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DTSTART;TZID=America/New_York:20220214T120000
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DTSTAMP:20260406T070714
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SUMMARY:PSOC@Penn Seminar: “Dynamics of early stages of cell adhesion on fluid substrates” (Oleg Mikhajlov)
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-dynamics-of-early-stages-of-cell-adhesion-on-fluid-substrates-oleg-mikhajlov/
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:20220215T100000
DTEND;TZID=America/New_York:20220215T113000
DTSTAMP:20260406T070714
CREATED:20220204T152708Z
LAST-MODIFIED:20220204T152708Z
UID:10007064-1644919200-1644924600@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "The Unsteady Aerodynamics of Wind Power Generation"
DESCRIPTION:Wind energy plays a crucial role in clean energy generation. Currently\, horizontal axis wind turbines dominate the wind energy sector. Nevertheless\, vertical axis wind turbines (VAWTs) have some advantages over traditional horizontal axis wind turbines. However\, their performance is difficult to predict and they are prone to failure over time. This is because the axis of rotation of a VAWT is perpendicular to the wind direction\, which causes the individual blades to experience rapidly fluctuating airflows\, even when the wind direction is constant. These fluctuations can lead to unsteady flow phenomena that are not well understood. In this talk\, I will present new insights into the aerodynamics of VAWTs by elucidating the unsteady airflow over an individual turbine blade. I will discuss a flow phenomenon known as dynamic stall and its impact on VAWT performance. Because wind turbines are too large to study in a laboratory\, most experimental wind turbine research is conducted on scaled-down models\, but this typically changes the physics involved. The research I will present was conducted in a pressurized wind tunnel which allows for physically accurate downscaling of large-scale flows. The insights from this research can be used to design VAWTs with better durability and performance.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-the-unsteady-aerodynamics-of-wind-power-generation/
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:20220215T110000
DTEND;TZID=America/New_York:20220215T120000
DTSTAMP:20260406T070714
CREATED:20220208T153914Z
LAST-MODIFIED:20220208T153914Z
UID:10007074-1644922800-1644926400@seasevents.nmsdev7.com
SUMMARY:ESE Spring Colloquium - "Autonomous Microsystems Based on Heterogeneously Integrated CMOS for Biological Big Data"
DESCRIPTION:Minimally invasive and chronic physiological monitoring can provide an effective means of disease prevention and early detection while the cumulative big data can unveil hidden patterns in our physiology. Yet\, current physiological monitoring tools are often bulky\, invasive\, and expensive\, limiting their sensitivity and applicability. In this talk\, I will discuss autonomous microsystems based on heterogeneously integrated CMOS\, a platform on which ideal physiological sensors and actuators can be built. \nA micro-scale optoelectronically transduced electrode (MOTE)\, an exemplary microsystem I have designed and built for tetherless neural recording\, is powered and communicates optically through a vertically integrated AlGaAs micro-scale light emitting diode (µLED)\, eliminating the needs for a battery or a RF coil; the MOTE is smaller than a human hair (~60 µm × 30 µm × 330 µm) and weighs about one 1 µg (cf. a grain of sand is about 670 µg). I will review the unique challenges and considerations in developing such heterogeneous systems in terms of device fabrication\, circuit design\, integration\, and handling/manipulation. \nWhile the MOTE is designed for neural recording\, its design methodologies can also be used to monitor other physiological parameters such as temperature\, pH\, glucose-level\, etc. I will introduce future autonomous microsystems with expanded modalities and how to interface them with existing wearables. As such microsystems become more accessible\, the resulting biological big data will help enable personalized healthcare and produce a physiological ‘digital twin’ (like the architectural digital twins of select cities) that can add a new dimension to epidemiological and aging studies.
