BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Penn Engineering Events - ECPv6.15.18//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Penn Engineering Events
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:20230312T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20231105T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20240310T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20241103T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20250309T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20251102T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240402T100000
DTEND;TZID=America/New_York:20240402T113000
DTSTAMP:20260403T153908
CREATED:20240322T175702Z
LAST-MODIFIED:20240322T175702Z
UID:10007910-1712052000-1712057400@seasevents.nmsdev7.com
SUMMARY:Tedori-Callinan Distinguished Lecture: "Origami"
DESCRIPTION:We study the geometric mechanics of origami assemblages and investigate how geometry affects behavior and properties. Understanding origami from a structural standpoint allows for conceptualizing and designing feasible applications across scales and disciplines of engineering. We review the basic mathematical rules of origami and use 3D-printed origami legos to illustrate those concepts. We then present a reduced-order-model\, which consists of an improved bar-and-hinge model\, to simulate origami assemblages. We explore the stiffness of tubular origami and kirigami structures based on the Miura-ori folding pattern. A unique orientation for zipper coupling of rigidly foldable origami tubes substantially increases stiffness in higher order modes and permits only one flexible motion through which the structure can deploy. We couple compatible origami tubes into a variety of cellular assemblages that enhances mechanical characteristics and geometric versatility\, leading to the design of structures and configurational metamaterials that can be deployed\, stiffened\, and tuned. We have designed\, fabricated (using DLW\, direct laser writing)\, and tested (in-situ SEM) this metamaterial at the micron-scale. This resulted not only in the smallest scale origami assembly\, but also in a metamaterial with intriguing mechanical properties\, such as anisotropy\, reversible auxeticity\, and large degree of shape recoverability. The presentation concludes with a vision toward the field of origami engineering\, including origami robots with distributed actuation\, allowing for on-the-fly programmability\, and other interdisciplinary applications.
URL:https://seasevents.nmsdev7.com/event/tedori-callinan-distinguished-lecture-origami/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Distinguished Lecture
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240402T110000
DTEND;TZID=America/New_York:20240402T120000
DTSTAMP:20260403T153908
CREATED:20240223T172250Z
LAST-MODIFIED:20240223T172250Z
UID:10007871-1712055600-1712059200@seasevents.nmsdev7.com
SUMMARY:ESE Spring Seminar - "Developing next-generation wireless\, bioelectronic cellular medicine"
DESCRIPTION:Recent advances in engineering science have led to new classes of medical devices with emergent mechanical\, electrical\, and thermal properties that offer new opportunities for interfacing with living cells. I will discuss conceptual advances in microfabrication\, device physics\, power transfer and microscale transport phenomena that enable novel biosensors and cell delivery systems\, with an emphasis on two recent examples from my work: (i) Soft\, skin-interfacing wearable flow sensors for novel neurosurgical diagnostics; (ii) Battery-free bioelectronic systems for “living drug factories” that combine inorganic device elements with living cells for long-term\, functional cures for a range of diseases with an emphasis on oxygenation strategies and immune-isolation. I will illustrate the utility of the latter platform with examples of specific cell and disease models. Finally\, I will present a vision for how these types of technologies could lead to both fundamental scientific discoveries and next generation bioelectronic cell therapy platforms for the treatment and sensing of chronic disease.
