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DTSTART;TZID=America/New_York:20211122T120000
DTEND;TZID=America/New_York:20211122T130000
DTSTAMP:20260406T105721
CREATED:20211025T142239Z
LAST-MODIFIED:20211025T142239Z
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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
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211122T153000
DTEND;TZID=America/New_York:20211122T170000
DTSTAMP:20260406T105721
CREATED:20211122T153336Z
LAST-MODIFIED:20211122T153336Z
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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:20260406T105721
CREATED:20211115T141126Z
LAST-MODIFIED:20211115T141126Z
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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:20260406T105721
CREATED:20211102T174315Z
LAST-MODIFIED:20211102T174315Z
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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/
LOCATION:PA
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
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