URL:https://seasevents.nmsdev7.com/event/ese-spring-colloquium-autonomous-microsystems-based-on-heterogeneously-integrated-cmos-for-biological-big-data/
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:20220215T153000
DTEND;TZID=America/New_York:20220215T163000
DTSTAMP:20260406T070714
CREATED:20220119T202143Z
LAST-MODIFIED:20220119T202143Z
UID:10007028-1644939000-1644942600@seasevents.nmsdev7.com
SUMMARY:Joseph Bordogna Forum: "Engineering for Everyone: Centering Diversity\, Equity\, and Inclusion"
DESCRIPTION:Please join us for this distinguished lecture given by Dr. Gilda Barabino\, President of Olin College of Engineering. \n“Engineering for Everyone: Centering Diversity\, Equity\, and Inclusion” \nAt its core\, engineering involves creative problem solving. Diverse groups of problem solvers are more likely to outperform homogeneous groups and derive the best solution. Yet\, ensuring diverse groups in engineering is compromised by the persistent underrepresentation of members of racially minoritized groups and women\, and the lack of equitable and inclusive environments to ensure their success.  Centering diversity\, equity\, and inclusion in the context of engineering for everyone has the capacity to effect meaningful change within our institutions and across higher education. This presentation will challenge assumptions\, provide frameworks\, apply inclusion lessons\, and offer strategies for the future. \nThis event will be held in a hybrid format in the Wu and Chen Auditorium in Levine Hall (3330 Walnut Street). \nDr. Barabino’s talk was recorded and is available for viewing here. \n \nDr. Gilda A. Barabino is President of Olin College of Engineering and Professor of Biomedical and Chemical Engineering. She previously served as Daniel and Frances Berg Professor and Dean at The City College of New York’s (CCNY) Grove School of Engineering. Prior to joining CCNY\, she was Associate Chair for Graduate Studies and Professor in the Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory. At Georgia Tech she also served as the inaugural Vice Provost for Academic Diversity. She is a noted investigator in the areas of sickle cell disease\, cellular and tissue engineering\, and the role of race/ethnicity and gender in science and engineering. Her many honors include an honorary degree from Xavier University of Louisiana and the Presidential Award for Excellence in Science\, Mathematics\, and Engineering Mentoring. Dr. Barabino is president-elect of the American Association for the Advancement of Science (AAAS)\, the world’s largest interdisciplinary scientific society. She is a Fellow of AAAS\, the American Institute of Chemical Engineers\, the American Institute for Medical and Biological Engineering and the Biomedical Engineering Society. She is an elected member of the National Academy of Engineering\, the National Academy of Medicine and the American Academy of Arts and Sciences.  She chairs the National Academies Committee on Women in Science\, Engineering and Medicine and serves on numerous committees of the National Academies including the Roundtable on Black Men and Black Women in Science\, Engineering and Medicine and the Health and Medicine Division Committee. She is also a member of the congressionally mandated Committee on Equal Opportunities in Science and Engineering. Dr. Barabino consults nationally and internationally on STEM education and research; diversity\, equity\, and inclusion in higher education; policy; faculty development; and workforce development. She received her B.S. degree in Chemistry from Xavier University of Louisiana and her PhD in Chemical Engineering from Rice University.
URL:https://seasevents.nmsdev7.com/event/joseph-bordogna-forum-with-dr-gilda-barabino/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Distinguished Lecture
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220215T153000
DTEND;TZID=America/New_York:20220215T163000
DTSTAMP:20260406T070714
CREATED:20220126T230231Z
LAST-MODIFIED:20220126T230231Z
UID:10007041-1644939000-1644942600@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Foundations of Cryptographic Proof Systems"
