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DTSTART;TZID=America/New_York:20230724T130000
DTEND;TZID=America/New_York:20230724T140000
DTSTAMP:20260404T083711
CREATED:20230616T132453Z
LAST-MODIFIED:20230616T132453Z
UID:10007589-1690203600-1690207200@seasevents.nmsdev7.com
SUMMARY:PSOC@Penn Seminar: Sadjad Arzash & Ping Zhou
DESCRIPTION:
URL:https://seasevents.nmsdev7.com/event/psocpenn-seminar-sadjad-arzash-ping-zhou/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar,Postdoctoral
ORGANIZER;CN="PSOC":MAILTO:manu@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230725T100000
DTEND;TZID=America/New_York:20230725T113000
DTSTAMP:20260404T083711
CREATED:20230711T193536Z
LAST-MODIFIED:20230711T193536Z
UID:10007608-1690279200-1690284600@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Bistable Robots: Leveraging Task Features for Actuator Reduction"
DESCRIPTION:Actuator reduction is especially important for aerial robots\, where minimizing mass and conserving power is critical. Bistable mechanisms have been used to augment actuators by speeding up actuation time or allowing one direction of actuation to be passive. In this talk we will explore how bistable mechanisms can reduce the number of actuators needed in robotic applications. Traditional quadrotors exhibit agile flight\, hovering\, and landing. Inspired by birds and bats\, recent developments aim to augment the capabilities of quadrotors with gliding or perching capabilities. However\, current solutions require the addition of actuators. We demonstrate that bistable mechanisms can allow robots to exploit features in the task or environment to gain the desired functionality passively. Perching is an inherently contact-rich task\, and incorporating a bistable structure enables us to exploit contacts for passive grasping and releasing. Flight is a highly dynamic task\, and we demonstrate that bistable structures enable us to exploit inertia for passive wing deployment. Thus\, bistability enables us to endow aerial robots with additional capabilities without adding additional motors.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-bistable-robots-leveraging-task-features-for-actuator-reduction/
LOCATION:Moore 212
CATEGORIES:Seminar
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230728T110000
DTEND;TZID=America/New_York:20230728T160000
DTSTAMP:20260404T083711
CREATED:20230720T181509Z
LAST-MODIFIED:20230720T181509Z
UID:10007609-1690542000-1690560000@seasevents.nmsdev7.com
SUMMARY:Penn American Red Cross Blood Drive
DESCRIPTION:There is currently a critical need for blood donors\, and members of the Penn Engineering community are invited to participate in a school-wide blood drive. To join in this effort\, please RSVP using this link.
URL:https://seasevents.nmsdev7.com/event/penn-american-red-cross-blood-drive/
LOCATION:Bodek Lounge\, Houston Hall\, 3417 Spruce St\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Faculty,Doctoral,Graduate,Student,Master's,Undergraduate,Staff
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230731T130000
DTEND;TZID=America/New_York:20230731T140000
DTSTAMP:20260404T083711
CREATED:20230616T132724Z
LAST-MODIFIED:20230616T132724Z
UID:10007590-1690808400-1690812000@seasevents.nmsdev7.com
SUMMARY:PSOC@Penn Seminar:  Yiming Wang & Ison Chen
DESCRIPTION:
URL:https://seasevents.nmsdev7.com/event/psocpenn-seminar-kshitiz-parihar-ison-chen/
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:20230801T100000
DTEND;TZID=America/New_York:20230801T113000
DTSTAMP:20260404T083711
CREATED:20230720T194435Z
LAST-MODIFIED:20230720T194435Z
UID:10007610-1690884000-1690889400@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Mechanics- Informed Optimization for Enhanced Adhesion and Toughness"
DESCRIPTION:Structural design optimization has long played a crucial role in engineering\, often with the goal of creating stiff and lightweight structures for aerospace and other applications. However\, optimizing structures against failure is also crucial and has been much less well explored. Failure via fracture and at interfaces is particularly challenging in design optimization as they involve high local stress concentrations and singular stresses. In this talk\, we demonstrate how mechanics models can be integrated with optimization schemes to engineer structures with improved interface adhesion and fracture toughness. Specifically\, four distinct structural design cases are considered: adhesive fibrils\, shear lap joints\, architected adhesive joints\, and adaptive mechanical networks. The computational framework couples finite element analysis with multiple optimization methods\, including gradient and heuristic-based techniques\, as well as machine learning-based approaches. We show that performance can be improved by formulating optimization schemes and objective functions based on the principles of mechanics and failure. Optimal designs are determined via the computational schemes and validated via experiments on several different material systems. The versatility of the computational and optimization schemes that have been developed enables them to be extended to other scenarios where performance can be improved by optimizing geometry to control stresses.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-mechanics-informed-optimization-for-enhanced-adhesion-and-toughness/
LOCATION:Towne 337
CATEGORIES:Seminar,Doctoral
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230803T150000
DTEND;TZID=America/New_York:20230803T170000
DTSTAMP:20260404T083711
CREATED:20230731T202358Z
LAST-MODIFIED:20230731T202358Z
UID:10007620-1691074800-1691082000@seasevents.nmsdev7.com
SUMMARY:ESE PhD Thesis Defense: "Software/Hardware Co-optimization for Computer Systems with 3D-stacking Memories"
DESCRIPTION:Emerging 3D memory technologies\, such as the Hybrid Memory Cube (HMC) and High Bandwidth Memory (HBM)\, provide high bandwidth and massive memory-level parallelism. With the growing heterogeneity and complexity of computer systems (CPU cores and accelerators\, etc.)\, efficiently integrating emerging memories into existing systems poses new challenges to both algorithm\, hardware and system. This dissertation explores the application-aware system optimization techniques for 3D-stacking memory in both domain-specific accelerators (DSAs) and general-purpose computer systems. The first part of the dissertation presents a standalone 3D-Stacking memory-based graph accelerator that can achieve 45.8 billion traversed edges per second (TEPS) by co-optimizing the algorithm and the hardware architecture. We first present the modifications of algorithm and a platform-aware graph processing architecture to perform level-synchronized breadth first search (BFS) on FPGA-HMC platform. To gain better insights into the potential bottlenecks of proposed implementation\, we develop an analytical performance model to quantitatively evaluate the HMC access latency and corresponding BFS performance. Based on the analysis\, we propose a two-level bitmap scheme to reduce memory access and perform optimization on key design parameters (e.g. memory access granularity). Then\, we leverage the inherent graph property i.e. vertex degree to co-optimize algorithm and hardware architecture. In particular\, we first develop two algorithm optimization techniques: degree-aware adjacency list reordering and degree-aware vertex index sorting and two platform-dependent hardware optimization techniques\, namely degree-aware data placement and degree-aware adjacency list compression. These two techniques together substantially reduce the amount of access to external memory. Finally\, we conduct extensive experiments on an FPGA-HMC platform to verify the effectiveness of the proposed techniques. In the second part of this dissertation\, we develop machine learning methods that can automatically identify access patterns of major variables in a program. These methods can then cluster these variables with similar access patterns to reduce the overhead for SDAM. Our evaluation on standard CPU benchmarks and data-intensive benchmarks (for both CPU and accelerators) demonstrates a 1.41x and1.84x speedup on CPU and a 2.58x speedup on near-memory accelerators in our system with SDAM\, compared to a baseline system.
