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5th Annual Mechanobiology Symposium
This two-day symposium is organized by the Center for Engineering MechanoBiology (CEMB) with support from the National Science Foundation. The theme will be MechanoImmunology and Epigenetics. The CEMB is a Science and Technology Center funded by the National Science Foundation; our research focus is to advance the study of mechanical forces in molecules, cells, and tissues in plants […]
Sunday, April 2, 2023
No events on this day.
Monday, April 3, 2023
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April 3, 2023 -MEAM Seminar: “Wall-modeled Large-eddy Simulation of the Turbulent Boundary Layer with Mean-flow Three-dimensionality”
MEAM Seminar: “Wall-modeled Large-eddy Simulation of the Turbulent Boundary Layer with Mean-flow Three-dimensionality”
The capability to predict high-Reynolds-number turbulent flows is essential for many natural and engineering flows such as external aerodynamics of wind turbines and aircraft wings, flow over the hull of marine vehicles, atmospheric boundary-layer flow over complex landscapes and cityscapes. However, due to extreme disparity of scales present in high-Reynolds-number wall-bounded turbulent flows, any attempt […]
Tuesday, April 4, 2023
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April 4, 2023 -MEAM Seminar: “Material-Enabled Technologies for Soft and Fluidic Robots”
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April 4, 2023 -(Re)Connecting in the Classroom: Evan C Thompson Lecture on Excellence in Teaching
MEAM Seminar: “Material-Enabled Technologies for Soft and Fluidic Robots”
The emerging field of soft robotics, which incorporates unconventional or compliant materials in autonomous systems, has simultaneously reshaped traditional robotics applications and introduced new use cases for robots. However, many useful classes of materials remain relatively unexplored, and furthermore, the vast majority of soft robotics research has targeted actuation and sensing, with power and control […]
(Re)Connecting in the Classroom: Evan C Thompson Lecture on Excellence in Teaching
Lately there has been much talk in universities and the public about "the great disengagement." As we emerge from the pandemic era, many students and instructors alike are experiencing a lack of energy and motivation, and we are seeking encounters in the classroom that are transformative, rather than simply transactional. In this talk, Daeyeon Lee […]
Wednesday, April 5, 2023
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April 5, 2023 -MEAM Ph.D. Thesis Defense: “Towards Digital Twins for Cardiovascular Flows: A Hybrid Machine Learning and Computational Fluid Dynamics Approach”
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April 5, 2023 -ASSET Seminar: Lockout: Sparse Regularization of Neural Networks, Gilmer Valdes (UCSF)
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April 5, 2023 -Spring 2023 GRASP SFI: Matt Zucker, Swarthmore College, “Robotics education and research at a liberal arts college”
MEAM Ph.D. Thesis Defense: “Towards Digital Twins for Cardiovascular Flows: A Hybrid Machine Learning and Computational Fluid Dynamics Approach”
To design personalized treatment strategies, a number of measurable quantities (biomarkers) that relate a patient’s clinical representation to the existence, progress, and outcome of a disease need to be identified and measured. In cases where a biomarker is strongly correlated with the disease outcome, e.g. vascular pressure for hypertension, changes to the biomarker will perfectly […]
ASSET Seminar: Lockout: Sparse Regularization of Neural Networks, Gilmer Valdes (UCSF)
ABSTRACT: Many regression and classification procedures fit a function f(x;w) of predictor variables x to data 〖{x_i,y_i}〗_1^N based on some loss criterion L(y,f(x;w)). Often, regularization is applied to improve accuracy by placing a constraint P(w)≤t on the values of the parameters w, where P is a monotonic increasing function of the absolute values of the […]
Spring 2023 GRASP SFI: Matt Zucker, Swarthmore College, “Robotics education and research at a liberal arts college”
This is a hybrid event with in-person attendance in Levine 307 and virtual attendance via Zoom. This week's presenter will be in-person as well. ABSTRACT In this talk, I will describe the transition from a research-intensive PhD to a position at a teaching-focused undergraduate institution in the context of my own career trajectory. Key topics […]
Thursday, April 6, 2023
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April 6, 2023 -MSE Seminar: “Designing Quantum Properties and Functionalities in Heterostructures” (MIT)
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April 6, 2023 -BE Doctoral Dissertation Defense: “Investigating the Role of Lipid Droplets as Intracellular Mechanical Stressors in Non-alcoholic Fatty Liver Disease” (Abigail Lonker)
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April 6, 2023 -IoT4Ag Seminar: Sensing and Robotics for Specialty Crop Production
MSE Seminar: “Designing Quantum Properties and Functionalities in Heterostructures” (MIT)
Interfaces in heterostructures often exhibit emergent physical properties that are absent in the constituent layers. These heterostructures, together with their compatibility with nanofabrication, are promising for constructing functional quantum devices. I will illustrate the capability of such heterostructure engineering by taking two examples. I will first explain our discovery of a versatile method for synthesizing […]
BE Doctoral Dissertation Defense: “Investigating the Role of Lipid Droplets as Intracellular Mechanical Stressors in Non-alcoholic Fatty Liver Disease” (Abigail Lonker)
The Department of Bioengineering at the University of Pennsylvania and Dr. Rebecca Wells are pleased to announce the Doctoral Dissertation Defense of Abigail Lonker. Title: Investigating the Role of Lipid Droplets as Intracellular Mechanical Stressors in Non-alcoholic Fatty Liver Disease Date: April 6, 2023 TIme: 1:00 PM Location: Smilow Center for Translational Research in SCTR […]
Friday, April 7, 2023
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April 7, 2023 -PICS Colloquium: “Deep Anomaly Detection using Coincident Learning”
PICS Colloquium: “Deep Anomaly Detection using Coincident Learning”
Anomaly detection is a crucial task in the operation of complex systems such as industrial facilities, manufacturing plants, and large-scale science experiments. Failures in a sub-system can result in low yield, faulty products, or damage to components, making it essential to detect anomalies as quickly as possible. Despite the abundance of data available for complex […]
Saturday, April 8, 2023
No events on this day.