BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Penn Engineering Events - ECPv6.15.18//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Penn Engineering Events
X-ORIGINAL-URL:https://seasevents.nmsdev7.com
X-WR-CALDESC:Events for Penn Engineering Events
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20220313T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20221106T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20230312T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20231105T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20240310T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20241103T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230905T100000
DTEND;TZID=America/New_York:20230905T113000
DTSTAMP:20260404T050022
CREATED:20230801T195846Z
LAST-MODIFIED:20230801T195846Z
UID:10007621-1693908000-1693913400@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: “Data-Driven Computational Design of Engineered Material Systems”
DESCRIPTION:Designing advanced material systems poses challenges in integrating knowledge and representation from multiple disciplines and domains such as materials\, manufacturing\, structural mechanics\, and design optimization. Data-driven machine learning and computational design methods provide a seamless integration of predictive materials modeling\, manufacturing\, and design optimization\, enabling the accelerated design and deployment of advanced material systems. In this talk\, we will introduce state-of-the-art data-driven methods for designing heterogeneous nano- and microstructural materials and complex multiscale metamaterial systems. We will discuss research developments in design representation\, design evaluation\, and design synthesis\, along with novel design methods that integrate machine learning\, mixed-variable Gaussian process modeling\, Bayesian optimization\, topology optimization\, and the concept of digital twins. Furthermore\, we will address the challenges and opportunities involved in designing engineered material systems.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-data-driven-computational-design-of-engineered-material-systems/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230906T120000
DTEND;TZID=America/New_York:20230906T131500
DTSTAMP:20260404T050022
CREATED:20230828T193249Z
LAST-MODIFIED:20230828T193249Z
UID:10007649-1694001600-1694006100@seasevents.nmsdev7.com
SUMMARY:ASSET Seminar: "On Testing Properties of High-Dimensional Distributions" (Erik Waingarten\, Penn)
DESCRIPTION:
URL:https://seasevents.nmsdev7.com/event/asset-seminar-on-testing-properties-of-high-dimensional-distributions/
LOCATION:Levine 307\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="AI-enabled Systems%3A Safe%2C Explainable%2C and Trustworthy (ASSET) Center":MAILTO:asset-info@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230906T143000
DTEND;TZID=America/New_York:20230906T163000
DTSTAMP:20260404T050022
CREATED:20230817T125044Z
LAST-MODIFIED:20230817T125044Z
UID:10007639-1694010600-1694017800@seasevents.nmsdev7.com
SUMMARY:BE Doctoral Dissertation Defense: "“Development of magnetic nanopore-based extracellular vesicle subpopulation sorting for the multimodal diagnosis and prognosis of neurological disease and cancer” (Andrew Lin)
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Dr. David Issadore are pleased to announce the Doctoral Dissertation Defense of Andrew Lin. \nTitle:  “Development of magnetic nanopore-based extracellular vesicle subpopulation sorting for the multimodal diagnosis and prognosis of neurological disease and cancer” \nDate: Wednesday\, September 6th from \nTime:  2:30 PM \nLocation: Raisler Lounge (Towne 2nd Floor) \nZoom option: \nhttps://upenn.zoom.us/j/2137711558 \nThe public is welcome to attend.
URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-defense-development-of-magnetic-nanopore-based-extracellular-vesicle-subpopulation-sorting-for-the-multimodal-diagnosis-and-prognosis-of-neurological-disease-and-c/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Doctoral,Graduate,Student,Dissertation or Thesis Defense
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230906T153000
DTEND;TZID=America/New_York:20230906T163000
DTSTAMP:20260404T050022
CREATED:20230816T183654Z
LAST-MODIFIED:20230816T183654Z
UID:10007637-1694014200-1694017800@seasevents.nmsdev7.com
SUMMARY:CBE Seminar: "Engineering Electrochemical Reactions for Sustainable Chemical Manufacturing" (Modestino\, NYU)
DESCRIPTION:The chemical industry produces more than 70\,000 products (1.2 billion tons in total) via thermal processes powered by fossil fuel combustion\, accounting for ~5% of the US energy utilization and >30% of the US energy-derived industrial CO2 emissions. Amongst these processes\, the production of organic chemical commodities accounts for most of the energy utilization (>1200 TBTU/y)\, and the electrification of these processes via the implementation of electro-organic reactions coupled with green hydrogen production could enable the integration of renewable electricity sources with chemical plants and accelerate the decarbonization of the chemical industry. Most of these reactions are oxidations in nature and if performed electrochemically could be coupled with the reduction of water to potentially produce H2. These paired electrolysis approaches for the production of basic organic chemicals would result in the production of large amounts of emissions-free H2 which could support other processes in the industry. Currently\, however\, two major challenges prevent the deployment of electro-organic reactions at scale: their low selectivity and their low production rates. To circumvent these barriers\, my group combines electrochemical reaction engineering principles and machine-learning methods to accelerate the development of high-performing electro-organic reaction processes. \nIn this presentation\, I will discuss our work on understanding and improving the production of adiponitrile (ADN)\, a precursor to Nylon 6\,6\, via the electrohydrodimerization of acrylonitrile (AN). This is the largest and most successful electro-organic reaction deployed in industry and serves as a test case for the development of large-scale organic electrochemical processes. Our investigations on ADN are aimed at uncovering the relationship between the electrochemical environment at and near the electrical double layer (EDL) and reaction performance metrics (i.e.\, selectivity\, efficiency\, and productivity). I will discuss general guidelines for electrolyte formulation and provide insights into the role of different electrolyte species (e.g.\, buffer ions\, chelating ions\, selectivity-directing ions\, and supporting ions) in achieving conversions of AN to ADN with selectivity as high as 83%. I will also present how carefully controlling pulsed electrosynthesis conditions guided by active machine learning can help mitigate mass transport limitations\, control the concentration of AN near the EDL and enhance the production rate of ADN by >30%. Our learnings on ADN electrosynthesis helped us to also engineer the electrocatalytic hydrogenation of ADN to hexamethylenediamine (a Nylon 6\,6 monomer)\, achieving the highest reported selectivity to date for this reaction (>95%). This electrochemical hydrogenation process avoids sourcing hydrogen from fossil sources and brings sustainability to hydrogen utilization in chemical production. To further accelerate the development of high-performing electro-organic processes\, my group has recently developed new machine-learning methods for rapid reactor outflow analysis using inexpensive spectroscopic tools and Bayesian optimization methods that leverage physical models to maximize process performance. These new tools will help us accelerate the electrification of petrochemical processes with large carbon footprints.
