A Functional Model for Structure Learning and Parameter Estimation in Continuous Time Bayesian Network: An Application in Identifying Patterns of Multiple Chronic Conditions. - Syed Hasib Akhter Faruqui; Adel Alaeddini; Jing Wang; Carlos A. Jaramillo (CoRR, 2020)

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. - Syed Hasib Akhter Faruqui; Adel Alaeddini; Jing Wang; Susan P. Fisher-Hoch; Joseph B. Mccormick (IEEE Access, 2021)

A Functional Model for Structure Learning and Parameter Estimation in Continuous Time Bayesian Network: An Application in Identifying Patterns of Multiple Chronic Conditions. - Syed Hasib Akhter Faruqui; Adel Alaeddini; Jing Wang; Carlos A. Jaramillo; Mary Jo Pugh (IEEE Access, 2021)

Nonlinear State Space Modeling and Control of the Impact of Patients' Modifiable Lifestyle Behaviors on the Emergence of Multiple Chronic Conditions. - Syed Hasib Akhter Faruqui; Adel Alaeddini; Jing Wang; Susan P. Fisher-Hoch; Joseph B. McCormic (CoRR, 2021)

Contextual Bandit Guided Data Farming for Deep Neural Networks in Manufacturing Industrial Internet. - Yingyan Zeng; Parshin Shojaee; Syed Hasib Akhter Faruqui; Adel Alaeddini; Ran Jin (ICPS, 2022)

A Model Predictive Control Functional Continuous Time Bayesian Network for Self-Management of Multiple Chronic Conditions. - Syed Hasib Akhter Faruqui; Adel Alaeddini; Jing Wang; Susan P. Fisher-Hoch; Joseph B. Mccormick; Julian Carvajal Rico (CoRR, 2022)

WIP: STEM Course Enhancement - Animated Safety Modules for Freshman Circuit Class. - Iftekhar Ibne Basith; Syed Hasib Akhter Faruqui; Vajih Khan; Suleiman Obeidat; Sumith Yesudasan (FIE, 2023)

Robust Single-view Cone-beam X-ray Pose Estimation with Neural Tuned Tomography (NeTT) and Masked Neural Radiance Fields (mNeRF). - Chaochao Zhou; Syed Hasib Akhter Faruqui; Abhinav Patel; Ramez N. Abdalla; Michael C. Hurley; Ali Shaibani; Matthew B. Potts; Babak S. Jahromi; Leon Cho; Sameer A. Ansari; Donald R. Cantrell (CoRR, 2023)

Discrimination of Radiologists Utilizing Eye-Tracking Technology and Machine Learning: A Case Study. - Stanford Martinez; Carolina Ramirez-Tamayo; Syed Hasib Akhter Faruqui; Kal Clark; Adel Alaeddini; Nicholas Czarnek; Aarushi Aggarwal; Sahra Emamzadeh; Jeffrey R. Mock; Edward J. Golob (CoRR, 2023)

Incorporation of Eye-Tracking and Gaze Feedback to Characterize and Improve Radiologist Search Patterns of Chest X-rays: A Randomized Controlled Clinical Trial. - Carolina Ramirez-Tamayo; Syed Hasib Akhter Faruqui; Stanford Martinez; Angel Brisco; Nicholas Czarnek; Adel Alaeddini; Jeffrey R. Mock; Edward J. Golob; Kal L. Clark (CoRR, 2023)

A Laplacian regularized graph neural network for predictive modeling of multiple chronic conditions. - Julian Carvajal Rico; Adel Alaeddini; Syed Hasib Akhter Faruqui; Susan P. Fisher-Hoch; Joseph B. Mccormick (Comput. Methods Programs Biomed., 2024)

Nurse-in-the-Loop Artificial Intelligence for Precision Management of Type 2 Diabetes in a Clinical Trial Utilizing Transfer-Learned Predictive Digital Twin. - Syed Hasib Akhter Faruqui; Adel Alaeddini; Yan Du; Shiyu Li; Kumar Sharma; Jing Wang (CoRR, 2024)

Integrating A.I. in Higher Education: Protocol for a Pilot Study with 'SAMCares: An Adaptive Learning Hub'. - Syed Hasib Akhter Faruqui; Nazia Tasnim; Iftekhar Ibne Basith; Suleiman Obeidat; Faruk Yildiz (CoRR, 2024)

A Generative Framework for Predictive Modeling of Multiple Chronic Conditions Using Graph Variational Autoencoder and Bandit-Optimized Graph Neural Network. - Julian Carvajal Rico; Adel Alaeddini; Syed Hasib Akhter Faruqui; Susan P. Fisher-Hoch; Joseph B. Mccormick (CoRR, 2024)