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ESE Ph.D. Thesis Defense: “Mobile Mission Planning in Uncertain Environments”

Robotic mission planning in uncertain environments remains a formidable challenge due to environmental complexity and sensor noise. This dissertation introduces new methodologies to tackle these issues. We develop a method […]

ESE Seminar: “Fluorite and Wurtzite Structure Ferroelectrics. From Fundamentals to Semiconductor Applications”

Ferroelectric properties were initially discovered in perovskite-structured materials over a century ago. However, it was only in the last two decades that these properties were confirmed in fluorite-structured doped HfO2 […]

ESE PhD Thesis Defense: “Engineering copper-vacancy color centers in zinc sulfide for quantum defect discovery”

Photoluminescent point defects, or color centers, in wide-bandgap semiconductors are important platforms for quantum information science because they can be operated as solid-state quantum spin-light interfaces. Implementing so-called defect qubits […]

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 […]

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 […]

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 […]

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, […]

ESE PhD Thesis Defense: “Low Noise and Low Power Front-end Circuit Design for Bio-Signal Recordings”

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 […]

Penn Engineering 2024 Commencement Open House

On Monday, May 20, 2024, from 12:15-2:15 p.m., Penn Engineering will host an Open House for the School’s returning graduates and their families throughout the first floors of the main […]

Celebrating Penn Engineers: Past, Present and Future

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 […]

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