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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200921T110000
DTEND;TZID=America/New_York:20200921T120000
DTSTAMP:20260407T131722
CREATED:20200914T160000Z
LAST-MODIFIED:20200914T160000Z
UID:10006492-1600686000-1600689600@seasevents.nmsdev7.com
SUMMARY:Climate Week: Africa and Climate Change: Challenges and Solutions in a Globalized World
DESCRIPTION:Speaker:\nAnthony Nyong\, Director of Climate Change and Green Growth at the African Development Bank (AfDB) \nSpeaker Bio:\nBio: Professor Anthony Nyong is the Director of Climate Change and Green Growth at the African Development Bank. He has about 30 years of experience in environmental and natural resources management\, environmental and social safeguards\, renewable energy and green growth that span academia\, private sector and development finance. Positions he has held at the African Development Bank include Coordinator of the New Deal on Energy for Africa; Head of the Renewable Energy Flagship\, Head of Gender\, Climate Change and Sustainable Development; and Head of Compliance and Safeguards. Before joining the Bank\, he was a Senior Climate Change Specialist at the International Development Research Centre of Canada and prior to that\, a Professor of Climate Change at the University of Jos\, Nigeria. \nProf. Nyong has served on several Global Advisory and Scientific Boards including the Sustainable Stock Exchange Green Finance Advisory Group\, the Ministerial Advisory Committee on Agricultural Resilience in Nigeria; WHO Thematic Reference Group on Environment\, Agriculture and Infectious Disease; Scientific and Technical Advisory Panel of the Global Environment Facility; the International Human Dimensions Program\, Global Environmental Change and Food Systems\, and Pan-African committee for the Global Change System for Analysis\, Research and Training. He has served on the Boards of the Applied Center for Climate and Earth Systems Science\, South Africa and the International Centre for Climate Change and Development at the Independent University\, Bangladesh. Nyong is a member of the Planning Committee of the Climate and Health Initiative of the National Academy of Medicine (USA). He was a Coordinating Lead Author for the IPCC Fourth Assessment Report and a member of the IPCC Task Group on Data and Scenario Support for Impact and Climate Analysis. \nMr. Nyong holds a Ph.D. in Geography from McMaster University\, Canada and a D.Sc. (hc) from the University of Calabar in Nigeria\, a post-graduate Diploma from the University of Oxford and a Masters Degree in Land Surveying from Ahmadu Bello University in Nigeria. He is a Senior Executive Fellow of the Harvard Kennedy School of Government\, a Chartered Geographer\, a Fellow of the African Academy of Sciences and a Fellow of the Royal Geographical Society. He is named among the top 20 of the 100 most Influential People in Climate Policy 2019 by Apolitical. \nModerator:\nTukufu Zuberi\, Professor of Sociology and The Lasry Family Professor of Race Relations at the University of Pennsylvania \nDescription:\nStudies and forecasts indicate\, according to Dr. Anthony Nyong\, Director of Climate Change and Green Growth at the African Development Bank\, that “While Africa bears a considerably large proportion of the impacts of climate change\, it also has opportunities to enable it transition to a more sustainable growth pathway.” Dr. Nyong will discuss the effects of Climate Change in Africa and steps that encourage sustainability in Africa and thus resilience to Climate Change. These steps can lead to  transformation and transition to green economies in the continent with positive global implications.