DESCRIPTION:One of computer science’s greatest insights has been in understanding the power and versatility of *proofs*\, which were revolutionized in the 1980s to utilize *interaction* as well as other resources such as randomization and computational hardness. Today\, they form the backbone of both theoretical and practical cryptography and are simultaneously the source of deep connections to areas such as complexity theory\, game theory\, and quantum computation. \nIn this talk\, I will introduce general-purpose tools\, techniques\, and abstractions for two key aspects of cryptographic proof systems that have been poorly understood for decades: \n1) Can we remove interaction from interactive proofs? Already in the 1980s\, Fiat and Shamir proposed a heuristic *but unproven* methodology for removing interaction from interactive proofs\, which is now ubiquitous and essential for practical applications. However\, it remained open for over 30 years to prove the security of this transformation in essentially any setting of interest. \nMy work on the Fiat-Shamir transform has led to resolutions to many long-standing open problems\, including (i) building non-interactive zero knowledge proof systems based on lattice cryptography\, (ii) establishing the existence of highly efficient and succinct non-interactive proof systems\, and (iii) demonstrating that foundational protocols from the 80s fail to compose in parallel. \n2) Are classical interactive protocols secure against quantum computers? At its heart\, the problem of analyzing and ruling out quantum attacks on cryptographic protocols is the issue of “rewinding.” The inability to rewind a quantum attack stems from the no-cloning theorem\, a fundamental property of quantum information. As a result\, very few classical protocols were known to be secure against quantum attacks. \nIn a recent work\, I showed how to overcome these difficulties and settle many foundational questions on post-quantum cryptographic proof systems. Our main technique is showing how to efficiently extract certain pieces of (classical) information from a quantum attacker without disturbing its internal state.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-foundations-of-cryptographic-proof-systems/
LOCATION:Room 307\, 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:20220216T110000
DTEND;TZID=America/New_York:20220216T120000
DTSTAMP:20260406T070714
CREATED:20220110T153308Z
LAST-MODIFIED:20220110T153308Z
UID:10007005-1645009200-1645012800@seasevents.nmsdev7.com
SUMMARY:CEMB Future Leaders: Richard Vincent
DESCRIPTION:Launched in May 2021\, the Future Leaders in Mechanobiology is a monthly seminar series featuring up-and-coming leaders in mechanobiology–PhD students and postdocs from a wide range of fields\, backgrounds\, and institutions. By providing an international stage to share one’s work and opportunities to interact with researchers at all career stages\, we aim to create an inclusive and valuable series for early-stage researchers and the mechanobiology community as a whole. \nRegister HERE for access to the Zoom link and visit the CEMB website for more information.
URL:https://seasevents.nmsdev7.com/event/cemb-future-leaders-richard-vincent/
LOCATION:https://upenn.zoom.us/j/96715197752
ORGANIZER;CN="Center for Engineering MechanoBiology (CEMB)":MAILTO:annjeong@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220216T150000
DTEND;TZID=America/New_York:20220216T160000
DTSTAMP:20260406T070714
CREATED:20220210T193336Z
LAST-MODIFIED:20220210T193336Z
UID:10007077-1645023600-1645027200@seasevents.nmsdev7.com
SUMMARY:Spring 2022 GRASP SFI: Johannes Betz\, University of Pennsylvania\, “Autonomous Handling at the Limits – Winning the Indy Autonomous Challenge”
DESCRIPTION:*This will be a HYBRID Event with in-person attendance in Levine 512 and Virtual attendance via Zoom \nThe rising popularity of self-driving cars has led to the creation of an additional research and development branch in the recent years: Autonomous racing. Researchers are developing algorithms and hardware for high performance race vehicles which aim to operate autonomously on the edge of the vehicles limits: High speeds\, high accelerations\, high computation power\, low reaction time\, adversarial environments. In addition\, with an increasing number of competitions in the field of autonomous racing\, researchers have the platforms to test their high performance algorithms. This talk will give an overview of the current efforts in the field\, the main research outcomes and the open challenges we can solve with the help of autonomous Racing. Especially we will focus on the Indy Autonomous Challenge and the the software setup of the TUM Autonomous Motorsports Team – the winning team of the Indy Autonomous Challenge. A detailed look into the software will show how each software module is connected and how we can achieve high speed autonomous driving on the racetrack.
