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DTSTART;TZID=America/New_York:20200210T120000
DTEND;TZID=America/New_York:20200210T130000
DTSTAMP:20260408T172527
CREATED:20200109T172158Z
LAST-MODIFIED:20200109T172158Z
UID:10006369-1581336000-1581339600@seasevents.nmsdev7.com
SUMMARY:PSOC Seminar : “ Programming bacteria as a cancer therapy”
DESCRIPTION:
URL:https://seasevents.nmsdev7.com/event/psoc-seminar-programming-bacteria-as-a-cancer-therapy/
LOCATION:Room 337\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="PSOC":MAILTO:manu@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200210T150000
DTEND;TZID=America/New_York:20200210T160000
DTSTAMP:20260408T172527
CREATED:20191220T195149Z
LAST-MODIFIED:20191220T195149Z
UID:10006358-1581346800-1581350400@seasevents.nmsdev7.com
SUMMARY:CBE Faculty Candidate Seminar: "Facilitating Chemical Process Development Using Theoretical Modeling and Machine Learning"
DESCRIPTION:Abstract: \nComputational modeling is an important tool to aid chemical process development. Theoretical and data-driven models can be applied both for the optimization of specific processes\, and for the initial screening of potential process chemistries. I will talk about my research in advancing both of these areas. First\, I will introduce the development of an efficient kinetic Monte Carlo simulation to facilitate property optimization of polymer materials. The algorithm predicts the explicit sequence distribution of the polymer chains and can be used to design reaction recipe for desired molecular weight and sequence properties of synthetic polymers. Second\, I will discuss the use of machine learning in the context of organic synthesis planning. Specifically\, I developed an algorithm capable of efficiently and accurately recommending reaction conditions\, including catalysts\, solvents\, reagents and temperature\, for organic synthesis development. I will also demonstrate how we can leverage this information to optimize synthesis plans for individual molecules or molecular libraries.
URL:https://seasevents.nmsdev7.com/event/cbe-seminar-facilitating-chemical-process-development-using-theoretical-modeling-and-machine-learning/
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:20200211T103000
DTEND;TZID=America/New_York:20200211T120000
DTSTAMP:20260408T172527
CREATED:20200108T213156Z
LAST-MODIFIED:20200108T213156Z
UID:10006362-1581417000-1581422400@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Recent Evolution of Climate Science: From Greenhouse Gases and Temperature to Aerosol Particles and Precipitation"
DESCRIPTION:On the eve of the Intergovermental Panel on Climate Change (IPCC) Sixth Assessment Report\, I will present a brief overview of how climate science has evolved since the publication of the Charney Report in 1979\, and use a few examples from my recent work to show how one can use numerical models\, observations and theories to advance the fundamental understanding of Earth’s climate system.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-recent-evolution-of-climate-science-from-greenhouse-gases-and-temperature-to-aerosol-particles-and-precipitation/
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:20200211T110000
DTEND;TZID=America/New_York:20200211T120000
DTSTAMP:20260408T172527
CREATED:20200206T180607Z
LAST-MODIFIED:20200206T180607Z
UID:10006400-1581418800-1581422400@seasevents.nmsdev7.com
SUMMARY:ESE Seminar: "Large-Scale Quantum Photonic Processors"
DESCRIPTION:Abstract\nPhotons play a central role in many areas of quantum information science\, either as qubit themselves or to mediate interactions between long-lived matter based qubits. Techniques for (1) high-fidelity generation\, (2) precise manipulation and (3) ultra-efficient detection of quantum states of light are therefore a prerequisite for virtually all quantum technologies. A quantum photonic processor is the union of these three core technologies into a single system\, and\, bolstered by advances in integrated photonics\, promises to be a versatile platform for quantum information science. In this talk we present recent progress towards large-scale quantum photonic processors and demonstrate how such systems enable new applications at the nexus of quantum mechanics and machine learning.
URL:https://seasevents.nmsdev7.com/event/ese-seminar-large-scale-quantum-photonic-processors/
LOCATION:Room 337\, 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:20200211T150000
DTEND;TZID=America/New_York:20200211T160000
DTSTAMP:20260408T172527
CREATED:20200205T174219Z
LAST-MODIFIED:20200205T174219Z
UID:10006399-1581433200-1581436800@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: Rethinking Operating System and Hardware Abstractions for Good and Evil
DESCRIPTION:Abstract:\n\nCurrent hardware and operating system abstractions were conceived at a time when we had minimal security threats\, scarce compute and memory resources\, and limited numbers of users. These assumptions are not true today. On one hand\, attacks such as Spectre and Meltdown have shown that current hardware is plagued by vulnerabilities. On the other hand\, new emerging cloud paradigms like microservices and serverless computing have led to the sharing of computing resources among hundreds of users at a time. In this new era of computing\, we can no longer afford to build each layer separately. Instead\, we have to rethink the synergy between the operating system and hardware from the ground up.\n\nIn this talk\, I will focus on rethinking the virtual memory abstraction. First\, I will introduce Microarchitectural Replay Attacks\, a novel family of side-channel attacks that exploit existing virtual memory mechanisms. These attacks leverage the fact that\, in modern out-of-order processors\, a single dynamic instruction can be forced to execute many times. Then\, I will describe Elastic Cuckoo Page Tables\, my proposal to rebuild the virtual memory abstraction for parallelism. Finally\, I will conclude by describing ongoing and future directions towards redesigning the hardware and the operating system layers.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-rethinking-operating-system-and-hardware-abstractions-for-good-and-evil/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Colloquium
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200212T150000
DTEND;TZID=America/New_York:20200212T160000
DTSTAMP:20260408T172527
CREATED:20191219T202706Z
LAST-MODIFIED:20191219T202706Z
UID:10006352-1581519600-1581523200@seasevents.nmsdev7.com
SUMMARY:CBE Seminar: "A Case for Carbon Dioxide Removal from Air"
DESCRIPTION:Abstract: \nAs a global society\, we have been burning fossil fuels to meet our energy and transportation needs since the start of the industrial revolution. This has resulted in atmospheric CO2 concentrations much greater than at any other time during the last 650\,000 years. That concentration reached a record 415 parts per million in May 2019. The replacement of fossil fuels with renewables\, advances in energy efficiency\, and carbon capture and storage are among the key strategies required to prevent warming beyond 2°C within this century. But they will not be enough. We need to ramp up our efforts in reducing CO2 emissions\, and then we need to do even more. The Earth’s natural systems\, such as forests and oceans\, are capable of removing roughly half of global CO2 emissions each year\, while the rest steadily accumulates in the atmosphere. Until now\, our best approach to avoiding the worst impacts of climate change was simply to avoid such emissions in the first place. But because of our failure to act quickly and at a large enough scale\, we are now faced with the need to go beyond that strategy—to actually start removing CO2 directly from the air. Trees and oceans already do this\, but these systems are overwhelmed. Manufactured or synthetic removal systems are designed to pull CO2 from the atmosphere\, and at a much faster rate than natural systems. This talk will review both the promise and pitfalls of this approach.
