Computational Optics for Control and Readout of Neural Activity
Wed, Feb 17, 2021, 4:30 pm to 5:30 pm
Electrical Engineering
Preconditioning Helps: Faster Convergence in Statistical and Reinforcement Learning
Mon, Apr 19, 2021, 4:30 pm to 6:00 pmHigh-bandwidth processing of heterodyne spectroscopic signals for remote and extractive chemical sensing
Wed, Jan 20, 2021, 9:30 am to 11:00 amAbstract
Deep Networks from First Principles
Fri, Jan 15, 2021, 4:30 pm to 5:30 pmElectrical Engineering & Center for Statistics and Machine Learning Seminar
Please register using this link
Abstract:
Superconducting kinetic inductance devices for pulsed electron spin resonance and transport of electrons on shallow superfluid helium
Mon, Dec 28, 2020, 1:00 pm to 2:30 pmAbstract
Quantum computers have potential to speed up information processing through the use of quantum algorithms and to enable better understanding of quantum systems through quantum simulation. The work in this thesis addresses experimental challenges in realizing quantum computers based on electron spins bound to donors in silicon or floating on the surface of superfluid helium, both among the most promising platforms for building scalable quantum computers.
Rate dependent heterogeneities in batteries
Tue, Dec 22, 2020, 10:00 am to 11:30 amAbstract
Batteries represent a dominant technology in energy storage. Due to their widespread deployment in applications ranging from commercial electronics and electric vehicles to grid scale energy storage, these devices continue to be a major focus of research interest; as applications continue developing, batteries are subjected to increasing demands related to energy density and power density.
High-Speed CMOS Serial Transmitters for 56-112Gb/s Electrical Interconnects
Mon, Nov 23, 2020, 4:30 pm to 5:30 pmAbstract: Data rates in high-speed wireline communication links continue to increase, fueled by demands in data center and high-performance computing applications. In recent years, serial link data rates have increased from 28Gb/s to 56Gb/s, with 112Gb/s rapidly approaching. To achieve these higher data rates across high-loss electrical channels, standards are switching from NRZ to PAM4 signaling.
Deep Convolutional Neural Networks for Device Identification
Mon, Nov 9, 2020, 4:30 pm to 5:30 pmAbstract: Network densification is poised to enable the massive throughout jump expected in the era of 5G and beyond. In the first part of the talk, we identify the challenges of verifying identify of a particular emitter in a large pool of similar devices based on unique distortions in the signal, or ‘RF fingerprints’, as it passes through a given transmitter chain. We show how deep convolutional neural networks can uniquely identify a radio in a large signal dataset composed of over a hundred WiFi radios with accuracy close to 99%.
Low-Power Communication Circuits and Technologies for Emerging Internet-of-Things Applications
Tue, Nov 3, 2020, 4:30 pm to 5:30 pmAbstract: Emerging Internet-of-Things (IoT) devices for use in smart homes, wearable systems, industrial monitoring, smart cities, and beyond all require robust yet low-power wireless communications. Unfortunately, most current wireless standards do not intrinsically support low-power operation due to strict requirements on modulation formats, data rates, linearity, packet overheads, and so on.
Mitigation of coherent noise and spectral interference in integrated and free-space mid-infrared laser spectrometers
Fri, Oct 30, 2020, 11:00 am to 12:30 pmAbstract
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