Syed Hasib Akhter Faruqui
Assistant ProfessorSam Houston State University
Updated CV : CV
https://orcid.org/0000-0002-5073-8690Affiliations
Summarizing Complex Graphical Models of Multiple Chronic Conditions Using the Second Eigenvalue of Graph Laplacian: Algorithm Development and Validation, Syed Hasib Akhter Faruqui, Adel Alaeddini, Mike C. Chang, Sara Shirinkam, Carlos A. Jaramillo, Peyman Najafirad, Jing Wang, Mary Jo Pugh, JMIR medical informatics 8, no. 6 (2020): e16372.(Code)
Trac-Geneity: Tracking Homogeneity in Gaze Search Patterns using One-shot Contrastive Learning in Scanning Chest X-rays, Syed Hasib Akhter Faruqui, Stanford Martinez, Carolina Ramirez-Tamayo, Kal L. Clark, Adel Alaeddini
An Expert-in-the-Loop Control Methodology Utilizing Transfer-Learned Predictive Twin to Assist Patients with Type 2 Diabetes Mellitus (T2DM) in a Live Clinical Trial: A Proof of Concept, Syed Hasib Akhter Faruqui, Shiyu Li, Yan Du, Adel Alaeddini, Jing Wang
Separating Artery Layers in Low-Latency Cardiac MRIs for Generating Data to Train Deep Segmentation Networks, Syed Hasib Akhter Faruqui, Donald R. Cantrell, Sameer A Ansari, Leon Cho
A Deep Reinforcement Learning Framework for Self Monitoring and Management of Type 2 Diabetes Using Mobile Health Technology., Syed Hasib Akhter Faruqui, Adel Alaeddini, Jing Wang.
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. arXiv preprint arXiv:2308.00214 (2023). (arxiv link)
Discrimination of Radiologists Utilizing Eye-Tracking Technology and Machine Learning: A Case Study, Stanford Martinez, Carolina Ramirez-Tamayo, Syed Hasib Akhter Faruqui, Kal L. Clark, Adel Alaeddini, Nicholas Czarnek, Aarushi Aggarwal, Sahra Emamzadeh, Jeffrey R. Mock, Edward J. Golob (Submitted for review in JQT (Applications)). (arxiv link)
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, Kal L. Clark, Adel Alaeddini, Nicholas Czarnek, Aarushi Aggarwal, Sahra Emamzadeh, Jeffrey R. Mock, Edward J. Golob (Submitted for review in Radiology: Artificial Intelligence). (arxiv link)
A Laplacian Regularized Graph Neural Network for Predictive Modeling of Multiple Chronic Conditions, Julian Carvajal, Syed Hasib Akhter Faruqui, Adel Alaeddini, Jing Wang, Susan P. Fisher-Hoch, Joseph B. McCormick.
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, and Julian Carvajal Rico. (arxiv link)
Early vs Delayed Change in Aneurysm Wall Enhancement and intracranial Structures on High Resolution MR Vessel Wall Imaging, Abhinav Patel, Ramez N Abdalla, Chaochao Zhou, Syed Hasib Akhter Faruqui, J Moore, Matthew B Potts, Babak S Jahromi, V Rayz, M Markl, T Carroll, Donald R Cantrell, Sameer A Ansari, ASNR Annual Conference (2023).
Correlation of Quantified Aneurysm Wall Enhancement MR-VWI with ELAPSS Score for Evaluation of Unruptured intracranial Aneurysms, Abhinav Patel, Syed Hasib Akhter Faruqui, Ramez N Abdalla, A Malik, Chaochao Zhou, J Moore, Babak S Jahromi, Matthew B Potts, A Shaibani, V Rayz, M Markl, T Carroll, Donald R Cantrell, Sameer A Ansari, ASNR Annual Conference (2023).
Identifying Predictors of Intracraniel Aneurysm Wall Enhancement and Associated Rupture Risk using Bayesian Network Analysis,Syed Hasib Akhter Faruqui, Abhinav Patel, Chaochao Zhou, Ramez N Abdalla, Matthew B Potts, Babak S Jahromi, V Rayz, M Markl, T Carroll, A Shaibani, Sameer A Ansari, Donald R Cantrell, ASNR Annual Conference (2023).
