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:20200308T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20201101T060000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20210314T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20211107T060000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20220313T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20221106T060000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=America/New_York:20210426T120000 DTEND;TZID=America/New_York:20210426T130000 DTSTAMP:20260407T021158 CREATED:20210120T170525Z LAST-MODIFIED:20210120T170525Z UID:10006592-1619438400-1619442000@seasevents.nmsdev7.com SUMMARY:PSOC Webinar: “Diet and metabolic therapeutics in cancer" (Jason Locasale) DESCRIPTION:Title: “Diet and metabolic therapeutics in cancer” \nPhysical Sciences in Oncology Center PSOC@Penn \nSpring 2021 Webinar Series Mondays at 12:00 noon (EST) \nFor webinar links\, please contact manu@seas.upenn.edu. URL:https://seasevents.nmsdev7.com/event/psoc-webinar-jason-locasale/ LOCATION:PA CATEGORIES:Seminar ORGANIZER;CN="PSOC":MAILTO:manu@seas.upenn.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20210426T130000 DTEND;TZID=America/New_York:20210426T140000 DTSTAMP:20260407T021158 CREATED:20210420T164635Z LAST-MODIFIED:20210420T164635Z UID:10006768-1619442000-1619445600@seasevents.nmsdev7.com SUMMARY:MSE Seminar: "Predicting and Controlling Scalable Quantum Systems" DESCRIPTION:Quantum materials host spectacular excited-state and nonequilibrium effects\, but many of these phenomena remain challenging to control and\, consequently\, technologically underexplored. My group’s research\, therefore\, focuses on how quantum systems behave\, particularly away from equilibrium\, and how we can harness these effects. By creating predictive theoretical and computational approaches to study dynamics\, decoherence and correlations in quantum systems\, our work could enable technologies that are inherently more powerful than their classical counterparts ranging from scalable quantum information processing and networks\, to ultra-high efficiency optoelectronic and energy conversion systems. In this talk\, I will present work from my research group on describing\, from first principles\, the microscopic dynamics\, decoherence and optically-excited collective phenomena in quantum matter at finite temperature to quantitatively link predictions with 3D atomic-scale imaging and quantum spectroscopy. Capturing these dynamics poses unique theoretical and computational challenges. The simultaneous contribution of processes that occur on many time and length-scales have remained elusive for state-of-the-art calculations and model Hamiltonian approaches alike\, necessitating the development of new methods. I will show selected examples of our approach in ab initio design of active defects in quantum materials\, and control of collective phenomena to link these active defects. Building on this\, in the second part of my seminar\, I will present promising physical mechanisms and quantum device architectures for coupling to other qubit platforms via dipole-\, phonon-\, and magnon-mediated interactions. Finally\, I will discuss ideas in directly emulating quantum information systems\, particularly addressing the issues of model abstraction and scalability\, and present an outlook on various co-design strategies with algorithms efforts underway. \nRegister for the Zoom link here. URL:https://seasevents.nmsdev7.com/event/mse-seminar-predicting-and-controlling-scalable-quantum-systems/ LOCATION:PA ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20210427T110000 DTEND;TZID=America/New_York:20210427T120000 DTSTAMP:20260407T021158 CREATED:20210422T125321Z LAST-MODIFIED:20210422T125321Z UID:10006771-1619521200-1619524800@seasevents.nmsdev7.com SUMMARY:ODEI Spotlight: "Understanding Asian Racialized Trauma" DESCRIPTION:Understanding Asian Racialized Trauma \n\n\nDate: Tuesday\, April 27 \n\n\nTime: 11:00AM EDT \n\n\nThis presentation aims to help the Asian international