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DTSTART;TZID=America/New_York:20211122T120000
DTEND;TZID=America/New_York:20211122T130000
DTSTAMP:20260406T185035
CREATED:20211025T142239Z
LAST-MODIFIED:20211025T142239Z
UID:10006940-1637582400-1637586000@seasevents.nmsdev7.com
SUMMARY:PSOC@Penn Seminar: "Elucidating the role of cell-environment interactions in somatic cell acquisition of stemness” (Timothy L. Downing)
DESCRIPTION:Room: Towne 225/Raisler Lounge \nFor zoom link\, contact manu@seas.upenn.edu.
URL:https://seasevents.nmsdev7.com/event/psocpenn-seminar-elucidating-the-role-of-cell-environment-interactions-in-somatic-cell-acquisition-of-stemness-timothy-l-downing/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="PSOC":MAILTO:manu@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211122T153000
DTEND;TZID=America/New_York:20211122T170000
DTSTAMP:20260406T185035
CREATED:20211122T153336Z
LAST-MODIFIED:20211122T153336Z
UID:10006976-1637595000-1637600400@seasevents.nmsdev7.com
SUMMARY:ESE Ph.D. Thesis Defense: "Computer-aided Clinical Trials for Medical Devices"
DESCRIPTION:Life-critical medical devices require robust safety and efficacy to treat patient populations with\npotentially large inter-patient and intra-patient variability. Today\, the de facto standard for evaluating medical devices is the randomized clinical trial. However\, even after years of device development many clinical trials fail. For example\, in the Rhythm ID Goes Head to Head Trial (RIGHT) the risk for inappropriate therapy actually increased relative to control treatments.\nWith recent advances in physiological modeling and devices incorporating more complex software components\, population-level device outcomes can be obtained with large-scale simulations. Consequently\, there is a need to explore alternative approaches to evaluate devices within a clinical trial context. \nThis work presents a framework to utilize computer modeling and simulation to improve the evaluation of medical device software\, such as the algorithms in  implantable cardioverter defibrillators (ICD). Within this framework\, virtual cohorts are generated and combined with real data to evaluate the efficacy of ICD algorithms while also quantifying the uncertainty due to the simulation. Results predicting the outcome of RIGHT and the improvement in statistical power while reducing the sample size are presented. Next\, an approach to improving the performance of the device with Bayesian optimization is presented. Devices can degrade in performance when deployed to populations initially excluded in a clinical trial. For example\, ICDs have shown increased rates of inappropriate therapy in patients with congenital heart disease. Bayesian optimization can be used to automate the adjustment of device parameters and fine-tune performance for a given cohort with minimal intervention. Our approach  identifies parameters which improve the performance of the device with outcomes aligned with the Multicenter Automatic Defibrillator Implantation Trial–Reduce Inappropriate Therapy (MADIT-RIT) clinical trial.
URL:https://seasevents.nmsdev7.com/event/ese-ph-d-thesis-defense-computer-aided-clinical-trials-for-medical-devices/
LOCATION:Zoom – Meeting ID 916 4694 2571
CATEGORIES:Dissertation or Thesis Defense
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211123T110000
DTEND;TZID=America/New_York:20211123T120000
DTSTAMP:20260406T185035
CREATED:20211115T141126Z
LAST-MODIFIED:20211115T141126Z
UID:10006969-1637665200-1637668800@seasevents.nmsdev7.com
SUMMARY:ESE Fall Colloquium Seminar - "New Materials for Three Dimensional Ferroelectric Microelectronics"
DESCRIPTION:In the last decade\, there have been major changes in the families of ferroelectric materials available for integration with CMOS electronics.  These new materials\, including Hf1-xZrxO2\, Al1-xScxN\, Al1-xBxN and Zn1-xMgxO\, offer the possibility of new functionalities. This talk will discuss the possibility of exploiting the 3rd dimension in microelectronics for functions beyond interconnects\, enabling 3D non-von Neumann computer architectures exploiting ferroelectrics for local memory\, logic in memory\, digital/analog computation\, and neuromorphic functionality. This approach circumvents the end of Moore’s law in 2D scaling\, while simultaneously overcoming the “von Neumann bottleneck” in moving instructions and data between separate logic and memory circuits. Computing accounts for 5 – 15% of worldwide energy consumption. In the U.S.\, data centers alone are projected to consume approximately 73 billion kWh in 2020. While recent efficiency gains in hardware have partially mitigated the rising energy consumption of computing\, major gains are achievable in a paradigm shift to 3D computing systems\, especially those that closely couple memory and logic.  The talk will cover the relevant materials\, their deposition conditions\, and what is known about the wake-up\, fatigue\, and retention processes.
URL:https://seasevents.nmsdev7.com/event/ese-fall-colloquium-seminar-new-materials-for-three-dimensional-ferroelectric-microelectronics/
LOCATION:Zoom – Meeting ID 954 7393 2132\, PA\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211123T153000
DTEND;TZID=America/New_York:20211123T163000
DTSTAMP:20260406T185035
CREATED:20211102T174315Z
LAST-MODIFIED:20211102T174315Z
UID:10006954-1637681400-1637685000@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "From Seeing to Doing: Understanding and Interacting with the Real World"
DESCRIPTION:Visual intelligence is a cornerstone of intelligence\, for both humans and machines. In this talk\, I go over a number of research work by our group on the topics of visual perception and robotic learning. The guiding principle of our work is inspired by the Gibsonian belief that perceptual and robotic learning should be based on an ecology approach\, solving tasks and problems approximating the real-world setting and scale.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-from-seeing-to-doing-understanding-and-interacting-with-the-real-world/
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211129T120000
DTEND;TZID=America/New_York:20211129T130000
DTSTAMP:20260406T185035
CREATED:20210913T141946Z
LAST-MODIFIED:20210913T141946Z
UID:10006893-1638187200-1638190800@seasevents.nmsdev7.com
SUMMARY:PSOC@Penn Seminar: “Tissues fluidification in Invasive breast cancer” (Giorgio Scita)
DESCRIPTION:Room: Towne 225/Raisler Lounge \nFor zoom link\, contact manu@seas.upenn.edu.
