Poster Session

Poster Session

12:00pm-2:00pm, February 23 in person at Beckman Atrium

Presenter Title
Arjun Gupta Predicting Motion Plans for Articulating Everyday Objects
Brian Doolittle The Quantum Internet and Variational Quantum Optimization
Jongwon Lim Point-of-care diagnostics for multiple respiratory infections
Sangmin Lee Material Characterization using Ultrasound and Physics-Informed Neural
Rajalaxmi Rajagopalan User Feedback-based Perception Function Optimization using Bayesian techniques for Personalization of Earables
Sheng Cheng DiffTune: Auto-Tuning through Auto-Differentiation
Harris Nisar Multirobot Architecture and Control for Tele-rehabilitation of Stroke Patients
Renán A. Rojas-Gómez Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional Networks
Yuan Shen Physical World in the Loop Simulation for Autonomous Driving
Justin Wasserman Last-Mile Embodied Visual Navigation
Shaoxiong Yao Estimating Tactile Models of Heterogeneous Deformable Objects in Real Time
Ibtihal Ferwana Optimal Recovery for Causal Inference
Fuad Samhouri 3Drp: OpenSfM for Deformable Object Perception
Ryan Wong TCAM-SSD: A Framework for Associative Computing in Conventional NAND Flash
Shaowei Liu Building Rearticulable Models for Arbitrary 3D Objects from 4D Point Clouds
Kristina Miller Learning safe run time assurance switching logic for nonlinear systems
Xiyue Zhu Generate realistic map from Lidar point cloud
Yiqiu Sun A Data-Parallel Programming Model for Processing-Using-Memory
Al Smith A New Low-Cost, Highly-Accurate, Bedside-Capable Stereotactic Navigation System for Cranial and Spine Applications
Dennis McCann Design and Simulation of Deep Model Predictive Control
Scott Bout Reinforcement Learning Based Deep Model Reference Adaptive Control
Gargi Balasubramaniam Invariant Feature Subspace Recovery for Multiclass Classification
Evan Widloski Low SNR Multiframe Registration for Cubesats
Pusong Li Learned controllers for assembly under uncertainty with intermediate local occupancy representations
Hameed Abdul Using Only Synthetic Data for Pose Estimation In High-Mix, Low-Volume Manufacturing
Qilong Wu, Lang Yin Global Optimal for Scalarization in Multi-Task Learning for Linear Networks
Eric Silk Mini-batching Offers Improved Generalization Performance for Second Order Optimizers

 
CONTACT US

For more information, please contact the session chair, Akhil Bhimaraju (akhilb3@illinois.edu).