Audience: Graduate Students
-

DeGrendele, C. (AM) – Learning-Augmented and Structure-Preserving Methods for Conservation Law Solvers
In this work, we develop numerical methods for conservation laws that explore statistical, structure-preserving, and machine-learning-based approaches, each built on top of traditional numerical solvers. First, we develop a general […]
-

Kraw Lecture: Sensing the Unseen: How Drones and Ground Sensors Reveal the Hidden Air Quality Impact
How can flying robots help us track the air we breathe and the pollutants we can’t see? In this talk, Assistant Professor Javier González-Rocha will share how his team uses […]
-

John O. Jordan: “Dickens and Soundscape: The Old Curiosity Shop”
Please join the Dickens Project for the rescheduled Dickens Universe talk by John Jordan, Dickens Project Co-Founder and Co-Director. Delve into the sounds of ‘The Old Curiosity Shop’ on Sunday, December 7, from 1:00-2:30 PM (Pacific time).
-

AM Seminar: Denoising: A Powerful Building Block for Imaging, Inverse Problems and Machine Learning
Presenter: Peyman Milanfar, Distinguished Scientist, Google Description: Denoising, the process of reducing random fluctuations in a signal to emphasize essential patterns, has been a fundamental problem of interest since the […]
-

Littschwager, N. (CSE) – A Proposal for Characterizing Replicated Systems and Emulators
Simulation is a coinductive proof technique to assert the behavioral equivalence of computing systems that has seen fruitful application in distributed systems, concurrent process calculi, and programming languages, since the […]
-

Ramollari, H. (ECE) – An Optofluidic Spectrometer and Applications in Biosensing
Miniaturized spectrometers have the potential to replace bulky and expensive benchtop models. We have previously demonstrated a multimode interference (MMI) waveguide-based spectrometer that achieves high performance while minimizing its footprint. […]
-

Jorquera, Z. (CSE) – Quantum Entanglement Bounds and the Approximation Algorithms That Use Them
One of the central challenges in quantum computing is finding or approximating the ground-state energy of a local Hamiltonian, a quantum analogue of classical constraint satisfaction problems (CSPs). Among these, […]


