Seminars

Sep 27, 2024 - 11:00am
Addressing Large Models: Multiple and Hierarchical Universality
Meir Feder, Tel Aviv University

Universal coding, prediction and learning consider the situation where the data generating mechanism is unknown or non-existent, and the goal of the universal predictor/learner is to compete with Learn More



Aug 22, 2024 - 11:00am
Emerging Computational Imaging Inverse Problems: From Theory to Algorithms
Dr. Shirin Jalali, ECE, Rutgers University

In this talk, I will focus on two challenging imaging systems: snapshot compressive imaging and coherent imaging under speckle noise interference. I will begin by reviewing the core mathematical Learn More



Aug 21, 2024 - 1:00pm
Luminescent Photonic Metamaterials and Devices from THz to Optical Frequencies
Qing Gu, ECE and Physics, North Carolina State University

A crucial yet unavailable component in high-performance photonic integrated circuits (ICs) and other chip-scale photonic systems is an on-chip light source that is efficient, economical, IC- Learn More



Aug 16, 2024 - 11:00am
Organic Nervetronics: Neuromorphic Bioelectronics
Tae-Woo Lee, Department of Materials Science and Engineering, Seoul National University

Organic nervetronics is a new field of neuroprosthetics in which electrophysiological signals are relayed by the organic artificial synapses and artificial neurons instead of damaged nerves in the Learn More



Feb 25, 2020 - 1:00pm
Testing High-Dimensional Distributions: Subcube Conditioning, Random Restrictions, and Mean Testing
Clément Canonne - IBM Research, Almaden

Given a distribution p​​ on {-1,1}^d​​, we want to test whether p​​ is uniform. If p is assumed to be a product distribution, this can be done with Theta(sqrt{d}) samples; without this assumption Learn More



Feb 18, 2020 - 2:10pm
Self-Programming Networks: Applications to Financial Trading Systems
Balaji Prabhakar, Stanford University

We describe Self-Programming Networks (SPNs), an ongoing research effort at Stanford for making data center networks autonomous; that is, to enable networks to sense and Learn More



Dec 6, 2019 - 10:00am
Towards a Theory of Information for Dynamical Systems
Victoria Kostina, Caltech

We are moving towards a massively and diversely connected world populated by a seamless network of intelligent, dynamic distributed systems engaged in a shared interaction with the physical world Learn More



Nov 25, 2019 - 1:00pm
A Leap in Time: Learning and Reasoning with Videos
Xiaolong Wang

The field of computer vision has been completely transformed by the success of deep Convolutional Neural Networks (ConvNets). State-of-the-art deep models have led to large advancements in visual Learn More



May 30, 2019 - 3:30pm
Wave-front Sensing and Shaping Techniques and Their Applications in Nanotechnology and Biology
YongKeun Park

In this talk, we will present the applications of inverse scattering principles with digital holography [1-5]. First, I will present the holotomography – a 3D quantitative phase imagign techniques Learn More