Electrical and Computer Engineering | UC Santa Barbara

Moody Lab: Chip-scale Magnetometer

Based on a magneto-optic material, the precision magnetometer could enable light-weight and low-power sensing for space, navigation and medical applications.
Electrical and Computer Engineering | UC Santa Barbara

OPUS Lab – New Digital Design Facilitates Scalable Probabilistic Computing

AI/ML could become more efficient, due to computer component developed by OPUS & Tohoku U, in collaboration w/ TSMC ...
ece.ucsb.edu

Dec 3 (Wed) @9:00am: "Improving Friction Modeling for Robotics via Physics Informed Neural Networks," Asutay Ozmen, ECE PhD Defense

Location: Harold Frank Hall (HFH), Room 4110B (ECE Conf. Rm.) Accurately modeling friction in robotics remains a core challenge, as robotics simulators like Mujoco and PyBullet use simplified friction ...
ece.ucsb.edu

ECE Seminar Series – Oct 31 (Fri) @ 2:00pm: "Signal Processing Meets RF Hardware: Compensating RF Nonidealities in Future Wireless Systems,” Nuutti Tervo, Visiting ...

Radio frequency (RF) transmitters and receivers contain multiple nonideal hardware components. In modern transceiver architectures, understanding their behavior and properties is essential for ...
ece.ucsb.edu

ECE Seminar Series – Oct 10 (Fri) @ 2:00 PM: "Co-Packaged Optical Transceivers for HPC, Data Center, and AI Applications," Daniel M. Kuchta, Principal Hardware System ...

This talk will cover the status of co-packaging efforts, both VCSEL- and SiPh-based, where they fit into the Ethernet switch market and the evolving Computer IO market, and how these technologies are ...
ece.ucsb.edu

Sep 9 (Tues) @ 2:00PM: "Optimization of Emerging Relaying Paradigms in Next-Generation Communication Networks," Winston Hurst, ECE PhD Defense

Zoom Meeting: https://ucsb.zoom.us/j/88579819067?pwd=4ajB7I2IC8XscRDssQUU2YdkDSKHPn.1 Next-generation communication systems will leverage emerging paradigms to ...
ece.ucsb.edu

ECE Seminar Series – Jun 6 (Fri) @ 2:00 pm: “Silicon Photonic Integrated Circuits, John E. Bowers, Dir. of the Inst. for Energy Efficiency and Prof. ECE and Materials, UCSB

Tremendous progress is being made at silicon photonic foundries around the world to improve the performance, yield and capability of photonic integrated circuits (PICs) and that is opening up new ...
ece.ucsb.edu

ECE Seminar Series – Mar 3 (Mon) @ 2:00pm: "Can Spintronics Help Make Computing More Efficient?," Mark Stiles, NIST Fellow, National Institute of Standards and Technology

In this talk, I discuss why computer designers are looking to develop novel ways of computing for a variety of common but specialized tasks, why spintronic devices, particularly magnetic tunnel ...
ece.ucsb.edu

Feb 18 (Tue) @10am: "Quantum Nanophotonics Using Heterogeneous Materials Integration: From Single Photons to Integrated Lasers,” Richard Mirin, NIST

The Quantum Nanophotonics Group at the National Institute of Standards and Technology (NIST) in Boulder, CO develops new semiconducting and superconducting technologies for advanced metrology needs ...
ece.ucsb.edu

Jan 28 (Tue) @ 10am: "Pushing the Boundaries of Modern Application-Aware Computing Stacks,” Christina Giannoula, U. of Toronto

Modern computing systems encounter significant challenges related to data movement data movement in applications, such as data analytics and machine learning. Within a compute node, the physical ...
ece.ucsb.edu

Dec 10 (Tue) @ 10:00am: "Photonic Integrated Coil Cavity Ultra-low Linewidth Stabilized Lasers and Applications," Kaikai Liu, ECE PhD Defense

Silicon nitride has become a widely used material platform for photonic integrated circuits (PICs), due to its broad optical transparency window (400 nm – 2.5 μm), relatively high refractive index, ...
ece.ucsb.edu

Dec 5 (Thu) @ 4:30pm: "Understanding Overparameterized Neural Networks: Insights into Imbalances and Neural Representations," Ganesh R Kini, ECE PhD Defense

This talk explores the properties of overparameterized deep neural networks, with a particular focus on training with imbalanced data. We propose a theoretically grounded loss function tailored for ...