Transparent Arterial Layer Separation in Cardiac Angiography with Self-Supervised Deep Learning, Syed Hasib Akhter Faruqui Chaochao Zhou, Abhinav Patel, Ramez N Abdalla, Matthew B Potts, A Shaibani, Sameer A Ansari, Donald R Cantrell, IISE Annual Conference (2023).
TracGeneity: Tracking Homogeneity in Gaze Search Patterns using Contrastive Learning in Scanning Chest X-rays, Syed Hasib Akhter Faruqui, Stanford Martinez, Carolina Ramirez-Tamayo, Kal L. Clark, Adel Alaeddini, IISE Annual Conference (2023).
A Generative Model for Improving Graph Structure and Representation from Electronic Health Records, Julian Carvajal Rico, Syed Hasib Akhter Faruqui, Adel Alaeddini, IISE Annual Conference (2023).
A Feedback-Driven Educational Framework to Characterize and Improve Radiologists Search Patterns of Chest X-rays, Carolina Ramirez-Tamayo, Syed Hasib Akhter Faruqui, Stanford Martinez, Kal L. Clark, Adel Alaeddini, Nicholas Czarnek, Aarushi Aggarwal, Sahra Emamzadeh, Jeffrey R. Mock, Edward J. Golob, IISE Annual Conference (2023).
Utilizing Digital Twins to Develop Semi-supervised online Control Model for Self-monitoring and Management of Patients with Type 2 Diabetes Mellitus, Syed Hasib Akhter Faruqui, Shiyu Li, Yan Du, Brittany Dennis, Chengdong Li, Jing Wang, Adel Alaeddini, INFORMS Annual Meeting, Indianapolis, Indiana (2022).
Identifying the Experience Level of Radiologists Utilizing Eye-Tracking Technology and Machine Learning, Stanford Martinez, Carolina Ramirez-Tamayo, Syed Hasib Akhter Faruqui, Kal L. Clark, Adel Alaeddini, Nicholas Czarnek, Aarushi Aggarwal, Sahra Emamzadeh, Jeffrey R. Mock, Edward J. Golob, IISE Annual Conference 2022.
A Dynamic Model predictive control for self-monitoring and management for patients with Multiple Chronic Conditions based on Patient Lifestyle Behavioral Change, Syed Hasib Akhter Faruqui, Adel Alaeddini, and Jing Wang, INFORMS Annual Meeting, Anaheim , California (2021) (Invited Session, to be presented on October 24th, 2021).
3D Object Detection for Streamlining Production Processes in a Cloud Manufacturing Infrastructure, Syed Hasib Akhter Faruqui, Hamed Bouzary, Soriful Alam, Adel Alaeddini, and F. Frank Chen, IISE Annual Conference (Virtual) 2021.
Utilizing Digital Twins to Develop Unsupervised Control Model For Self-monitoring And Management Of Type 2 Diabetes Mellitus, Syed Hasib Akhter Faruqui, Adel Alaeddini, and Jing Wang, INFORMS Annual (Virtual) 2020.
An Extended Kalman Filter For Dynamic Prediction and Detection of Risk Of Multiple Chronic Conditions Based On Patient Lifestyle Behavioral Changes, Syed Hasib Akhter Faruqui, Adel Alaeddini, and Jing Wang, INFORMS Annual (Virtual) 2020.
A Reinforcement Learning Framework for Behavioral Management of Type-2-Diabetes-Mellitus Patients, Syed Hasib Akhter Faruqui, Rajitha Meka, Adel Alaeddini, and Jing Wang, IISE Annual Conference (Virtual) 2020.
An Active Learning Framework for Learning and Summarizing Healthcare Networks, Syed Hasib Akhter Faruqui, Adel Alaeddini, Carlos A. Jaramillo, Mary Jo Pugh., IISE Annual Conference, Orlando, Fl (2019).
Dynamic Forecasting and Control of Diabetes Using Mobile-Based Health-Lifestyle Data, Syed Hasib Akhter Faruqui, Rajitha Meka, Adel Alaeddini, Jing Wang., IISE Annual Conference, Orlando, Fl (2019).
