Protecting User Security and Privacy in Emerging Platforms
Tue, Feb 16, 2021, 4:30 pm to 5:30 pm
Electrical Engineering
Probing Biology in the Native State: From Long-Term Brain Electrophysiology to Subcellular Dynamic Imaging
Tue, Feb 23, 2021, 4:30 pm to 5:30 pmMulti-Functional Devices and Systems: Applications and Emphasis on Global Health
Mon, Feb 15, 2021, 4:30 pm to 5:30 pmComputational Optics for Control and Readout of Neural Activity
Wed, Feb 17, 2021, 4:30 pm to 5:30 pmPreconditioning Helps: Faster Convergence in Statistical and Reinforcement Learning
Mon, Apr 19, 2021, 4:30 pm to 6:00 pmAbstract:
High-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.
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