URL:https://seasevents.nmsdev7.com/event/psocpenn-seminar-giorgio-scita/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="PSOC":MAILTO:manu@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211130T100000
DTEND;TZID=America/New_York:20211130T113000
DTSTAMP:20260406T185035
CREATED:20211013T130316Z
LAST-MODIFIED:20211013T130316Z
UID:10006928-1638266400-1638271800@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Predictive Simulations of High-rise Building Peak Wind Pressure Loads"
DESCRIPTION:Computational fluid dynamics (CFD) can inform sustainable design of buildings and cities in terms of optimizing pedestrian wind comfort\, air quality\, thermal comfort\, energy efficiency\, and resiliency to extreme wind events. An important challenge is that the accuracy of CFD results can be compromised by the large natural variability and complex physics that are characteristic of urban flow problems. In this talk\, I will present an investigation of the potential of large-eddy simulations (LES) towards predicting peak wind pressure loads on high rise-buildings. First\, the sensitivity of LES results to the turbulence in the incoming boundary layer wind is quantified and the results are validated against wind tunnel experiments. Next\, high resolution LES are employed to gain a better understanding of the flow physics that govern small-scale extreme suction events observed in specific locations on the façade. Finally\, a multi-fidelity simulation strategy\, aimed at reducing the overall computational cost of LES-based cladding load predictions\, is explored. The talk will conclude with an overview of ongoing work on full-scale wind pressure measurements on high-rise buildings for future validation and uncertainty quantification studies.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-predictive-simulations-of-high-rise-building-peak-wind-pressure-loads/
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:20211130T110000
DTEND;TZID=America/New_York:20211130T120000
DTSTAMP:20260406T185035
CREATED:20211124T222730Z
LAST-MODIFIED:20211124T222730Z
UID:10006979-1638270000-1638273600@seasevents.nmsdev7.com
SUMMARY:ESE Fall Colloquium Seminar -  "Bits and Brains: Ultra-low Power\, Neuro-inspired Edge-AI for Autonomous Systems"
DESCRIPTION:As we march towards the age of “ubiquitous intelligence”\, we note that AI and Machine learning are progressively moving from the Cloud to the Edge devices. The success of Edge-AI is pivoted on innovative circuits and hardware that can enable inference and limited learning\, in hardware-constrained ultra-low-power (uW to mW) systems – an area of active research. In this talk\, I will discuss the promises and outlook of Edge-AI and their applications in Autonomous Systems; and elaborate on some of our recent work on enabling such systems in sensor nodes and robotics. While some of these systems extend our understanding of statistical machine learning\, a large class of circuits and systems are inspired by the information representation in the brain. I will talk about the design of such circuits and systems with an emphasis on the impact of mixed-signal circuits\, near-memory and in-memory compute architectures\, non-CMOS (RRAM-based) compute macros\, as well as algorithm-hardware co-design to realize the most energy-efficient Edge-AI ASICs for the next generation of smart and autonomous systems.
URL:https://seasevents.nmsdev7.com/event/ese-fall-colloquium-seminar-bits-and-brains-ultra-low-power-neuro-inspired-edge-ai-for-autonomous-systems/
LOCATION:Zoom – Meeting ID 912 5944 4192
CATEGORIES:Seminar,Colloquium
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211130T153000
DTEND;TZID=America/New_York:20211130T163000
DTSTAMP:20260406T185035
CREATED:20211116T184503Z
LAST-MODIFIED:20211116T184503Z
UID:10006972-1638286200-1638289800@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Tackling climate change with machine learning"
DESCRIPTION:Machine learning can be a powerful tool in helping society reduce greenhouse gas emissions and adapt to a changing climate. In this talk\, we will explore opportunities and challenges in AI-for-climate\, from optimizing electrical grids to monitoring crop yield\, and how these impactful problems can also drive methodological innovations in machine learning.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-tackling-climate-change-with-machine-learning/
LOCATION:Zoom – Email CIS for link\, cherylh@cis.upenn.edu
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211201T150000
DTEND;TZID=America/New_York:20211201T160000
DTSTAMP:20260406T185035
CREATED:20211129T201637Z
LAST-MODIFIED:20211129T201637Z
UID:10006982-1638370800-1638374400@seasevents.nmsdev7.com
SUMMARY:Fall 2021 GRASP SFI: Lucas Manuelli\, NVIDIA\, “Robot Manipulation with Learned Representations”
DESCRIPTION:We would like to have robots which can perform useful manipulation tasks in real-world environments. This requires robots that can perceive the world with both precision and semantic understanding\, methods for communicating desired tasks to these systems\, and closed loop visual feedback controllers for robustly executing manipulation tasks. This is hard to achieve with previous methods: prior work hasn’t enabled robots to densely understand the visual world with sufficient precision to perform robotic manipulation or endowed them with the semantic understanding needed to perform tasks with novel objects. This limitation arises partly from the object representations that have been used\, the challenge in extracting these representations from the available sensor data in real-world settings\, and the manner in which tasks have been specified. The talk will have two sections. In the first section I will focus on object-centric representations and will present a family of approaches that leverage self-supervision\, both in the visual domain and for learning physical dynamics\, to enable robots to perform manipulation tasks. Specifically we (i) demonstrate the novel application of dense visual object descriptors to robotic manipulation and provide a fully self-supervised robot system to acquire them (ii) introduce the concept of category-level manipulation tasks and develop a novel object representation based on semantic 3D keypoints along with a task specification that uses these keypoints to define the task for all objects of a category\, including novel instances\, (iii) utilize our dense visual object descriptors to quickly learn new manipulation skills through imitation and (iv) use our visual object representations to learn data-driven models that can be used to perform closed loop feedback control in manipulation tasks. The second part of the talk will discuss an alternative action-centric approach that enables the incorporation of language-instructions in our manipulation pipelines.
