Name: Learning-based Koopman modeling for efficient state estimation and control of nonlinear processes
Start: 2024-10-04T15:30:00-04:00
End: 2024-10-04T16:30:00-04:00
Location: 1303 EECS Building

Sep 5

1:00 pm - 3:00 pm

Novel Sensing Approach for Shoulder Kinematics – Exploring Kirigami-Inspired Sensing and Machine Learning Platforms for At-Home Joint Monitoring

3725 Beyster Building 2260 Hayward Street, Ann Arbor

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Events

Towards Clinically Applicable Reinforcement Learning

Characterizing and Improving Next-Generation Network Infrastructures and Applications

Towards Video Understanding through Language in Real-life Settings

Advancing Graph Neural Networks for Complex Data: A Perspective Beyond Homophily

Transforming Disfluency Detection: Integrating Large Language and Acoustic Models

Predicting the Timing of Clinical Outcomes in the Presence of Multiple Events and Noisy Labels

Domain-Specific Acceleration: From Efficient Vision Processing Hardware to High-Performance Quantum Computing Software

Evolutionary Design for Electronic Design Automation

Machine Learning Meets Analog Circuit Design: Intelligent Automation of IC Design

Stochastic Optimisation Methods Applied to Image Reconstruction: results, software and outlook.

Friday Night AI: “AI and the Future of Creative Expressions”

In-Pixel Processing and In-Memory Computing in CMOS Image Sensors for Augmented Reality

Scalable Real-time Abnormal Event Detection

Let’s Go Sparse: Towards Sparse-Aware Computing System Design

Tactile Sensing Based on Gallium Nitride Light-Emitting Diodes

Novel Technologies for Accelerated MRI

Optimizing Graph Applications Through Graph Sparsification and Accelerator Design

Interpretability, Controllability, and Expressivity in the Age of Language Models

CUOS Noon Seminar: Do Graph Neural Networks dream of Landau Damping?

EECS Juneteenth Celebration: Celebrating Excellence in People-First Engineering and Computing

Enhancing Living Spaces: Integrating Digital Interfaces into Everyday Environments

Agnostic, Post-Training Backdoor Defense for Deep Learning

Quality of Service for Performance-Critical Cloud Applications

Enabling Robot Arm Motion with Multiple Objectives Through Agent Representation and Reasoning

Three Lenses on Improving Programmer Productivity: From Anecdote to Evidence

Learning to Interact with the 3D World

Optimal Exploration for Model-Based RL in Nonlinear Systems

Nanoscale and Alloy Engineering of III-Nitride Semiconductors for High-Efficiency Solar Photocatalysis and Optoelectronics

Growth and Characterization of Ultra-wide Bandgap III-N by Plasma-Assisted Molecular Beam Epitaxy

Grant Writing Support Drop-In Office Hours

Understanding and Identifying Challenges in Design of Safety-Critical AI Systems

Toward Effective Neural Architectures and Algorithms for Generalizable Deep Learning

Arbitrary Field Transformations Using Practical Cylindrical Metasurfaces

Multi-Scale Process TCAD at the Institute for Microelectronics, TU Wien

Interdependent privacy in third-party apps: past, present, and future

Canceled, To Be Rescheduled

Reconstructing Full 3D Geometry and Interaction Dynamics from Real World data

Combating Randomness: Towards Efficient Data-Intensive Applications Using Software-Hardware Co-Design

Coherent Physical Commonsense Reasoning in Foundational Language Models

CSE Carnival

Novel Sensing Approach for Shoulder Kinematics – Exploring Kirigami-Inspired Sensing and Machine Learning Platforms for At-Home Joint Monitoring

Permutation-Free Kernel Hypothesis Tests

ECE Resume Reviews

Generative AI: From Theory to Scientific Applications

Robust Online Convex Optimization for Disturbance Rejection

CLAWS Mass Meeting 1

Electrical Engineering (EE) Group Declaration and Major Signing Day

Towards Calibrated, Sharp, and Interpretable Probabilistic Prediction

AI Lab Idea Snippets

2024 ECE Student Headshots

DCMB / CCMB Weekly Seminar featuring Mason A. Porter (UCLA)

Electrical and Computer Engineering (ECE) Open House

2024 ECE Student Headshots

Computational Imaging through Atmospheric Turbulence

2024 e-HAIL Symposium – Generative AI in Healthcare

ECE Student and Alumni Homecoming Mixer

Optimal Memory Allocation: The Dos and Don’ts of Request Fragmentation