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IDEAS Seminar: “An optimization framework for designing robust state estimators”

Levine 307 3330 Walnut Street, Philadelphia, PA, United States

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 […]

infoLeNS Seminar: “Emerging computational imaging inverse problems: from theory to algorithms”

Room 452 C, 3401 Walnut 3401 Walnut Street, Philadelphia, PA, United States

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 […]

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

Raisler Lounge (Room 225), Towne Building 220 South 33rd Street, Philadelphia, PA, United States

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 in an expanded variety of materials systems is beneficial for applications, since the host-defect material properties determine operating parameters such as emission wavelength, spin coherence […]

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

Berger Auditorium (Room 13), Skirkanich Hall 210 South 33rd Street, Philadelphia, PA, United States

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 for Linear Temporal Logic (LTL) planning, extending it to completely unknown environments to enable dynamic understanding and task fulfillment. Large language models (LLMs) are also […]

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

Glandt Forum, Singh Center for Nanotechnology 3205 Walnut Street, Philadelphia, PA, United States

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 and wurtzite-structured AlN films, respectively. The ferroelectricity in doped HfO2 or ZrO2 has been attributed to a previously unknown non-centrosymmetric orthorhombic Pca21 phase, while it […]

ESE Ph.D. Thesis Defense: “Fair and Generalizable Machine Learning for Neuroimaging”

Zoom - Meeting ID 3394168579

Machine learning has been widely adopted to medical imaging research, yet it suffers from domain shift for real world applications. Due to the heterogeneity of medical data, machine learning-based diagnostic models are also prone to biases. In this thesis, we start from arguing the necessity of domain adaptation to achieve the optimal performance for each […]

ESE Ph.D. Thesis Defense: “Graph Machine Learning under Requirements”

Greenberg Lounge (Room 114), Skirkanich Hall 210 South 33rd Street, Philadelphia, PA, United States

Graphs are powerful mathematical tools that enable modeling of complex systems. Graph machine learning exploits possibly unknown data structures, which provides a unified approach to tackle a wide variety of problems. However useful in practice, graph machine learning solutions tend to suffer from three main limitations: they do not scale with the size of the […]

ESE Seminar: “Designing emerging computing systems with ferroelectric devices”

Greenberg Lounge (Room 114), Skirkanich Hall 210 South 33rd Street, Philadelphia, PA, United States

This talk will present a brief overview of advances in ferroelectric devices and their integration into computing systems to provide novel functionality and energy efficiency in various data intensive applications. The talk will emphasize on cross-stack design opportunities in designing stacked intelligent 3D memory systems.

ESE PhD Thesis Defense: “Aluminum Scandium Nitride Ultra-Wideband Resonator and Filter Systems”

Room 35, Singh Center for Nanotechnology 3205 Walnut Street, Philadelphia, PA, United States

Aluminum scandium nitride (AlScN), a ternary alloy by doping scandium into aluminum nitride (AlN), has circumspectly gained recognition through the last decade as one of the promised materials in forming the next generation radio frequency (RF) filters and resonators - core components in the wireless telecommunication systems that interconnect today’s world. This, coupled with the […]

ESE Ph.D. Thesis Defense: “Integrating graphene Hall sensors with co-designed silicon circuits for high-throughput magnetic biosensing”

Auditorium, LRSM Building 3231 Walnut Street, Philadelphia, PA, United States

The limitations of silicon electronic devices increasingly constrain the performance of silicon integrated circuits (ICs) and their use in new applications. Next-generation devices with exceptional performance and new functionalities have been realized using two-dimensional materials such as graphene. For example, graphene Hall-effect sensors (GHSs) greatly outperform commercial silicon magnetic-field sensors and could significantly improve the […]