URL:https://seasevents.nmsdev7.com/event/webinar-africa-and-climate-change-challenges-and-solutions-in-a-globalized-world/
LOCATION:PA
ATTACH;FMTTYPE=image/jpeg:https://seasevents.nmsdev7.com/wp-content/uploads/2020/09/monday.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200922T030000
DTEND;TZID=America/New_York:20200922T040000
DTSTAMP:20260407T131722
CREATED:20200914T200450Z
LAST-MODIFIED:20200914T200450Z
UID:10006498-1600743600-1600747200@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Engineering Approximate Computations"
DESCRIPTION:  \nThere’s a new ecosystem of applications that integrates machine learning into a variety of tasks. Typical domains have included image recognition and natural language processing. However\, these techniques have also spread to computer systems domains\, such as program compilation\, resource scheduling\, and database query optimization\, yielding new computer systems that learn from data to achieve their goals. \n  \nWith the success of these systems\, we must grapple with the reality that they model and compute with objects that are inherently approximate — real numbers (only computable up to a given precision)\, neural networks (only validated on a given dataset)\, and probabilistic computations (results only computable up to a given probability). This reality presents many engineering questions about interpreting\, debugging\, validating\, verifying\, and optimizing these systems. \n  \nAs an illustrative example of such a system\, I’ll present Ithemal\, our deep learning system for performance modeling of modern computer processors. Using data and simple models\, our system predicts the performance of assembly code on modern Intel CPUs better than state-of-the-art\, handcrafted techniques from LLVM and Intel. \n  \nGuided by Ithemal’s engineering challenges\, I’ll present our work on reasoning about the semantics and performance of such a system. \nIn particular\, I’ll present our results on the semantics of sound real-valued\, differentiable\, probabilistic computation\, which is the core computational model behind this new class of systems.  I’ll also present our work on the Lottery Ticket Hypothesis\, a set of techniques for producing small trainable neural networks that are 10-20% of the size of standard architectures. The promise of this latter work is not only faster inference and training\, but also smaller neural networks that are more amenable to reasoning\, such as verifying their robustness
URL:https://seasevents.nmsdev7.com/event/cis-seminar-engineering-approximate-computations/
LOCATION:Zoom – Email CIS for link\, cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200922T090000
DTEND;TZID=America/New_York:20200922T103000
DTSTAMP:20260407T131722
CREATED:20200914T155654Z
LAST-MODIFIED:20200914T155654Z
UID:10006496-1600765200-1600770600@seasevents.nmsdev7.com
SUMMARY:ESE Thesis Defense: "Constrained Learning and Inference"
DESCRIPTION:Learning is a core component of the information processing and autonomous systems upon which we increasingly rely on to select job applicants\, analyze medical data\, and drive cars. As these systems become ubiquitous\, so does the need to curtail their behavior. Left untethered\, they are susceptible to tampering (adversarial examples) and prone to prejudiced and unsafe actions. Currently\, this is done by either constructing models that embed the desired properties or tuning the training objective so as to promote them. Yet\, these approaches are often tailored to specific problems\, are hard to transfer between models\, and involve time consuming trial-and-error procedures that are impractical even for the current scale and complexity of modern machine learning systems. In this defense\, I develop the theoretical underpinnings of constrained learning to understand how requirements affect statistical learning and enable behaviors to be directly and systematically designed. To do so\, I will derive a generalization theory for constrained learning based on the probably approximately correct (PAC) learning framework. In particular\, I will show that imposing requirements does not make a learning problem harder in the sense that any PAC learnable class is also PAC constrained learnable using a constrained counterpart of the empirical risk minimization (ERM) rule. For typical parametrized models\, however\, this learner involves solving a non-convex constrained optimization program for which even obtaining a feasible solution may be hard. To overcome this issue\, we prove that under mild conditions the empirical dual problem of constrained learning is also a PAC constrained learner. Hence\, constrained learning problems can be solved by solving only unconstrained ones\, leading to a practical constrained learning algorithm. We illustrate how constrained learning can address problems in fair and robust classification.