URL:https://seasevents.nmsdev7.com/event/cbe-seminar-a-case-for-carbon-dioxide-removal-from-air/
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:20200213T104500
DTEND;TZID=America/New_York:20200213T114500
DTSTAMP:20260408T172527
CREATED:20200207T155517Z
LAST-MODIFIED:20200207T155517Z
UID:10006402-1581590700-1581594300@seasevents.nmsdev7.com
SUMMARY:MSE Faculty Candidate Seminar: “Engineering non-equilibrium structure and functionality in complex solids”
DESCRIPTION:Unique macroscopic phenomena\, such as high-temperature superconductivity and colossal magnetoresistance\, emerge in many complex solids due to the interplay between their electronic\, magnetic\, and structural degrees of freedom. This interplay also results in properties that can be tuned by manipulating their atomic structure and symmetry. In this talk\, Dr. Disa will discuss two complementary “non-equilibrium” pathways for inducing and influencing functionalities of complex oxides: atomic layer engineering and optical lattice control. \nFirst\, Dr. Disa will describe the control of electronic structure and transport properties of complex oxides through atomically-precise control of dimensionality and interfacial structure using molecular beam epitaxy. Specifically\, he will show how picoscale engineering of atomic distortions is used to design the conductivity and the orbital configuration in rare-earth nickelates. Second\, he will show that resonantly driving optical phonons with terahertz-frequency pulses allows one to engineer structural distortions dynamically\, thus providing a pathway to control electronic and magnetic behavior on ultrafast time scales and even beyond statically possible. Dr. Disa will focus on a recent experiment demonstrating the formation of a metastable ferroelectric state in the common substrate material SrTiO3\, which has a polarization that persists for hours after the optical excitation. \nThese approaches can work in tandem to enable the rational design of non-equilibrium functional properties in complex solids\, which can be exploited for novel\, high-speed optoelectronic and optomagnetic technologies.
URL:https://seasevents.nmsdev7.com/event/mse-faculty-candidate-seminar-engineering-non-equilibrium-structure-and-functionality-in-complex-solids/
LOCATION:Auditorium\, LRSM Building\, 3231 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200213T110000
DTEND;TZID=America/New_York:20200213T120000
DTSTAMP:20260408T172527
CREATED:20200206T221336Z
LAST-MODIFIED:20200206T221336Z
UID:10006401-1581591600-1581595200@seasevents.nmsdev7.com
SUMMARY:ESE Seminar: "Adapting black-box machine learning methods for causal inference"
DESCRIPTION:Abstract: I’ll discuss the use of observational data to estimate the causal effect of a treatment on an outcome. This task is complicated by the presence of ‘confounders’ that influence both treatment and outcome\, inducing observed associations that are not causal. Causal estimation is achieved by adjusting for this confounding by using observed covariate information. I’ll discuss the case where we observe covariates that carry sufficient information for the adjustment\, but where explicit models relating treatment\, outcome\, covariates\, and confounding are not available. For example\, in medical data the covariates might consist of a large number of convenience health measurements of which only an unknown subset are relevant\, and even then in some totally unknown manner. Or\, the covariates might be a passage of (natural language) text that describes the relevant information. I’ll describe an approach that adapts deep learning and embedding methods to produce representations of the covariate information targeted toward the causal adjustment problem. In particular\, I’ll describe how to modify standard architectures and training objectives to achieve statistically efficient and practically useful causal estimates.