URL:https://seasevents.nmsdev7.com/event/ese-spring-seminar-developing-next-generation-wireless-bioelectronic-cellular-medicine/
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:20240402T153000
DTEND;TZID=America/New_York:20240402T163000
DTSTAMP:20260403T153908
CREATED:20240220T194100Z
LAST-MODIFIED:20240220T194100Z
UID:10007869-1712071800-1712075400@seasevents.nmsdev7.com
SUMMARY:CIS/IDEAS Seminar: "Flow matching and optimal transport with applications to cell trajectories and protein design"
DESCRIPTION:ABSTRACT: \nFlow matching models learn a (possibly stochastic) mapping between source and target distributions. Common paradigms include diffusion models\, score matching models\, and continuous normalizing flows. In this talk I will first present methods for improved training of flow matching models using ideas from optimal transport. I will then show how these improved methods can be applied to the tasks of (1) modeling  cell dynamics\, which allow us to better understand disease programs – leading to a new potential therapeutic pathway for triple-negative breast cancer and (2) generative protein design\, with applications to biologic drug discovery. \n  \nZOOM LINK: https://upenn.zoom.us/j/94916924500
URL:https://seasevents.nmsdev7.com/event/cis-ideas-seminar-alexander-tong-mila-quebec-ai-institute-universite-de-montreal/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240403T120000
DTEND;TZID=America/New_York:20240403T133000
DTSTAMP:20260403T153908
CREATED:20240220T194210Z
LAST-MODIFIED:20240220T194210Z
UID:10007870-1712145600-1712151000@seasevents.nmsdev7.com
SUMMARY:ASSET Seminar: "Building a Foundation for Trustworthy Machine Learning" (Elan Rosenfeld\, Carnegie Mellon University)
DESCRIPTION:ABSTRACT: \n\n\nArtificial Intelligence is being increasingly relied on in safety-critical domains. But the predictive models underlying these systems are notoriously brittle\, and trustworthy deployment remains a significant challenge. In this talk\, I give an overview of my work towards a rigorous foundation for robust machine learning (ML).\n\n\nUsing a case study of invariant prediction\, we first highlight the importance of formally specifying the space of adverse events we’d like to handle at deployment time. This provides a mathematical framework for analyzing\, comparing\, and improving the robustness of ML algorithms. Then\, we explore how careful experimental probing of these methods’ failures leads to a deeper understanding of the underlying causes\, and how these insights can inform the design of new methods with more reliable real-world behavior. We conclude with a brief summary of other past and ongoing works towards provably secure ML\, including a scalable framework which enables certified robustness to adversarial train- and test-time attacks. \n\nZOOM LINK (if unable to attend in-person): https://upenn.zoom.us/j/95678270617
URL:https://seasevents.nmsdev7.com/event/asset-seminar-elan-rosenfeld-carnegie-mellon-university/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240403T150000
DTEND;TZID=America/New_York:20240403T160000
DTSTAMP:20260403T153908
CREATED:20240308T161940Z
LAST-MODIFIED:20240308T161940Z
UID:10007893-1712156400-1712160000@seasevents.nmsdev7.com
SUMMARY:Spring 2024 GRASP SFI: Madhur Behl\, University of Virginia\, "Bringing AI Up To Speed"
DESCRIPTION:This will be a hybrid event with in-person attendance in Levine 307 and virtual attendance on Zoom. \nABSTRACT\nWhy has autonomous driving\, a task demanding significant intelligence\, not met the high expectations set by many? Which hurdles have turned out to be more formidable than expected\, and how can we refine our testing methodologies for autonomous vehicles (AVs) to address these problems more efficiently? In this talk\, I will discuss the targeted research initiatives we have engaged in to overcome these challenges. Leveraging more than a decade of experience from high-speed autonomous racing\, particularly with the full-scale Cavalier Autonomous Racing Indy car and the F1Tenth platform\, I will demonstrate how racing at speeds exceeding 150 mph (240 kmph) while in close quarters with other vehicles presents unique robotics challenges and offers deep insights into the limits of perception\, multi-agent prediction and planning\, dynamics modeling\, and control. I will recount our journey from algorithms to accelerations\, the rigorous engineering required to develop an autonomous racing car from scratch\, and how this fast moving field is becoming accessible to researchers and professionals alike. Despite progress\, autonomous racing has yet to match expert racing drivers’ skills or navigate the chaos of dense\, multi-car racing in the real world; indicating that several more laps are needed on our journey towards artificial general “driving” intelligence.