URL:https://seasevents.nmsdev7.com/event/ese-phd-thesis-defense-software-hardware-co-optimization-for-computer-systems-with-3d-stacking-memories/
LOCATION:Moore 317\, 200 S 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Dissertation or Thesis Defense
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230807T130000
DTEND;TZID=America/New_York:20230807T140000
DTSTAMP:20260404T083711
CREATED:20230616T133058Z
LAST-MODIFIED:20230616T133058Z
UID:10007591-1691413200-1691416800@seasevents.nmsdev7.com
SUMMARY:PSOC@Penn Seminar: Geng-Yuan "Scott" Chen & Alisya Anlas
DESCRIPTION:
URL:https://seasevents.nmsdev7.com/event/psocpenn-seminar-geng-yuan-scott-chen-alisya-anlas/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar,Postdoctoral
ORGANIZER;CN="PSOC":MAILTO:manu@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230808T100000
DTEND;TZID=America/New_York:20230808T113000
DTSTAMP:20260404T083711
CREATED:20230727T132531Z
LAST-MODIFIED:20230727T132531Z
UID:10007615-1691488800-1691494200@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Wall-modeled Large-eddy Simulation of Non-Equilibrium Turbulent Boundary Layers"
DESCRIPTION:Accurate prediction of high-Reynolds-number turbulent flows is essential for the understanding and flow control of many engineering applications such as aircraft\, turbomachinery\, and marine vehicles. Additionally\, most practical flows exhibit nonequilibrium effects such as pressure gradients and flow separation. However\, the direct numerical simulation (DNS) of high-Reynolds-number wall-bounded turbulent flows is not feasible owing to the prohibitive computational cost of resolving small-scale eddies near the wall. Wall-modeled large-eddy simulation (WMLES) presents an affordable predictive alternative to the DNS via approximate modeling of flow physics near the wall (through a wall model) while resolving the outer (larger) scales directly on the computational grid. In this talk\, we will explore three wall models with varying degrees of computational complexity and physical fidelity\, to assess their performance in two controlled nonequilibrium flows over a flat plate. The first flow features a turbulent boundary layer undergoing a series of complex pressure gradient effects\, while the second exhibits turbulent flow separation induced by suction and blowing. While in the latter case\, the more complex model clearly produces a superior prediction of the wall shear stress\, the same is not necessarily true in the former case\, highlighting the importance of adapting the wall models to different flow physics. We will show how differing mechanisms within wall models lead to the observed results.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-wall-modeled-large-eddy-simulation-of-non-equilibrium-turbulent-boundary-layers/
LOCATION:Room 337\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230810T150000
DTEND;TZID=America/New_York:20230810T170000
DTSTAMP:20260404T083711
CREATED:20230724T151244Z
LAST-MODIFIED:20230724T151244Z
UID:10007611-1691679600-1691686800@seasevents.nmsdev7.com
SUMMARY:BE Doctoral Dissertation Defense: "Microfluidics for throughput scalable formulation of mRNA lipid nanoparticle technology" (Sarah Shepherd)
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania along with Drs. Dave Issadore and Mike Mitchell proudly announce the Doctoral Dissertation Defense of Sarah Shepherd.\n \nTitle: Microfluidics for throughput scalable formulation of mRNA lipid nanoparticle technology \n \nDate:  August 10\, 2023\nTime: 3:00 PM\nLocation: Wu & Chen Auditorium\, Levine Hall\n \nZoom option:\nhttps://us04web.zoom.us/j/78754123595?pwd=P2UVNng5H6hZXibk3AylTxA9UcWA9o.1 \nMeeting ID: 787 5412 3595\nPasscode: 67A0rr\n\n\nThe public is welcome to attend.
URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-defense-microfluidics-for-throughput-scalable-formulation-of-mrna-lipid-nanoparticle-technology-sarah-shepherd/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Doctoral,Graduate,Student,Dissertation or Thesis Defense
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230811T140000
DTEND;TZID=America/New_York:20230811T150000
DTSTAMP:20260404T083711
CREATED:20230809T154314Z
LAST-MODIFIED:20230809T154314Z
UID:10007631-1691762400-1691766000@seasevents.nmsdev7.com
SUMMARY:Summer 2023 GRASP Seminar: Claire Tomlin\, University of California at Berkeley\, “Safe Learning in Control”
DESCRIPTION:This is a hybrid event with in-person attendance in Wu and Chen and virtual attendance on Zoom. \n  \nABSTRACT\nIn many applications of autonomy in robotics\, guarantees that constraints are satisfied throughout the learning process are paramount. We present a controller synthesis technique based on the computation of reachable sets\, using optimal control and game theory. Then\, we present methods for combining reachability with learning-based methods\, to enable performance improvement while maintaining safety\, and to move towards safe robot control with learned models of the dynamics and the environment. We will discuss different interaction models with other agents\, and some implications of model vs. learning-based predictions.
URL:https://seasevents.nmsdev7.com/event/summer-2023-grasp-seminar-claire-tomlin-university-of-california-at-berkeley-safe-learning-in-control/
LOCATION:GRASP Treehouse – Pennovation Complex; LAB Building (Bldg 250 – Suite 250)\, 3401 Grays Ferry\, Philadelphia\, 19146\, 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:20230815T100000
DTEND;TZID=America/New_York:20230815T113000
DTSTAMP:20260404T083711
CREATED:20230807T202346Z
LAST-MODIFIED:20230807T202346Z
UID:10007629-1692093600-1692099000@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Hierarchical Methods for Geometric Control of Underactuated\, Free-Flying Robotic Systems"
DESCRIPTION:Free-flying robotic systems (such as multibody aerial and space vehicles) evolve on high-dimensional non-Euclidean manifolds subject to nonlinear\, underactuated dynamics. Because such systems can rely only on the severely limited computational resources available onboard\, the design of general-purpose controllers capable of dynamic and reliable real-time performance remains a formidable challenge. To mitigate these obstacles and achieve the stated goals across a broad class of systems\, we seek geometric insight into structural properties that transcend individual robot morphologies\, developing systematic methods of controller synthesis by leveraging these features. First\, we exploit the Noetherian symmetry and Riemannian structure inherent to their dynamics\, revealing a class of systems that admits a certain hierarchical decomposition. In such a representation\, the motion of the system’s internal degrees of freedom is completely determined by the bulk motion through its symmetry group (e.g. its position and orientation). Examples of such systems include aerial manipulators consisting of an underactuated vehicle equipped with a robotic arm. Second\, in order to design and certify hierarchical controllers that leverage this structure\, we prove new basic results on the stability of cascades whose subsystems are only almost globally asymptotically stable\, the best possible property for smooth vector fields on general manifolds. Lastly\, in our ongoing work we apply these theoretical insights to inform mechanical design and controller implementation in pursuit of a small and agile aerial manipulator capable of precise\, dynamic operation.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-hierarchical-methods-for-geometric-control-of-underactuated-free-flying-robotic-systems/
LOCATION:Towne 337
CATEGORIES:Seminar
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230816T140000
DTEND;TZID=America/New_York:20230816T150000
DTSTAMP:20260404T083711
CREATED:20230807T183827Z
LAST-MODIFIED:20230807T183827Z
UID:10007627-1692194400-1692198000@seasevents.nmsdev7.com
SUMMARY:MEAM Ph.D. Thesis Defense: "Exploiting Flows for Orienteering and Planning Problems"
DESCRIPTION:Task and path planning algorithms for robots in the presence of flows confront a fundamental dichotomy between the continuous and the discrete: task planning algorithms discretize the world and their goals\, whereas flows are continuous in nature. This contrast is exemplified in many robotic applications where environmental forces impact navigation and exploiting those flows is critical for the quality of results. In this work\, we address methods for connecting continuous models of the environment with planning methods for robot motion in high-level task planning with low-level path planning.\nFirst\, we examine a problem that focuses on the high level problem of task planning\, but abstracts away the environment and assumes that the low-level path planning is solved independently. This helps simplify the problem\, but neglects to include environmental information which is often fundamentally linked to the vehicle motion. Next\, we address this limitation by exploring path planning algorithms in environments that are represented by an external flow field\, such as static and time-varying ocean currents. While we cannot control the external currents\, our planning method considers the trade-offs between energy efficiency\, reward collection\, and time budget based on the interplay of the chosen routes\, paths\, and environment. Lastly\, we expand our analysis to the joint problem of both designing the environmental flows and path planning within the designed flow fields. We explore this problem in the context of controlling magnetically driven milli-robots. We show how we can circumvent the need to solve the inverse dynamics problem with complete knowledge of the global field by extracting key features from the generated fields. These features enable us to take a topological approach to discretize the search space and design advantageous paths.
