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).