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DTSTART;TZID=America/New_York:20190326T103000
DTEND;TZID=America/New_York:20190326T120000
DTSTAMP:20260409T010236
CREATED:20190222T170006Z
LAST-MODIFIED:20190222T170006Z
UID:10006175-1553596200-1553601600@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Force\, Shape\, and Motion in Collective Cell Migration"
DESCRIPTION:Cells migrate collectively to form tissues\, to heal wounds\, and\, in cancer\, to metastasize. During these biological processes\, the collective migration exhibits a transition from a solid-like state\, wherein cell positions remain fixed\, to a fluid-like state\, wherein cells flow freely and rearrange their positions with their neighbors. Recent mechanics-based models and experiments have demonstrated that this transition can be predicted by average cell shape\, with cells having more elongated shapes and greater perimeters more easily sliding past their neighbors. At each cell-cell interface\, it has been proposed that active actomyosin contraction generated within the cell cortex acts as an effective surface tension tending to reduce each cell’s perimeter. Cell-cell adhesions have the opposite effect\, tending to reduce the surface tension\, thereby increasing the perimeter. It is unclear how cells regulate these competing factors in a confluent monolayer. This presentation will describe our investigation of the factors affecting cell surface tension and cell perimeter\, and the corresponding effects on collective migration. Our experiments use monolayers of Madin-Darby Canine Kidney cells and quantify cell forces\, shapes\, and motion. With this experimental data\, we test the theoretical predictions relating cell shape and motion.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-force-shape-and-motion-in-collective-cell-migration/
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:20190326T150000
DTEND;TZID=America/New_York:20190326T160000
DTSTAMP:20260409T010236
CREATED:20190215T153132Z
LAST-MODIFIED:20190215T153132Z
UID:10006166-1553612400-1553616000@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Computer Security for Emerging Technologies"
DESCRIPTION:As our world becomes more computerized\, security and privacy takes on a prominent role in allowing us to enjoy the benefits of new technologies without the risks. Addressing the new challenges that come with this role requires a change in how we approach and solve problems in computer security. My vision is that we must view computer security as a whole-system property ranging from the physical-layer right up to applications and end-users. In line with this vision\, my approach to computer security involves formulating the right security problem to work on\, addressing design-level issues by constructing strong defenses at the appropriate layer of abstraction\, and challenging common assumptions to understand realistic threats. In this talk\, I will give several examples of my approach and vision\, focusing on emerging technologies that span the digital-to-physical interface. I will cover technical results at various level of abstraction\, including analysis techniques that found exploitable design-level vulnerabilities in closed-source smart home platforms\, a new design for trigger-action platforms that provides strong integrity guarantees\, and an analysis of how realistic attacks on machine learning can occur in the physical world. Finally\, I will share my vision of the future of security and privacy research in an increasingly connected world.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-computer-security-for-emerging-technologies/
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:20190327T150000
DTEND;TZID=America/New_York:20190327T160000
DTSTAMP:20260409T010236
CREATED:20190110T203348Z
LAST-MODIFIED:20190110T203348Z
UID:10006132-1553698800-1553702400@seasevents.nmsdev7.com
SUMMARY:CBE Seminar: "Particle Transport in Soft\, Disordered Media"
DESCRIPTION:
URL:https://seasevents.nmsdev7.com/event/cbe-seminar-particle-transport-in-soft-disordered-media/
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:20190328T110000
DTEND;TZID=America/New_York:20190328T120000
DTSTAMP:20260409T010236
CREATED:20190318T142043Z
LAST-MODIFIED:20190318T142043Z
UID:10006196-1553770800-1553774400@seasevents.nmsdev7.com
SUMMARY:ESE Seminar: "Control of Light and Heat for New Energy Applications"
DESCRIPTION:Light carries energy and heat\, and plays a key role in many energy-conversion processes. The capabilities\nto tailor electromagnetic energy transfer at the nanoscale represent important opportunities for novel\nenergy applications. In this talk I will present two sets of studies integrating experiments and theory. In\nthe first part\, I will discuss how to use near field electromagnetic energy transfer for energy conversion\nand photonic refrigeration. I will begin by showing an experiment achieving a 40-fold enhancement of\nthermophotovoltaic conversion rates\, by reducing the distance between a thermal emitter and a\nphotovoltaic cell to the nanoscale. This lays the foundation for exploring near-field thermophotovoltaics\nfor waste heat recovery. I will then show a demonstration of active photonic refrigeration through control\nof the chemical potential of photons. This points to a fundamentally new\, promising way for solid state\nrefrigeration by combining nanoscale photonics and optoelectronics.\nIn the second part\, I will discuss how to turn the cold outer space to a thermodynamic resource for passive\ncooling and energy efficiency. I will introduce our first demonstration of passive radiative cooling to\nbelow the ambient air temperature under direct sunlight. Next I will show an experiment achieving\npassive cooling to 42 ˚C below the ambient temperature\, pointing to new regimes of applications such as\nfood preservation in remote areas. I will also show results of lowering the temperature of a solar absorber\nby 13 ˚C while maintaining the sunlight absorption\, pointing to significant efficiency improvement for\nsolar cells. Finally\, I will give an overview of my future research directions.
