devices-with-capillary-circuits-for-multiplexed-isothermal-point-of-care-nucleic-acid-amplification-tests/
LOCATION:Zoom – Email MEAM for Link\, peterlit@seas.upenn.edu
CATEGORIES: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:20220408T103000
DTEND;TZID=America/New_York:20220408T114500
DTSTAMP:20260406T071454
CREATED:20220113T180556Z
LAST-MODIFIED:20220113T180556Z
UID:10007012-1649413800-1649418300@seasevents.nmsdev7.com
SUMMARY:GRASP on Robotics: Jing Xiao\, Worcester Polytechnic Institute\, “Perception-Action Synergy in Uncertain Environments”
DESCRIPTION:Many robotic applications require a robot to operate in an environment with unknowns or uncertainty\, at least initially\, before it gathers enough information about the environment. In such a case\, a robot must rely on sensing and perception to feel its way around. Moreover\, it has to couple sensing/perception and motion synergistically in real time\, such that perception guides motion\, while motion enables better perception. In this talk\, I will introduce our research in combining perception and motion of a robot to achieve autonomous contact-rich assembly\, object recognition\, object modeling\, and constrained manipulation in uncertain or unknown environments\, under force/torque\, RGBD\, or touch sensing. I will also introduce our recent work on integrated semantic SLAM and accurate loop closure detection\, SmSLAM+LCD.
URL:https://seasevents.nmsdev7.com/event/grasp-on-robotics-perception-action-synergy-in-uncertain-environments/
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:20220408T110000
DTEND;TZID=America/New_York:20220408T120000
DTSTAMP:20260406T071454
CREATED:20220404T123530Z
LAST-MODIFIED:20220404T123530Z
UID:10007148-1649415600-1649419200@seasevents.nmsdev7.com
SUMMARY:ESE Spring Seminar - "End-to-end Learning for Robust Decision Making"
DESCRIPTION:Because the physical world is complex\, ambiguous\, and unpredictable\, autonomous agents must be engineered to exhibit a human-level degree of flexibility and generality — far beyond what we are capable of explicitly programming. Achieving such rich and intricate decision making requires rethinking the foundations of intelligence across all stages of the autonomous learning lifecycle. \nIn this talk\, I will share new learning-based approaches towards dynamic\, resilient\, and robust decision making of autonomous systems. Such solutions are capable of not only reliably solving a particular problem\, but also anticipating what could go wrong in order to strategize\, adapt\, and continuously learn. We advance robust decision making by (1) computationally designing rich synthetic environments of hard to collect\, out-of-distribution edge-cases; (2) creating efficient\, expressive\, and interpretable learning models; and (3) developing adaptive\, robust\, and grounded learning algorithms\, and exploiting their interdependence to realize generalizable decision making.
URL:https://seasevents.nmsdev7.com/event/ese-spring-seminar-end-to-end-learning-for-robust-decision-making/
LOCATION:Heilmeier Hall (Room 100)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar,Colloquium
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
END:VCALENDAR