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Sunday, June 2, 2024
No events on this day.
Monday, June 3, 2024
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June 3, 2024 -ESE PhD Thesis Defense: “Integrated Electronic-Photonic Solutions From Quantum Control Systems to Optical Transmitters”
ESE PhD Thesis Defense: “Integrated Electronic-Photonic Solutions From Quantum Control Systems to Optical Transmitters”
Silicon's advanced fabrication processes have enabled the miniaturization of complex electronic systems, enhancing performance and efficiency. Recent technological developments have further expanded silicon's utility to integrate photonic systems, merging electronic and photonic technologies on a single chip. This integration has opened new avenues for high-speed communication and computation, attracting significant interest from both research and […]
Tuesday, June 4, 2024
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June 4, 2024 -MEAM Seminar: “Dynamically Tunable Adhesion and Friction via Active Materials with Thermally Modulated Stiffness”
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June 4, 2024 -ESE PhD Thesis Defense: “Algorithms for Adversarially Robust Deep Learning”
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June 4, 2024 -GRASP Seminar: Lillian Chin, University of Texas at Austin, “Materials Make the Bot: Directly Embedding Actuation and Perception into Robotic Structures”
MEAM Seminar: “Dynamically Tunable Adhesion and Friction via Active Materials with Thermally Modulated Stiffness”
Contact interactions, including adhesion and friction, are critical to the design of many engineered systems. Currently, most systems rely on materials with static mechanical properties, requiring careful selection of materials to realize effective systems for specialized tasks. However, with advances in smart materials, system design is no longer limited to materials with static properties. There […]
ESE PhD Thesis Defense: “Algorithms for Adversarially Robust Deep Learning”
Given the widespread use of deep learning models in safety-critical applications, ensuring that the decisions of such models are robust against adversarial exploitation is of fundamental importance. In this thesis, we discuss recent progress toward designing algorithms that exhibit desirable robustness properties. First, we discuss the problem of adversarial examples in computer vision, for which […]
GRASP Seminar: Lillian Chin, University of Texas at Austin, “Materials Make the Bot: Directly Embedding Actuation and Perception into Robotic Structures”
*This seminar will be held in-person in Levine 307 as well as virtually via Zoom. ABSTRACT To make a future where robots are helpful and commonplace, robots must physically interact with humans and their surroundings. In this talk, I argue that robots should be designed from a materials-centric approach to better facilitate these interactions. If […]
Wednesday, June 5, 2024
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June 5, 2024 -xLab Seminar: “Learning to Control with Vision–Language Models”
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June 5, 2024 -IDEAS Seminar: “An optimization framework for designing robust state estimators”
xLab Seminar: “Learning to Control with Vision–Language Models”
If learning from data is valuable, can learning from big data be very valuable? It has been, so far, in vision and language, for which foundation models can be trained on web-scale data to support a plethora of downstream tasks; not so much in control, for which scalable learning remains elusive. Can information encoded in […]
IDEAS Seminar: “An optimization framework for designing robust state estimators”
Cyber-physical systems often include communication networks that ensure data transmission between different components of the system (sensors, actuators, processing units, etc). The presence of such networks renders the whole system vulnerable to malicious attacks consisting, for example, in the injection of arbitrary signals. In this context, the data collected over the communication channel may be […]
Thursday, June 6, 2024
No events on this day.
Friday, June 7, 2024
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June 7, 2024 -BE Doctoral Dissertation Defense: “Goal-Directed Dynamics of Network Topology” (Shubhankar Patankar)
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June 7, 2024infoLeNS Seminar: “Emerging computational imaging inverse problems: from theory to algorithms”
BE Doctoral Dissertation Defense: “Goal-Directed Dynamics of Network Topology” (Shubhankar Patankar)
The Department of Bioengineering at the University of Pennsylvania and Dr. Dani Smith Bassett are pleased to announce the Doctoral Dissertation Defense of Shubhankar Patankar. Title: Goal-Directed Dynamics of Network Topology Date: June 7, 2024 Time: 11:30 am - 1:30 pm Location: Heilmeier Hall, Room 100 Towne Building Zoom: https://upenn.zoom.us/j/95495692170 The public is welcome to attend.
infoLeNS Seminar: “Emerging computational imaging inverse problems: from theory to algorithms”
In this talk, I will focus on two challenging imaging systems: snapshot compressive imaging and coherent imaging under speckle noise interference. I will begin by reviewing the core mathematical modeling of the inverse problem corresponding to each system. I will develop a maximum likelihood estimator (MLE)-based optimization for each, employing untrained neural networks (NNs) to […]
Saturday, June 8, 2024
No events on this day.