URL:https://seasevents.nmsdev7.com/event/ese-thesis-defense-constrained-learning-and-inference/
LOCATION:Zoom – Email ESE for Link jbatter@seas.upenn.edu
CATEGORIES:Doctoral,Dissertation or Thesis Defense
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200922T103000
DTEND;TZID=America/New_York:20200922T120000
DTSTAMP:20260407T131722
CREATED:20200901T145332Z
LAST-MODIFIED:20200901T145332Z
UID:10006466-1600770600-1600776000@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Robots and Mechatronic Systems can help us identify\, assess\, and treat Motor and Cognitive Impairment after Brain Injury"
DESCRIPTION:The US Centers for Disease Control (CDC) indicate that in 2017 about 12.7% of adults and children had some form of disability. Stroke is the leading cause of serious long-term disability with ~7 million in the US\, which will increase by 20.5% by 2030. Cerebral Palsy is the leading cause of serious long-term disability in children with reports suggesting that 1 in 323 children in the US have CP which represent approximately ~230\,000 children in the US. Both these diseases result in varying levels of motor and cognitive impairment due to brain injury which affects then affects the persons ability to complete activities of daily living and fully participate in society. Increasingly advanced technologies are being used to support identification\, diagnosis\, assessment\, and therapy for patients with brain injury. Specifically\, robot and mechatronic systems can provide patients\, physicians and rehabilitation clinical providers with additional support to care for and improve the quality of life of children and adults with motor and cognitive impairment. This talk will provide a brief introduction to the area of rehabilitation robotics and \,via case studies\, illustrate how we develop and use technology-assisted rehabilitation systems to assess motor and cognitive impairment\, detect early evidence of functional impairment\, and augment therapy in high and low-resource settings.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-robots-and-mechatronic-systems-can-help-us-identify-assess-and-treat-motor-and-cognitive-impairment-after-brain-injury/
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:20200922T130000
DTEND;TZID=America/New_York:20200922T140000
DTSTAMP:20260407T131722
CREATED:20200914T155952Z
LAST-MODIFIED:20200914T155952Z
UID:10006493-1600779600-1600783200@seasevents.nmsdev7.com
SUMMARY:Climate Week: Advancing Technology to Ensure Food\, Energy\, and Water Security
DESCRIPTION:Speaker:\nCherie Kagan\, Associate Dean of Research\, Stephen J Angello Professor\,  Electrical and Systems Engineering\, Material Science and Engineering\, Penn Engineering. Director\, NSF’s Internet of Thing’s for Precision Agriculture Engineering Research Center \nDescription:\nEnsuring food\, energy\, and water security is a societal grand challenge. By 2050\, the US population is estimated to grow from 330 million to 400 million\, and the world population from 7.8 billion to 9.7 billion\, requiring a 70% increase in global food production. Current agricultural practices account for 70% of global water use\, and energy use accounts for the largest cost on a farm. Furthermore\, the current inefficient use of agrochemicals is altering Earth’s ecosystems. With finite arable land\, water\, and energy resources\, there is a critical need for new technologies and innovations to improve the efficiency of food production. These challenges provide a unique opportunity for scientists\, engineers\, practitioners\, and other stakeholders to come together and develop new technologies and solutions that would not be realized without a convergent approach. The NSF Engineering Research Center for the Internet of Things for Precision Agriculture (IoT4Ag) unites faculty and students from the University of Pennsylvania\, Purdue University\, the University of California at Merced\, and the University of Florida with government and industry partners\, establishing a convergence of expertise in agronomy\, agricultural engineering\, socio-economics\, environmental science\, and the science and engineering of physical and cyber-physical systems needed to transform agriculture. The goal of this center is to ensure food\, energy\, and water security by advancing technology to increase crop production while minimizing the use of energy and water resources and the impact of agricultural practices on the environment. To realize this mission\, IoT4Ag will create and translate to practice