- Mon, Apr 19, 2021, 4:30 pm to 6:00 pm
- Wed, Jan 20, 2021, 9:30 am to 11:00 am
- Fri, Jan 15, 2021, 4:30 pm to 5:30 pm
- Mon, Dec 28, 2020, 1:00 pm to 2:30 pm
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.
- Tue, Dec 22, 2020, 10:00 am to 11:30 am
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.
- Mon, Nov 23, 2020, 4:30 pm to 5:30 pm
Abstract: 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.
- Mon, Nov 9, 2020, 4:30 pm to 5:30 pm
Abstract: 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%.
- Tue, Nov 3, 2020, 4:30 pm to 5:30 pm
Abstract: 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.
- Fri, Oct 30, 2020, 11:00 am to 12:30 pm
- Wed, Dec 2, 2020, 4:30 pm to 5:30 pm