URL:https://seasevents.nmsdev7.com/event/spring-2022-grasp-sfi-johannes-betz-university-of-pennsylvania-autonomous-handling-at-the-limits-winning-the-indy-autonomous-challenge/
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:20220216T153000
DTEND;TZID=America/New_York:20220216T163000
DTSTAMP:20260406T070714
CREATED:20220113T024323Z
LAST-MODIFIED:20220113T024323Z
UID:10007009-1645025400-1645029000@seasevents.nmsdev7.com
SUMMARY:CBE Seminar: “BEYOND SURFACE” Facilitates Electrocatalytic Reactions of Renewable Carbons
DESCRIPTION:Abstract \nThere has been growing interest to drive chemical reactions via the direct use of renewable electricity to address sustainability challenges. The success of the approach rests on the use of the right materials to efficiently catalyze electrochemical reactions. Thus\, there have been intense efforts to engineer catalyst materials whose surface contains the desired active sites. Despite the success\, there is still much room for improvement in the field of electrocatalysis. However\, it is not because of our limited advances in the synthesis of materials and their use as catalysts. It is because of how we typically view catalytic reactions at the solid-liquid interface that often lacks consideration of the liquid phase (e.g.\, solvent molecules\, double-layer ions). The “BEYOND SURFACE” approach that not only recognizes the presence and role of liquid phase components\, but alters their characteristics to facilitate chemical reactions will bring the necessary advances to progress beyond the performance levels achieved to date. In this talk\, two examples of the “BEYOND SURFACE” approach are presented for electrocatalytic reactions of renewable carbons\, CO2 and biomass. \nThe first example concerns the discovery of a unique interfacial configuration on the surface of colloidal nanoparticles\, that is the Nanoparticle/Ordered-Ligand Interlayer (NOLI). Its operation as a catalytic pocket for CO2 reduction by the synergistic act of the nanoparticle surface and surface ligands hovering above suggests a new route to promote reactions by tuning the electric double layer using materials. The other example presents the need for a better understanding of solvent molecule behavior at electrochemically active interfaces. During electrooxidation of biomass-derived polyols\, it is shown that the interaction between the Pt surface and surrounding water eventually leads to its surface oxidation limiting catalytic activity at fixed potential conditions. Thus\, a unique method so-called electrochemical potential cycling is devised that continuously cycles between oxidative and reductive potentials exploiting the short-lived high activity state of Pt nanoparticles otherwise difficult to maintain under typical conditions. These studies highlight the complexity of electrochemical interfaces and the potential of thinking beyond the surface for electrocatalytic reactions.
URL:https://seasevents.nmsdev7.com/event/cbe-seminar-beyond-surface-facilitates-electrocatalytic-reactions-of-renewable-carbons/
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:20220216T153000
DTEND;TZID=America/New_York:20220216T163000
DTSTAMP:20260406T070714
CREATED:20220208T212321Z
LAST-MODIFIED:20220208T212321Z
UID:10007076-1645025400-1645029000@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Principled Algorithm Design in the Era of Deep Learning"
DESCRIPTION:Deep learning has seen tremendous growth in the last decade with applications across almost all fields of science and technology. In the pursuit of making deep learning methods more efficient and adaptable\, there is an increasing need to design better algorithms and architectures. In this talk\, I will give an overview of my research efforts towards advancing the statistical and computational foundations of deep learning with the goal of designing new principled algorithms and models. I will show how techniques originally developed for classical learning theory and convex optimization can be combined and extended for the era of deep learning. I will highlight this through two main contributions: \n(1) New algorithms for training basic deep learning architectures that are simple\, computationally efficient\, and provably succeed even when the standard pipelines fail\,\n(2) A statistical characterization of state-of-the-art attention architectures\, like Transformers\, that gives new insights on their ability to capture long-range dependencies.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-principled-algorithm-design-in-the-era-of-deep-learning/
LOCATION:Room 307\, 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:20220217T100000
DTEND;TZID=America/New_York:20220217T113000
DTSTAMP:20260406T070714
CREATED:20220204T174149Z
LAST-MODIFIED:20220204T174149Z
UID:10007065-1645092000-1645097400@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Robot-assisted Imaging of Neuromuscular Function: New Insights on the Neural Substrates of Motor Control"