A Continuous Time Bayesian Network Model for Identifying Patterns of Multiple Chronic Conditions, Syed Hasib Akhter Faruqui, Adel Alaeddini, Carlos A. Jaramillo, Mary Jo Pugh, INFORMS Annual Meeting, Phoenix, Az (2018).
A Continuous Time Bayesian Network for Learning the Evolution of Multiple Chronic Conditions, Syed Hasib Akhter Faruqui, Adel Alaeddini, Carlos A. Jaramillo, Mary Jo Pugh,The Fourth Annual San Antonio Military Health System and Universities Research Forum (SURF), San Antonio, Tx (2018) .
Learning the Evolution of Multiple Chronic Conditions using Bayesian Networks, Syed Hasib Akhter Faruqui, Adel Alaeddini, Carlos A. Jaramillo, Mary Jo Pugh, IISE Annual Conference, Orlando, Fl (2018).
Eigen Analysis of Graph Laplacian for Summarizing Bayesian Networks, Syed Hasib Akhter Faruqui, Adel Alaeddini, Carlos A. Jaramillo, Mary Jo Pugh, Sara Shirinkam, IISE Conference, Orlando, Fl (2018).
Analyzing Patterns of Multiple Chronic Conditions and their Associated Behavior in Temporal Direction using Multi-level Temporal Bayesian Network, Syed Hasib Akhter Faruqui, Adel Alaeddini, Carlos A. Jaramillo, ,Mary Jo Pugh, INFORMS Annual Meeting, Houston, Tx (2017).
Temporal Abstraction of Multiple Chronic Conditions Using Hierarchical Multi-Level Temporal Bayesian Network, Syed Hasib Akhter Faruqui, Adel Alaeddini, Carlos A. Jaramillo, Mary Jo Pugh, IISE Conference, Pittsburgh, PA (2017).
Prediction of Stroke Thrombectomy Outcomes from The Neurovascular Quality Initiative-quality Outcomes Database (NVQI-QOD) Registry Using Probabilistic Learning Models, Chaochao Zhou, Syed Hasib Akhter Faruqui, Abhinav Patel, Ramez N Abdalla, Ali Shaibani, Matthew B Potts, Babak S Jahromi, Sameer A Ansari, Donald R Cantrell, International Stroke Conference 2023, Stroke 54, no. Suppl_1 (2023): AWP94-AWP94.
Identifying the Experience Level of Radiologists Utilizing Eye-Tracking Technology and Machine Learning, Stanford Martinez, Carolina Ramirez-Tamayo, Syed Hasib Akhter Faruqui, Kal L. Clark, Adel Alaeddini, Nicholas Czarnek, Aarushi Aggarwal, Sahra Emamzadeh, Jeffrey R. Mock, Edward J. Golob, CAMLS session 2021, UTSA.
Nonlinear State Space Modeling and Control of the Impact of Patient's Modifiable Lifestyle Behaviours on the Emergence of Multiple Chronic Conditions, Syed Hasib Akhter Faruqui, Adel Alaeddini, Jing Wang, Susan P. Fisher-Hoch, and Joseph B. Mccormick, IISE Annual Conference (Virtual) 2021. (Runner-Up, IISE QCRE & DAIS Track Best Student Poster Award).
A Zone Based Indoor RFID System for Real-Time Personnel Location Tracking, Chi Wen Chang, Stanford Martinez, Syed Hasib Akhter Faruqui, and Adel Alaeddini, IISE Annual Conference (Virtual) 2020.
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, Carlos Jaramillo, & Mary Jo Pugh, INFORMS Annual Conference, Seattle, WA (2019).
Learning and Summarizing Graphical Models using Eigen Analysis of Graph Laplacian: An Application in Analysis of Multiple Chronic Conditions, Syed Hasib Akhter Faruqui, Adel Alaeddini, Chi-Wen Chang, Sara Shirinkam & Carlos Jaramillo., IISE Annual Conference, Orlando, Fl (2019).
Learning and Summarization of Complex and Large Datasets with Graphical Models: An Application in Healthcare Data Analytics (Ph.D. Thesis).
A Temporal Bayesian Network for Modeling the Temporal Relation among Multiple Chronic Conditions (Master's Thesis).
Numerical Investigation of Aerodynamic Characteristics for Flow Over a Car (Undergraduate Thesis).