URL:https://seasevents.nmsdev7.com/event/fall-2021-grasp-sfi-lucas-manuelli-nvidia-robot-manipulation-with-learned-representations/
LOCATION:Levine 307\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="General Robotics%2C Automation%2C Sensing and Perception (GRASP) Lab":MAILTO:grasplab@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211201T153000
DTEND;TZID=America/New_York:20211201T163000
DTSTAMP:20260406T185035
CREATED:20210831T004042Z
LAST-MODIFIED:20210831T004042Z
UID:10006871-1638372600-1638376200@seasevents.nmsdev7.com
SUMMARY:CBE Seminar: "From Molecular Simplicity to Supramolecular Complexity: Low Symmetry Packings of Ionic Spherical Micelles"
DESCRIPTION:Abstract \nA delicate balance of noncovalent interactions drives hydrated molecular amphiphiles to self-assemble into lyotropic liquid crystals (LLCs) of varied topologies\, the exquisite nanodomain structures of which suggest applications as separations membranes\, mesoporous materials synthesis templates\, and therapeutic delivery vehicles. Based on hard sphere colloidal crystals\, spherical micelles are intuitively expected to form high symmetry face-centered cubic (FCC) and hexagonally close-packed (HCP) LLCs. However\, we recently discovered that ionic surfactant micelles also form a zoo of low symmetry\, tetrahedrally close-packed Frank-Kasper (FK) phases that mimic the structures of elemental metals and their alloys. The emergence of complex FK s\, A15\, C14\, and C15 LLCs arises from a frustrated non-covalent force balance that minimizes local variations in amphiphile solvation\, while maximizing electrostatic cohesion in the ionic micelle ensemble. We describe how chemical features of the amphiphiles and the path-dependent processing of their aqueous dispersions drive LLC sphere packing symmetry selection\, culminating in our discovery of the ability of oil-swollen ionic micelles to aperiodically order into lyotropic dodecagonal quasicrystals (DDQCs). Thus\, engineering molecular frustration into simple amphiphiles begets high fidelity\, (a)periodic pattern formation at length scales far exceeding those of their constituent molecular and supramolecular building blocks.
URL:https://seasevents.nmsdev7.com/event/cbe-seminar-from-molecular-simplicity-to-supramolecular-complexity-low-symmetry-packings-of-ionic-spherical-micelles/
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:20211202T123000
DTEND;TZID=America/New_York:20211202T133000
DTSTAMP:20260406T185035
CREATED:20211118T211608Z
LAST-MODIFIED:20211118T211608Z
UID:10006974-1638448200-1638451800@seasevents.nmsdev7.com
SUMMARY:MSE Seminar: "Data-driven materials design in the quantum regime: motif-centric learning framework and local-symmetry-guided material discovery"
DESCRIPTION:Materials design in the quantum regime call for the integration of multi-tier materials information that go beyond atomic structures. Especially\, many quantum behaviors are greatly controlled by local symmetries and local bonding environments. In this talk\, motivated by Pauling’s rules\, Dr. Yan will show that local bonding environments (motifs) can be incorporated in a graph-based machine learning architecture to make reliable property predictions for solid-state quantum materials including complex metal oxides. The proposed atom-motif dual network model demonstrates the feasibility to incorporate beyond-atom materials information in a graph network framework and achieves the state-of-the-art performance in predicting the electronic structure properties of complex metal oxides. As an example of quantum material design by local bonding symmetry\, he will discuss how data-driven material science can be combined with symmetry-based physical principles to guide the search for quantum defects in two-dimensional (2D) materials for quantum information processing and quantum computing. The use of local bonding symmetry (irreducible representations) as a material design hypothesis enables the identification of anion antisite defects as promising spin qubits and quantum emitters in six monolayer transition metal dichalcogenides. The work creates a technically accessible 2D platform for the fabrication of defect-based multi-qubit systems for quantum computing. At the end of the talk\, he will discuss the continued development of machine learning models that embrace symmetries and symmetry-based interactions and the discovery of quantum defects in a vast space of 2D material systems.
URL:https://seasevents.nmsdev7.com/event/mse-seminar-data-driven-materials-design-in-the-quantum-regime-motif-centric-learning-framework-and-local-symmetry-guided-material-discovery/
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:20211202T140000
DTEND;TZID=America/New_York:20211202T150000
DTSTAMP:20260406T185035
CREATED:20211124T170430Z
LAST-MODIFIED:20211124T170430Z
UID:10006978-1638453600-1638457200@seasevents.nmsdev7.com
SUMMARY:Fall 2021 GRASP Seminar: Gregory S. Chirikjian\, "Robot Imagination: Affordance-Based Reasoning about Unknown Objects"
DESCRIPTION:Today’s robots are very brittle in their intelligence. This follows from a legacy of industrial robotics where robots pick and place known parts repetitively. For humanoid robots to function as servants in the home and in hospitals they will need to demonstrate higher intelligence\, and must be able to function in ways that go beyond the stiff prescribed programming of their industrial counterparts. A new approach to service robotics is discussed here. The affordances of common objects such as chairs\, cups\, etc.\, are defined in advance. When a new object is encountered\, it is scanned and a virtual version is put into a simulation wherein the robot “imagines’’ how the object can be used. In this way\, robots can reason about objects that they have not encountered before\, and for which they have no training using. Videos of physical demonstrations will illustrate this paradigm\, which the presenter has developed with his students Hongtao Wu\, Meng Xin\, Sipu Ruan\, and others.