URL:https://seasevents.nmsdev7.com/event/meam-ph-d-thesis-defense-exploiting-flows-for-orienteering-and-planning-problems/
LOCATION:Towne 337
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:20230817T171500
DTEND;TZID=America/New_York:20230818T180000
DTSTAMP:20260404T083711
CREATED:20230811T172805Z
LAST-MODIFIED:20230811T172805Z
UID:10007633-1692292500-1692381600@seasevents.nmsdev7.com
SUMMARY:NCI Junior Investigator Meeting
DESCRIPTION:University of Pennsylvania will be hosting the NCI Junior Investigator Meeting this year. The meeting includes several talks throughout the day and poster sessions (5:15 pm Thursday  & 4:00pm Friday)\n\n\nNCI Junior Investigator Meeting\nAugust 17-18\, 2023\nWu & Chen Auditorium\, Levine Hall\n\nUniversity of Pennsylvania \nPhiladelphia\, PA\n\n\nPlease see the website for details: https://events.cancer.gov/dcb/ji-meeting
URL:https://seasevents.nmsdev7.com/event/9441/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Faculty,Student,Conference
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230818T110000
DTEND;TZID=America/New_York:20230818T120000
DTSTAMP:20260404T083711
CREATED:20230816T135859Z
LAST-MODIFIED:20230816T135859Z
UID:10007636-1692356400-1692360000@seasevents.nmsdev7.com
SUMMARY:Nano Seminar: "Conductive Nitrides for Plasmonics in the Visible Region:  Properties and Applications"
DESCRIPTION:Plasmonic nanostructure based on silver and gold that produces LSPR to withstand ultrahigh temperatures without damage remains a great challenge for future ultra-compact integrated circuits\, and high-power enabled photonic devices. In principle\, the shapes of plasmonic nanostructures containing noble metals would change after the heat treatment that altered the plasmonic resonance. Thus\, discovering refractory plasmonic materials that can exhibit plasmonic resonance in the visible range is essential. A challenge in refractory plasmonic materials is the bulk plasmon frequency is usually in the near-infrared range\, making it difficult to generate plasmonic colors in the visible. We first reported a new refractory plasmonic material HfN\, one of the conductive nitrides\, that has a relatively high bulk plasmon frequency (λ = 400 nm) with a high melting point (T ∼ 3583 K) and a relatively large magnitude of the real part of the permittivity\, which enables intense local electromagnetic field confinement to form LSPR in the visible region. We use this unique property to develop full-color plasmonic pixels with sub-diffraction resolution through tailoring HfN plasmonic crystals and demonstrate that HfN refractory plasmonic crystals can withstand high-temperature annealing (900 °C) without damage. The novel HfN refractory plasmonic materials unlock new opportunities for ultra-compact integrated functional plasmonic devices. Especially the unique property of HfN\, implying a bright future for emerging plasmonic materials at visible wavelengths [1]. In addition\, I will present an overview of my research works over the past five years on the plasmon-enhanced light-matter interactions in the visible regions and their applications [1-6]\, including the plasmonic nanolasers [2-3]\, tunable plasmonic modulators [4]\, plasmonic phototransistors [5]\, plasmon-enhanced solar energy harvesting [6]\, and the refractory plasmonic colors for back-light free displays [1]. My group discovered several unique working mechanisms that utilize plasmonic nanocavities to improve optoelectronic device performance. More recently\, we demonstrated the scalable 2D FET device fabrication and characterization [7].  By engineering the local electromagnetic field confinement\, the light-matter interaction strength can be enhanced\, which results in efficient energy conversion in the designed nanosystem. Lastly\, I will discuss detailed mechanisms and possible applications. These results have broad implications for the use of alternative plasmonic nanocavities in high-performance optoelectronic devices.
URL:https://seasevents.nmsdev7.com/event/nano-seminar-conductive-nitrides-for-plasmonics-in-the-visible-region-properties-and-applications/
LOCATION:Room 35\, Singh Center for Nanotechnology\, 3205 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230821T100000
DTEND;TZID=America/New_York:20230821T110000
DTSTAMP:20260404T083711
CREATED:20230808T194307Z
LAST-MODIFIED:20230808T194307Z
UID:10007630-1692612000-1692615600@seasevents.nmsdev7.com
SUMMARY:MEAM Ph.D. Thesis Defense: "Mobile Wireless Infrastructure on Demand in Robot Teams"
DESCRIPTION:Communication is fundamental to successful coordination in teams of robots. Indeed\, the promise that robot teams can complete tasks faster and more efficiently than any single agent depends on their ability to share information and effectively coordinate their actions. Today\, teams of mobile robots are increasingly being deployed to tackle challenging tasks in environments without existing network infrastructure\, relying instead on peer-to-peer communication. While there exists a considerable body of research dedicated to maintaining network connectivity\, we still lack methods that are efficient\, scalable\, and practical. In this thesis we take a number of steps to address these challenges. First\, we formalize the problem of Mobile Infrastructure on Demand (MID)\, wherein a team of mobile robots are deployed to create and sustain a wireless network that supports the communication requirements of a different set of task-oriented robots collaborating to accomplish an objective. This approach decouples the task planning and network maintenance problems and allows us to focus on developing algorithms for the communication/MID team that are task agnostic\, enabling a large class of multi-robot algorithms to function without existing network infrastructure. Second\, we demonstrate a data driven approach to the MID agent placement problem using convolutional neural networks (CNNs) that achieves comparable performance to an optimization based expert in a fraction of the time and scales to large teams. Finally\, we introduce a complete solution to the MID problem that optimizes the position of mobile network relay nodes to directly improve the performance of the underlying routing protocol. We demonstrate our system in a set of experiments with ground robots equipped with 802.11 WiFi radios performing situational awareness and multi-robot exploration.
