NSF Industry/University Cooperative Research Center

Winter Industry-University IAB Meeting

November 30, 2023

8:30 am to 12:00 pm (MST) (AZ Local Time) Hybrid
Biodesign 727 E. Tyler Street, Tempe, AZ 85281

Biodesign Building

REGISTER  here 

Zoom Link to join the Meeting:  https://asu.zoom.us/j/83496564187
Password: sensip2023

 

Agenda

1. Continental breakfast and registration 8:30 am  
2. Opening Remarks : A. Spanias, Director ASU 08:45 am Click Here
3. Status of the Center : A. Spanias and M. Stanley 08:50 am   

                    

Progress Reports – Part 1

1. Neural Rendering for Synthetic Aperture Sonar (Raytheon), November 2023 update, S. Jayasuriya 09:00 am Click Here
2. Deep Learning Based Massive MIMO Channel Acquistion: Recent Results (Samsung), November 2023 update, A. Alkhateeb 09:07 am Click Here
3. FPGA-based Subsampling Algorithms for Space-based Computational Imaging (Alphacore), November 2023 update, O. Iqbal 9:14 am Click Here

Plenary Session Seminars

9:20am – ASU Quantum Network Labs – Joe Lukens (20 min)  –   Click Here

Quantum networks are critical for the expansion of quantum information technologies in areas as varied as distributed computing, entanglement-based sensing, and secure communications. In this talk, I will provide a brief introduction to quantum networking and describe the emerging testbed at ASU, which leverages advanced tools in flex-grid light wave communications for quantum networks that are both practical and scalable.

 

9:40 am Quantum Image Fusion Methods for Remote Sensing– Leslie Miller (20 min) 

We present a quantum image fusion technique used for classifying objects obtained from C-band SAR and optical images. More specifically, we design a four-qubit quantum circuit to process the SAR image dataset. We also employ the visual geometry group 16 (VGG16) convolutional neural network for classification. Quantum fusion along with VGG16 classification provided improvements in accuracy and computational complexity.

Click Here

Proposals

1. Machine Learning for PV Fault Detection, C. Tepedelenlioglu and A. Spanias 10:00 am Click Here
2. Video analysis and restoration for long-range imaging through turbulence, S. Jayasuriya, R. Saha 10:10 am Click Here

Break 10:20am – 10:35am

Progress Reports – Part 2

  1. Lensless and Pinhole Event Sensing and Detection (Qualcomm), November 2023 update, J. Rego    10:35 am Click Here
 2. Machine Learning for MEMS Sensor Validation (NXP), November 2023 update, M. Malu, A. Spanias    10:42 am Click Here

                                     3.

 Quantum Linear Prediction, November 2023 update,  A. Sharma, A. Spanias    10:49 am Click Here

4.

 Dynamical Amplification of cross-Kerr phase shift for faster implementation of controlled phase gates November 2023 update, C. Arenz,  A. Tiwari    10:56 am Click Here

5.

 Analysis of a modified SEIRS compartmental model for COVID-19, L. Anjapuli    11:03 am Click Here

 Elevator Pitch Presentations (11:05 am onwards)

 

Real-time 3D Reconstruction Fusing Geospatial Satellite Imagery and Ground-Level Sensors, D. Ramirez Click Here
Covid-19 Hotspot Estimation using Consensus Methods, SEIR models and ML Algorithms, B. Patel Click Here
Design of a New Photovoltaic Intelligent Monitoring and Control Device, D. Pujara Click Here
Quantum-Enhanced Histopathologic Cancer Detection, N. Goyal Click Here
Emotion Detection using Quantum Machine Learning, S. D’Silva Click Here
Quantum Linear Prediction for System Identification and Spectral Estimation Applications, T. Patel Click Here
Quantum Positive Unlabeled Learning Algorithms and Applications, S. Naik Click Here
Quantum Machine Learning for Spectrogram Image Classification, M. Gunatilaka Click Here

 

 

11:30 am Posters

12:00 pm Lunch

 

Posters

Title of Project Authors
Quantum Image Fusion Methods for Remote Sensing L. Miller
Quantum Linear Prediction for System Identification and Spectral Estimation Applications

T. Patel
Design of a New Photovoltaic Intelligent Monitoring and Control Device D. Pujara
Quantum Positive Unlabeled Learning Algorithms and Applications S. Naik
Quantum Machine Learning and Signal Processing Projects in SenSIP G. Uehara
COVID-19 Hotspot Estimation using Consensus Methods, SEIR models and ML Algorithms B. Patel

Our Industry Membership History – Currently 10 memberships