URL:https://seasevents.nmsdev7.com/event/fall-2021-grasp-seminar-gregory-s-chirikjian-robot-imagination-affordance-based-reasoning-about-unknown-objects/
LOCATION:Levine 307\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="General Robotics%2C Automation%2C Sensing and Perception (GRASP) Lab":MAILTO:grasplab@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211202T153000
DTEND;TZID=America/New_York:20211202T163000
DTSTAMP:20260406T185035
CREATED:20211202T132732Z
LAST-MODIFIED:20211202T132732Z
UID:10006985-1638459000-1638462600@seasevents.nmsdev7.com
SUMMARY:CIs Seminar: "Modeling cancer progression with neural networks"
DESCRIPTION:The exponential growth of biological datasets in recent years has increased the dependency of cancer research on AI and computational analysis. Cancer evolves through the accumulation of genetic events over time\, which are represented through different types of data. Integration of machine learning methods with temporal modeling and genomic methods has the potential to improve our understanding and treatment of cancer. In this talk\, we will discuss emerging data science challenges for cancer research and opportunities to address these challenges using integrated AI frameworks.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-modeling-cancer-progression-with-neural-networks/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211203T103000
DTEND;TZID=America/New_York:20211203T114500
DTSTAMP:20260406T185035
CREATED:20211110T144715Z
LAST-MODIFIED:20211110T144715Z
UID:10006964-1638527400-1638531900@seasevents.nmsdev7.com
SUMMARY:GRASP on Robotics: "Toward Object Manipulation Without Explicit Models"
DESCRIPTION:*This will be a HYBRID Event with in-person attendance in Wu & Chen Auditorium and Virtual attendance via Zoom Webinar here.  \nThe prevalent approach to object manipulation is based on the availability of explicit 3D object models. By estimating the pose of such object models in a scene\, a robot can readily reason about how to pick up an object\, place it in a stable position\, or avoid collisions. Unfortunately\, assuming the availability of object models constrains the settings in which a robot can operate\, and noise in estimating a model’s pose can result in brittle manipulation performance. In this talk\, I will discuss our work on learning to manipulate unknown objects directly from visual (depth) data. Without any explicit 3D object models\, these approaches are able to segment unknown object instances\, pickup objects in cluttered scenes\, and re-arrange them into desired configurations. I will also present recent work on combining pre-trained language and vision models to efficiently teach a robot to perform a variety of manipulation tasks. I’ll conclude with our initial work toward learning implicit representations for objects.
URL:https://seasevents.nmsdev7.com/event/grasp-on-robotics-toward-object-manipulation-without-explicit-models/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="General Robotics%2C Automation%2C Sensing and Perception (GRASP) Lab":MAILTO:grasplab@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211203T140000
DTEND;TZID=America/New_York:20211203T150000
DTSTAMP:20260406T185035
CREATED:20210920T160029Z
LAST-MODIFIED:20210920T160029Z
UID:10006912-1638540000-1638543600@seasevents.nmsdev7.com
SUMMARY:PICS Colloquium: "Computational and Experimental Modeling of Membrane Distillation"
DESCRIPTION:Abstract: \nComputational fluid dynamics simulations and experiments were conducted to study the performance of distillation membrane process for water treatment and desalination applications. Polarizations and fouling/scaling in a direct contact membrane distillation module were examined. Laminar and turbulent flow regimes in the feed and permeate channels were considered. The hydrophobic membrane separates feed and permeate channels. The membrane is treated as a functional surface where the permeate flux is modeled as a function of local temperature\, concentration using the Dusty-Gas diffusion model. The combination of Knudsen and viscous diffusion governs the vapor transport through the membrane. Vaporization occurs in the feed channel at the entrance of pores of the membrane due to the well-known confinement (surface tension) effect. Vapor is pushed through the membrane by the partial pressure difference created by the temperature concentration difference across the membrane. The permeability (resistance) of the membrane depends strongly on the membrane thickness\, porosity\, pore size\, and tortuosity. Mitigation of polarizations and fouling/scaling and the optimization of module design will be presented and discussed.
URL:https://seasevents.nmsdev7.com/event/pics-colloquium-computational-and-experimental-modeling-of-membrane-distillation/
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
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211203T150000
DTEND;TZID=America/New_York:20211203T170000
DTSTAMP:20260406T185035
CREATED:20211115T161436Z
LAST-MODIFIED:20211115T161436Z
UID:10006970-1638543600-1638550800@seasevents.nmsdev7.com
SUMMARY:Keeping Up the Good Work: Honoring 40 Years of Excellence in Diversity
DESCRIPTION:This year marks the 40th anniversary of Penn Engineering’s diversity efforts and we invite you to join us on Friday\, December 3\, at 3:00 p.m. EST to celebrate Penn Engineering’s new Office of Diversity\, Equity\, and Inclusion (ODEI)\, formerly known as the Office of Minority Programs.\n\nWe plan to meet in Heilmeier Hall (Towne 100) from 3:00-3:30 p.m. for remarks and we will then move upstairs to 211 Towne to officially unveil and tour the brand new ODEI Suite.\n\nThe new suite that will be unveiled honors and builds upon the remarkable work of Ms. Cora Ingrum\, ODEI’s former Director and her Administrative Assistant\, Ms. Donna Hampton. Over the years\, the office has been instrumental in identifying and retaining diverse engineering talent and helping students successfully transition into graduate and professional programs as well as productive professional careers. ODEI has a legacy of rich programs and partnerships with academia and industry that has continued to be strengthened under the leadership of Dr. Laura Stubbs\, the current Director of ODEI.\n\n\nThe recording of this event is posted here for your viewing.\nhttps://youtu.be/y7-cTd03e3Y\n\n\n  \n\n\n 
URL:https://seasevents.nmsdev7.com/event/keeping-up-the-good-work-honoring-40-years-of-excellence-in-diversity/
LOCATION:Heilmeier Hall (Room 100)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Faculty,Graduate,Student,Master's,Postdoctoral,Alumni,Undergraduate,Diversity, Equity and Inclusion,Staff
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211207T100000