DESCRIPTION:Can we use robots to help humans learn a new motor skill\, or to improve performance of a motor task? What are the neural substrates that support motor learning under physical interaction with external agents such as robots? How does repeated exposure to motor training induce plasticity in brain networks? These are fundamental neuroscience questions which have special relevance in multiple domains\, such as neuromodulation\, surgical training\, and motor recovery after stroke\, spinal cord injury\, or traumatic brain injury. In this talk\, I present methods that address these questions\, combining MRI-compatible robotics with functional neuroimaging and advanced biosignal processing. I demonstrate two applications of these methods to understand the function of multiple brain areas associated with motor control and motor learning. \nOver the past few years\, my lab has developed a family of MRI-compatible robots for use with functional Magnetic Resonance Imaging to study the neural control of movements. In this talk\, I present two systems\, the MR-SoftWrist\, a wrist exoskeleton capable of force feedback designed to study neural substrates involved in the control of wrist movements during externally imposed forces\, and the MR-StretchWrist\, a wrist robot designed to elicit stretch reflexes and study their neural correlates using fMRI. These MRI-compatible robots quantify function in the cortico-thalamic-cerebellar pathway involved in learning new motor tasks and quantify function in secondary motor pathways such as the reticulospinal tract involved in fast feedback responses. I detail how MRI-compatible robots and fMRI were combined to measure neural function associated with long-latency responses and to map the somatotopic organization of these responses of flexor and extensor muscles in the brainstem. Together\, these tools demonstrate how robotics\, functional imaging and neuroscience can be joined across disciplines to understand and perhaps eventually guide both normal function and the nervous system’s response to injury\, disease\, devices and rehabilitation.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-robot-assisted-imaging-of-neuromuscular-function-new-insights-on-the-neural-substrates-of-motor-control/
LOCATION:Glandt Forum\, Singh Center for Nanotechnology\, 3205 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220217T110000
DTEND;TZID=America/New_York:20220217T120000
DTSTAMP:20260406T070714
CREATED:20220207T154154Z
LAST-MODIFIED:20220207T154154Z
UID:10007071-1645095600-1645099200@seasevents.nmsdev7.com
SUMMARY:ESE Spring Colloquium - "Certifiable Outlier-Robust Geometric Perception: Robots that See through the Clutter with Confidence"
DESCRIPTION:Geometric perception is the task of estimating geometric models (e.g.\, object pose and 3D structure) from sensor measurements and priors (e.g.\, point clouds and neural network detections). Geometric perception is a fundamental building block for robotics applications ranging from intelligent transportation to space autonomy. The ubiquitous existence of outliers —measurements that tell no or little information about the models to be estimated— makes it theoretically intractable to perform estimation with guaranteed optimality. Despite this theoretical intractability\, safety-critical robotics applications still demand trustworthiness and performance guarantees on perception algorithms. In this talk\, I present certifiable outlier-robust geometric perception\, a new paradigm to design tractable algorithms that enjoy rigorous performance guarantees\, i.e.\, they return an optimal estimate with a certificate of optimality for a majority of problem instances\, but declare failure and provide a measure of suboptimality for worst-case instances. Particularly\, I present two general-purpose algorithms in the certifiable perception toolbox: (i) an estimator that uses graph theory to prune gross outliers and leverages graduated non-convexity to compute the optimal model estimate with high probability of success\, and (ii) a certifier that employs sparse semidefinite programming (SDP) relaxation and a novel SDP solver to endow the estimator with an optimality certificate or escape local minima otherwise. The estimator is fast and robust against up to 99% random outliers in practical perception applications\, and the certifier can compute high-accuracy optimality certificates for large-scale problems beyond the reach of existing SDP solvers. I showcase certifiable outlier-robust perception on robotics applications such as scan matching\, satellite pose estimation\, and vehicle pose and shape estimation. I conclude by remarking three opportunities arising from certifiable perception: to speedup online global optimization by offline learning from data; to enable safe learning-based perception by bridging certifiable estimation with deep representation learning; and to couple and unify perception with action towards trustworthy autonomy.
