Syed Hasib Akhter Faruqui

Orcid: 0000-0002-5073-8690

According to our database1, Syed Hasib Akhter Faruqui authored at least 14 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A Generative Framework for Predictive Modeling of Multiple Chronic Conditions Using Graph Variational Autoencoder and Bandit-Optimized Graph Neural Network.
CoRR, 2024

Integrating A.I. in Higher Education: Protocol for a Pilot Study with 'SAMCares: An Adaptive Learning Hub'.
CoRR, 2024

Nurse-in-the-Loop Artificial Intelligence for Precision Management of Type 2 Diabetes in a Clinical Trial Utilizing Transfer-Learned Predictive Digital Twin.
CoRR, 2024

A Laplacian regularized graph neural network for predictive modeling of multiple chronic conditions.
Comput. Methods Programs Biomed., 2024

2023
Incorporation of Eye-Tracking and Gaze Feedback to Characterize and Improve Radiologist Search Patterns of Chest X-rays: A Randomized Controlled Clinical Trial.
CoRR, 2023

Discrimination of Radiologists Utilizing Eye-Tracking Technology and Machine Learning: A Case Study.
CoRR, 2023

Robust Single-view Cone-beam X-ray Pose Estimation with Neural Tuned Tomography (NeTT) and Masked Neural Radiance Fields (mNeRF).
CoRR, 2023

WIP: STEM Course Enhancement - Animated Safety Modules for Freshman Circuit Class.
Proceedings of the IEEE Frontiers in Education Conference, 2023

2022
A Model Predictive Control Functional Continuous Time Bayesian Network for Self-Management of Multiple Chronic Conditions.
CoRR, 2022

Contextual Bandit Guided Data Farming for Deep Neural Networks in Manufacturing Industrial Internet.
Proceedings of the 5th IEEE International Conference on Industrial Cyber-Physical Systems, 2022

2021
Nonlinear State Space Modeling and Control of the Impact of Patients' Modifiable Lifestyle Behaviors on the Emergence of Multiple Chronic Conditions.
CoRR, 2021

A Functional Model for Structure Learning and Parameter Estimation in Continuous Time Bayesian Network: An Application in Identifying Patterns of Multiple Chronic Conditions.
IEEE Access, 2021

Dynamic Functional Continuous Time Bayesian Networks for Prediction and Monitoring of the Impact of Patients' Modifiable Lifestyle Behaviors on the Emergence of Multiple Chronic Conditions.
IEEE Access, 2021

2020
A Functional Model for Structure Learning and Parameter Estimation in Continuous Time Bayesian Network: An Application in Identifying Patterns of Multiple Chronic Conditions.
CoRR, 2020


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