DTEND;TZID=America/New_York:20211207T113000
DTSTAMP:20260406T185035
CREATED:20211129T142523Z
LAST-MODIFIED:20211129T142523Z
UID:10006981-1638871200-1638876600@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Continuum Mechanics of Non-equilibrium Phenomena: A Journey Through Space and Time Scales"
DESCRIPTION:The fascinating diversity of material behavior at the macroscopic scale\, including plasticity\, phase transformations\, viscoelasticity or diffusion\, can only emerge from the underlying atomistic or particle behavior. Yet\, the direct connection between these two scales for non-equilibrium phenomena remains an extremely challenging quest from both a theoretical and computational perspective. This knowledge gap currently hinders predictive simulations and material discovery\, and leads to large economic losses and barriers to innovation in many industrial sectors. In this talk\, we will discuss several advances in the predictive modeling of non-equilibrium mechanics\, by combining tools from continuum mechanics\, statistical physics\, applied mathematics\, as well as machine learning and data-driven strategies.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-continuum-mechanics-of-non-equilibrium-phenomena-a-journey-through-space-and-time-scales/
LOCATION:Zoom – Email MEAM for Link\, peterlit@seas.upenn.edu
CATEGORIES:Seminar
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211207T110000
DTEND;TZID=America/New_York:20211207T120000
DTSTAMP:20260406T185035
CREATED:20211202T193540Z
LAST-MODIFIED:20211202T193540Z
UID:10006986-1638874800-1638878400@seasevents.nmsdev7.com
SUMMARY:ESE Fall Colloquium Seminar - "Alpha-loss: A Tunable Class of Loss Functions for Robust Learning"
DESCRIPTION:Machine learning has dramatically enhanced the role of automated decision making across a variety of domains. There are three ingredients that are at the heart of designing of sound ML algorithms: data\, learning architectures\, and loss functions. In this talk\, we focus on loss functions and the role of information theory in understanding the choice of loss functions in learning. We introduce alpha-loss as a parameterized class of loss functions that resulted from operationally motivating information-theoretic measures. Tuning the parameter alpha from 0 to infinity allows continuous interpolation between known and oft-used losses: log-loss (alpha=1)\, exponential loss (alpha=1/2)\, and 0-1 loss (alpha=infinity). \nBeginning with the classification properties of alpha-loss and its information-theoretic interpretations\, we will focus on a specific model\, namely the logistic model\, and quantify the optimization landscape of the average loss as viewed through the lens of Strict-Local-Quasi-Convexity. We discuss how different regimes of the parameter alpha enables the practitioner to tune the sensitivity of their algorithm towards two emerging challenges in learning: robustness and fairness. Finally\, we comment on ongoing and future work on different applications of alpha-loss including GANs and boosting
URL:https://seasevents.nmsdev7.com/event/ese-fall-colloquium-seminar-alpha-loss-a-tunable-class-of-loss-functions-for-robust-learning/
LOCATION:Zoom – Meeting ID 916 0331 6605
CATEGORIES:Seminar,Colloquium
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211207T120000
DTEND;TZID=America/New_York:20211207T130000
DTSTAMP:20260406T185035
CREATED:20211202T131922Z
LAST-MODIFIED:20211202T131922Z
UID:10006984-1638878400-1638882000@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: “Synthetic Data: Anonymisation Groundhog Day”
DESCRIPTION:Synthetic data has been advertised as a silver-bullet solution to privacy-preserving data publishing that addresses the shortcomings of traditional anonymisation techniques. The promise is that synthetic data drawn from generative models preserves the statistical properties of the original dataset but\, at the same time\, provides perfect protection against privacy attacks. In this work\, we present the first quantitative evaluation of the privacy gain of synthetic data publishing and compare it to that of previous anonymisation techniques. \nOur evaluation of a wide range of state-of-the-art generative models demonstrates that synthetic data either does not prevent inference attacks or does not retain data utility. In other words\, we empirically show that synthetic data does not provide a better tradeoff between privacy and utility than traditional anonymisation techniques. \nFurthermore\, in contrast to traditional anonymisation\, the privacy-utility tradeoff of synthetic data publishing is hard to predict. Because it is impossible to predict what signals a synthetic dataset will preserve and what information will be lost\, synthetic data leads to a highly variable privacy gain and unpredictable utility loss. In summary\, we find that synthetic data is far from the holy grail of privacy-preserving data publishing.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-synthetic-data-anonymisation-groundhog-day/
LOCATION:Zoom – Email CIS for link\, cherylh@cis.upenn.edu
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211209T110000
DTEND;TZID=America/New_York:20211209T120000
DTSTAMP:20260406T185035
CREATED:20211201T213025Z
LAST-MODIFIED:20211201T213025Z
UID:10006983-1639047600-1639051200@seasevents.nmsdev7.com
SUMMARY:ESE Fall Colloquium Seminar - "Data Compression: From Classical to Modern"
DESCRIPTION:Lossy data compression is a vital\, if hidden\, enabling technology. This virtual seminar would be impossible without data compression!  Existing compression standards for images and audio rely on a “classical” theory of compression that models sources as stationary Gaussian processes. This theory is quite mature\, and it provides remarkable insights into how to compress Gaussian sources in a variety of settings\, including those in which the data to be compressed is distributed among multiple users\, as occurs in federated learning. At the same time\, compressors based on artificial neural networks (ANNs) have recently begun to outperform those based on the classical theory for images and other practical sources. Given that the classical methods are provably near-optimal for Gaussian sources\, it is evident that ANNs are able to exploit non-Gaussianity in the data and that a new theory of data compression is required to explain their performance. I will present recent results on both fronts\, specifically the latest advances on distribution compression of Gaussian sources and some first steps toward the development of a “modern” theory. No background in data compression or information theory will be assumed. \nThe talk contains results obtained in collaboration with Omer Bilgen and Johannes Ballé.
