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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20191118T120000
DTEND;TZID=America/New_York:20191118T130000
DTSTAMP:20260408T112305
CREATED:20190919T184656Z
LAST-MODIFIED:20190919T184656Z
UID:10006295-1574078400-1574082000@seasevents.nmsdev7.com
SUMMARY:PSOC Seminar : "Molecular microscopy without labels: Seeing the chemistry in biomedical  science"
DESCRIPTION:
URL:https://seasevents.nmsdev7.com/event/psoc-seminar-molecular-microscopy-without-labels-seeing-the-chemistry-in-biomedical-science/
LOCATION:Room 337\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="PSOC":MAILTO:manu@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20191119T103000
DTEND;TZID=America/New_York:20191119T120000
DTSTAMP:20260408T112305
CREATED:20190927T174931Z
LAST-MODIFIED:20190927T174931Z
UID:10006304-1574159400-1574164800@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Origami Micro\, Bio\, and Nanosystems "
DESCRIPTION:Due to the inherent planarity of conventional micro and nanofabrication\, it is challenging to pattern and assemble micro\, bio\, and nano-materials and devices in all three dimensions. Origami inspired mechanical assembly by curving\, bending\, and folding of appropriately designed micro and nanopatterned precursors provides a high-throughput solution to address this challenge.\nIn this talk\, I will discuss how the engineering of thin film differential-stress\, capillary forces\, and swelling can be used to mechanically shape materials and devices in 3D. I will discuss geometric design principles\, mechanics considerations\, fabrication processes\, and applications of 3D micro\, bio and nanosystems that have been assembled by curving\, bending\, and folding. Examples include capillary-force assisted self-folding of micro/nanoscale polyhedra with lithographically patterned surfaces\, thermoresponsive bending and folding of atomically thin materials such as graphene and MoS2\, optical and electrical shell sensors assembled using differential stress and thermobiochemically stimuli responsive shape-shifting hydrogels and microgrippers for drug delivery\, tissue engineering\, and surgery.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-origami-micro-bio-and-nanosystems/
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:20191119T110000
DTEND;TZID=America/New_York:20191119T120000
DTSTAMP:20260408T112305
CREATED:20190918T164828Z
LAST-MODIFIED:20190918T164828Z
UID:10006289-1574161200-1574164800@seasevents.nmsdev7.com
SUMMARY:ESE Seminar: "Enabling the SmartGrid with IoT Sensors and Edge-Cloud Analytics"
DESCRIPTION:Abstract: Wireless sensors and edge-cloud analytics have the potential to gather and process vast amounts of data about the physical world\, offering radical new insights about everything from critical infrastructure to interpersonal interactions. But designing\, deploying\, and operating geographically-distributed systems consisting a hierarchy of sensing\, storage\, compute\, and communication elements raises interesting new challenges across the system stack. In this talk\, we will discuss our experiences designing new IoT systems to address several power and power grid monitoring problems. In particular\, this talk will focus on three systems—PowerBlade\, Triumvi\, and GridWatch—and their motivation\, design\, and deployment. PowerBlade explores how to cost-effectively characterize\, capture\, and classify widespread plug-load energy usage—representing the fastest growing and least understood segment of end-use energy consumption—across hundreds of homes and offices representing tens of thousands of sensors.\nTriumvi explores how to make circuit level energy metering\, useful for a variety of facilities trending\, energy savings\, and fault detection & diagnostics applications\, more efficient and scalable. Finally\, GridWatch explores how to scalably and cost-effectively detect and respond to the power outages that stymie residential and business activity in under-developed power grids using mobile and fixed sensors\, data analytics\, and reporting systems in Sub-Saharan Africa\, finding that conventional approaches to outage detection systems vastly underreport customer experiences. These systems all share a similar architecture\, require new sensor devices and edge-cloud data processing\, and wrestle with power management and networking. But they ultimately demonstrate both the tremendous potential and the significant challenges of this nascent computing class.
