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X-WR-CALDESC:Events for Penn Engineering Events
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DTSTART;TZID=America/New_York:20240513T150000
DTEND;TZID=America/New_York:20240513T170000
DTSTAMP:20260403T153936
CREATED:20240510T130519Z
LAST-MODIFIED:20240510T130519Z
UID:10007968-1715612400-1715619600@seasevents.nmsdev7.com
SUMMARY:ESE PhD Thesis Defense: "Low Noise and Low Power Front-end Circuit Design for Bio-Signal Recordings"
DESCRIPTION:Bio-signals in living objects are the signals thatcarry physiological information from one part of the body to another. Studying bio-signals can extract data that maps health status or body activities for medical purposes. Implantable and wearable devices of small volume for measuring different bio-signals are desired for medical applications where the devices measure the signals with further processing to provide feedback for diagnosis and treatment. Bio-signals produced by the body usually have a small amplitude requiring low noise and low power analog front-end amplifiers and signal processing circuitry. \nThis talk will focus on low noise and low power readout circuits for magnetic sensing systems to acquire bio-magnetic fields. Compared to bio-electrical recordings\, bio-magnetic sensing is non-invasive and non-contact. PCB-based readout electronics for strain modulated multiferroic sensors with a bandwidth of 3.4 kHz and a magnetic noise floor at 1 kHz of 98.5 pT/√Hz is implemented for understanding the circuit and the sensor noise models for modulated multiferroic sensor-readout systems. To reduce the power consumption\, an ASIC readout circuit in 180 nm CMOS for the sensor is designed and implemented. By utilizing a demodulator first architecture\, measurements for the sensor-readout system demonstrate a 127 pT/√Hz magnetic noise floor at 1 kHz and a low power consumption of 5.9 mW. To further improve the noise performance at low frequencies\, readout circuit in BiCMOS and a differential structure are implemented to achieve a magnetic noise floor of 85 pT/√Hz at 1 kHz\, and 300 pT/√Hz at 10 Hz with a power consumption of 5.6 mW. In addition\, a low intermediate frequency (low-IF) demodulation readout circuit is implemented and measured to eliminate the 1/f flicker noise and realizes a noise floor of 722 pT√Hz at 1 Hz with the power consumption of 2.9 mW. The noise and power consumption that the magnetic sensing systems have achieved are significantly lower than alternative magnetic sensor systems of similar volume\, which outlines an excellent solution for low-power\, low-noise\, wearable\, on-body sensing in the future.
URL:https://seasevents.nmsdev7.com/event/ese-phd-thesis-defense-low-noise-and-low-power-front-end-circuit-design-for-bio-signal-recordings/
LOCATION:Room 221\, Singh Center for Nanotechnology\, 3205 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Dissertation or Thesis Defense
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240514T100000
DTEND;TZID=America/New_York:20240514T113000
DTSTAMP:20260403T153936
CREATED:20240429T154117Z
LAST-MODIFIED:20240429T154117Z
UID:10007957-1715680800-1715686200@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "The Mechanics of Animal Collective Behavior: From Insect Swarms to Fish Schools"
DESCRIPTION:An incredible diversity of organisms\, from bacteria and social insects to bird flocks and fish schools\, self-organize to achieve collective tasks. They have inspired the development of decentralized algorithms and robotic swarms. While numerous models have been proposed to understand the self-organization of animal groups\, the role of mechanics was rarely considered. In this talk\, I will demonstrate experiments and models of the collective behaviors of two insect species\, red imported fire ants (Solenopsis invicta) and black soldier fly larvae (Hermetia illucens)\, in both static and moving fluids. Particular attention will be paid to how their collective behaviors are affected by fluid forces. My results suggest a timescale associated with the limit of animal perception and locomotion. Collective phenomena shorter than such a timescale are driven by mechanical forces and random movements of the individuals. To conclude\, I will extend the framework to consider the hydrodynamics of fish schools and discuss how I use computer vision and biomimetic robots to seek insights into this complex system.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-the-mechanics-of-animal-collective-behavior-from-insect-swarms-to-fish-schools/
LOCATION:David Rittenhouse Laboratory Building\, Room A5\, 209 S. 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240515T140000
DTEND;TZID=America/New_York:20240515T150000