Internet of Things (IoT) technologies for precision agriculture and train an educated and diverse workforce that will address the societal grand challenge of food\, energy\, and water security for decades to come. IoT4Ag institutions are located in regions of the United States of intense agricultural production and represent the diversity of both crops and agricultural environments across the country. The coverage of these diverse geographical locations will ensure that a broad range of crop types will benefit from the research\, education\, and training of IoT4Ag\, leading to the successful transformation of agricultural practices for a sustainable and secure future. \nThe IoT4Ag team will investigate how the complex systems of plant and environmental variables affect crop yield and resilience. To accomplish this task\, center researchers will focus on the development of low-cost sensor technologies to measure these variables at relevant spatial and temporal scales. To utilize these sensors and the data collected\, IoT4Ag will develop agriculture-specific communication technologies that relay data from sensors to both relevant farming equipment and to the cloud by autonomous aerial and ground-based robots equipped to be deployed at field scale. Data-driven models will capture plant physiology\, soil properties and dynamics\, historical weather trends and future forecasts\, management practice variations\, and socio-economic trends to provide farmers the situational awareness necessary for smart agricultural intervention and improved outcomes. Through the research and development of these proposed technologies and solutions\, IoT4Ag will educate a diverse workforce of pre-college students\, community college students\, university students\, and agriculture professionals through audience-specific lessons and hands-on classroom\, laboratory\, and field activities. These activities will arm this new workforce with the strong science and engineering knowledge to enable precision agriculture solutions. IoT4Ag will recruit\, retain\, and educate diverse participants and create a culture of inclusion through engagement\, participation\, and cohesion of a broad community of students\, faculty\, and professionals. This vibrant innovation ecosystem will bring together academic\, government\, and industry partners with the end-user farming community to ensure the rapid translation of IoT4Ag practices and technologies into commercial products and economic impact. Through all of these described activities\, IoT4Ag will enable the transformation of agriculture\, producing more crops for every drop of water or Joule of energy to realize a food\, energy\, and water-secure future for the United States.
URL:https://seasevents.nmsdev7.com/event/webinar-advancing-technology-to-ensure-food-energy-and-water-security/
LOCATION:PA
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200923T100000
DTEND;TZID=America/New_York:20200923T110000
DTSTAMP:20260407T131722
CREATED:20200917T213808Z
LAST-MODIFIED:20200917T213808Z
UID:10006504-1600855200-1600858800@seasevents.nmsdev7.com
SUMMARY:MEAM PHD Thesis Defense: "Control of Dry Adhesion via Mechanics and Structuring"
DESCRIPTION:Dry adhesives that rely on van der Waals forces have a number of applications due to their versatility\, reusability\, and repeatability. Applications include small-scale pick-and-place and microtransfer printing processes\, wearable sensors\, climbing/perching robots\, and robotic gripping. However\, van der Waals forces are macroscopically short-range and are the weakest of the interatomic forces\, so careful mechanical design of adhesive structures is required to provide sufficient dry adhesion strength for many of these applications. This thesis investigates the mechanics-based design of structured dry adhesives with enhanced and controllable adhesion. \nFirst\, a mechanics-based strategy for achieving the optimum interfacial stress distribution of an elastic layer to realize high adhesion strength is presented. Second\, dry adhesion tuning via the control of the interfacial stress distribution via subsurface pressure modulation in soft device is analyzed and demonstrated. Then\, the mechanics of adhesion of flat-ended pillars with non-circular contacts to enable the design of fibrillar adhesives with high packing density is investigated. Finally\, the mechanics of tunable adhesion in microtransfer printing processes is examined and a strategy to provide robust control of microtransfer printing processes is proposed.