URL:https://seasevents.nmsdev7.com/event/ese-seminar-enabling-the-smartgrid-with-iot-sensors-and-edge-cloud-analytics/
LOCATION:PICS Conference Room 534 – A Wing \, 5th Floor\, 3401 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20191119T150000
DTEND;TZID=America/New_York:20191119T160000
DTSTAMP:20260408T112305
CREATED:20191111T144811Z
LAST-MODIFIED:20191111T144811Z
UID:10006331-1574175600-1574179200@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Reducing Errors in Quantum Computation via Program Transformation"
DESCRIPTION:Abstract:  \nQuantum computing promises exponential speedups for an important class of problems. While quantum computers with few dozens of qubits have been demonstrated\, these machines suffer from high rate of gate errors. Such machines are operated in the Noisy Intermediate Scale Quantum (NISQ) mode of computing where the output of the machine can be erroneous. In this talk\, I will discuss some of our recent work that aims to improve the reliability of NISQ computers by developing software techniques to mitigate the hardware errors. Our first= work (ASPLOS 2019) exploits the variability in the error rates of qubits to steer more operations towards qubits with lower error rates and avoid qubits that are error-prone. Our second work (MICRO 2019) looks at executing different versions of the programs each crafted to cause diverse mistakes so that the machine becomes less vulnerable to correlated errors. Our third work (MICRO 2019) looks at exploiting the state-dependent bias in measurement errors (state 1 is more error prone than state 0) and dynamically flips the state of the qubit to perform the measurement in the stronger state. We perform our evaluations on real quantum machines from IBM and demonstrate significant improvement in the overall system reliability. If time permits\, I will also briefly discuss the hardware aspect of designing quantum computers\, including cryogenic processor and cryogenic memory system.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-reducing-errors-in-quantum-computation-via-program-transformation/
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:20191119T160000
DTEND;TZID=America/New_York:20191119T180000
DTSTAMP:20260408T112305
CREATED:20191115T164621Z
LAST-MODIFIED:20191115T164621Z
UID:10006335-1574179200-1574186400@seasevents.nmsdev7.com
SUMMARY:ESE Dissertation Defense: David Q. Sun
DESCRIPTION:Title: “Understanding Coalition Dynamics in Multiparty Conflicts: An Agent-Based Approach with Multi-Objective Spatial Model” \nAbstract: Through this research\, we explore the dynamics of coalition formation in multi-agent competitive games where each agent has its unique characteristics. We do so by constructing an abstract formal model\, and a more complex agent-based model. In the broader context of multiparty competitive games (which are closely related to civil wars)\, we make several critical assumptions regarding the motivations for coalition formation (and dis-integration) and view coalitions as an outcome of rational\, utilitarian choices made by the agents. Accordingly\, we investigate two specific types of such problems. The first problem is the existence and characteristics of the stable states. We investigate when such stable states are viable\, and potential path dependency on initial states. The second problem is the influence of certain changes in agent properties (objective position in Euclidean space\, normalized power size\, etc.) on the dynamics of coalition formations. In particular\, we are interested in learning how such characteristics influence the evolution surrounding stable states. \nWe approach the problems using two set of methods. First\, we present a formal\, mathematical model inspired by theories from non-cooperative games and the legislative coalition formations\, to explore the existence and characteristics of the stable states. Later\, we develop an agent-based counterpart that extends the formal model. We leverage computational modeling to explore the system dynamics at scale. The findings on the characteristics of coalition dynamics model are further validated through both statistical analysis and empirical case studies\, where we also compare the model predictions with those from alternative coalition theories from relevant fields. \nCommittee Members:  \nProf. Tony E. Smith (Chair) Professor of Electrical and Systems Engineering\, University of Pennsylvania \nBarry G. Silverman (Advisor) Professor of Electrical and Systems Engineering\, University of Pennsylvania \nSteven O. Kimbrough (Reader) Professor of Operations\, Information and Decisions\, Wharton School\, University of Pennsylvania \nDr. Alexander Kalloniatis (External Reader) Defense Science and Technology Organisation\, Australian Department of Defense
URL:https://seasevents.nmsdev7.com/event/ese-dissertation-defense-david-q-sun/
LOCATION:Room 307\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20191120T100000
DTEND;TZID=America/New_York:20191120T113000
DTSTAMP:20260408T112305
CREATED:20191113T160557Z
LAST-MODIFIED:20191113T160557Z
UID:10006333-1574244000-1574249400@seasevents.nmsdev7.com
SUMMARY:ESE Thesis Defense: Cassiano Becker