URL:https://seasevents.nmsdev7.com/event/ese-seminar-adapting-black-box-machine-learning-methods-for-causal-inference/
LOCATION:Room 337\, 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:20200213T120000
DTEND;TZID=America/New_York:20200213T130000
DTSTAMP:20260408T172527
CREATED:20200109T164002Z
LAST-MODIFIED:20200109T164002Z
UID:10006368-1581595200-1581598800@seasevents.nmsdev7.com
SUMMARY:BE Seminar: "Repurposing bacterial two-component systems as sensors for synthetic biology applications "
DESCRIPTION:Two-component systems (TCSs) are the largest family of signal transduction pathways in biology\, and a treasure trove of biosensors for engineering applications. Though present in plants and other eukaryotes\, TCSs are ubiquitous in bacteria. Bacteria use TCSs to sense everything from metal ions to carbohydrates and light\, and activate responses such as biofilm formation\, antibiotic-resistance\, and virulence. Despite their importance\, the vast majority of TCSs remain uncharacterized. The major challenges are that most bacteria cannot be cultured nor genetically manipulated in the laboratory\, and that many TCSs are silenced by poorly-understood gene regulatory networks in laboratory conditions. We have recently developed synthetic biology technologies to address these challenges. In particular\, we have developed dual inducible promoter systems that allow us simultaneously express both TCS proteins to optimal levels in the model Gram-negative and Gram-positive bacteria E. coli and B. subtilis. In addition\, we have developed a method to modularly interchange the DNA-binding domains of response regulator proteins\, enabling unknown or silent TCS output promoters to be replaced with well-characterized alternatives. Finally\, we have developed a method to rationally tune the amount of input signal required to activate a TCS over several orders of magnitude by introducing mutations that specifically alter the intrinsic phosphatase activity of the sensor histidine kinase protein. Using these methods\, we have repurposed cyanobacterial TCSs to function as optogenetic tools with wavelength specificities from the ultraviolet (380 nm) to the near infrared (770 nm)\, engineered gut bacteria that diagnose colon inflammation in mice\, and discovered a novel pH-sensing TCS in the genome of Yersinia pestis\, the causative agent of bubonic plague. Additionally\, we have constructed a library of >500 uncharacterized TCSs from the human gut microbiome\, which we are screening for novel sensors of gut metabolites and diseases in humans. Finally\, we are using our methods to develop new anti-virulence compounds that inhibit TCSs that regulate pathogenesis in major human pathogens. Our work is accelerating fundamental microbiological discoveries and has broad applications in synthetic biology.
URL:https://seasevents.nmsdev7.com/event/be-seminar-title-tbc-4/
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:20200213T150000
DTEND;TZID=America/New_York:20200213T160000
DTSTAMP:20260408T172527
CREATED:20200211T212333Z
LAST-MODIFIED:20200211T212333Z
UID:10006406-1581606000-1581609600@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: “User Generated Content: Opportunities to Inform Healthcare”
DESCRIPTION:Abstract \nWhen individuals post to social media or use wearable devices\, data generated through these everyday interactions with technology reveal a great deal about behaviors that influence health in ways that were previously not observable. In my work\, I seek to leverage this data to characterize and measure the naturalistic manifestations a.k.a digital phenotyping of mental and physical health. \nIn this talk\, we will look at a) uncovering linguistic markers of ADHD using self-declared statuses on Twitter\, b) scaling language-based user-level questionnaire-estimated psychological stress predictions to communities\, and c) forecasting healthcare utilization as documented in the medical records of a sample of patients using their Facebook posts. Across these studies\, I argue that user generated data is a source of collateral information that can augment clinical practice and potentially guide interventions.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-user-generated-content-opportunities-to-inform-healthcare/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200218T103000
DTEND;TZID=America/New_York:20200218T120000
DTSTAMP:20260408T172527
CREATED:20200108T214119Z
LAST-MODIFIED:20200108T214119Z
UID:10006363-1582021800-1582027200@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Cell Polarization and Growth"
DESCRIPTION:Polarization is an essential behavior of living cells\, yet the dynamics of this symmetry-breaking process are not fully understood. We have developed a spatial stochastic model of cellular polarization during mating of Saccharomyces cerevisiae. Specifically we investigated the ability of yeast cells to sense a spatial gradient of mating pheromone and respond by forming a projection in the direction of the mating partner. Our results demonstrate that a spatial stochastic model of polarisome formation can more robustly reproduce two fundamental characteristics observed in wild-type cells: a tightly polarized phenotype and the ability to track moving pheromone input\, in comparison with the corresponding deterministic model. \nExisting models of cell polarization have focused solely on the biochemical signaling system. However\, there exists a well-known interplay between the growth of the mating projection and the mechanical forces of the cell wall in determining the shape of the cell. The cell wall of S. cerevisiae both defines its shape and provides the mechanical integrity necessary to sustain the large internal turgor pressure. Under the isotropic push of turgor pressure\, polarized expansion occurs via localized assembly of new cell wall material in combination with a simultaneous softening of the cell wall\, inducing it to yield and locally expand. Intracellular signaling directs enzymes with the ability to modify cross-linking of polymers in the cell wall to the region of polarization. The resulting mechanical feedback from the wall expansion initiates the delivery of raw material via vesicular transport. \nTo accurately model this complex biological phenomena\, we have developed a multiscale computational framework for simulating the coupling of the stochastic dynamics of biochemical reactions involved in shaping walled cells to the mechanical processes of cell wall expansion and growth. Our computational method exploits the time-scale separation between the relatively slow dynamics of the cell wall and the rapid interactions of the intercellular signaling network.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-cell-polarization-and-growth/
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:20200218T110000
DTEND;TZID=America/New_York:20200218T120000
DTSTAMP:20260408T172527
CREATED:20200207T164134Z
LAST-MODIFIED:20200207T164134Z
UID:10006403-1582023600-1582027200@seasevents.nmsdev7.com
SUMMARY:ESE Seminar: "Nanophotonics: A High Bandwidth Optical Neural Interface"
DESCRIPTION:Abstract\nLight is a powerful tool for interrogating and manipulating biological systems\, enabling targeted\nstimulation\, sensing\, and imaging. Optical methods such as optogenetics have transformed the study of\nneural circuits by making it possible to control neural activity using light. However\, there remains a critical\ndemand in research and medicine for miniaturized high resolution optical tools that can be embedded\ndeep within biological systems like the brain. The brain poses particular challenges due to the sheer\nnumber of densely packed interconnected neurons and the strong tissue scattering and absorption of\nlight. Nanophotonics\, or chip-scale optical circuits\, can enable unprecedented spatiotemporal resolution\nby leveraging nanoscale coherent control of a large set of optical channels within subwavelength\nwaveguides with high speed reconfiguration capability\, potential for integration with electronics\, and low-\ncost scalable manufacturability. This potential high bandwidth optical neural interface can be as thin as a\nfew neurons and have the ability to test spatial\, temporal\, and cell-type-specific aspects of neural\nencoding from cellular to system level within the brain. \nI will present the first implantable nanophotonic probe for optogenetic stimulation and recording of\nneurons in live mice. To achieve this\, we developed a reconfigurable visible nanophotonic platform based\non phase-controlled silicon nitride interferometric waveguide structures that can control cellular-sized\ncoherent emitters at blue wavelengths (peak of optogenetic actuators)\, far from traditional infrared\nwavelengths. This enabled a neural interface that can generate and read multi-neuron spike patterns\ndeep within the brain with single-cell and sub-millisecond resolution\, the highest resolution\nneuromodulation shown with an implantable probe. \nIn addition\, I will highlight two building blocks for future nanophotonic stimulation and sensing\ndevices that I developed using this platform: wide-angle chip-scale visible beam steering and multiplexing\nwithin a single waveguide by utilizing the transverse spatial degree-of-freedom of light. I will show how\nprecise phase control and novel nanoscale photonic design of these building blocks has been applied to\nemerging high bandwidth optical applications like portable display technology and quantum optical\nsystems. Finally\, I will present a future outlook towards a new generation of implantable and wearable\nbiomedical devices based on nanophotonic 3D light projection and sensing techniques including high-\ndimensional multiplexing\, volumetric beam shaping\, and quantum sensing.