URL:https://seasevents.nmsdev7.com/event/ese-fall-colloquium-seminar-data-compression-from-classical-to-modern/
LOCATION:Zoom – Meeting ID 968 2448 5695
CATEGORIES:Seminar,Colloquium
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211209T123000
DTEND;TZID=America/New_York:20211209T133000
DTSTAMP:20260406T185035
CREATED:20211118T210521Z
LAST-MODIFIED:20211118T210521Z
UID:10006973-1639053000-1639056600@seasevents.nmsdev7.com
SUMMARY:MSE Seminar: "Topological Quantum Phases\, Novel Superconductors\, and Ultra-Thin Films Beyond Graphene"
DESCRIPTION:Dr. Bansil will discuss some of his recent work aimed at understanding the electronic structure and spectroscopy of novel superconductors\, topological materials\, and atomically thin 2D films and battery materials. [1-5] Illustrative examples will include: (i) How by exploiting electronic structure techniques we have been able to successfully predict and understand the characteristics of many new classes of topologically interesting materials\, including magnetic topological materials; (ii) How atomically thin beyond graphene 2D and layered materials offer exciting new possibilities for manipulating electronic structures and provide novel platforms for fundamental science studies and applications; And\, (iii) with regard to the high-Tc’s\, he will discuss recent breakthroughs in modeling the insulating pristine compounds and their transition from the insulating to the metallic state with doping without invoking free parameters such as the Hubbard U parameter. A first-principles description of the competing stripe and magnetic phases in the cuprates also then becomes possible\, providing a new pathway for modeling correlated materials more generally. \n[1] A. Gao\, et al.\, Nature 595\, 521 (2021).\n[2] H. Hafiz\, et al.\, Nature 594\, 213 (2021).\n[3] Y. Zhang et al.\, Proceedings of the National Academy of Sciences 117\, 68 (2020).\n[4] D. J. Trainer et al.\, ACS Nano 14\, 2718 (2020).\n[5] A. Bansil\, H. Lin and T. Das\, Reviews of Modern Physics 88\, 021004 (2016).
URL:https://seasevents.nmsdev7.com/event/mse-seminar-topological-quantum-phases-novel-superconductors-and-ultra-thin-films-beyond-graphene/
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:20211209T133000
DTEND;TZID=America/New_York:20211209T163000
DTSTAMP:20260406T185035
CREATED:20210707T142831Z
LAST-MODIFIED:20210707T142831Z
UID:10006822-1639056600-1639067400@seasevents.nmsdev7.com
SUMMARY:BE Seminar: "Tissue-Inspired Synthetic Biomaterials" (Shelly Peyton)
DESCRIPTION:This seminar will be held live and broadcast on zoom – check your email for the zoom link or contact ksas@seas.upenn.edu. \nImproved experimental model systems are critically needed to better understand cancer progression and bridge the gap between lab bench proof-of-concept studies\, validation in animal models\, and eventual clinical application. Many methods exist to create biomaterials\, including hydrogels\, which we use to study cells in contexts more akin to what they experience in the human body. Our lab has multiple approaches to create such biomaterials\, based on combinations of poly(ethylene glycol) (PEG) with peptides and zwitterions. In this presentation\, I will discuss our synthetic approaches to building life-like materials\, how we use these systems to grow cells and understand how a cell’s environment\, particularly the extracellular matrix regulates cancer cell growth\, dormancy\, and drug sensitivity.
URL:https://seasevents.nmsdev7.com/event/be-seminar-shelly-peyton/
LOCATION:Moore 216\, 200 S. 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211210T100000
DTEND;TZID=America/New_York:20211210T120000
DTSTAMP:20260406T185035
CREATED:20211129T135232Z
LAST-MODIFIED:20211129T135232Z
UID:10006980-1639130400-1639137600@seasevents.nmsdev7.com
SUMMARY:BE Doctoral Dissertation Defense: "Single-component optogenetic tools for cytoskeletal rearrangements" (Erin Berlew)
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Dr. Brian Chow are pleased to announce the Doctoral Dissertation Defense of Erin Berlew.\n\nTitle: “Single-component optogenetic tools for cytoskeletal rearrangements”\nDate: Friday\, December 10\, 2021\nTime: 10:00 AM\nLocation: Towne 337 and Zoom\n\n\nZoom information:\nERIN BERLEW is inviting you to a scheduled Zoom meeting. \nTopic: Erin Berlew’s Dissertation Defense\nTime: Dec 10\, 2021 10:00 AM Eastern Time (US and Canada) \nJoin Zoom Meeting\nhttps://upenn.zoom.us/j/91533277922 \nMeeting ID: 915 3327 7922\nOne tap mobile\n+13126266799\,\,91533277922# US (Chicago)\n+16465588656\,\,91533277922# US (New York) \nDial by your location\n+1 312 626 6799 US (Chicago)\n+1 646 558 8656 US (New York)\n+1 301 715 8592 US (Washington DC)\n+1 346 248 7799 US (Houston)\n+1 669 900 9128 US (San Jose)\n+1 253 215 8782 US (Tacoma)\nMeeting ID: 915 3327 7922\nFind your local number: https://upenn.zoom.us/u/acKm9XEi2V
URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-defense-single-component-optogenetic-tools-for-cytoskeletal-rearrangements-erin-berlew/
LOCATION:Room 337\, 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:20211214T100000
DTEND;TZID=America/New_York:20211214T113000
DTSTAMP:20260406T185035
CREATED:20211124T141816Z
LAST-MODIFIED:20211124T141816Z
UID:10006977-1639476000-1639481400@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Architected Nanoscale Plates for Thermionic Energy Conversion and Relativistic Interstellar Travel"
DESCRIPTION:Architected plates feature geometrical patterns that provide advantageous mechanical properties\, such as an enhanced bending stiffness or a reduced tendency to tear. In this talk I will introduce our research group’s multiscale hexagonally patterned corrugated plates\, which have nano-scale film thicknesses\, micron-scale total heights\, and square-centimeter-scale lateral area dimensions. I will first explain how we use these plates in direct thermionic heat-to-electricity generators and show that new corrugation modalities provide several-fold reductions in the plates’ thermal conductivity\, leading to greater device efficiency. I will then show that our plates can be tailored to become ultra-reflective membranes for photon-propelled space travel near the speed of light\, and explain mechanical guidelines for the design of relativistic light sails.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-architected-nanoscale-plates-for-thermionic-energy-conversion-and-relativistic-interstellar-travel/
LOCATION:Zoom – Email MEAM for Link\, peterlit@seas.upenn.edu
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211214T110000
DTEND;TZID=America/New_York:20211214T120000
DTSTAMP:20260406T185035
CREATED:20211208T201000Z
LAST-MODIFIED:20211208T201000Z
UID:10006991-1639479600-1639483200@seasevents.nmsdev7.com
SUMMARY:ESE Fall Colloquium - "Processing in Memory: Past\, Present\, and Future"
DESCRIPTION:Applications are increasingly data-intensive and bound by the performance of the memory and/or storage system. This “memory wall” arises from several factors: the volume of data is increasing exponentially\, outstripping cache capacities; many applications extensively use streaming data with little or no temporal reuse; as algorithms become more sophisticated\, access patterns are often unfriendly to effective caching; and the computation intensity of many of these algorithms is low–we often spend more time and energy moving data to the processor than we spend computing on the data.  All these factors motivate breaking down the classic von Neumann architecture that separates processing and memory\, and computing as close to the data as possible\, with processing elements either tightly coupled with memory or storage\, or possibly even embedded directly in the memory chips.  \n The memory wall has been a concern for decades\, with numerous proposals over the years for processing-in-memory and near-data architectures.  This talk will review the motivation for processing in memory and some prior proposals\, then provide an overview of the current landscape\, take a deep dive into the Fulcrum processing-in-memory architecture developed by my research group\, and then conclude with some suggestions for promising applications and directions for in-memory/near-data design\, together with some necessary operating-system and middleware capabilities.