DESCRIPTION:Title: “Data-Driven Modeling\, Analysis and Design of Networked Dynamical Systems with Applications in Neuroscience” \nAbstract: In this thesis\, we provide contributions to the modeling\, analysis and design of networked dynamical systems from a data-driven perspective. Our approach is grounded on the integration of concepts and tools from graph theory\, control theory\, optimization\, and statistics. In particular\, we develop methodologies that can be applied to challenging\, high-dimensional problems where only partial or summarized information about the structure and function of a complex system is available. We validate our methods across different application domains\, most remarkably with large-scale neuroimaging datasets that follow state-of-the-art acquisition techniques and span multiple individuals and experimental paradigms. \nStructurally\, the contributions of this thesis have been divided in three parts. In the first part\, we address the topic of inference and analysis of complex networks. In particular\, we establish data-driven models and algorithms that approximate measures of functional connectivity\, derived from a system’s potentially complex dynamics\, as a matrix mapping based on structural connectivity information. Using tools from spectral graph theory\, we propose a mapping technique that is able to systematically account for the role of indirect structural walks in the generation of functional associations. We then apply our method to obtain accurate structural-to-functional connectivity mappings for brain networks derived from functional magnetic resonance (fMRI) and diffusion imaging measurements\, and perform a series of analyses of the generated mappings in terms of their spectral characteristics. \nIn the second part\, we devote our attention to the problem of identification of system dynamics. First\, we generate data-driven dynamic models that capture the influence of cognitive inputs on brain signals that are observed through fMRI measurements. More specifically\, we extend subspace system identification methods to create large-scale\, linear time-invariant representations for both single and multiple-individual configurations of a motor task-fMRI experiment\, and apply control-theoretic tools to analyze the dynamical characteristics of the resulting models. Subsequently\, to abate some general limitations of linear time-invariant models\, we propose three novel system identification approaches. Specifically\, we (i) enable the identification of state-space linear time-varying models through a generalized expectation maximization method\, (ii) perform the estimation of linear parameter-varying models having a latent parameter space via Bayesian variational inference\, and (iii) implement blind subspace identification using Riemannian optimization. \nIn the last part of the thesis\, we focus on the topic of network design for dynamic performance. More specifically\, we address the problem of finding edge weights of a linear networked dynamical system such that certain bounds on its controllability metrics are satisfied. In particular\, we consider the worst-case (i.e.\, minimum eigenvalue of the controllability Gramian) and average-case (i.e.\, trace of the inverse controllability Gramian) metrics. Algorithmically\, we provide a principled convex relaxation approach that exhibits guaranteed convergence and known global optimal value. Our methodology includes the possibility to consider cost functions over the edge weights which can be used\, for example\, to promote solutions with higher sparsity in the required edge modifications. Finally\, we verify our results with numerical simulations over many random network realizations\, and with multi-agent and power system topologies. \nAdvisor:\nVictor M. Preciado\, Associate Professor of Electrical and System Engineering\nGraduate Chair of Electrical and System Engineering\nDepartment of Electrical and Systems Engineering\nDepartment of Applied Mathematics and Computational Science\nUniversity of Pennsylvania \nCommittee:\nGeorge J. Pappas (chair)\, Full Professor and Department Chair\nDepartment of Electrical and Systems Engineering\, Department of Computer and Information Sciences\, Department of Mechanical Engineering and Applied Mechanics\nUniversity of Pennsylvania \nDanielle S. Bassett (member)\, J. Peter Skirkanich Professor\nDepartment of Bioengineering\, Department of Electrical and Systems Engineering Department of Physics and Astronomy\, Department of Neurology\, Department of Psychiatry\nUniversity of Pennsylvania \nSergio Pequito (member)\, Assistant Professor\nDepartment of Industrial and Systems Engineering\nDepartment of Electrical\, Computer\, and Systems Engineering\nRensselaer Polytechnic Institute
URL:https://seasevents.nmsdev7.com/event/ese-thesis-defense-cassiano-becker/
LOCATION:Room 307\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20191120T150000
DTEND;TZID=America/New_York:20191120T160000
DTSTAMP:20260408T112305
CREATED:20190729T192818Z
LAST-MODIFIED:20190729T192818Z
UID:10006252-1574262000-1574265600@seasevents.nmsdev7.com
SUMMARY:CBE Seminar: "Soft\, Wet\, and Sticky: Viscous Forces and Elasticity in Wet Adhesion”
DESCRIPTION:Abstract: \nUnderstanding and harnessing the coupling between lubrication pressure\, elasticity\, and surface interactions provides materials design strategies for applications such as adhesives\, coatings\, microsensors\, and biomaterials. This presentation will discuss our efforts to understand how soft materials make contact and adhere under dynamic conditions in fluid environments. Measurements of interactions between soft surfaces will show how elastic films deform due to viscous forces and influence adhesion. In particular\, we will discuss conditions under which elasticity favors both dynamic and static adhesion in fluid environments. In the second part of the presentation\, we will show practical implications for adhesives on soft surfaces such as skin. More specifically\, we will discuss how the presence of water influences contact formation and the performance of adhesives. We will also show qualitative differences in debonding mechanism caused by the elasticity of the substrate.