URL:https://seasevents.nmsdev7.com/event/ese-seminar-nanophotonics-a-high-bandwidth-optical-neural-interface/
LOCATION:Room 337\, 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:20200218T150000
DTEND;TZID=America/New_York:20200218T160000
DTSTAMP:20260408T172527
CREATED:20200130T155107Z
LAST-MODIFIED:20200130T155107Z
UID:10006394-1582038000-1582041600@seasevents.nmsdev7.com
SUMMARY:Technology\, Business and Government Lecture Series: Aerospace Prizes Inspire the Five I's of Success
DESCRIPTION:The United States’ future economic growth and competitiveness depend on our capacity to inno­vate. Americans believe that it is possible to create jobs in the aerospace and defense industry by doing what the United States does well\, which is cultivating the creativity and innovative processes developed by its people. Innovation and entrepreneurship in the aerospace and defense industries have historically kept the US at the forefront of technology advances\, which has spurred economic growth\, and created entirely new industries such as commercial transportation of cargo and humans\, uninhabited aerial systems for civilian and military missions\, and more recently private commercial space.  Where would we be without aviation pioneers and innovators such as Amelia Earhart\, Glenn L. Martin\, William Boeing\, Charles Lindbergh\, Igor Sikorsky and Elon Musk?  A key catalyst that inspires innovation and entrepreneurship in the aerospace field has been the establishment of aerospace prizes and competitions to accelerate the five I’s:  imagination\, invention\, innovation\, investment\, and impact.  This presentation details three aerospace prizes that not only advanced technology in the aerospace field\, but also spurred significant job growth and economic development in the United States.  More importantly\, these prizes often attracted a new generation of students and technology innovators to the field with the hope of becoming the first to win a prize\, while making a significant contribution to the aerospace field and to society. \nThis lecture is part of Penn Engineering’s Technology\, Business\, and Government Lecture Series. Recognizing an increasingly significant inter-relationship between the rapid growth of new technologies and the business and governmental sectors\, the Technology\, Business and Government Lecture Series brings distinguished individuals to Penn Engineering to interact with students and faculty on broad issues affecting technology and science\, research and policy. \n 
URL:https://seasevents.nmsdev7.com/event/technology-business-and-government-lecture-series-darryll-j-pines/
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:20200219T133000
DTEND;TZID=America/New_York:20200219T143000
DTSTAMP:20260408T172527
CREATED:20200211T213758Z
LAST-MODIFIED:20200211T213758Z
UID:10006407-1582119000-1582122600@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: One Size Doesn’t Fit Anyone: Tailoring Digital Tools for Personal Health Journeys
DESCRIPTION:Abstract \nPersonal technologies for everyday health management have the potential to transform healthcare by\nempowering individuals to engage in their own care\, scaffolding access to critical information\, and\nsupporting patient-centered decision-making. Currently\, many personal health tools often focus only on a\nsingle task or isolated event. However\, chronic illnesses are characterized by information needs and\nchallenges that shift over time; thus\, these illnesses are better defined as a dynamic trajectory than a series\nof singular events.\nIn this talk\, I discuss my work designing and implementing novel computing systems that: 1) support\nchronic illness trajectories and 2) reduce patients’ barriers to health information access. I’ll present my\napproach using personalized and adaptive content to connect individuals with timely and actionable\nfeedback. Using results from longitudinal field deployments\, I demonstrate the ability for these tools to\nfacilitate patients’ proactive health management and engagement in their care. I’ll also discuss the utility\nof this approach for encouraging to long-term engagement with health tools\, as evidenced by longitudinal\nusage patterns. I’ll conclude with opportunities for using personalization as a strategy to support other\ncomplex information tasks\, including the health management of illness trajectories in which uncertainty is\nparamount and the integration of machine learning models into clinical workflows.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-one-size-doesnt-fit-anyone-tailoring-digital-tools-for-personal-health-journeys/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200219T150000
DTEND;TZID=America/New_York:20200219T160000
DTSTAMP:20260408T172527
CREATED:20191219T203405Z
LAST-MODIFIED:20191219T203405Z
UID:10006353-1582124400-1582128000@seasevents.nmsdev7.com
SUMMARY:CBE Faculty Candidate Seminar: Decomposition: Exploiting Structure in Chemical Systems to Solve Challenging Decision-Making Problems"
DESCRIPTION:Abstract: \nComputational optimal decision-making tools are essential for ensuring that systems are designed\, operated\, and controlled in an economic and sustainable manner. Using optimization to make decisions for chemical and energy systems is particularly challenging due to the inherent presence of nonlinear process physics\, both integer and continuous decisions\, uncertainties in important parameters\, and multiple relevant time scales. This talk addresses the method of decomposition\, which solves large\, computationally challenging decision-making problems through a set of smaller\, easier-to-solve subproblems. The ﬁrst half of this talk addresses the problem of identifying smaller subproblems that make the large problem easy to solve. An algorithmic framework for automatically doing so using community detection\, a concept from network theory\, is presented. The superiority of using community-based decompositions to solve optimization problems\, compared to other intuition-based decompositions\, is showcased through an optimal model predictive control case study. The ability of the algorithm to identify subproblems when an intuitive decomposition does not exist is also demonstrated. The second part of the talk addresses the challenge of coordinating subproblems to arrive at a solution of the original problem. Here\, a branch-and-price algorithm which can solve certain classes of nonconvex mixed integer nonlinear programs (the most challenging type of optimization problem to solve) to global optimality is presented. The applicability of this algorithm to many problems of chemical engineering interest\, including process design under uncertainty\, multiperiod capacity planning\, dynamic facility location\, and task assignment to process units\, is demonstrated.