URL:https://seasevents.nmsdev7.com/event/ese-seminar-control-of-light-and-heat-for-new-energy-applications/
LOCATION:PA
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190328T120000
DTEND;TZID=America/New_York:20190328T123000
DTSTAMP:20260409T010236
CREATED:20190321T140623Z
LAST-MODIFIED:20190321T140623Z
UID:10006201-1553774400-1553776200@seasevents.nmsdev7.com
SUMMARY:BE Seminar Series: Applied Topology in Biological Systems
DESCRIPTION:Though rooted in pure mathematics\, algebraic topology has recently enabled novel analysis techniques for biological data. Specifically\, the method called persistent homology which employs ideas from topology to characterize the voids in a complex network. In this talk\, I will briefly introduce persistent homology and give an overview of how we have recently applied this tool to answer questions in neuroscience and semantic learning. Finally\, I will provide additional examples of topology in biology and suggest how current research in pure algebraic topology may soon aid in our understanding of complex systems.
URL:https://seasevents.nmsdev7.com/event/be-seminar-series-applied-topology-in-biological-systems/
LOCATION:Room 337\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar,Graduate,Student
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190328T123500
DTEND;TZID=America/New_York:20190328T130000
DTSTAMP:20260409T010236
CREATED:20190321T140819Z
LAST-MODIFIED:20190321T140819Z
UID:10006202-1553776500-1553778000@seasevents.nmsdev7.com
SUMMARY:BE Seminar Series: Synchronization is Robust in a Computational Model of Neuronal Network Dynamics and Injury
DESCRIPTION:At the macroscale\, synchronization between brain regions is believed to be important for memory and attention. Injury\, including mild traumatic brain injury\, can both increase and decrease synchronization as measured by functional MRI\, but these changes are not well understood and are unknown at a smaller spatial scale. Here\, we examined how injury affects the synchronization between two clusters of neurons. We used a computational network model consisting of excitatory and inhibitory neurons\, derived from Izhikevich integrate-and-fire neurons. We connected two clusters of neurons with different intrinsic firing rates. In this architecture\, two distinct clusters of neurons were directionally connected from one upstream cluster to one downstream cluster. The network remodeled according to the rules of spike-timing-dependent plasticity (STDP)\, resulting in highly synchronized activity between the clusters. We characterized structural subtypes within the network and subsequently explored the functional effects of damaging the network by removing neurons based on their subtype membership.
URL:https://seasevents.nmsdev7.com/event/be-seminar-series-synchronization-is-robust-in-a-computational-model-of-neuronal-network-dynamics-and-injury/
LOCATION:Room 337\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar,Doctoral,Student
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190328T130500
DTEND;TZID=America/New_York:20190328T133000
DTSTAMP:20260409T010236
CREATED:20190321T140953Z
LAST-MODIFIED:20190321T140953Z
UID:10006203-1553778300-1553779800@seasevents.nmsdev7.com
SUMMARY:BE Seminar Series: Heterogeneous\, Multi-Scale and Patient-Speci C Pharmacodynamic Systems Models for Cancer with Clinical Applications
DESCRIPTION:Abstract: Systems models of key signaling pathways in cancer have been extensively used to understand and explore the mechanisms of action of drugs and growth factors on cancer cell signaling. In general\, such models predict the effect of mechanical or chemical stimuli (for e.g. drug dosage) in terms of activity of one or more key downstream proteins such as ERK or AKT which are important regulators of cell fate decisions. Although such models are greatly useful and have helped uncover important emergent properties of signaling networks such as ultrasensitivity\, bistability and oscillations\, they miss many key features that would make them useful in a clinical setting. \n1) The predictions of activity of proteins such as ERK or AKT cannot be directly translated into a clinically useful cell fate parameter such as cell kill rate. \n2) They don’t work as well when there are multiple biological processes operating under different time and length scales such as receptor based signaling (4-6 hours) and cell cycle (24-48 hours). \n3) They cannot incorporate important cellular physics like mechanics of the cell membrane\, ECM and the cytoskeleton. \n4) The parameter space of such models often exhibits sloppy/stiff character which affect the accuracy of predictions and the robustness of these models.  Such analysis are often not done which casts doubt on validity of the predictions. \nHere we have developed a multiscale and multiparadigm framework for systems and pharmacodynamic models that helps us address some of the above shortcomings. This framework was used to successfully integrate a single-cell systems model of ErbB receptor mediated Ras-MAPK and PI3K/AKT pathway with tumor suppressor p53 mediated DNA damage response and cell cycle pathway. The integrated model was used in a clinical setting using gene/protein expression data and drug dosage/schedule information from actual patients of prostate adenocarcinoma. Special mathematical techniques were used to develop algorithms that can integrate models of disparate time scales and time resolutions (continuous vs. discrete time).