URL:https://seasevents.nmsdev7.com/event/cbe-seminar-soft-wet-and-sticky-viscous-forces-and-elasticity-in-wet-adhesion/
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:20191121T104500
DTEND;TZID=America/New_York:20191121T114500
DTSTAMP:20260408T112305
CREATED:20191115T171050Z
LAST-MODIFIED:20191115T171050Z
UID:10006336-1574333100-1574336700@seasevents.nmsdev7.com
SUMMARY:MSE Seminar: "Exploring Photonic Materials with Symmetry and Topology"
DESCRIPTION:Symmetry and topology are fundamental notions existing in all kinds of natural systems\, from spiral galaxies and hurricanes to amino acids in molecules and non-trivial topologically protected electronic states in condensed matter. A stream of photons is typically topologically trivial\, nevertheless\, its full-vector nature intrinsically endows light with full capability of creating and carrying unique symmetry and topology\, especially non-Hermitian symmetries that cannot be easily implemented in condensed matter. Explorations of symmetry and topology on a photonic platform not only deepen our understanding of fundamental physics\, but also enable novel material properties to facilitate technological breakthroughs for photonic applications. In this seminar\, I will present our recent efforts on investigating the complex optical potentials with the non-Hermitian parity-time symmetry for the next generation of optical communication and information technology. We demonstrated an orbital angular momentum (OAM) microlaser that structures and twists the lasing radiation at the microscale\, which can provide an additional OAM-based information dimension to meet the growing demand for information capacity. By strategically interfacing non-Hermitian photonic materials and topological physics\, we realized the dynamic control of robust topological transmission links of light inside the bulk of a photonic topological insulator\, routing optical signals in a highly flexible and scalable manner.
URL:https://seasevents.nmsdev7.com/event/mse-seminar-exploring-photonic-materials-with-symmetry-and-topology/
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:20191121T120000
DTEND;TZID=America/New_York:20191121T130000
DTSTAMP:20260408T112305
CREATED:20191111T201454Z
LAST-MODIFIED:20191111T201454Z
UID:10006332-1574337600-1574341200@seasevents.nmsdev7.com
SUMMARY:BE Seminar: "Nanofluidic Technologies for Biomolecule Manipulation"
DESCRIPTION:In the last 20 years\, microfabrication techniques have allowed researchers to miniaturize tools for a plethora of bioanalytical applications.  In addition to better sensitivity\, accuracy and precision\, scaling down the size of bioanalytical tools has led to the exploitation of new technologies to further manipulate biomolecules in ways that has never before been achieved. For example\, when microfluidic channels are on the same order of magnitude of the electric double layers that form due to localized charge at the surfaces\, there exists unique physics that create different flow phenomenon\, such as analyte concentration and/or separation\, mainly due to the couples physics of electrostatics and fluid dynamics. This talk will outline the basis of such interesting phenomena\, such as nanofluidic  separation and concentration\, and well as probe the applications of such coupled systems\, for example\, handheld DNA detection. Most importantly\, we will focus on the most recent work in the Pennathur lab in this field —  biopolar electrode (BPE)-based phenomenon. Bipolar electrodes (BPE) have been studied in microfluidic systems over the past few decades\, and through rigorous experimentally-validated modeling of the rich combined physics of fluid dynamics\, electrokinetics\, and electrochemistry at BPEs\, I will show the potential of utilizing microfluidic-based BPEs for the design and development of low power\, accurate\, low volume fluid pumping mechanisms\, with the ultimate goal of integration into wearable drug delivery and µTAS systems.