URL:https://seasevents.nmsdev7.com/event/cbe-seminar-decomposition-exploiting-structure-in-chemical-systems-to-solve-challenging-decision-making-problems/
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:20200219T163000
DTEND;TZID=America/New_York:20200219T173000
DTSTAMP:20260408T172527
CREATED:20200129T192922Z
LAST-MODIFIED:20200129T192922Z
UID:10006393-1582129800-1582133400@seasevents.nmsdev7.com
SUMMARY:The Joy of Being Faculty PT II: How I Devised My Research Program
DESCRIPTION:This professional development workshop series is designed to provide Penn Engineering graduate students and postdocs with a richer understanding of what it is like to pursue a career in academia from those that have navigated the process successfully. Deputy Dean Kathleen J. Stebe (SEAS) will lead this extemporaneous discussion with a panel of Penn Engineering professors. Networking reception to follow.
URL:https://seasevents.nmsdev7.com/event/the-joy-of-being-faculty-pt-ii-how-i-devised-my-research-program/
LOCATION:Glandt Forum\, Singh Center for Nanotechnology\, 3205 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Doctoral,Graduate,Panel Discussion,Postdoctoral
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200220T104500
DTEND;TZID=America/New_York:20200220T114500
DTSTAMP:20260408T172527
CREATED:20200214T172446Z
LAST-MODIFIED:20200214T172446Z
UID:10006409-1582195500-1582199100@seasevents.nmsdev7.com
SUMMARY:MSE Faculty Candidate Seminar: "Uncovering atomistic mechanisms of crystallization using Machine Learning"
DESCRIPTION:Solid-liquid interfaces have notoriously haphazard atomic environments. While essentially amorphous\, the liquid has short-range order and heterogeneous dynamics. The crystal\, albeit ordered\, contains a plethora of defects ranging from adatoms to dislocation-created spiral steps. All these elements are of paramount importance in the crystal growth process\, which makes the crystallization kinetics challenging to describe concisely in a single framework. In this seminar I will introduce a novel data-driven approach to systematically detect\, encode\, and classify all atomic-scale crystallization mechanisms described above. I will also show how this approach naturally leads to a predictive kinetic model of crystallization that takes into account the entire zoo of microstructural elements present at solid-liquid interfaces. In this innovative application of data science to materials Machine Learning is employed as an aid to augment human intuition\, rather than a substitute thereof. The result is an approach that blends prevailing scientific methods with data-science tools to produce physically-consistent models and conceptual knowledge.
URL:https://seasevents.nmsdev7.com/event/mse-faculty-candidate-seminar-uncovering-atomistic-mechanisms-of-crystallization-using-machine-learning/
LOCATION:Auditorium\, LRSM Building\, 3231 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200221T140000
DTEND;TZID=America/New_York:20200221T150000
DTSTAMP:20260408T172527
CREATED:20200114T163710Z
LAST-MODIFIED:20200114T163710Z
UID:10006380-1582293600-1582297200@seasevents.nmsdev7.com
SUMMARY:PICS Seminar with Sam Schoenholz of Google Brain
DESCRIPTION:
URL:https://seasevents.nmsdev7.com/event/pics-seminar-with-sam-schoenholz-of-google-brain/
LOCATION:PICS Conference Room 534 – A Wing \, 5th Floor\, 3401 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar,Colloquium
ORGANIZER;CN="Penn Institute for Computational Science (PICS)":MAILTO:dkparks@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200224T150000
DTEND;TZID=America/New_York:20200224T160000
DTSTAMP:20260408T172527
CREATED:20200128T150548Z
LAST-MODIFIED:20200128T150548Z
UID:10006391-1582556400-1582560000@seasevents.nmsdev7.com
SUMMARY:CBE Faculty Candidate Seminar: Towards a "Greener" Route for Acetic Acid Production via the Carbonylation of Dimethyl Ether Over Small-Pore Molecular Sieves
DESCRIPTION:Abstract: \nCatalyst design is a critical pillar\, and current bottleneck\, in the construction of a sustainable chemical industry. Practical catalytic materials are earth-abundant\, active\, selective\, and stable. Developing materials that meet these criteria is challenging and involves a two-phase process that (1) extracts molecular-level understanding of the origin of reactivity for a given chemical pathway\, and (2) exploits this understanding through tailored synthetic techniques. \nIn this talk\, I will focus on catalyst design for the Koch-type carbonylation pathway\, a reaction that is of practical interest since it provides a rare noble metal- and halide-free route to producing an important chemical intermediate\, acetic acid. I will present the characterization of the reactivity of the small-pore molecular sieve with the chabazite structure for this reaction. From the analysis of materials synthesized with different active site densities and strengths\, in conjunction with theoretical investigations\, we obtain fundamental insights into the descriptors of reactivity for the carbonylation reaction in this small-pore material. These insights\, in turn\, can be used to intelligently direct the investigation of other small-pore molecular sieves with tuned confining environments and chemical compositions\, and motivate the development of synthetic techniques that control active site distributions in a broader range of solid materials. Collectively\, our studies provide a successful example of the first step in the process of tailoring catalytic materials for new applications through rational design methods.
