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MSE Seminar: “Turbo-charging Silicon: Do we have the materials and devices?” (Deep Jariwala) University of Pennsylvania

Wu and Chen Auditorium (Room 101), Levine Hall 3330 Walnut Street, Philadelphia, PA, United States

Silicon has been the dominant material for electronic computing for decades and very likely will stay dominant for the foreseeable future. However, it is well-known that Moore’s law that propelled Silicon into this dominant position is long dead.  Therefore, a fervent search for (i) new semiconductors that could directly replace silicon or (ii) new architectures […]

ESE Fall Seminar – “Stochastic Geometry for Networks”

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

Stochastic geometry is a branch of probability theory that deals with the study of random spatial patterns. Random point patterns, termed point processes, are the most basic such objects that appear in numerous applications. After presenting a brief introduction to point processes, we will present our work on the stochastic modeling and analysis of wireless […]

ESE PhD Thesis Defense: “Learning, Privacy, and Reliable Communication in Large Data Networks”

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

This thesis explores advancements in three distinct domains: communications, privacy, and machine learning. Within the realm of communication, a comprehensive study is conducted on channel coding at low capacity, a critical aspect of Internet of Things (IoT) technology requiring reliable transmission over channels with minimal capacity. Despite existing finite-length analyses yielding inaccurate predictions and current […]

ESE Fall Seminar – “Electromagnetics for advanced power electronics and wireless power transfer”

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

Power electronics is an essential enabler for efficient energy utilization across many different applications as well for renewable electricity generation.  Advances in power semiconductor materials and devices are improving power electronics capabilities, but power electronics also relies heavily on passive electromagnetic components---inductors, transformers, and capacitors.  The capabilities of these components are increasingly the bottlenecks limiting […]

ESE Fall Seminar – “Magnetic technologies for battery-free bioelectronics and neuromodulation”

Room 337, Towne Building 220 South 33rd Street, Philadelphia, PA, United States

Miniature implanted and injected technologies capable of manipulating and recording biological signals promise to improve the way we study biology and the way we diagnose and treat disease; however, to create an effective bioelectronic network we must overcome myriad engineering challenges. In this talk, I will describe how we can leverage unique material properties to […]

ESE Grace Hopper Lecture – “Disrupting NextG”

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

As 5G takes to the airwaves, we now turn our imagination to the next generation of wireless technology. The promise of this technology has created an international race to innovate, with significant investment by government as well as industry. And much innovation is needed as 6G aspires to not only support significantly higher data rates […]

ESE Spring Seminar – “Physics-inspired Machine Learning”

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

Combining physics with machine learning is a rapidly growing field of research. Thereby, most work focuses on leveraging machine learning methods to solve problems in physics. Here, however, we focus on the converse, i.e., physics-inspired machine learning, which can be described as incorporating structure from physical systems into machine learning methods to obtain models with […]

ESE & CIS Spring Seminar – “Beyond the black box: characterizing and improving how neural networks learn”

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

The predominant paradigm in deep learning practice treats neural networks as "black boxes". This leads to economic and environmental costs as brute-force scaling remains the performance driver, and to safety issues as robust reasoning and alignment remain challenging. My research opens up the neural network black box with mathematical and statistical analyses of how networks […]

ESE Spring Seminar – “White-Box Computational Imaging: Measurements to Images to Insights”

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

Computation and machine learning hold tremendous potential to improve the quality and capabilities of imaging methods used across science, medicine, engineering, and art. Despite their impressive performance on benchmark datasets, however, deep learning methods are known to behave unpredictably on some real-world data, which limits their trusted adoption in safety-critical domains. Accordingly, in this talk […]

ESE & BE Spring Seminar – “Ultra-high-throughput computational imaging: towards a trillion voxels per second”

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

Traditional biomedical imaging techniques face throughput bottlenecks that limit our ability to study complex dynamic samples like cells, organoids, tissues, and organisms. In particular, hardware-only systems have inherent physical limitations preventing the simultaneous improvement of resolution, field of view, and frame rate. In this seminar, I propose that large-scale, machine learning-accelerated computational imaging will be […]