URL:https://seasevents.nmsdev7.com/event/cbe-seminar-engineering-electrochemical-reactions-for-sustainable-chemical-manufacturing-modestino-nyu/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Chemical and Biomolecular Engineering":MAILTO:cbemail@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230907T103000
DTEND;TZID=America/New_York:20230907T120000
DTSTAMP:20260404T050022
CREATED:20230824T191040Z
LAST-MODIFIED:20230824T191040Z
UID:10007644-1694082600-1694088000@seasevents.nmsdev7.com
SUMMARY:MSE Seminar: Working Safely in the Lab: Navigating Common Laboratory Hazards in MSE Research
DESCRIPTION:EHRS Sr. Lab Safety Specialist Gwenn Allen will discuss how to work safely in the lab while navigating the changing landscape of materials science and engineering research.  Her talk will cover common laboratory hazards\, routes of exposure\, PPE requirements\, and biological safety. \nShe will also present an overview of the University’s recent transition to Workday Learning and the training requirements for MSE.  Lastly\, she will discuss a near miss box oven incident in Senior Design to illustrate the importance of undergraduate supervision in the lab.  After the presentation\, Gwenn will be happy to answer any questions about the topics covered or any other lab safety topics.
URL:https://seasevents.nmsdev7.com/event/mse-seminar-working-safely-in-the-lab-navigating-common-laboratory-hazards-in-mse-research/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230907T153000
DTEND;TZID=America/New_York:20230907T163000
DTSTAMP:20260404T050022
CREATED:20230726T135006Z
LAST-MODIFIED:20230726T135006Z
UID:10007613-1694100600-1694104200@seasevents.nmsdev7.com
SUMMARY:BE Seminar: "Engineering the immune response at the molecular level" (Jamie Spangler\, Johns Hopkins U.)
DESCRIPTION:The repertoire of naturally occurring proteins is finite and many molecules induce multiple confounding effects\, limiting their efficacy as therapeutics. Recently\, there has been a growing interest in redesigning existing proteins or engineering entirely new proteins to address the deficiencies of molecules found in nature. Researchers have traditionally taken an unbiased approach to protein engineering\, but as our knowledge of protein structure-function relationships advances\, we have the exciting opportunity to apply molecular principles to guide engineering. Leveraging cutting-edge tools and technologies in structural biology and molecular design\, our lab is pioneering a unique structure-based engineering approach to elucidate the mechanistic determinants of protein activity\, in order to inform therapeutic development. Our group is particularly interested in engineering immune proteins\, such as cytokines\, growth factors\, and antibodies\, to bias the immune response for targeted disease treatment. Despite the recent explosive growth of protein drugs within the pharmaceutical market\, limitations such as delivery\, acquired resistance\, and toxicity have impeded realization of the full potential of these therapeutics\, necessitating new approaches that synergize with existing strategies to address clinically unmet needs. This talk will highlight ongoing work in our lab that spans the discovery\, design\, and translation of novel molecular immunotherapeutics for applications ranging from cancer to autoimmune disorders to regenerative medicine.
URL:https://seasevents.nmsdev7.com/event/be-seminar-engineering-the-immune-response-at-the-molecular-level-jamie-spangler-johns-hopkins-u/
LOCATION:216 Moore Building
CATEGORIES:Seminar
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230908T103000
DTEND;TZID=America/New_York:20230908T114500
DTSTAMP:20260404T050022
CREATED:20230831T155550Z
LAST-MODIFIED:20230831T155550Z
UID:10007662-1694169000-1694173500@seasevents.nmsdev7.com
SUMMARY:Fall 2023 GRASP Seminar: GRASP Research Overview - Day 1
DESCRIPTION:GRASP Lab faculty confirmed presentations (where appropriate their presenters)…\n*This is a HYBRID Event with in-person attendance in Wu & Chen Auditorium and virtual attendance on Zoom. \nDr. Mark Yim (Welcome and Introduction)\nDr. Pratik Chaudhari\nDr. Kostas Daniilidis\nDr. Eric Eaton\nDr. Nadia Figueroa\nDr. Dinesh Jayaraman\nDr. Michael Posa\nDr. Jianbo Shi\nDr. René Vidal
URL:https://seasevents.nmsdev7.com/event/fall-2023-grasp-seminar-grasp-research-overview-day-1/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="General Robotics%2C Automation%2C Sensing and Perception (GRASP) Lab":MAILTO:grasplab@seas.upenn.edu
END:VEVENT
END:VCALENDAR