URL:https://seasevents.nmsdev7.com/event/cbe-faculty-candidate-seminar-towards-a-greener-route-for-acetic-acid-production-via-the-carbonylation-of-dimethyl-ether-over-small-pore-molecular-sieves/
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:20200225T103000
DTEND;TZID=America/New_York:20200225T120000
DTSTAMP:20260408T172527
CREATED:20200108T214751Z
LAST-MODIFIED:20200108T214751Z
UID:10006364-1582626600-1582632000@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Robot Design Concepts for Intuitive Physical Human-Robot Interaction"
DESCRIPTION:Physical human-robot interaction (pHRI) aims at taking advantage of the complementary capabilities of robots and humans. One of the key challenges in pHRI is to provide a high-bandwidth human-robot interaction that is safe and intuitive for the human user. To this end\, it is proposed in this work to revisit the design of robots in order to provide a low-impedance mechanical interaction. The concept of macro-mini robotic system is used and applied to interactive robotic devices. Also\, the design of backdrivable redundant parallel robots is considered. In this concept\, parallel robots are used to provide backdrivability while kinematic redundancy is introduced to increase the rotational workspace of parallel mechanisms\, by alleviating the singularities. Solutions based on passive or active human-robot interfaces are proposed and examples of implementations are described. Prototypes of robotic systems developed at Université Laval based on the above concepts are demonstrated.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-robot-design-concepts-for-intuitive-physical-human-robot-interaction-2/
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:20200225T110000
DTEND;TZID=America/New_York:20200225T120000
DTSTAMP:20260408T172527
CREATED:20200211T144540Z
LAST-MODIFIED:20200211T144540Z
UID:10006405-1582628400-1582632000@seasevents.nmsdev7.com
SUMMARY:ESE Seminar: "Quantum information processing with superconducting circuits:  Purcell effect and the measurement problem"
DESCRIPTION:Abstract\nWith recent advances in state preparation\, gate\, and measurement operations\, superconducting circuit architectures are now leading candidates for quantum information processing. As micro-fabricated circuits are scaled up towards a practical quantum processor\, strict requirements on the fidelity of operations required for quantum computation are imposed. For theorists\, this mandates the development of accurate models describing the dynamics of complex superconducting circuits subject to strong drives. \nThis talk will begin with an elementary introduction to such systems and their description in terms of quantum electrodynamics\, the fundamental theory of light-matter interactions. We will then address the problem of the Purcell effect\, which is the enhancement of the decay rate of a single qubit due to a linear electromagnetic environment\, and show how convergent results can be obtained without any artificial high-frequency cutoffs. We will also explain how the Purcell rate is further enhanced in the presence of the drive fields typically used to measure qubits\, which is a ubiquitous problem encountered in present-day experiments.
URL:https://seasevents.nmsdev7.com/event/ese-seminar-quantum-information-processing-with-superconducting-circuits-purcell-effect-and-the-measurement-problem/
CATEGORIES:Colloquium
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200225T143000
DTEND;TZID=America/New_York:20200225T170000
DTSTAMP:20260408T172527
CREATED:20200127T184902Z
LAST-MODIFIED:20200127T184902Z
UID:10006390-1582641000-1582650000@seasevents.nmsdev7.com
SUMMARY:Memorial Event:  Dean Joseph Bordogna
DESCRIPTION:Please join us on Tuesday\, February 25\, as we celebrate the life and legacy of Dr. Joseph Bordogna\, Professor Emeritus of Electrical and Systems Engineering and former Dean of Penn Engineering. \nDr. Bordogna was a student and a colleague in our school\, and a beloved and visionary dean. He provided the foundational leadership for the world-renowned M&T program\, was a champion of K-12 education\, and a founder of PRIME (Philadelphia Regional Introduction for Minorities to Engineering). He was an officer on the USS New Jersey\, which is anchored here in Philadelphia. He served as the deputy director and Chief Operating Officer of the National Science Foundation from 1999-2005. Most importantly\, he was a true friend\, colleague and mentor to so many. \nA memorial celebration will be held in the Glandt Forum at the Singh Center for Nanotechnology\, followed by a reception in the Lubin Galleria. We hope you can attend. \n 
URL:https://seasevents.nmsdev7.com/event/memorial-event-dean-joseph-bordogna/
LOCATION:Glandt Forum\, Singh Center for Nanotechnology\, 3205 Walnut Street\, Philadelphia\, PA\, 19104\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200226T090000
DTEND;TZID=America/New_York:20200226T220000
DTSTAMP:20260408T172527
CREATED:20200225T213737Z
LAST-MODIFIED:20200225T213737Z
UID:10006420-1582707600-1582754400@seasevents.nmsdev7.com
SUMMARY:“Engineering at NSF:  Big Ideas and More”
DESCRIPTION:Three years ago\, NSF announced Ten Big Ideas for Future Investments.  From Harnessing the Data Revolution\, to defining the Future of Work at the Human-Technology Frontier\, and Understanding the Rules of Life\, all of the Big Ideas require cross-disciplinary\, convergent research to make significant progress on these important societal challenges.  The talk will present an overview of these ideas and describe some of the funding opportunities.  There will also be a summary of the activities of the Engineering Directorate\, highlights of new cross-cutting programs at NSF\, and time for Q&A.