URL:https://seasevents.nmsdev7.com/event/spring-2024-grasp-sfi-madhur-behl/
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:20240403T153000
DTEND;TZID=America/New_York:20240403T163000
DTSTAMP:20260403T153908
CREATED:20240116T181810Z
LAST-MODIFIED:20240116T181810Z
UID:10007810-1712158200-1712161800@seasevents.nmsdev7.com
SUMMARY:CBE Seminar: "Dynamics and Reactivity of Supported Catalysts in the Subnanometer Regime" (Ayman Karim\, Virginia Tech)
DESCRIPTION:Abstract\nSupported noble metal catalysts are extensively used in industry and their catalytic performance is strongly affected by particle size and shape. In the last decade\, supported single atoms and subnanometer clusters have attracted a lot of interest since they maximize the metal utilization and have shown extraordinary catalytic properties for many reactions. In this talk\, I will present my group’s work using detailed kinetics\, in-situ and in-operando infrared and x-ray absorption spectroscopies to understand the dynamics\, both structural and ligand\, of supported metal single atoms and small clusters which result in complex reaction mechanisms. The differences between supported single atoms\, small clusters and extended metal surfaces as well as their potential advantages and limitations will be discussed.
URL:https://seasevents.nmsdev7.com/event/cbe-seminar-dynamics-and-reactivity-of-supported-catalysts-in-the-subnanometer-regime-ayman-karim-virginia-tech/
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:20240403T153000
DTEND;TZID=America/New_York:20240403T170000
DTSTAMP:20260403T153908
CREATED:20240329T174454Z
LAST-MODIFIED:20240329T174454Z
UID:10007922-1712158200-1712163600@seasevents.nmsdev7.com
SUMMARY:Condensed and Living Matter Seminar Series - "Optical Neural Networks for Faster AI and Superresolution Imaging"
DESCRIPTION:Although machine intelligence is taking over the world\, its current digital electronic platform is very inefficient in terms of energy consumption. Switching to analogue computation\, which function more like human brains than digital computers\, will allow enhancing the energy efficiency by several orders of magnitude. Optics presents a particularly promising platform for analogue AI; however\, significant challenges – particularly in the domain of neural network training – must be overcome before it can compete with its digital counterpart. A likely upcoming range of applications of optical neuron networks is in computer vision\, as they will allow eliminating the bottleneck associated with back-and forth conversion of data between optical and electronic formats. A further benefit of optical processing is enhancing the quality of imaging. For example\, it allows reaching the quantum frontier of imaging resolution beyond Rayleigh’s diffractive limit which applies to most of the modern classical imaging technology.
URL:https://seasevents.nmsdev7.com/event/condensed-and-living-matter-ese-seminar-optical-neural-networks-for-faster-ai-and-superresolution-imaging/
LOCATION:DRL A8\, 209 S. 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:20240404T103000
DTEND;TZID=America/New_York:20240404T120000
DTSTAMP:20260403T153908
CREATED:20240216T140134Z
LAST-MODIFIED:20240216T140134Z
UID:10007862-1712226600-1712232000@seasevents.nmsdev7.com
SUMMARY:MSE Seminar: "The Surface Dynamics of the Initial Stages of CU Oxidation"
DESCRIPTION:Much is known about oxygen interaction with metal surfaces and about the macroscopic growth of thermodynamically stable oxides. At present\, however\, the transient stages of oxidation – from nucleation of the metal oxide to formation of the thermodynamically stable oxide – represent a scientifically challenging and technologically important terra incognito. These issues can only be understood through a detailed study of the relevant microscopic processes at the nanoscale in situ. We have previously demonstrated via in situ transmission electron microscopy (TEM) that the formation of epitaxial Cu2O islands during the transient oxidation of Cu(100)\, (110)\, and (111) films bear a striking resemblance to heteroepitaxy\, where the initial stages of growth are dominated by oxygen surface diffusion and strain impacts the evolution of the oxide morphologies. To deepen our understanding of the atomic-scale dynamic processes of Cu2O island formation on Cu during oxidation in situ\, we are presently using correlated in situ environmental high-resolution TEM (ETEM) and atomistic simulations. As an example of this approach\, preferential monolayer-by-monolayer growth along Cu2O (110) planes\, instead of along Cu2O (100) planes\, was noted. Correlated Density Functional Theory (DFT) simulations on the surface and diffusion energies during Cu2O growth on various Cu2O surface orientations and terminations were carried out. Our DFT results show that the monolayer formation of Cu2O along Cu2O(110) was both thermodynamically and kinetically preferred over that of Cu2O(100) during Cu2O growth\, which explains the observed phenomenon.