student body of Penn and allies to start a conversation\, centering Asian perspectives\, about the rising anti-Asian hate we are witnessing nationally. We will discuss the unique ways in which Asians living in America are racialized as well as what our trauma responses can look like – in our history\, to our health\, and across our campuses. \nJessica C. Kim\, LCSW is a Korean American licensed clinical social worker with 15 years of experience as a therapist working with youth\, adults\, and families. She received her master’s degree in social work from Columbia University and also completed a fellowship in child and adolescent mental health at Yale University Child Study Center. She is currently a PhD student at the School of Social Policy and Practice at Penn. Her research interests surround the intersection of Asian American youth & families and culturally reflexive mental health practice. \n\n\nREGISTER HERE URL:https://seasevents.nmsdev7.com/event/odei-spotlight-understanding-asian-racialized-trauma/ LOCATION:PA CATEGORIES:Diversity, Equity and Inclusion END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20210428T090000 DTEND;TZID=America/New_York:20210428T130000 DTSTAMP:20260407T021158 CREATED:20210315T135205Z LAST-MODIFIED:20210315T135205Z UID:10006708-1619600400-1619614800@seasevents.nmsdev7.com SUMMARY:Neural Networks for Machine Learning: A Symposium to Honor Kunihiko Fukushima\, Recipient of the 2021 Bower Award and Prize for Achievement in Science DESCRIPTION:The School of Engineering and Applied Science is honored to co-organize\, with Drexel University and the Franklin Institute\, a symposium to honor the Bower Awardee\, Kunihiko Fukushima\, the inventor of the Neocognitron. Dr. Fukushima joins a list of many distinguished laureates of the Franklin Institute – of these over 90 laureates have later received the Nobel Prize. \nDr. Fukushima has received the Bower Award  “for his pioneering research that applied principles of neuroscience to engineering through his invention of the first deep convolutional neural network\, “Neocognitron”—a key contribution to the development of artificial intelligence.” \nhttps://www.fi.edu/awards \nRegister Here: https://tinyurl.com/BowerFukushima URL:https://seasevents.nmsdev7.com/event/neural-networks-for-machine-learning-a-symposium-to-honor-kunihiko-fukushima-recipient-of-the-2021-bower-award-and-prize-for-achievement-in-science/ LOCATION:PA END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20210428T140000 DTEND;TZID=America/New_York:20210428T150000 DTSTAMP:20260407T021158 CREATED:20210423T132201Z LAST-MODIFIED:20210423T132201Z UID:10006774-1619618400-1619622000@seasevents.nmsdev7.com SUMMARY:ODEI Spotlight: FGLI Community Forum DESCRIPTION:Wednesday\, April 28 | 2:00PM EDT\nJoin Penn First Plus\, PENNCAP and CAPS (Counseling and Psychological Services) for a community forum focusing on learning more about CAPS\, its services\, and ways in which FGLI students can utilize CAPS services during the semester and summer. \nZoom Link: P1P/CAPS/PENNCAP Community Forum » URL:https://seasevents.nmsdev7.com/event/odei-spotlight-fgli-community-forum/ LOCATION:PA CATEGORIES:Diversity, Equity and Inclusion END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20210429T200000 DTEND;TZID=America/New_York:20210429T210000 DTSTAMP:20260407T021158 CREATED:20210423T162830Z LAST-MODIFIED:20210423T162830Z UID:10006775-1619726400-1619730000@seasevents.nmsdev7.com SUMMARY:ODEI Spotlight: PAACH & ASAM End-of-Year Celebration DESCRIPTION:PAACH & ASAM \nEnd-of-Year Celebration \nHelp us honor our 2020 and 2021 graduates\, recognize our incredible community leadership\, and reflect on our challenges and triumphs of this past year. \n4pm-6pm: GRAB AND GO GIVEAWAY FOR 2020 & 2021 GRADUATES \nMeet us at a table in front of the ARCH Building (36th and Locust)! Get your PAACH stole\, T-shirts and other goodies!! \n8pm-9pm: VIRTUAL END-OF-YEAR CELEBRATION W/ PAACH & ASAM @ GATHERTOWN \nJoin our virtual gathering to celebrate our diverse\, resilient