URL:https://seasevents.nmsdev7.com/event/engineering-at-nsf-big-ideas-and-more/
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:20200226T150000
DTEND;TZID=America/New_York:20200226T160000
DTSTAMP:20260408T172527
CREATED:20191219T204400Z
LAST-MODIFIED:20191219T204400Z
UID:10006354-1582729200-1582732800@seasevents.nmsdev7.com
SUMMARY:CBE Faculty Candidate Seminar: "Understanding and Design of Materials of High Energy Density Batteries"
DESCRIPTION:Abstract: \nEnvironmental challenges and economic forces are reshaping the way we generate and consume energy on a global scale. To keep up with the accelerating adoption of electric vehicles\, allow for grid scale energy storage\, and meet the demands of future technological advances\, new materials for high energy density batteries must be developed. High costs have prevented widespread deployment of lithium-ion batteries beyond portable electronics\, and the safety hazards of exothermic reactions associated with traditional materials during cell failure remain to be fully addressed. Therefore\, strategies to enhance the mechanical and chemical stability of next-generation electrode materials are key to the successful integration of batteries into our future energy systems. In this presentation\, I will discuss new materials designed to address issues of stability in Li-ion batteries and fundamental insight into the mechanisms of this stabilization. The first portion of my talk will describe how a supramolecular\, hydrogen-bonding\, self-healing polymer is used to stabilize high capacity anode materials. Next\, I will describe further investigation toward a general understanding of how polymer coatings affect the electrodeposition of metallic lithium anodes. Third\, I will discuss the use of in situ characterization techniques to study the mechanisms of electrolyte decomposition reactions at the lithium metal interface. Overall\, the work presented here contributes new materials to be used in electric vehicles\, grid scale storage\, and new electronic devices\, and uses these materials to develop a fundamental understanding about how materials properties affect the stability of lithium ion batteries in each application. This understanding provides direction for the design and synthesis of new polymer materials to better stabilize advanced battery chemistries.
URL:https://seasevents.nmsdev7.com/event/cbe-seminar-understanding-and-design-of-materials-of-high-energy-density-batteries/
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:20200227T104500
DTEND;TZID=America/New_York:20200227T114500
DTSTAMP:20260408T172527
CREATED:20200214T204654Z
LAST-MODIFIED:20200214T204654Z
UID:10006410-1582800300-1582803900@seasevents.nmsdev7.com
SUMMARY:MSE Faculty Candidate Seminar: “Computational Materials Design from  Synthesis to Functionality”
DESCRIPTION:The concept of computational materials design envisions the identification of new synthetically-accessible structures with desirable properties and the optimization of known systems using first-principles calculations. While significant steps towards realizing this vision have been made\, notably in atomistic property evaluation\, the computational prediction of materials synthesis and realistic structure remains a challenge. Dr. Kitchaev will describe my work towards resolving these obstacles using three examples where models constructed from first-principles data yield quantitative synthesis predictions\, describe the structure of the resulting materials\, and reveal design criteria for optimizing materials behavior. He will first show that the synthesis routes used to obtain the diverse array of crystal structures observed in the manganese oxides can be quantitatively described with a quasi-equilibrium view of crystallization which takes into account the effects of off-stoichiometry\, finite-size effects and hydration. He will then apply a similar synthesis model to the design and optimization of disordered rocksalt oxyfluoride Li-ion battery cathode materials where electrochemical behavior is strongly coupled to chemical short range order. Finally\, he will describe the computational design of materials capable of hosting magnetic skyrmion phases\, which are nanoscale magnetic textures with nontrivial topology\, focusing on ensuring that these phases are thermally robust and tunable as is necessary for spintronic device applications. In all three cases\, experimental tests validate the predictive power of the computational analysis. While numerous open questions remain to be resolved before generally predictive synthesis-aware materials design is possible\, these initial results demonstrate the transformative potential of these tools to the development of new functional materials.
URL:https://seasevents.nmsdev7.com/event/mse-faculty-candidate-seminar-computational-materials-design-from-synthesis-to-functionality/
LOCATION:Auditorium\, LRSM Building\, 3231 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200227T110000
DTEND;TZID=America/New_York:20200227T120000
DTSTAMP:20260408T172527
CREATED:20200213T150450Z
LAST-MODIFIED:20200213T150450Z
UID:10006408-1582801200-1582804800@seasevents.nmsdev7.com
SUMMARY:ESE Seminar: "Engineering Quantum Processors in Silicon"
DESCRIPTION:Abstract\nAcross the globe\, physicists in academia and industry alike are competing to be the first to build a scalable universal quantum computer. Amongst the multitudes of quantum computing architectures\, solid-state quantum processors based on spins in silicon are emerging as a strong contender. Silicon is an ideal material to host spin qubits: it supports long coherence times [1]\, has excellent prospects for scaling\, and is ubiquitous in the semiconductor industry. While semiconductor spin qubits were proposed over two decades ago [2]\, it is only within the past few years that we have learned how to fabricate and control multi-qubit devices in silicon. \nIn this seminar\, I will describe our state-of-the-art four-qubit Si/SiGe quantum dot device [3] and explain how we have overcome major barriers to realizing large-scale quantum computing in silicon. First\, I will discuss charge control and spin-state readout in the device. Then\, I will describe the use of an on-chip micromagnet to mediate electrically driven spin resonance [4-5]. Using this technique\, we achieve site-selective spin control with fidelities exceeding 99.9%. I will outline the operation of our three primitive two-qubit gates: the decoupled-CZ gate [4]\, the resonant CNOT gate [5]\, and the resonant SWAP gate [6]. Finally\, I will discuss how these advances enable the development of large-scale quantum processors capable of complex quantum information processing. \nReferences:\n[1] Tyryshkin et al.\, Nature Mat. 11\, 143 (2011)\n[2] Loss and Divincenzo\, Phys. Rev. A 57\, 120 (1998)\n[3] Sigillito et al.\, Phys. Rev. Applied 11\, 061006 (2019)\n[4] Watson et al.\, Nature 555\, 633 (2018)\n[5] Zajac\, Sigillito\, et al.\, Science 359\, 439 (2018)\n[6] Sigillito et al.\, npj Quantum Information 5\, 110 (2019)