URL:https://seasevents.nmsdev7.com/event/mse-seminar-the-surface-dynamics-of-the-initial-stages-of-cu-oxidation/
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:20240404T110000
DTEND;TZID=America/New_York:20240404T120000
DTSTAMP:20260403T153908
CREATED:20240214T212552Z
LAST-MODIFIED:20240214T212552Z
UID:10007861-1712228400-1712232000@seasevents.nmsdev7.com
SUMMARY:ESE Spring Seminar - "Neural Mechatronics and Mixed Reality for Patient Care"
DESCRIPTION:The rich set of mechanoreceptors found in human skin offers a versatile engineering interface for transmitting information and eliciting perceptions\, potentially serving a broad range of applications in patient care and other important industries. Targeted multisensory engagement of these afferent units\, however\, faces persistent challenges\, especially for wearable\, programmable systems that need to operate adaptively across the body. I present a miniaturized electromechanical structure that\, when combined with skin as an elastic\, energy storing element\, supports bistable\, self-sensing modes of deformation. Targeting specific classes of mechanoreceptors as the basis for distinct\, programmed sensory responses\, this haptic unit can deliver both dynamic and static stimuli\, directed as either normal or shear forces. Systematic experimental and theoretical studies establish foundational principles and practical criteria for low-energy operation across natural anatomical variations in the mechanical properties of human skin. A wireless\, skin-conformable haptic interface\, integrating an array of these bistable transducers\, serves as a high-density channel capable of rendering input from smartphone-based 3D scanning and inertial sensors. Demonstrations of this system include sensory substitution designed to improve the quality of life for patients in clinical trials of stroke and spinal cord injury.
URL:https://seasevents.nmsdev7.com/event/ese-spring-seminar-neural-mechatronics-and-mixed-reality-for-patient-care/
LOCATION:Glandt Forum\, Singh Center for Nanotechnology\, 3205 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Colloquium
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240404T153000
DTEND;TZID=America/New_York:20240404T163000
DTSTAMP:20260403T153908
CREATED:20240311T173357Z
LAST-MODIFIED:20240311T173357Z
UID:10007896-1712244600-1712248200@seasevents.nmsdev7.com
SUMMARY:BE Seminar: "A Task-Optimized Approach to Systems Neuroscience" (Aran Nayebi\, MIT)
DESCRIPTION:Note that this seminar will be held in Wu & Chen Auditorium (Levine 101).\n\nHumans and animals exhibit a range of interesting behaviors in complex environments\, and it is unclear how the brain reformats dense sensory information to enable these behaviors. To gain traction on this problem\, new recording paradigms now facilitate the ability to record and manipulate hundreds to thousands of neurons in awake\, behaving animals. Consequently\, a pressing need arises to distill these data into interpretable insights about how neural circuits give rise to intelligent behaviors.\n\nTo engage with these issues\, I take a computational approach\, known as “task-optimized modeling”\, that leverages recent advancements in artificial intelligence (AI) to express hypotheses for the evolutionary constraints of neural circuits. These constraints guide the iterative optimization of artificial neural networks to achieve a specific behavior (“task”). By carefully analyzing the factors that contribute to model fidelity in predicting large-scale neural response patterns\, we can gain insight into why certain brain areas respond as they do\, and what selective pressures over evolutionary and developmental timescales give rise to the diversity of observed neural responses.\n\nIn this talk\, I apply this approach to examine the functional constraints of brain areas involved in the perception-action loop across multiple timescales: 1. the role of recurrent processing in rapid object recognition (within 250 ms)\, and 2. visually-grounded mental simulation of future environmental states (within several seconds). Finally\, I conclude with future directions towards closing the perception-action loop by extending task-optimized modeling to build integrative\, embodied agents to gain a systems-level understanding of an organism’s brain. These agents would serve as normative accounts of how brain areas collaborate to enable meaningful actions in the physical world. Their design will elucidate the algorithmic principles of natural intelligence conserved across species\, and yield safer\, more grounded embodied AI algorithms.