URL:https://seasevents.nmsdev7.com/event/meam-ph-d-thesis-defense-mobile-wireless-infrastructure-on-demand-in-robot-teams/
LOCATION:216 Moore Building
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:20230822T100000
DTEND;TZID=America/New_York:20230822T113000
DTSTAMP:20260404T083711
CREATED:20230807T180903Z
LAST-MODIFIED:20230807T180903Z
UID:10007626-1692698400-1692703800@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Photophoretic Levitating Structures Enabling Mesospheric and Martian Exploration"
DESCRIPTION:Studying certain regions of the atmosphere is hindered by available propulsion technologies. For example\, the mesosphere\, ranging from about 50 to 80 km in altitude\, has air too thin for aerodynamic and buoyant flight but air too dense for satellites and orbital flight due to drag. The Martian atmosphere is another region where no flight mechanisms currently operate besides the short-term flight of the Mars Helicopter. We propose a novel flight mechanism utilizing only light and no moving parts to allow macroscale structures to achieve photophoretic levitation. Photophoretic levitation refers to flight enabled through light-induced movement of gas particles that create lift forces and is optimized in the terrestrial mesosphere and on Mars. We previously demonstrated the possibility of levitating centimeter-scale disks and plates of microfabricated materials for early levitation testing\, fabrication\, and theory development. Now\, we show the scalability of this mechanism to carry theoretical payloads of up to 10 kg in the upper atmosphere. This scalability is plausible by expanding the nearly 2D materials to meter-scale 3D structures like spheres and cones made of the same ultrathin\, ultralight materials. We will discuss the architecture of photophoretic aircraft and their scalability to kg-size payloads\, as well as the fabrication\, testing\, and simulations behind these discoveries. The applications include in situ measurements in the upper atmosphere through deployment from missions like current NASA balloons or sounding rockets. Ultimately\, deploying an array of photophoretic aircraft represents new and cost-effective means of remotely sensing winds\, temperature\, and gas concentrations in the Martian atmosphere and the mesosphere through different sensing mechanisms.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-photophoretic-levitating-structures-enabling-mesospheric-and-martian-exploration/
LOCATION:Towne 337
CATEGORIES:Seminar
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230822T140000
DTEND;TZID=America/New_York:20230822T160000
DTSTAMP:20260404T083711
CREATED:20230807T144343Z
LAST-MODIFIED:20230807T144343Z
UID:10007624-1692712800-1692720000@seasevents.nmsdev7.com
SUMMARY:BE Doctoral Dissertation Defense: "The Role of Collagen XII in Establishing Tendon Cell Organization\, Hierarchical Structure\, and Mechanical Function During Tendon Development" (Ashley Fung)
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Dr. Lou Soslowsky are pleased to announce the Doctoral Dissertation Defense of Ashley Fung.\n\n\n\n\nTitle: The Role of Collagen XII in Establishing Tendon Cell Organization\, Hierarchical Structure\, and Mechanical Function During Tendon Development\nAdvisor: Dr. Lou Soslowsky\nDate: Tuesday\, August 22\nTime: 2pm\nLocation: CRB Austrian Auditorium\nZoom link: https://upenn.zoom.us/j/94851744190?pwd=a3Z4VDdGSFlrZlpGaHg4dlRiU3JMUT09\n\nThe public is welcome to attend.
URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-defense-the-role-of-collagen-xii-in-establishing-tendon-cell-organization-hierarchical-structure-and-mechanical-function-during-tendon-development-ashley-fung/
LOCATION:CRB Auditorium\, 415 Curie Boulevard\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Doctoral,Graduate,Student,Dissertation or Thesis Defense
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230824T103000
DTEND;TZID=America/New_York:20230824T113000
DTSTAMP:20260404T083711
CREATED:20230811T132042Z
LAST-MODIFIED:20230811T132042Z
UID:10007632-1692873000-1692876600@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Vibrating Beam MEMS Accelerometers for Gravity and Seismic Measurements"
DESCRIPTION:Advances in microelectromechanical systems (MEMS) have enabled the widespread development of sensors for a variety of consumer\, automotive\, and wearable healthcare electronics applications. However\, there is increasing interest in the development of highly accurate MEMS inertial sensors for a variety of emerging applications\, for e.g.\, navigation systems for pedestrians and autonomous vehicles\, and seismic and gravity imaging\, where the traditional attributes of MEMS (miniaturization and system integration) are combined with scalable transduction principles to enable highly accurate physical measurements. Resonant approaches to measurement of forces and displacements in MEMS devices have enabled significant advances in accuracy of MEMS inertial sensors in recent years\, assisted by parallel advances in wafer-level encapsulation techniques\, interface circuits\, and approaches to mitigate temperature sensitivity\, also applied to products in MEMS timing and frequency control. This talk will describe the evolution of vibrating beam MEMS accelerometers demonstrating exceptional long-term stability for applications in gravimetry and seismology. Device sensitivity and stability is demonstrated through the tracking of Earth tides and recording of ground motion corresponding to a number of seismic events. MEMS-based gravity instruments are now being developed for applications such as geotechnical surveying\, planetary exploration\, and CO2 storage\nmonitoring. These results demonstrate the potential of vibrating beam MEMS accelerometers for high-resolution and stable measurements with wider implications for precision measurement employing other resonant-output MEMS devices such as gyroscopes and magnetometers.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-vibrating-beam-mems-accelerometers-for-gravity-and-seismic-measurements/
LOCATION:Towne 337
CATEGORIES:Seminar
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230828T100000
DTEND;TZID=America/New_York:20230828T120000
DTSTAMP:20260404T083711
CREATED:20230807T193609Z
LAST-MODIFIED:20230807T193609Z
UID:10007628-1693216800-1693224000@seasevents.nmsdev7.com
SUMMARY:BE Doctoral Dissertation: “MRI-based Quantification of Renal Oxygen Utilization” (Rajiv Deshpande)
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Dr. Felix Wehrli are pleased to announce the Doctoral Dissertation Defense of Rajiv Deshpande. \nTitle: “MRI-based Quantification of Renal Oxygen Utilization” \nDate: August 28\, 2023 \nTime: 10:00 AM \nLocation: Donner-Grice Auditorium\, HUP (2nd Floor) \nThe public is welcome to attend.
URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-mri-based-quantification-of-renal-oxygen-utilization-rajiv-deshpande/
LOCATION:Donner-Grice Auditorium
CATEGORIES:Doctoral,Graduate,Student,Dissertation or Thesis Defense
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230829T100000
DTEND;TZID=America/New_York:20230829T113000
DTSTAMP:20260404T083711
CREATED:20230804T180757Z
LAST-MODIFIED:20230804T180757Z
UID:10007622-1693303200-1693308600@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "The Multiphysics Stochastic Brain"
DESCRIPTION:Fuelled in particular by current medical challenges in Traumatic Brain Injury\, the field of brain mechanics has progressed tremendously in the last decade. Simulations that required months in development and runtime can now be created from patient specific medical images\, meshed and run in a fraction of that time. However\, and paradoxically\, not only do these new models still lack multiphysics capabilities – in clear contradiction with their ultimate purpose to predict functional alteration – but their high fidelity has also exacerbated a problem that the rough early finite element models were naturally avoiding by design\, i.e.\, the stochasticity of the brain. In this presentation\, we first highlight why multiphysics modelling considerations are indeed required to adequately tackle the current challenges of brain engineering research. We then focus on the stochasticity of the brain by proposing a series of new numerical methods built on the finite element method accounting for both the intrinsic stochasticity (i.e.\, variations of the properties within the brain) and extrinsic stochasticity (i.e.\, variations between individuals). Relevant applications are given throughout as illustrations.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-the-multiphysics-stochastic-brain/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230905T100000
DTEND;TZID=America/New_York:20230905T113000
DTSTAMP:20260404T083711
CREATED:20230801T195846Z
LAST-MODIFIED:20230801T195846Z
UID:10007621-1693908000-1693913400@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: “Data-Driven Computational Design of Engineered Material Systems”
DESCRIPTION:Designing advanced material systems poses challenges in integrating knowledge and representation from multiple disciplines and domains such as materials\, manufacturing\, structural mechanics\, and design optimization. Data-driven machine learning and computational design methods provide a seamless integration of predictive materials modeling\, manufacturing\, and design optimization\, enabling the accelerated design and deployment of advanced material systems. In this talk\, we will introduce state-of-the-art data-driven methods for designing heterogeneous nano- and microstructural materials and complex multiscale metamaterial systems. We will discuss research developments in design representation\, design evaluation\, and design synthesis\, along with novel design methods that integrate machine learning\, mixed-variable Gaussian process modeling\, Bayesian optimization\, topology optimization\, and the concept of digital twins. Furthermore\, we will address the challenges and opportunities involved in designing engineered material systems.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-data-driven-computational-design-of-engineered-material-systems/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230906T120000
DTEND;TZID=America/New_York:20230906T131500
DTSTAMP:20260404T083711
CREATED:20230828T193249Z
LAST-MODIFIED:20230828T193249Z
UID:10007649-1694001600-1694006100@seasevents.nmsdev7.com
SUMMARY:ASSET Seminar: "On Testing Properties of High-Dimensional Distributions" (Erik Waingarten\, Penn)
DESCRIPTION:
URL:https://seasevents.nmsdev7.com/event/asset-seminar-on-testing-properties-of-high-dimensional-distributions/
LOCATION:Levine 307\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="AI-enabled Systems%3A Safe%2C Explainable%2C and Trustworthy (ASSET) Center":MAILTO:asset-info@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230906T143000
DTEND;TZID=America/New_York:20230906T163000
DTSTAMP:20260404T083711
CREATED:20230817T125044Z
LAST-MODIFIED:20230817T125044Z
UID:10007639-1694010600-1694017800@seasevents.nmsdev7.com
SUMMARY:BE Doctoral Dissertation Defense: "“Development of magnetic nanopore-based extracellular vesicle subpopulation sorting for the multimodal diagnosis and prognosis of neurological disease and cancer” (Andrew Lin)
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Dr. David Issadore are pleased to announce the Doctoral Dissertation Defense of Andrew Lin. \nTitle:  “Development of magnetic nanopore-based extracellular vesicle subpopulation sorting for the multimodal diagnosis and prognosis of neurological disease and cancer” \nDate: Wednesday\, September 6th from \nTime:  2:30 PM \nLocation: Raisler Lounge (Towne 2nd Floor) \nZoom option: \nhttps://upenn.zoom.us/j/2137711558 \nThe public is welcome to attend.
URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-defense-development-of-magnetic-nanopore-based-extracellular-vesicle-subpopulation-sorting-for-the-multimodal-diagnosis-and-prognosis-of-neurological-disease-and-c/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Doctoral,Graduate,Student,Dissertation or Thesis Defense
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230906T153000
DTEND;TZID=America/New_York:20230906T163000
DTSTAMP:20260404T083711
CREATED:20230816T183654Z
LAST-MODIFIED:20230816T183654Z
UID:10007637-1694014200-1694017800@seasevents.nmsdev7.com
SUMMARY:CBE Seminar: "Engineering Electrochemical Reactions for Sustainable Chemical Manufacturing" (Modestino\, NYU)
DESCRIPTION:The chemical industry produces more than 70\,000 products (1.2 billion tons in total) via thermal processes powered by fossil fuel combustion\, accounting for ~5% of the US energy utilization and >30% of the US energy-derived industrial CO2 emissions. Amongst these processes\, the production of organic chemical commodities accounts for most of the energy utilization (>1200 TBTU/y)\, and the electrification of these processes via the implementation of electro-organic reactions coupled with green hydrogen production could enable the integration of renewable electricity sources with chemical plants and accelerate the decarbonization of the chemical industry. Most of these reactions are oxidations in nature and if performed electrochemically could be coupled with the reduction of water to potentially produce H2. These paired electrolysis approaches for the production of basic organic chemicals would result in the production of large amounts of emissions-free H2 which could support other processes in the industry. Currently\, however\, two major challenges prevent the deployment of electro-organic reactions at scale: their low selectivity and their low production rates. To circumvent these barriers\, my group combines electrochemical reaction engineering principles and machine-learning methods to accelerate the development of high-performing electro-organic reaction processes. \nIn this presentation\, I will discuss our work on understanding and improving the production of adiponitrile (ADN)\, a precursor to Nylon 6\,6\, via the electrohydrodimerization of acrylonitrile (AN). This is the largest and most successful electro-organic reaction deployed in industry and serves as a test case for the development of large-scale organic electrochemical processes. Our investigations on ADN are aimed at uncovering the relationship between the electrochemical environment at and near the electrical double layer (EDL) and reaction performance metrics (i.e.\, selectivity\, efficiency\, and productivity). I will discuss general guidelines for electrolyte formulation and provide insights into the role of different electrolyte species (e.g.\, buffer ions\, chelating ions\, selectivity-directing ions\, and supporting ions) in achieving conversions of AN to ADN with selectivity as high as 83%. I will also present how carefully controlling pulsed electrosynthesis conditions guided by active machine learning can help mitigate mass transport limitations\, control the concentration of AN near the EDL and enhance the production rate of ADN by >30%. Our learnings on ADN electrosynthesis helped us to also engineer the electrocatalytic hydrogenation of ADN to hexamethylenediamine (a Nylon 6\,6 monomer)\, achieving the highest reported selectivity to date for this reaction (>95%). This electrochemical hydrogenation process avoids sourcing hydrogen from fossil sources and brings sustainability to hydrogen utilization in chemical production. To further accelerate the development of high-performing electro-organic processes\, my group has recently developed new machine-learning methods for rapid reactor outflow analysis using inexpensive spectroscopic tools and Bayesian optimization methods that leverage physical models to maximize process performance. These new tools will help us accelerate the electrification of petrochemical processes with large carbon footprints.
URL:https://seasevents.nmsdev7.com/event/cbe-seminar-engineering-electrochemical-reactions-for-sustainable-chemical-manufacturing-modestino-nyu/
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:20230907T103000
DTEND;TZID=America/New_York:20230907T120000
DTSTAMP:20260404T083711
CREATED:20230824T191040Z
LAST-MODIFIED:20230824T191040Z
UID:10007644-1694082600-1694088000@seasevents.nmsdev7.com
SUMMARY:MSE Seminar: Working Safely in the Lab: Navigating Common Laboratory Hazards in MSE Research
DESCRIPTION:EHRS Sr. Lab Safety Specialist Gwenn Allen will discuss how to work safely in the lab while navigating the changing landscape of materials science and engineering research.  Her talk will cover common laboratory hazards\, routes of exposure\, PPE requirements\, and biological safety. \nShe will also present an overview of the University’s recent transition to Workday Learning and the training requirements for MSE.  Lastly\, she will discuss a near miss box oven incident in Senior Design to illustrate the importance of undergraduate supervision in the lab.  After the presentation\, Gwenn will be happy to answer any questions about the topics covered or any other lab safety topics.
URL:https://seasevents.nmsdev7.com/event/mse-seminar-working-safely-in-the-lab-navigating-common-laboratory-hazards-in-mse-research/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230907T153000
DTEND;TZID=America/New_York:20230907T163000
DTSTAMP:20260404T083711
CREATED:20230726T135006Z
LAST-MODIFIED:20230726T135006Z
UID:10007613-1694100600-1694104200@seasevents.nmsdev7.com
SUMMARY:BE Seminar: "Engineering the immune response at the molecular level" (Jamie Spangler\, Johns Hopkins U.)
DESCRIPTION:The repertoire of naturally occurring proteins is finite and many molecules induce multiple confounding effects\, limiting their efficacy as therapeutics. Recently\, there has been a growing interest in redesigning existing proteins or engineering entirely new proteins to address the deficiencies of molecules found in nature. Researchers have traditionally taken an unbiased approach to protein engineering\, but as our knowledge of protein structure-function relationships advances\, we have the exciting opportunity to apply molecular principles to guide engineering. Leveraging cutting-edge tools and technologies in structural biology and molecular design\, our lab is pioneering a unique structure-based engineering approach to elucidate the mechanistic determinants of protein activity\, in order to inform therapeutic development. Our group is particularly interested in engineering immune proteins\, such as cytokines\, growth factors\, and antibodies\, to bias the immune response for targeted disease treatment. Despite the recent explosive growth of protein drugs within the pharmaceutical market\, limitations such as delivery\, acquired resistance\, and toxicity have impeded realization of the full potential of these therapeutics\, necessitating new approaches that synergize with existing strategies to address clinically unmet needs. This talk will highlight ongoing work in our lab that spans the discovery\, design\, and translation of novel molecular immunotherapeutics for applications ranging from cancer to autoimmune disorders to regenerative medicine.
