AI-guided clinical decision support, medical imaging analytics, and eye-tracking analysis.

Probabilistic modeling, graph learning, and data-driven management of chronic conditions.

Digital twins, reinforcement learning, sensor fusion, and advanced manufacturing analytics.

Engineering education tools, adaptive learning systems, and AI-supported student learning.

Jing Wang, Syed Hasib Akhter Faruqui, Adel Alaeddini, Yan Du, Shiyu Li, Yijiong Yang, and Kumar Sharma. Human-in-the-loop AI predictive digital twin to extend virtual precision diabetes care between visits. npj Health Systems, volume 3, Article 59, 2026. Paper link.

Suleiman Obeidat, Rakib Hasan, Rahagir Ridwan Anik, and Syed Hasib Akhter Faruqui. Developing machine learning algorithm for investigating features affecting relative density and shrinkage of printed parts in binder jetting additive manufacturing of Microjet TP-80 ceramic composite powder. The International Journal of Advanced Manufacturing Technology, 2026. Paper link. Code.

Rahagir Ridwan Anik, Syed Hasib Akhter Faruqui, and Suleiman Mahmoud Obeidat. Investigation of the electrolytes' ionic and electrical conductivity of the solid-state batteries using binder jetting additive manufacturing technology: a systematic literature review. The International Journal of Advanced Manufacturing Technology, 2026.

Chaochao Zhou, Dayeong An, Syed Hasib Akhter Faruqui, et al. Probabilistic Ensemble Learning for Prediction of Stroke Thrombectomy Outcomes from the NVQI-QOD Registry. Journal of Stroke and Cerebrovascular Diseases, 2025.

Julian Carvajal Rico, Adel Alaeddini, Syed Hasib Akhter Faruqui, Susan P. Fisher-Hoch, and Joseph B. Mccormick. A Generative Framework for Predictive Modeling of Multiple Chronic Conditions Using Graph Variational Autoencoder and Bandit-Optimized Graph Neural Network. IEEE Journal of Biomedical and Health Informatics, 2025.

Stanford Martinez, Carolina Ramirez-Tamayo, Syed Hasib Akhter Faruqui, et al. Discrimination of Radiologists' Experience Level Using Eye-Tracking Technology and Machine Learning: Case Study. JMIR Formative Research, 2025. DOI: 10.2196/53928.

Chaochao Zhou, Syed Hasib Akhter Faruqui, Dayeong An, et al. Single-View Fluoroscopic X-Ray Pose Estimation: A Comparison of Alternative Loss Functions and Volumetric Scene Representations. Journal of Imaging Informatics in Medicine, 2024.

Chaochao Zhou, Ramez N. Abdalla, Dayeong An, Syed Hasib Akhter Faruqui, et al. Reducing Motion Artifacts in Craniocervical Background Subtraction Angiography with Deformable Registration and Unsupervised Deep Learning. Radiology Advances, 2024.

Syed Hasib Akhter Faruqui, Nazia Tasnim, Iftekhar Ibne Basith, Suleiman Obeidat, and Faruk Yildiz. Integrating AI in Higher Education: Protocol for a Pilot Study with SAMCares: An Adaptive Learning Hub. ASEE Annual 2024. Code.

Carolina Ramirez-Tamayo, Syed Hasib Akhter Faruqui, Stanford Martinez, et al. Incorporation of Eye-Tracking and Gaze Feedback to Characterize and Improve Radiologist Search Patterns of Chest X-rays. Journal of the American College of Radiology, 2024.

Julian Carvajal Rico, Adel Alaeddini, Syed Hasib Akhter Faruqui, Susan P. Fisher-Hoch, and Joseph B. Mccormick. A Laplacian Regularized Graph Neural Network for Predictive Modeling of Multiple Chronic Conditions. Computer Methods and Programs in Biomedicine, 2024.

A Model Predictive Control for Self-Monitoring and Management for Patients with Multiple Chronic Conditions Based on Patient Lifestyle Behavioral Change.

Separating Artery Layers in Low-Latency Cardiac MRIs for Generating Data to Train Deep Segmentation Networks.

Trac-Geneity: Tracking Homogeneity in Gaze Search Patterns using One-shot Contrastive Learning in Scanning Chest X-rays.

Uncertainty-Aware Digital Twin Manufacturing: A Reinforcement Learning Approach to Robust Production Scheduling.

Empowering Farmers with AI: A Fine-Tuned LLM for Insect-Related Crop Protection Queries.

Exploring the Red Teaming Efforts in Large Language Models: A Systematic Review.

A Comparative Study of U-Net Variants for Radiology Image Quality Enhancement: Deblurring, Denoising, and Super-Resolution Applications.

Investigation of the Surface Roughness of Micromilled 316L Stainless Steel Fabricated by FDM/FFF Technology, The 36th Annual International Solid Freeform Fabrication Symposium, Austin, TX, 2025.

Uncertainty-Aware Digital Twin Manufacturing: A Q-Learning Approach to Robust Production Scheduling, INFORMS Annual Meeting, 2025.

Design of a Micro Class Airplane for SAE 2024 Competition: Fostering Engineering Self-Efficacy and Collaboration in Capstone Education, ASEE Annual Conference & Exposition, 2025.

Fracture Toughness of 3D Printed Metal Wire Composites, ASME Aerospace Structures, Structural Dynamics, and Materials Conference, 2025.