communities. Congratulate our graduating students and don’t miss a special guest speaker appearance at the beginning!! \nAll students (undergrad\, grad & professional)\, faculty\, staff\, post-docs\, alumni\, and local community partners are welcome! \nRegister Here: bit.ly/paachasam URL:https://seasevents.nmsdev7.com/event/odei-spotlight-paach-asam-end-of-year-celebration/ LOCATION:PA CATEGORIES:Diversity, Equity and Inclusion END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20210429T210000 DTEND;TZID=America/New_York:20210429T220000 DTSTAMP:20260407T021158 CREATED:20210423T132002Z LAST-MODIFIED:20210423T132002Z UID:10006773-1619730000-1619733600@seasevents.nmsdev7.com SUMMARY:ODEI Spotlight: Fireside Chat with Former Ambassador Gary Locke on U.S.-China Relations and Stopping Anti-Asian Racism DESCRIPTION:Thursday\, April 29 | 9PM EDT (Friday\, April 30 | 9AM Beijing Time)\nFormer Ambassador to China\, Former Governor of Washington State\, and Interim President at Bellevue College Gary Locke has been at the forefront of addressing and combating Anti-Asian Racism as U.S.-China relations deteriorate. As a representative of the Asian American community\, he is bringing his diplomatic expertise to join Penn Law Professor Jacques deLisle in discussing U.S.-China relations and the ongoing social campaign against the surge of hatred\, violence\, and discrimination against Asians. \n  \nRegister: Fireside Chat with Ambassador Locke » URL:https://seasevents.nmsdev7.com/event/odei-spotlight-fireside-chat-with-former-ambassador-gary-locke-on-u-s-china-relations-and-stopping-anti-asian-racism/ LOCATION:PA CATEGORIES:Diversity, Equity and Inclusion END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20210430T103000 DTEND;TZID=America/New_York:20210430T113000 DTSTAMP:20260407T021158 CREATED:20210419T181713Z LAST-MODIFIED:20210419T181713Z UID:10006767-1619778600-1619782200@seasevents.nmsdev7.com SUMMARY:MEAM Thesis Defense: "Inkjet Printed Neuromorphic Inference Circuits with Memristor-Based Neuron Network" DESCRIPTION:The deployment of machine learning inference algorithms on Internet of Things (IoT) devices remains challenging. Despite the low fabrication cost\, flexibility\, and low power consumption of the printed electronics for IoT applications\, there are not many demonstrations of printed electronics solving neural network tasks\, mainly due to the poor electrical performance\, low device yield\, and large footprint of printed thin-film transistors. In this study\, we design and fabricate an inkjet-printed all-passive neuromorphic circuit based on printable memristor neuron architecture. The fully inkjet printed memristor is based on Ag/Poly(3\,4-ethylenedioxythiophene): poly(styrenesulfonate) (PEDOT:PSS)/Ag. It shows bipolar resistance switching with low switching voltage (0.1~0.2V)\, good stability (9 days)\, high cyclability (200 cycles)\, and a large ON-to-OFF resistance margin (~40). A write-once-read-many times (WORM) memory is also observed in the proposed memristor when a large voltage (~3V) is applied. To present the neuromorphic computing capability\, we fabricated the circuit that can realize the XOR classification problem with 100% accuracy\, 0.7 cm2 size\, and power consumption of 0.68 mW\, by integrating the inkjet printed memristors with inkjet printed silver resistors. After establishing the device model of the inkjet printed memristors\, we demonstrate via SPICE circuit simulations how a shallow network of memristor-resistors-based passive neuron networks can solve the IRIS classification problem with 95% accuracy and 2 mW power consumption. By providing the fabrication and simulation of the proposed memristor-based shallow multilayer perceptron\, this thesis paves the way for low-power and low-cost neuromorphic inference devices for future applications of IoT. URL:https://seasevents.nmsdev7.com/event/meam-thesis-defense-inkjet-printed-neuromorphic-inference-circuits-with-memristor-based-neuron-network/ 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 END:VCALENDAR