URL:https://seasevents.nmsdev7.com/event/ese-spring-colloquium-certifiable-outlier-robust-geometric-perception-robots-that-see-through-the-clutter-with-confidence/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar,Colloquium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220217T153000
DTEND;TZID=America/New_York:20220217T163000
DTSTAMP:20260406T070714
CREATED:20220131T145540Z
LAST-MODIFIED:20220131T145540Z
UID:10007053-1645111800-1645115400@seasevents.nmsdev7.com
SUMMARY:BE Seminar: "End-to-End Precision Medicine: Personalized Sensing\, Targeted Diagnostics\, and Therapeutic Discovery" (Ava Soleimany)
DESCRIPTION:This seminar will be held live and broadcast on zoom – check email for zoom link or contact ksas@seas.upenn.edu. \nPrecision medicine envisions a world where diagnostic and therapeutic opportunities are intelligently tailored to individual patient needs. Achieving this vision necessitates access to high quality\, accurate\, and individualized information about disease state. Engineered probes that sense disease activity — dynamically and directly within the body — could provide this information by generating signals that functionally measure the state of one’s disease. \nIn this talk\, I will discuss my work in engineering a novel class of nanoscale sensors that directly query disease microenvironments by measuring the activity of proteases\, enzymes directly involved in many diseases including cancer. I will share how we can leverage the rich\, functional data generated by these sensors to design and deploy novel\, expressive\, and high-fidelity machine learning models to power individualized diagnostic decision-making. Finally\, I show how we can close the precision medicine loop to advance new treatment strategies\, through the design of a novel algorithm for guided and robust therapeutic discovery. Together\, this talk will present a new paradigm for creating translational engineering and algorithmic advances across all stages of personalized disease management: from functional understanding of biological mechanisms\, to early disease interception\, to intelligent data-driven treatment design.
URL:https://seasevents.nmsdev7.com/event/be-seminar-ava-soleimany/
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:20220217T153000
DTEND;TZID=America/New_York:20220217T163000
DTSTAMP:20260406T070714
CREATED:20220131T210915Z
LAST-MODIFIED:20220131T210915Z
UID:10007060-1645111800-1645115400@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Learning-Based Program Synthesis: Learning for Program Synthesis and Program Synthesis for Learning"
DESCRIPTION:With the advancement of modern technologies\, programming becomes ubiquitous not only among professional software developers\, but also for general computer users. However\, gaining programming expertise is time-consuming and challenging. Therefore\, program synthesis has many applications\, where the computer automatically synthesizes programs from specifications such as natural language descriptions and input-output examples. In this talk\, I will present my work on learning-based program synthesis\, where I have developed deep learning techniques for various program synthesis problems. Despite the remarkable success of deep neural networks for many domains\, including natural language processing and computer vision\, existing deep neural networks are still insufficient for handling challenging symbolic reasoning and generalization problems. \nMy learning-based program synthesis research lies in two folds: (1) learning to synthesize programs from potentially ambiguous and complex specifications; and (2) neural-symbolic learning for language understanding. I will first talk about program synthesis applications\, where my work demonstrates the applicability of learning-based program synthesizers for production usage. I will then present my work on neural-symbolic frameworks that integrate symbolic components into neural networks\, which achieve better reasoning and generalization capabilities. In closing\, I will discuss the challenges and opportunities of further improving the complexity and generalizability of learning-based program synthesis for future work.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-learning-based-program-synthesis-learning-for-program-synthesis-and-program-synthesis-for-learning/
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:20220218T103000
DTEND;TZID=America/New_York:20220218T114500
DTSTAMP:20260406T070714
CREATED:20220124T151125Z
LAST-MODIFIED:20220124T151125Z
UID:10007034-1645180200-1645184700@seasevents.nmsdev7.com
SUMMARY:GRASP on Robotics: Volkan Isler\, University of Minnesota\, “From Surveying Farms to Tidying our Homes with Robots”
DESCRIPTION:For decades\, the robotics community has been working on developing intelligent autonomous machines that can perform complex tasks in unstructured environments. We are now closer than ever to delivering on this promise. Robotic systems are being developed\, tested and deployed for a wide range of applications. In this talk\, I will present our work on building robots for agriculture and home automation which are two application domains with distinct sets of associated challenges. In agriculture\, robots must be capable of operating on very large farms under rough conditions while maintaining precision to efficiently perform tasks such as yield mapping\, fruit picking and weeding. In these applications\, the state of the art perception algorithms are capable of generating intermediate geometric representations of the environment. However\, the resulting planning problems are often hard. I will present some of our work on tracking and mapping and give examples of field deployments. In home automation\, the robots must be able to handle a large variety of objects and clutter. In such settings\, generating precise geometric models as intermediate representations is not always possible. To address this challenge\, I will present our recent and ongoing work on developing state representations for coupled perception and action planning for representative home automation applications such as decluttering.
URL:https://seasevents.nmsdev7.com/event/grasp-on-robotics-from-surveying-farms-to-tidying-our-homes-with-robots/
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
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