BYOE: SeaKatz 2.0 - Vision and Pneumatic Claw for Underwater Robot with VR Simulation, ASEE Annual Conference and Exposition, 2024.

Optimizing Graph Representations with Generative Models for Predicting Multiple Chronic Conditions, INFORMS Annual Meeting, 2024.

Probabilistic Ensemble Learning for Prediction of Stroke Thrombectomy Outcomes from the NVQI-QOD Registry, INFORMS Annual Meeting, 2023.

Oscar Jermon, Afolarin Faluyi, Freddy Martinez, Suleiman Obeidat, Syed Hasib Akhter Faruqui, and Iftekhar Ibne Basith. Smart Kitchen Drawer: Motion-Controlled System for Hands-Free Operation an Industry-Academic Collaboration, ATMAE 2025, Memphis, TN, October 2025.

An, D., C. Zhou, S. Faruqui, R. Abdalla, A. Shaibani, S. Ansari, and D. Cantrell. E-255 Prediction of acute ischemic stroke outcomes using probabilistic modeling from the neurovascular quality initiative-quality outcomes database (NVQI-QOD) registry, 2025.

Ethan Wingfield, Hayden Behrens, Helen Gomez, Iftekhar Ibne Basith, and Syed Hasib Akhter Faruqui. Gait Analysis using Multivariate Extended Kalman Filter to Improve Patient Care, National Conference on Undergraduate Research, Pittsburgh, PA, April 2025.

Hayden Behrens, Iftekhar Ibne Basith, and Syed Hasib Akhter Faruqui. Camera-Based Gait Analysis using a Machine Learning Approach to Improve Patient Care, SHSU Undergraduate Research Symposium, April 2025.

Euijin Yang, Iftekhar Ibne Basith, Syed Hasib Akhter Faruqui, and Minjae Suh. Developing Future Constructors: STEM Summer Camps in Construction and Safety, ATMAE Annual Conference, Las Vegas, NV, 2024. Won Best Poster Award.

Iftekhar Ibne Basith, Suleiman Obeidat, Vajih Khan, Ulan Dakeev, Michelle Boyd, Syed Hasib Akhter Faruqui, and Euijin Yang. Bearkat STEM Summer Camp on Automation & Robotics, ATMAE Annual Conference, Las Vegas, NV, 2024.

Syed Hasib Akhter Faruqui, Nazia Tasnim, Iftekhar Ibne Basith, Suleiman Obeidat, and Faruk Yildiz. Integrating AI in Higher Education: Protocol for a Pilot Study with SAMCares: An Adaptive Learning Hub, ASEE Annual 2024. Code.

Chaochao Zhou, Syed Hasib Akhter Faruqui, Abhinav Patel, Ramez N Abdalla, Ali Shaibani, Matthew B Potts, Babak S Jahromi, Sameer A Ansari, and Donald R Cantrell. Prediction of Stroke Thrombectomy Outcomes from the NVQI-QOD Registry Using Probabilistic Learning Models, International Stroke Conference 2023.

Stanford Martinez, Carolina Ramirez-Tamayo, Syed Hasib Akhter Faruqui, Kal L. Clark, Adel Alaeddini, Nicholas Czarnek, Aarushi Aggarwal, Sahra Emamzadeh, Jeffrey R. Mock, and Edward J. Golob. Identifying the Experience Level of Radiologists Utilizing Eye-Tracking Technology and Machine Learning, CAMLS session 2021, UTSA.

Syed Hasib Akhter Faruqui, Adel Alaeddini, Jing Wang, Susan P. Fisher-Hoch, and Joseph B. Mccormick. Nonlinear State Space Modeling and Control of the Impact of Patient's Modifiable Lifestyle Behaviors on the Emergence of Multiple Chronic Conditions, IISE Annual Conference 2021. Runner-Up, IISE QCRE & DAIS Track Best Student Poster Award.

Chi Wen Chang, Stanford Martinez, Syed Hasib Akhter Faruqui, and Adel Alaeddini. A Zone Based Indoor RFID System for Real-Time Personnel Location Tracking, IISE Annual Conference 2020.

Syed Hasib Akhter Faruqui, Adel Alaeddini, Carlos Jaramillo, and Mary Jo Pugh. A Functional Model for Structure Learning and Parameter Estimation in Continuous Time Bayesian Network: An Application in Identifying Patterns of Multiple Chronic Conditions, INFORMS Annual Conference, Seattle, WA, 2019.

Syed Hasib Akhter Faruqui, Adel Alaeddini, Chi-Wen Chang, Sara Shirinkam, and Carlos Jaramillo. Learning and Summarizing Graphical Models using Eigen Analysis of Graph Laplacian: An Application in Analysis of Multiple Chronic Conditions, IISE Annual Conference, Orlando, FL, 2019.

Adel Alaeddini, Syed Hasib Akhter Faruqui, and Jing Wang. Using Machine Learning Methods for Dynamic Forecasting and Control of Type 2 Diabetes Using Mobile-Based Health Lifestyle Data.

Learning and Summarization of Complex and Large Datasets with Graphical Models: An Application in Healthcare Data Analytics.

A Temporal Bayesian Network for Modeling the Temporal Relation Among Multiple Chronic Conditions.

Numerical Investigation of Aerodynamic Characteristics for Flow Over a Car.