URL:https://seasevents.nmsdev7.com/event/ese-seminar-engineering-quantum-processors-in-silicon/
LOCATION:Room 337\, 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:20200227T120000
DTEND;TZID=America/New_York:20200227T130000
DTSTAMP:20260408T172527
CREATED:20200109T163541Z
LAST-MODIFIED:20200109T163541Z
UID:10006366-1582804800-1582808400@seasevents.nmsdev7.com
SUMMARY:BE Seminar: "Musculoskeletal Tissue Engineering"
DESCRIPTION:
URL:https://seasevents.nmsdev7.com/event/be-seminar-title-tbc-2/
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:20200227T150000
DTEND;TZID=America/New_York:20200227T160000
DTSTAMP:20260408T172527
CREATED:20200219T192722Z
LAST-MODIFIED:20200219T192722Z
UID:10006411-1582815600-1582819200@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Risk-Aware Machine Learning at Scale"
DESCRIPTION:Abstract: \n\nIn recent years\, machine learning has seen rapid advances with increasingly large scale and complex data modalities\, including processing images\, natural language and more. As a result\, applications of machine learning have pervaded our lives to make them easier and more convenient. Buoyed by this success\, we are approaching an era where machine learning will be used to autonomously make increasingly risky decisions that impact the physical world and risk life\, limb\, and property. For example\, machine learning may autonomously decide when cars should brake or swerve\, how power should be allocated in smart grids\, what treatments to recommend in some medical settings and much more. \nIn this talk\, I will discuss how we can begin to understand and mitigate this risk. In particular\, I will focus on how we can combine lessons learned from the unprecedented practical success of deep learning with approaches from statistical and probabilistic machine learning to make risk aware decisions in practice and at scale. I will show how one popular probabilistic method\, Gaussian process regression\, can be made to scale without approximation to millions of training examples for complex tasks despite traditionally being limited to thousands. Finally. I will discuss a number of examples where these tools are deployed successfully in practice\, and conclude with a discussion of the most important problems and limitations I believe we have yet to face in this area.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-risk-aware-machine-learning-at-scale/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Colloquium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200228T140000
DTEND;TZID=America/New_York:20200228T150000
DTSTAMP:20260408T172527
CREATED:20191216T200711Z
LAST-MODIFIED:20191216T200711Z
UID:10006348-1582898400-1582902000@seasevents.nmsdev7.com
SUMMARY:PICS Seminar - Dr. Cesar de la Fuente of the University of Pennsylvania\, Perelman School of Medicine
DESCRIPTION:Abstract: \nUntil now\, the natural world has supplied us with antibiotics. Bacteria\, however\, are increasingly resistant to these drugs. The next generation of antibiotics will likely come not from nature but from computer-based discovery. Working at the forefront of this development\, I seek to harness computational power to find molecules with antibacterial activity. I use synthetic biology and computational tools to determine features contributing to this activity and train computers to find— or design— candidate molecules and tweak their structures virtually. Experimentation is reserved for validating computer predictions\, saving time\, labor\, and expense. With machine-based molecular discovery\, I explore proteins and peptides as engineering scaffolds. My approaches diversify proteins\, such as host defense peptides (HDPs)\, beyond their natural variation. For example\, to increase their antimicrobial properties\, we trained a computer to execute a fitness function that selects for structures that interact with bacterial membranes\, thereby converting several HDPs into the first artificial antimicrobials that kill bacteria both in vitro and in animals. By investigating these exciting possibilities\, I aim to build machine-made antibiotics to combat infectious diseases and develop clinical applications for autonomously generated synthetic molecules. Computer-made drugs may help to replenish our arsenal of effective drugs and outpace the evolution of antibiotic resistance.
URL:https://seasevents.nmsdev7.com/event/pics-seminar-with-dr-cesar-de-la-fuente-of-the-university-of-pennsylvania-perelman-school-of-medicine/
LOCATION:PICS Conference Room 534 – A Wing \, 5th Floor\, 3401 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar,Colloquium
ORGANIZER;CN="Penn Institute for Computational Science (PICS)":MAILTO:dkparks@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200303T103000
DTEND;TZID=America/New_York:20200303T120000
DTSTAMP:20260408T172527
CREATED:20200226T145623Z
LAST-MODIFIED:20200226T145623Z
UID:10006422-1583231400-1583236800@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Multiscale Interactions in Multiphase Turbulent Flows: Fundamentals to Applications"
DESCRIPTION:Recent advances in experimental measurements and numerical simulations has allowed us to discover new phenomena in multiphase turbulence (a flow regime characterized by chaotic and irregular motion in the presence of immersed surfaces/bodies). In this talk\, I will discuss some of these new discoveries and their importance both from a fundamental and an application viewpoint. I will first present our finding of a surprising fluctuation-induced force between two plates immersed in a turbulent fluid. The mechanism of force generation reveals an intriguing analogy with the quantum Casimir effect. Next\, I will discuss how multiscale interactions between immersed bodies/surfaces and a carrier turbulent fluid can lead to drag reduction in the context of Taylor-Couette flows. I will conclude by showing some recent advances in our understanding of the role of turbulence in bio-physical flows (e.g. Cardio-vascular flow).
URL:https://seasevents.nmsdev7.com/event/meam-seminar-multiscale-interactions-in-multiphase-turbulent-flows-fundamentals-to-applications/
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
END:VCALENDAR