URL:https://seasevents.nmsdev7.com/event/meam-phd-thesis-defense-control-of-dry-adhesion-via-mechanics-and-structuring/
LOCATION:Zoom – Email MEAM for Link\, peterlit@seas.upenn.edu
CATEGORIES:Seminar,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:20200923T110000
DTEND;TZID=America/New_York:20200923T120000
DTSTAMP:20260407T131722
CREATED:20200914T155945Z
LAST-MODIFIED:20200914T155945Z
UID:10006494-1600858800-1600862400@seasevents.nmsdev7.com
SUMMARY:Climate Week: Carbon Offsets Should Make a Difference: Connecting Offsets for University-Sponsored Air Travel to a Vision for an Energy and Climate Partnership with West Philadelphia
DESCRIPTION:Speakers:\nMegan Ryerson\, UPS Chair of Transportation\, Associate Dean for Research\, Weitzman School\nBenjamin C. Pierce\, Henry Salvatori Professor of Computer and Information Science\, Penn Engineering\nWilliam W. Braham\, Professor of Architecture\, Director of the Master of Environmental Building Design and of the Center for Environmental Building + Design\, Weitzman School\nSteve Luxton\, Executive Director/CEO at the Energy Coordinating Agency of Philadelphia (ECA). ECA provides community-based energy efficiency services and assistance to low-income families in Philadelphia.\nAndrew Huemmler\, Senior Lecturer\, School of Engineering and Applied Science\, Member of the Board of Directors of the Energy Coordinating Agency of Philadelphia\nRegina Bynum\, Director of Teaching and Learning for University-Assisted Community School Programs\, The Netter Center for Community Partnerships \nModerator:\nSimon Richter\, Class of 1942 Endowed Term Professor of Germanic Languages and Literature\, Chair of the Climate Week at Penn Organizing Team \nDescription: \nBefore the pandemic\, air travel was one of the major contributors to global greenhouse gas emissions. Whether you travel privately or for your institution or company\, invariably air travel makes up the biggest chunk of your carbon footprint and overshadows your other efforts. To its credit\, the University of Pennsylvania recognized that University-sponsored air travel made up 20% of Penn’s carbon emissions\, making it the second largest source of carbon emissions at Penn. In January\, 2020\, the University announced a plan to purchase carbon offsets to neutralize its emissions. Join Penn experts and Steve Luxton\, CEO of the Energy Coordinating Agency\, for a webinar that will focus on \n– the carbon footprint of air travel and air transportation trends in the US and globally\n– how carbon offsets work and what options there are for individuals\n– Penn’s plans to offset university-sponsored air travel\n– developing a vision of how Penn could invest its carbon offsets to help residents in West Philadelphia become more energy efficient\, switch to renewables\, and become more climate adaptive
URL:https://seasevents.nmsdev7.com/event/webinar-carbon-offsets-should-make-a-difference-connecting-offsets-for-university-sponsored-air-travel-to-a-vision-for-an-energy-and-climate-partnership-with-west-philadelphia/
LOCATION:PA
ATTACH;FMTTYPE=image/png:https://seasevents.nmsdev7.com/wp-content/uploads/2020/09/plane.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200924T104500
DTEND;TZID=America/New_York:20200924T114500
DTSTAMP:20260407T131722
CREATED:20200910T134558Z
LAST-MODIFIED:20200910T134558Z
UID:10006487-1600944300-1600947900@seasevents.nmsdev7.com
SUMMARY:MSE Seminar: "How to Care for Yourself While Navigating a Complex World"
DESCRIPTION:As graduate students\, it can be difficult to maintain a sense of balance throughout your academic career. There are often multiple demands on your time\, from having a social life while performing well academically to maintaining your mental health and wellness. However\, 2020 has brought unique challenges that include\, managing a global pandemic\, navigating issues related to racism and xenophobia and coping with significant losses of loved ones and experiences. Come join us as we discuss the impact of these stressors on your mental health and explore strategies for coping.