URL:https://seasevents.nmsdev7.com/event/processing-in-memory-past-present-and-future/
LOCATION:Zoom – Meeting ID 996 4057 1041
CATEGORIES:Seminar,Colloquium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211215T090000
DTEND;TZID=America/New_York:20211215T103000
DTSTAMP:20260406T185035
CREATED:20211211T215943Z
LAST-MODIFIED:20211211T215943Z
UID:10006996-1639558800-1639564200@seasevents.nmsdev7.com
SUMMARY:CBE PhD Dissertation Defense | "Selective Catalytic Reactions for Taking Furan-Based Compounds to Useful Chemicals"
DESCRIPTION:Abstract: \n“Efforts have been devoted to understanding the upgrading of plant-based biomass waste into useful chemicals to replace the current petrochemical production. An extensive amount of work has been accomplished in the past few decades but there are still many uncertainties. The transformation of furanic compounds\, which present a major fraction in lignocellulosic biomass\, is one of them. Furans are important solvent molecules in industry\, and they are also critical feedstock to produce other valuable chemicals. The work in this presentation mainly focused on bridging the gap between different chemistry for a complete industrial production process. Two reactions that I have extensively studied were the acylation of furans and the dehydra-decyclization of cyclic ethers to corresponding conjugated dienes.\nSelective Friedel-Crafts acylation of furans to a type of alkyl furan ketone molecules is very useful for increasing the molecular weight of biomass in a controlled manner\, and product from this reaction can be applied in many fields. The acylation reaction was classically performed with acid anhydride or chloride\, using strong Lewis acids as catalysts (such as AlCl3) through homogeneous reactions. To enhance the reaction efficiency and reduce separation cost\, I used non-branched long-chain carboxylic acids as acylation agent and Brønsted acidic zeolites as catalyst. With proper reaction conditions demonstrated for the direct acylation reaction\, solvent was found to play an important role during reaction\, which can be utilized for further reaction performance improvement. \nThe second reaction is to produce conjugated dienes from cyclic ethers\, which has been studied over various Brønsted zeolitic materials. Conjugated dienes are the backbone monomers in synthetic rubber production. Previous works on zeolites have either low selectivity to the desired conjugated diene products or low reaction rates\, and having protons as active sites\, oligomerization of unsaturated hydrocarbons on the Brønsted catalysts was another big issue. In my work\, ZrO2 was identified to be a promising catalyst to produce C4~C5 conjugated dienes from corresponding cyclic ethers at quantitative conversion. ZrO2 has shown a significant performance compared to other common-seen Lewis acids\, and a possible reaction mechanism on ZrO2 was tabulated for further catalyst design.” 
URL:https://seasevents.nmsdev7.com/event/cbe-phd-dissertation-defense-selective-catalytic-reactions-for-taking-furan-based-compounds-to-useful-chemicals/
LOCATION:Zoom – Email CBE for link
CATEGORIES:Doctoral,Graduate,Student,Dissertation or Thesis Defense
ORGANIZER;CN="Chemical and Biomolecular Engineering":MAILTO:cbemail@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211215T110000
DTEND;TZID=America/New_York:20211215T120000
DTSTAMP:20260406T185035
CREATED:20210903T163502Z
LAST-MODIFIED:20210903T163502Z
UID:10006879-1639566000-1639569600@seasevents.nmsdev7.com
SUMMARY:CEMB Future Leaders: "Immuno-stromal axes in pulmonary and biomaterial-mediate fibrosis"
DESCRIPTION:Launched in May 2021\, the Future Leaders in Mechanobiology is a monthly seminar series featuring up-and-coming leaders in mechanobiology–PhD students and postdocs from a wide range of fields\, backgrounds\, and institutions. By providing an international stage to share one’s work and opportunities to interact with researchers at all career stages\, we aim to create an inclusive and valuable series for early-stage researchers and the mechanobiology community as a whole. \nRegister HERE for access to the Zoom link and visit the CEMB website for more information.