DTSTAMP:20260403T153936
CREATED:20240501T190218Z
LAST-MODIFIED:20240501T190218Z
UID:10007959-1715781600-1715785200@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Computational FSI Modeling of the Cardiovascular System"
DESCRIPTION:Computational modeling and simulation has become a routine part of cardiovascular clinical research. These techniques leverage medical imaging to construct patient-specific models that can be used to study disease processes\, design and evaluate medical devices\, perform predictive surgery\, and aid in clinical decision-making. Modern cardiovascular simulations often require millions of elements and tens of thousands of time steps. Thus\, there is a need for accurate\, robust\, and efficient computational techniques to simulate complex pulsatile hemodynamics potentially coupled with deformable vessel walls or heart valves. In this talk\, I will discuss computational methods for simulating blood flow and for modeling fluid-structure interaction problems in the cardiovascular system. I will present improvements to existing finite element solver technologies\, including development of a block preconditioning technique for fully implicit time integration schemes coupled to reduced dimension models of the cardiovascular system (e.g. Windkessel model). Mass conservation properties of various techniques will be investigated in a patient-specific aorta model. Next\, I will show how these improved techniques can be leveraged to simulate fluid-structure interaction problems using the arbitrary Lagrangian-Eulerian method combined with a quasi-Newton solution procedure. Lastly\, I will present an immersed approach to computational modeling of fluid-structure interaction problems and demonstrate the potential of the method to simulate heart valves dynamics over the cardiac cycle using an idealized problem.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-computational-fsi-modeling-of-the-cardiovascular-system/
LOCATION:Moore 212
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240516T160000
DTEND;TZID=America/New_York:20240516T171500
DTSTAMP:20260403T153936
CREATED:20240503T171340Z
LAST-MODIFIED:20240503T171340Z
UID:10007963-1715875200-1715879700@seasevents.nmsdev7.com
SUMMARY:Penn Engineering Commencement 2024: Doctoral Ceremony
DESCRIPTION:Celebrate Penn Engineering’s 2024 Doctoral Graduates. Additional information is available on the Penn Engineering Commencement website.
URL:https://seasevents.nmsdev7.com/event/penn-engineering-commencement-2024-doctoral-ceremony/
LOCATION:Irvine Auditorium\, 3401 Spruce Street\, Philadelphia\, PA\, 19104\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240517T140000
DTEND;TZID=America/New_York:20240517T163000
DTSTAMP:20260403T153936
CREATED:20240503T171127Z
LAST-MODIFIED:20240503T171127Z
UID:10007962-1715954400-1715963400@seasevents.nmsdev7.com
SUMMARY:Penn Engineering Commencement 2024: Master's Ceremony
DESCRIPTION:Celebrate the Penn Engineering 2024 Master’s Graduates. Additional information is available on the Penn Engineering Commencement website.
URL:https://seasevents.nmsdev7.com/event/penn-engineering-commencement-2024-masters-ceremony/
LOCATION:Palestra\, 223 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240518T090000
DTEND;TZID=America/New_York:20240518T103000
DTSTAMP:20260403T153936
CREATED:20240502T165541Z
LAST-MODIFIED:20240502T165541Z
UID:10007960-1716022800-1716028200@seasevents.nmsdev7.com
SUMMARY:Celebrating Penn Engineers: Past\, Present and Future
DESCRIPTION:Penn Engineering invites all alumni\, family and friends to join us for the dedication of two new hallway installations that honor the past while inspiring the future. Join Dean Kumar to reconnect with classmates and hear remarks from notable alumni. Breakfast will be provided at 9:00am\, program begins at 9:45 a.m. Click to see the full schedule of events for Penn Alumni Weekend.
URL:https://seasevents.nmsdev7.com/event/celebrating-penn-engineers-past-present-and-future/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Alumni
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240518T140000
DTEND;TZID=America/New_York:20240518T160000
DTSTAMP:20260403T153936
CREATED:20240503T170249Z
LAST-MODIFIED:20240503T170249Z
UID:10007961-1716040800-1716048000@seasevents.nmsdev7.com
SUMMARY:Penn Engineering Commencement 2024: Undergraduate Ceremony
DESCRIPTION:Celebrate the Penn Engineering Undergraduate Class of 2024. Additional information is available on the Penn Engineering Commencement website.
URL:https://seasevents.nmsdev7.com/event/penn-engineering-commencement-2024-undergraduate-ceremony/
LOCATION:Palestra\, 223 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
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