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DTSTART;TZID=America/New_York:20190318T120000
DTEND;TZID=America/New_York:20190318T130000
DTSTAMP:20260409T025332
CREATED:20190110T202944Z
LAST-MODIFIED:20190110T202944Z
UID:10006130-1552910400-1552914000@seasevents.nmsdev7.com
SUMMARY:PSOC Spring 2019 Seminar Series: Alexander Anderson\, Ph.D.
DESCRIPTION:
URL:https://seasevents.nmsdev7.com/event/psoc-spring-2019-seminar-series-alexander-anderson-ph-d/
LOCATION:Room 337\, Towne Building\, 220 South 33rd 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:20190319T103000
DTEND;TZID=America/New_York:20190319T120000
DTSTAMP:20260409T025332
CREATED:20190222T164742Z
LAST-MODIFIED:20190222T164742Z
UID:10006174-1552991400-1552996800@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Nanoparticle Heating for Therapeutics\, Regenerative Medicine and Diagnostics"
DESCRIPTION:Gold and iron oxide nanoparticles have unique and tunable properties that allow transduction of optical (light)\, or radiofrequency (RF) electromagnetic fields to affect heating of biomaterials at multiple scales. This talk will explore the underlying physics and relative advantages of each form of nanoparticle heating for therapeutic treatment of cancer or other disease by heating (i.e. magnetic hypothermia or photothermal cancer therapy). In addition\, this same heating helps improve regenerative medicine by “nanowarming” vitrified (i.e. cryopreserved) biomaterials back to a transplantable state through rapid and uniform warming that avoids crystallization and cracking. This nanoparticle warming addresses an important technology bottleneck for both large systems (i.e. tissues and organs) and smaller systems (i.e. embryos and oocytes). In summary\, this talk demonstrates the growing opportunites for nanoparticle heating in biomedical applications.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-nanoparticle-heating-for-therapeutics-regenerative-medicine-and-diagnostics/
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:20190319T150000
DTEND;TZID=America/New_York:20190319T160000
DTSTAMP:20260409T025332
CREATED:20190215T152018Z
LAST-MODIFIED:20190215T152018Z
UID:10006163-1553007600-1553011200@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Security for All: Modeling Structural Inequities to Design More Secure Systems"
DESCRIPTION:Users often fall for phishing emails\, reuse simple passwords\, and fail to effectively utilize “provably” secure systems. These behaviors expose users to significant harm and frustrate industry practitioners and security researchers alike. As consequences of security breaches become ever more grave\, it is important to study why humans behave seemingly irrationally. In this talk\, I will illustrate how modeling the effects of structural inequities — variance in skill\, socioeconomic status\, as well as culture and gender identity — can both explain apparent irrationality in users’ security behavior and offer tangible improvements in industry systems. Modeling and mitigating security inequities requires a combination of techniques from economic\, data scientific\, and social science methodologies to develop new tools for systematically understanding and mitigating insecure behavior. \nThrough novel experimental methodology\, I empirically show strong evidence of bounded rationality in security behavior: Users make mathematically modelable tradeoffs between the protection offered by security behaviors and the costs of practicing those behaviors\, which even in a highly usable system may outweigh the benefits\, especially for less resourced users. These findings emphasize the need for industry systems that balance structural inequities and accommodate behavioral variance between users rather than one-size-fits-all security solutions. More broadly\, my techniques for modeling and accounting for inequities have offered key insights in growing technical areas beyond security\, including algorithmic fairness.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-security-for-all-modeling-structural-inequities-to-design-more-secure-systems/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190320T110000
DTEND;TZID=America/New_York:20190320T120000
DTSTAMP:20260409T025332
CREATED:20190215T152405Z
LAST-MODIFIED:20190215T152405Z
UID:10006164-1553079600-1553083200@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: " Natural language to structured knowledge representations"
DESCRIPTION:Computing machinery such as smartphones are ubiquitous\, and so will be smart home appliances\, self-driving cars and robots in the near future. Enabling these machines with natural language understanding abilities opens up potential opportunities for the broader society to benefit from\, e.g.\, in accessing the world’s knowledge\, or in controlling complex machines with little effort.\n\nIn this talk\, we will focus on accessing knowledge stored in knowledge-bases and text documents in a colloquial manner. We will do so by processing language into programs that perform reasoning. The main questions we will explore are 1) which inductive biases on neural architectures are well suited for processing language to programs? 2) what is the role of linguistic structure? and 3) can we build models which produce answers without generating an explicit program?
URL:https://seasevents.nmsdev7.com/event/cis-seminar-natural-language-to-structured-knowledge-representations/
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:20190320T150000
DTEND;TZID=America/New_York:20190320T160000
DTSTAMP:20260409T025332
CREATED:20190110T203159Z
LAST-MODIFIED:20190110T203159Z
UID:10006131-1553094000-1553097600@seasevents.nmsdev7.com
SUMMARY:John A. Quinn Distinguished Lecture: "Some Uses and Misuses of Equilibrium Thermodynamics"
DESCRIPTION:We will discuss a number of legitimate and of wrongful applications of the Second Law of Thermodynamics\, in particular\, in the screening of chemical processes. We consider how ideas of equilibrium thermodynamics and statistical mechanics can be of value in some non-equilibrium situations\, particularly in the cases of very slow diffusion and reaction.
URL:https://seasevents.nmsdev7.com/event/john-a-quinn-distinguished-lecture-some-uses-and-misuses-of-equilibrium-thermodynamics/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Distinguished Lecture
ORGANIZER;CN="Chemical and Biomolecular Engineering":MAILTO:cbemail@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190321T104500
DTEND;TZID=America/New_York:20190321T114500
DTSTAMP:20260409T025332
CREATED:20190222T211449Z
LAST-MODIFIED:20190222T211449Z
UID:10006179-1553165100-1553168700@seasevents.nmsdev7.com
SUMMARY:MSE Inaugural David P. Pope Lecture: "High-entropy alloys: what’s all the fuss about?"
DESCRIPTION:
URL:https://seasevents.nmsdev7.com/event/mse-inaugural-david-p-pope-lecture-high-entropy-alloys-whats-all-the-fuss-about/
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:20190321T150000
DTEND;TZID=America/New_York:20190321T160000
DTSTAMP:20260409T025332
CREATED:20190215T152633Z
LAST-MODIFIED:20190215T152633Z
UID:10006165-1553180400-1553184000@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Machine Learning: Why Do Simple Algorithms Work So Well?"
DESCRIPTION:While state-of-the-art machine learning models are deep\, large-scale\, sequential and highly nonconvex\, the backbone of modern learning algorithms are simple algorithms such as stochastic gradient descent\, or Q-learning (in the case of reinforcement learning tasks). A basic question endures—why do simple algorithms work so well even in these challenging settings?\n\nThis talk focuses on two fundamental problems: (1) in nonconvex optimization\, can gradient descent escape saddle points efficiently? (2) in reinforcement learning\, is Q-learning sample efficient? We will provide the first line of provably positive answers to both questions. In particular\, we will show that simple modifications to these classical algorithms guarantee significantly better properties\, which explains the underlying mechanisms behind their favorable performance in practice.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-machine-learning-why-do-simple-algorithms-work-so-well/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
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