URL:https://seasevents.nmsdev7.com/event/cemb-future-leaders-immuno-stromal-axes-in-pulmonary-and-biomaterial-mediate-fibrosis/
LOCATION:https://upenn.zoom.us/j/96715197752
ORGANIZER;CN="Center for Engineering MechanoBiology (CEMB)":MAILTO:annjeong@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211215T120000
DTEND;TZID=America/New_York:20211215T140000
DTSTAMP:20260406T185035
CREATED:20211203T132246Z
LAST-MODIFIED:20211203T132246Z
UID:10006987-1639569600-1639576800@seasevents.nmsdev7.com
SUMMARY:BE Doctoral Dissertation Defense: "Biofabrication approaches with hyaluronic acid hydrogels for cartilage repair" (Jonathan Galarraga)
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Dr. Jason Burdick are pleased to announce the Doctoral Dissertation Defense of Jonathan Galarraga.\n\nTitle: “Biofabrication approaches with hyaluronic acid hydrogels for cartilage repair”\nDate: Wednesday\, December 15\, 2021\nTime: 12:00 PM\nLocation: Glandt Forum\, Singh Center for Nanotechnology and Zoom\n\n\nZoom Information:\nJONATHAN GALARRAGA is inviting you to a scheduled Zoom meeting. \nTopic: Doctoral Dissertation Defense of Jonathan Galarraga\nTime: Dec 15\, 2021 12:00 PM Eastern Time (US and Canada) \nJoin Zoom Meeting\nhttps://upenn.zoom.us/j/5947384835 \nMeeting ID: 594 738 4835\nOne tap mobile\n+13126266799\,\,5947384835# US (Chicago)\n+16465588656\,\,5947384835# US (New York) \nDial by your location\n+1 312 626 6799 US (Chicago)\n+1 646 558 8656 US (New York)\n+1 301 715 8592 US (Washington DC)\n+1 346 248 7799 US (Houston)\n+1 669 900 9128 US (San Jose)\n+1 253 215 8782 US (Tacoma)\nMeeting ID: 594 738 4835\nFind your local number: https://upenn.zoom.us/u/adTl7KPuUe
URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-defense-biofabrication-approaches-with-hyaluronic-acid-hydrogels-for-cartilage-repair-jonathan-galarraga/
LOCATION:Glandt Forum\, Singh Center for Nanotechnology\, 3205 Walnut 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:20211215T140000
DTEND;TZID=America/New_York:20211215T150000
DTSTAMP:20260406T185035
CREATED:20211206T160929Z
LAST-MODIFIED:20211206T160929Z
UID:10006989-1639576800-1639580400@seasevents.nmsdev7.com
SUMMARY:Fall 2021 GRASP Seminar: Heng Yang\, "Certifiable Outlier-Robust Geometric Perception: Robots that See through the Clutter with Confidence"
DESCRIPTION:*This will be a HYBRID Event with in-person attendance for Dr. Malikopoulos’ in-person talk in Wu & Chen Auditorium and Virtual attendance via Zoom Webinar here.  \nGeometric perception is the task of estimating geometric models (e.g.\, object pose and 3D structure) from sensor measurements and priors (e.g.\, point clouds and neural network detections). Geometric perception is a fundamental building block for robotics applications ranging from intelligent transportation to space autonomy. The ubiquitous existence of outliers —measurements that tell no or little information about the models to be estimated— makes it theoretically intractable to perform estimation with guaranteed optimality. Despite this theoretical intractability\, safety-critical robotics applications still demand trustworthiness and performance guarantees on perception algorithms. In this talk\, I present certifiable outlier-robust geometric perception\, a new paradigm to design tractable algorithms that enjoy rigorous performance guarantees\, i.e.\, they return an optimal estimate with a certificate of optimality for a majority of problem instances\, but declare failure and provide a measure of suboptimality for worst-case instances. Particularly\, I present two general-purpose algorithms in the certifiable perception toolbox: (i) an estimator that uses graph theory to prune gross outliers and leverages graduated non-convexity to compute the optimal model estimate with high probability of success\, and (ii) a certifier that employs sparse semidefinite programming (SDP) relaxation and a novel SDP solver to endow the estimator with an optimality certificate or escape local minima otherwise. The estimator is fast and robust against up to 99% random outliers in practical perception applications\, and the certifier can compute high-accuracy optimality certificates for large-scale problems beyond the reach of existing SDP solvers. I showcase certifiable outlier-robust perception on robotics applications such as scan matching\, satellite pose estimation\, and vehicle pose and shape estimation. I conclude by remarking opportunities for integrating certifiable perception with big data\, machine learning\, and safe control towards trustworthy autonomy.
URL:https://seasevents.nmsdev7.com/event/fall-2021-grasp-seminar-heng-yang-certifiable-outlier-robust-geometric-perception-robots-that-see-through-the-clutter-with-confidence/
LOCATION:Levine 307\, 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
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211216T110000
DTEND;TZID=America/New_York:20211216T120000
DTSTAMP:20260406T185035
CREATED:20211209T190035Z
LAST-MODIFIED:20211209T190035Z
UID:10006992-1639652400-1639656000@seasevents.nmsdev7.com
SUMMARY:ESE Fall Colloquium - "Harnessing Piezoelectricity in Novel Microsystems for Classical and Quantum Information Processing"
DESCRIPTION:Piezoelectricity is the intrinsic coupling between electric fields and strains in materials. While piezoelectric sensors\, actuators\, and RF filters are ubiquitous and important components of existing microsystems\, their potential is still largely underutilized in many application spaces. In this talk\, I will discuss the physics\, engineering\, and applications of two novel classes of piezoelectrically enabled microsystems developed by the MEMS-Enabled Quantum Photonics group at Sandia National Labs: (1) piezoelectrically modulated photonic\, phononic\, and optomechanical integrated circuits and 2) piezoelectric-semiconductor hybrids for all-acoustic radio frequency signal processing and acoustoelectrically enhanced optomechanics. I will discuss these systems in detail and show how they are being used to make significant advances in both classical and quantum information processing applications.
URL:https://seasevents.nmsdev7.com/event/ese-fall-colloquium-seminar-harnessing-piezoelectricity-in-novel-microsystems-for-classical-and-quantum-information-processing/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar,Colloquium
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
END:VCALENDAR