URL:https://seasevents.nmsdev7.com/event/be-seminar-a-task-optimized-approach-to-systems-neuroscience-aran-nayebi-mit/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 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:20240405T093000
DTEND;TZID=America/New_York:20240405T103000
DTSTAMP:20260403T153908
CREATED:20240325T133006Z
LAST-MODIFIED:20240325T133006Z
UID:10007912-1712309400-1712313000@seasevents.nmsdev7.com
SUMMARY:MEAM Ph.D. Thesis Defense: "Computational Study on Rough Wall-Bounded Flows and their Effects at Low and Very-High Reynolds Numbers"
DESCRIPTION:Many relevant engineering fluid dynamics problems\, such as turbulent flow over an airplane or transport processes in geophysical flows\, contain wall-bounded regions that form boundary layers. Oftentimes\, numerical and experimental studies are simplified by using smooth surfaces.  This simplification has allowed us to gain a greater understanding of near-wall processes for many flows of interest\, yet in actuality\, most surfaces are inherently rough. In many cases\, especially at higher Reynolds numbers where boundary layers are relatively thin\, roughness elements protrude far enough into the flow to disrupt it. This roughness can induce form drag\, reducing efficiency for ships\, planes\, and turbines\, or alter transport of heat\, contaminants\, and sediment in atmospheric flows. However\, at lower Reynolds numbers\, roughness may produce the opposite effect\, reducing drag or enhancing lift capabilities\, such as in the case of dimples on a golf ball. Here\, I use large-eddy simulations to discern the physics governing rough\, wall-bounded flows at the two extremes of the Reynolds number range. I first investigate the aerodynamic enhancement provided by surface roughness on a micro-propeller operating at a Reynolds number ~ O(10^3). Physical mechanisms of the improvement in thrust are found and disclosed. Next\, I investigate changes to an atmospheric boundary layer at a Reynolds number ~ O(10^6)\, encountering a step change in roughness. I examine the real roughness transition that occurs at White Sands National Park in New Mexico\, USA\, where an Alkali Flat develops into a spatially heterogeneous dune field. A new mesoscopic length-scale is established\, as the study reveals a self-similarity of turbulence within the internal boundary layer\, displaying its importance to the large-scales of the flow. I extend this investigation using quadrant analysis to determine the role of the developing internal boundary layer in modifying turbulence producing events.
URL:https://seasevents.nmsdev7.com/event/meam-ph-d-thesis-defense-computational-study-on-rough-wall-bounded-flows-and-their-effects-at-low-and-very-high-reynolds-numbers/
LOCATION:Towne 313\, 220 S. 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Doctoral,Dissertation or Thesis Defense
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240405T103000
DTEND;TZID=America/New_York:20240405T114500
DTSTAMP:20260403T153908
CREATED:20231220T154633Z
LAST-MODIFIED:20231220T154633Z
UID:10007788-1712313000-1712317500@seasevents.nmsdev7.com
SUMMARY:Spring 2024 GRASP on Robotics: Jessy Grizzle\, University of Michigan\, "Michigan’s Robotics Department and Undergrad Curriculum - 'Non c'è scommessa più persa di quella che non giocherò' (There’s no bet more lost than the one I won’t even play)" -- Ora by Jovanotti
DESCRIPTION:This is a hybrid event with in-person attendance in Wu and Chen and virtual attendance on Zoom. \nABSTRACT\nAfter 39 years as a faculty member with continuous NSF support\, the speaker has graduated his last PhD students\, closed his lab\, and turned 100% to teaching. From June 2016 through June 2021\, he led Michigan’s Robotics Institute (aka\, he took that bet) and transformed it into a full-fledged department with UG\, MS\, and PhD degrees. The talk will focus on the undergraduate program and its highly innovative math sequence: ROB 101 Computational Linear Algebra has already taught over 800 Michigan engineers\, 90 HBCU students\, and a handful of HS students;  and ROB 201 Calculus for the Modern Engineer\, which will be piloted in Fall 2024. Both courses are focused on equity because\, while Talent is Uniformly Distributed\, Opportunity is Not!
URL:https://seasevents.nmsdev7.com/event/spring-2024-grasp-on-robotics-jessy-grizzle-university-of-michigan-non-ce-scommessa-piu-persa-di-quella-che-non-giochero-theres-no-bet-more-lost-than-the-one-i-wont-ev/
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
END:VCALENDAR