URL:https://seasevents.nmsdev7.com/event/be-seminar-engineering-the-immune-response-at-the-molecular-level-jamie-spangler-johns-hopkins-u/
LOCATION:216 Moore Building
CATEGORIES:Seminar
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230908T103000
DTEND;TZID=America/New_York:20230908T114500
DTSTAMP:20260404T083711
CREATED:20230831T155550Z
LAST-MODIFIED:20230831T155550Z
UID:10007662-1694169000-1694173500@seasevents.nmsdev7.com
SUMMARY:Fall 2023 GRASP Seminar: GRASP Research Overview - Day 1
DESCRIPTION:GRASP Lab faculty confirmed presentations (where appropriate their presenters)…\n*This is a HYBRID Event with in-person attendance in Wu & Chen Auditorium and virtual attendance on Zoom. \nDr. Mark Yim (Welcome and Introduction)\nDr. Pratik Chaudhari\nDr. Kostas Daniilidis\nDr. Eric Eaton\nDr. Nadia Figueroa\nDr. Dinesh Jayaraman\nDr. Michael Posa\nDr. Jianbo Shi\nDr. René Vidal
URL:https://seasevents.nmsdev7.com/event/fall-2023-grasp-seminar-grasp-research-overview-day-1/
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:20230912T100000
DTEND;TZID=America/New_York:20230912T113000
DTSTAMP:20260404T083711
CREATED:20230831T201245Z
LAST-MODIFIED:20230831T201245Z
UID:10007665-1694512800-1694518200@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Viscoelastic Biopolymer Networks Model Fibrotic Niches"
DESCRIPTION:Fibrosis and remodeling of extracellular matrix are involved in many diseases\, such as tumors\, wound healing\, and chronic inflammation. During fibrosis\, tissues undergo changes in their viscoelastic properties\, i.e.\, how they resist deformation like a solid and dissipate stress over time like a fluid. Our research determines the impact of viscoelasticity on inflammation in fibrotic tissues and develops new immune therapies in cancer and regeneration. We employ material strategies to manipulate and study cell behavior in a broad range of physiologic and disease contexts\, including tissue regeneration\, hematopoietic and solid tumor malignancies\, and fibrosis. Overall\, our long-term goal is to develop novel biomaterials that enable precision health engineering.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-viscoelastic-biopolymer-networks-model-fibrotic-niches/
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:20230912T110000
DTEND;TZID=America/New_York:20230912T120000
DTSTAMP:20260404T083711
CREATED:20230829T194413Z
LAST-MODIFIED:20230829T194413Z
UID:10007651-1694516400-1694520000@seasevents.nmsdev7.com
SUMMARY:ESE Fall Seminar - "Josephson parametric amplifiers for rapid\, high-fidelity measurement of solid-state qubits"
DESCRIPTION:Quantum physics puts a limit on how small the noise added by an amplifier can be. Limiting this extra noise\, which causes unavoidable signal degradation\, is an essential requirement for the measurement of weak electromagnetic signals in various areas of science and engineering. In particular\, a nearly-quantum-limited microwave amplifier is a key tool for performing rapid\, high-fidelity measurement of solid-state qubits. In this talk\, I will review how we build Josephson parametric amplifiers (JPAs) that adds only the minimum amount of noise required by quantum physics. Focusing on a specific JPA circuit called the SNAIL parametric amplifier\, I will discuss how\, we have improved the performance of these amplifiers to achieve greater power handling and information throughput\, necessary for realizing large-scale quantum information processors. Finally\, I will discuss recent work to realize JPAs with a new element\, a Josephson Junction Field Effect Transistor (JJFET) made from InAs-Al superconductor-semiconductor heterostructures.
URL:https://seasevents.nmsdev7.com/event/ese-fall-seminar-title-tbd/
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:20230913T120000
DTEND;TZID=America/New_York:20230913T131500
DTSTAMP:20260404T083711
CREATED:20230911T145514Z
LAST-MODIFIED:20230911T145514Z
UID:10007681-1694606400-1694610900@seasevents.nmsdev7.com
SUMMARY:ASSET Seminar: "Efficient and Targeted COVID-19 Border Testing Via Reinforcement Learning" (Hamsa Bastani\, Penn)
DESCRIPTION:ABSTRACT:  \nThroughout the COVID-19 pandemic\, countries relied on a variety of ad-hoc border control protocols to allow for non-essential travel while safeguarding public health: from quarantining all travellers to restricting entry from select nations based on population-level epidemiological metrics such as cases\, deaths or testing positivity rates. Here we report the design and performance of a reinforcement learning system\, nicknamed ‘Eva’. In the summer of 2020\, Eva was deployed across all Greek borders to limit the influx of asymptomatic travellers infected with SARS-CoV-2\, and to inform border policies through real-time estimates of COVID-19 prevalence. In contrast to country-wide protocols\, Eva allocated Greece’s limited testing resources based upon incoming travellers’ demographic information and testing results from previous travellers. By comparing Eva’s performance against modelled counterfactual scenarios\, we show that Eva identified 1.85 times as many asymptomatic\, infected travellers as random surveillance testing\, with up to 2-4 times as many during peak travel\, and 1.25-1.45 times as many asymptomatic\, infected travellers as testing policies that only utilize epidemiological metrics. We demonstrate that this latter benefit arises\, at least partially\, because population-level epidemiological metrics had limited predictive value for the actual prevalence of SARS-CoV-2 among asymptomatic travellers and exhibited strong country-specific idiosyncrasies in the summer of 2020. Our results raise serious concerns on the effectiveness of country-agnostic internationally proposed border control policies that are based on population-level epidemiological metrics. Instead\, our work represents a successful example of the potential of reinforcement learning and real-time data for safeguarding public health. \nBIO: \nHamsa Bastani is an Assistant Professor of Operations\, Information\, and Decisions at the Wharton School\, University of Pennsylvania. Her research focuses on developing novel machine learning algorithms for data-driven decision-making\, with applications to healthcare operations and social good. Her work has received several recognitions\, including the Wagner Prize for Excellence in Practice (2021)\, the Pierskalla Award for the best paper in healthcare (2016\, 2019\, 2021)\, the Behavioral OM Best Paper Award (2021)\, as well as first place in the George Nicholson and MSOM student paper competitions (2016).
URL:https://seasevents.nmsdev7.com/event/asset-seminar-efficient-and-targeted-covid-19-border-testing-via-reinforcement-learning-hamsa-bastani-penn/
LOCATION:Levine 307\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="AI-enabled Systems%3A Safe%2C Explainable%2C and Trustworthy (ASSET) Center":MAILTO:asset-info@seas.upenn.edu
END:VEVENT
END:VCALENDAR