URL:https://seasevents.nmsdev7.com/event/be-seminar-series-heterogeneous-multi-scale-and-patient-speci-c-pharmacodynamic-systems-models-for-cancer-with-clinical-applications/
LOCATION:Room 337\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar,Doctoral,Student
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190328T150000
DTEND;TZID=America/New_York:20190328T160000
DTSTAMP:20260409T010236
CREATED:20190215T153509Z
LAST-MODIFIED:20190215T153509Z
UID:10006167-1553785200-1553788800@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Improving Security at an Internet Scale: A Data-Driven Approach"
DESCRIPTION:The state of security across the Internet is poor\, and it has been so for years. Meanwhile\, attacks have become ever more frequent and consequential. How do we actually make meaningful progress? To do so\, we must move beyond the folklore that heavily influences Internet security practices today\, and establish 1) empirical grounding on how and why security problems manifest the way they do across the Internet\, and 2) data-driven methods for improving security at an Internet scale. \n  \nIn this talk\, I will describe my evidence-based and holistic approach to security\, illustrated by my work on improving how we remedy security problems (vulnerabilities\, misconfigurations\, and compromise incidents) for Internet systems. Using a variety of empirical methods\, including Internet-wide network measurements\, user studies\, machine learning\, and code analysis\, my research systematically identifies how security is managed for Internet systems\, factors that contribute to continued vulnerability\, and barriers that prohibit the effective remediation of security concerns. Informed by insights from this work\, I develop methods and systems for more effective remediation at an Internet scale.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-improving-security-at-an-internet-scale-a-data-driven-approach/
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:20190329T110000
DTEND;TZID=America/New_York:20190329T120000
DTSTAMP:20260409T010236
CREATED:20190308T192045Z
LAST-MODIFIED:20190308T192045Z
UID:10006189-1553857200-1553860800@seasevents.nmsdev7.com
SUMMARY:ESE Seminar: "Safety and Robustness Guarantees with Learning in the Loop"
DESCRIPTION:In this talk\, we present recent progress towards developing learning-based control strategies for the design of safe and robust autonomous systems. Our approach is to recognize that machine learning algorithms produce inherently uncertain estimates or predictions\, and that this uncertainty must be explicitly quantified (e.g.\, using non-asymptotic guarantees of contemporary high-dimensional statistics) and accounted for (e.g.\, using robust control/optimization) when designing safety critical systems. We focus on the safety constrained optimal control of unknown systems\, and show that by integrating modern tools from high-dimensional statistics and robust control\, we can provide\, to the best of our knowledge\, the first end-to-end finite data robustness\, safety\, and performance guarantees for learning and control. We further show how this approach can be incorporated into an adaptive polynomial-time algorithm with non-asymptotic convergence rate (regret bound) guarantees. As a whole\, these results provide a rigorous and contemporary perspective on safe reinforcement learning as applied to continuous control. We conclude with our vision for a general theory of safe learning and control\, with the ultimate goal being the design of robust and high performing data-driven autonomous systems.
URL:https://seasevents.nmsdev7.com/event/ese-seminar-safety-and-robustness-guarantees-with-learning-in-the-loop/
LOCATION:PA
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190329T130000
DTEND;TZID=America/New_York:20190329T140000
DTSTAMP:20260409T010236
CREATED:20190320T163846Z
LAST-MODIFIED:20190320T163846Z
UID:10006198-1553864400-1553868000@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Towards Human-Level Recognition via Contextual\, Dynamic\, and Predictive Representations"
DESCRIPTION:Abstract:\n\nExisting state-of-the-art computer vision models usually specialize in single domains or tasks\, while human-level recognition can be contextual for diverse scales and tasks. This specialization isolates different vision tasks and hinders deployment of robust and effective vision systems.  In this talk\, I will discuss contextural image representations for different scales and tasks through the lens of pixel-level prediction. These connections\, built by the study of dilated convolutions and deep layer aggregation\, can interpret convolutional network behaviors and lead to model frameworks applicable to a wide range of tasks. Beyond contextual\, I will argue that image representation should also be dynamic and predictive. I will illustrate the case with input-dependent dynamic networks\, which lead to new insights into the relationship of zero-shot/few-shot learning and network pruning\, and with semantic predictive control\, which utilizes prediction for better driving policy learning. To conclude\, I will discuss the on-going system and algorithm investigations which couple representation learning and real-world interaction to build intelligent agents that can continuously learn from and interact with the world.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-towards-human-level-recognition-via-contextual-dynamic-and-predictive-representations/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
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