URL:https://seasevents.nmsdev7.com/event/mse-seminar-how-to-care-for-yourself-while-navigating-a-complex-world/
LOCATION:PA
ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200924T110000
DTEND;TZID=America/New_York:20200924T120000
DTSTAMP:20260407T131722
CREATED:20200914T155858Z
LAST-MODIFIED:20200914T155858Z
UID:10006495-1600945200-1600948800@seasevents.nmsdev7.com
SUMMARY:Climate Week: Embodied Carbon and the Built Environment: A Focus on Mass Timber
DESCRIPTION:Speakers:\nKerry Phillips\, Associate at Lake|Flato Architects\nHeather Gayle Holdridge\, Director of Design Performance at Lake|Flato Architects\nTerry Pattillo\, AIA\, Mid-Atlantic Regional Director\, WoodWorks – Wood Products Council \nModerator:\nStephanie Carlisle\, Senior Researcher\, Carbon Leadership Forum
URL:https://seasevents.nmsdev7.com/event/webinar-embodied-carbon-and-the-built-environment-a-focus-on-mass-timber/
LOCATION:PA
ATTACH;FMTTYPE=image/jpeg:https://seasevents.nmsdev7.com/wp-content/uploads/2020/09/timber.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200924T150000
DTEND;TZID=America/New_York:20200924T160000
DTSTAMP:20260407T131722
CREATED:20200728T152022Z
LAST-MODIFIED:20200728T152022Z
UID:10006444-1600959600-1600963200@seasevents.nmsdev7.com
SUMMARY:BE Seminar: "Patients\, Providers and Data: How the EMR and Data Science are Changing Clinical Care" (Kevin Johnson)
DESCRIPTION:This event will be held virtually via zoom. Check your email for the link and passcode or contact ksas@seas.upenn.edu. \nThe electronic health record (EHR) is a powerful application of Systems Engineering to healthcare. It is a byproduct of a host of pressures including  cost\, consolidation of providers into networks\, uniform drivers of quality\, and the need for timely care across disparate socioeconomic and geographic landscapes within health systems. The EHR is also a fulcrum for innovation and one of the most tangible examples of how data science affects our health and health care. In this talk I will showcase projects from my lab that demonstrate the multi-disciplinary nature of biomedical informatics/data science research and translation using the EHR\, and our current understanding of its potential from my perspective as a pediatrician\, a researcher in biomedical informatics\, a Chief Information Officer\, an educator\, and an advisor to local and international policy. I will describe advances in applying human factors engineering to support medical documentation and generic prescribing\, approaches to improve medication safety\, and innovations to support precision medicine and interoperability. I will present our efforts to integrate EHR-enabled data science into the Vanderbilt health system and provide a vision for what this could mean for our future.
URL:https://seasevents.nmsdev7.com/event/be-seminar-6/
LOCATION:PA
CATEGORIES:Seminar
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200925T100000
DTEND;TZID=America/New_York:20200925T110000
DTSTAMP:20260407T131722
CREATED:20200924T185639Z
LAST-MODIFIED:20200924T185639Z
UID:10006512-1601028000-1601031600@seasevents.nmsdev7.com
SUMMARY:SIG Seminar: "Coupling Sub-Grid Solids\, Simulating Liquid Metals\, and Inferring Facial Expressions"
DESCRIPTION:This lecture will discuss recent results in computational physics\, computer graphics\, and learning/data science.  The first section will present a method for accurately simulating two-way solid-fluid coupling even when solids may be smaller than the size of a computational grid cell.  Next\, a numerical method for simulating materials with large surface energy (such as liquid metals) will be discussed.  The third part of the lecture will introduce techniques for obtaining sparse semantic solutions to inverse and optimization problems\, with a case study of inferring facial expressions from RGB images.  The lecture will conclude with future research directions at the interfaces of simulation\, graphics\, learning\, and data.