URL:https://seasevents.nmsdev7.com/event/be-seminar-nanofluidic-technologies-for-biomolecule-manipulation/
LOCATION:PICS Conference Room 534 – A Wing \, 5th Floor\, 3401 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20191121T150000
DTEND;TZID=America/New_York:20191121T160000
DTSTAMP:20260408T112305
CREATED:20191114T135643Z
LAST-MODIFIED:20191114T135643Z
UID:10006334-1574348400-1574352000@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: " Flash Boys 2.0: Frontrunning\, Transaction Reordering\, and Consensus Instability in Decentralized Exchanges"
DESCRIPTION:Abstract: \nCryptocurrencies and blockchains are often heralded as the keys to a new era of financial transparency and fairness. Decentralized exchanges (DEXes)\, in particular\, run directly on blockchains. They manage custody of traded assets\, preventing theft by exchange operators\, and provide a globally visible and accessible trading platform that seems egalitarian. \nOur research\, though\, has revealed that DEXes are in rife with Wall-Street-like manipulation—and worse. Arbitrage bots\, automated trading programs written as smart contracts\, continuously exploit DEXes to profit at the expense of ordinary users. I’ll talk about the increasingly sophisticated strategies used by arbitrage bots\, where their gains come from\, and how game-theoretic modeling closely reflects their real-world behavior. I’ll also recount their rise as an inadvertent side-effect of our research. \nDEX arbitrage doesn’t just impact DEX users\, but is suggestive of widespread malfeasance in cryptocurrency exchanges and also poses an unexpected\, systemic threat to the foundational stability of blockchains such as Ethereum today.
URL:https://seasevents.nmsdev7.com/event/cis-seminar/
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:20191122T140000
DTEND;TZID=America/New_York:20191122T150000
DTSTAMP:20260408T112305
CREATED:20190923T144253Z
LAST-MODIFIED:20190923T144253Z
UID:10006298-1574431200-1574434800@seasevents.nmsdev7.com
SUMMARY:PICS Seminar: "Molecular Simulation and Machine Learning as Routes to Exploring Structure and Phase Behavior in Atomic and Molecular Crystals"
DESCRIPTION:Abstract: Organic molecular crystals frequently exist in multiple forms known as polymorphs. Structural differences between crystal polymorphs can affect desired properties\, such as bioavailability of active pharmaceutical formulations\, lethality of pesticides\, or electrical conductivity of organic semiconductors. Crystallization conditions can influence polymorph selection\, making an experimentally driven hunt for polymorphs difficult. Such efforts are further complicated when polymorphs initially obtained under a particular experimental protocol “disappear” in favor of another polymorph in subsequent repetitions of the experiment. Consequently\, theory and computational can potentially play a vital role in mapping the landscape of crystal polymorphism. Traditional crystal structure prediction methods face their own challenges\, and therefore\, new approaches are needed. In this talk\, I will show\, by leveraging concepts from mathematics and statistical mechanics in combination with techniques of molecular simulation\, traditional methods\, and machine learning\, that a new paradigm in crystal structure prediction may be emerging. Examples demonstrating prediction of structures of crystals\, co-crystals\, and phase transitions will be presented.
URL:https://seasevents.nmsdev7.com/event/pics-seminar-molecular-simulation-and-machine-learning-as-routes-to-exploring-structure-and-phase-behavior-in-atomic-and-molecular-crystals/
LOCATION:PICS Conference Room 534 – A Wing \, 5th Floor\, 3401 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Colloquium
ORGANIZER;CN="Penn Institute for Computational Science (PICS)":MAILTO:dkparks@seas.upenn.edu
END:VEVENT
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