URL:https://seasevents.nmsdev7.com/event/sig-seminar-coupling-sub-grid-solids-simulating-liquid-metals-and-inferring-facial-expressions/
LOCATION:Zoom – Email CIS for link\, cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200925T110000
DTEND;TZID=America/New_York:20200925T120000
DTSTAMP:20260407T131722
CREATED:20200914T155914Z
LAST-MODIFIED:20200914T155914Z
UID:10006497-1601031600-1601035200@seasevents.nmsdev7.com
SUMMARY:Climate Week: A Case for Carbon Removal From Air
DESCRIPTION:Speakers:\nJennifer Wilcox\, Presidential Distinguished Professor of Chemical Engineering and Energy Policy\, Penn Engineering\, Weitzman School\nNoah McQueen\, Third year Ph.D. candidate in Chemical Engineering\, Penn Engineering \nModerator:\nMark Alan Hughes\, Founding Faculty Director of the Kleinman Center for Energy Policy \nDescription:\nAs the atmospheric concentration of carbon dioxide (CO2) continues to rise\, it is imperative that we develop technologies that not only mitigate CO2 emissions\, but also remove CO2 directly from the atmosphere. There are a variety of approaches that are being developed to do just this\, and many approaches will be required to achieve a meaningful scale to mitigate climate change. In our work\, we have been developing a novel\, land-based magnesium oxide looping process to capture CO2 from the air. The process takes in magnesium carbonate (MgCO3) and calcines the material at high temperatures (roughly 600 – 900ºC) to produce amorphous MgO. The produced MgO is subsequently spread out over land to carbonate for a year. Following carbonation\, the mineral is recollected and recalcined to reproduce MgO and a high purity stream of CO2. The MgO can then be spread out over the land to carbonate again. The resulting CO2 may be compressed and stored geologically or otherwise utilized. This carbon removal approach demonstrates the potential for high impact\, low cost carbon removal. \nPreliminary experiments were performed to corroborate the experimental uptake rate of CO2 onto MgO. Additional laboratory experiments will focus on the effect of the ambient reaction conditions on the overall kinetic rate. Further\, we have planned experiments for a small pilot test at the Pennovation center. This will use 1 m by 1 m containers of MgO to determine the viability of the process in open\, realistic ambient conditions\, as well as the impact of different experimental parameters on the reaction rate (including bed depth\, particle size distribution and material vendor). These parameters will help us optimize the MgO looping process and determine the potential impact as a carbon removal approach.
URL:https://seasevents.nmsdev7.com/event/webinar-a-case-for-carbon-removal-from-air/
LOCATION:PA
ATTACH;FMTTYPE=image/jpeg:https://seasevents.nmsdev7.com/wp-content/uploads/2020/09/beach.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200926T100000
DTEND;TZID=America/New_York:20200926T160000
DTSTAMP:20260407T131722
CREATED:20200902T131849Z
LAST-MODIFIED:20200902T131849Z
UID:10006472-1601114400-1601136000@seasevents.nmsdev7.com
SUMMARY:PICS Workshop: "Machine Learning with MATLAB"
DESCRIPTION:Machine learning is a data analytics technique that teaches computers to do what comes naturally to humans and animals: learn from experience. Machine learning algorithms use computational methods to “learn” information directly from data without relying on a predetermined equation as a model. \nUsing MATLAB\, engineers and other domain experts have deployed thousands of applications for predictive maintenance\, sensor analytics\, finance\, and communication electronics. \nIn this hands-on workshop\, you will use MATLAB to: \n\nLearn the fundamentals of machine learning and understand terms like “supervised learning”\, “feature extraction”\, and “hyperparameter tuning”\nBuild and evaluate machine learning models for classification and regression\nPerform automatic hyperparameter tuning and feature selection to optimize model performance\nApply signal processing and feature extraction techniques\n\nPlease register here if you would like to attend:  https://www.mathworks.com/company/events/seminars/machine-learning-with-matlab-a-hands-on-workshop-3212994.html
URL:https://seasevents.nmsdev7.com/event/pics-workshop-machine-learning-with-matlab/
LOCATION:Zoom – Email CIS for link\, cherylh@cis.upenn.edu
CATEGORIES:Workshop
ORGANIZER;CN="Penn Institute for Computational Science (PICS)":MAILTO:dkparks@seas.upenn.edu
END:VEVENT
END:VCALENDAR