Pegah Ahadian and Qiang Guan, “OAAgent: Multimodal LLM Agent for Precision Osteoarthritis Care”, SC25, Doctoral Showcase, St. Louis, USA.
Pegah Ahadian, Wei Xu, Qiang Guan, “Ethics of Trustworthy AI in Healthcare: Challenges, Principles, and Practical Pathways”, Neurocomputing Journal, 2025 (IF = 6.5).
Pegah Ahadian, Mingrui Yang, Wei Xu, Xiaojuan Li, Qiang Guan, “OAAgent: Multimodal LLM Agent for Predicting Knee Osteoarthritis Progression”, IEEE/ACM CHASE2025, NYC, USA.
Pegah Ahadian, Angela Fragano, Tianyuan Guan, Qiang Guan, Sophia Shalhout, “Development and Validation of Machine Learning-Based Prediction of Depression Progression Using EHR Data: A Multi-Institutional Retrospective Cohort Study ”, Scientific Report, 2025
Pegah Ahadian, Xiaojuan Li, Mingrui Yang, Qiang Guan, “C-TRAG: Temporal Retrieval Augmented Generation with Hierarchical Clinical Reasoning for Electronic Health Records”, Neurocomputing .(Under Review)
Pegah Ahadian, Qiang Guan, Sophia Shalhout, "Utilizing AI/ML to Predict the Progression of Depression Using EHR Data", AIM-AHEAD Annual Meeting, 2025, Dallas, USA.(Poster)
Pegah Ahadian, Qiang Guan, Sophia Shalhout, “Development and Validation of Machine Learning-Based Prediction of Depression Progression Using EHR Data: A Multi-Institutional Retrospective Cohort Study ”, medrxiv, 2025
Pegah Ahadian, Qiang Guan, “A Survey On Hallucination In Large Language And Foundation Models”, Preprint, 2025.
Pegah Ahadian, Wei Xu, Sherry Wang, Qiang Guan, “Adopting Trustworthy AI for Sleep Disorder Prediction: Deep Time Series Analysis with Temporal Attention Mechanism and Counterfactual Explanations”, IEEE Big Data, DC, USA.
Pegah Ahadian, Qiang Guan, “AI Trustworthy Challenges in Drug Discovery”, International Joint Conference on Artificial Intelligence, IJCAI2024, Jeju, Korea.
Pegah Ahadian, Yunhe Feng, Karl Kosko, Richard Ferdig, Qiang Guan, “MNIST-Fraction: Enhancing Math Education with AI-Driven Fraction Detection and Analysis”, ACMSE2024, Atlanta, USA.
Pegah Ahadian, Karl Kosko, Richard Ferdig, Qiang Guan, “FractionNet: AI-Driven Insights in Transforming Handwritten Fraction Detection for Teacher Education”, SITE2024, Las Vegas, USA.
Yuxin Yang, Zixu Wang, Pegah Ahadian, Abby Jerger, Jeremy Zucker, Song Feng, Feixiong Cheng, Qiang Guan, “A Deep Multimodal Representation Learning Framework for Accurate Molecular Properties Prediction”,GLSVLSI ’24: Proceedings of the Great Lakes Symposium on VLSI 2024.
Ali Mehrban, Pegah Ahadian, “An Adaptive Network-Based Approach for Advanced Forecasting of Cryptocurrency Values”, International Journal of Computer Science and Information Technology (IJCSIT), 2024.
Ali Mehrban, Pegah Ahadian, “Malware Detection in IoT Systems using Machine Learning Techniques”, International Journal of Wireless & Mobile Networks (IJWMN), 2024.
Chris Lernat*, Pegah Ahadian*, Yuxin Yang, Simon Su, Karl Kosko, Ashton Corsello, Qiang Guan, “Gaze Analysis System for Immersive 360 Video for Preservice Teacher Education”, ACM multimedia 2023, Ottawa, Ca.
A. Mehrban, P. Ahadian, “Evaluating BERT and ParsBERT for Analyzing Persian Advertisement Data”, International Journal on Natural Language Computing, 2023.
P. Ahadian, K. Parand, “Support vector regression for the temperature-stimulated drug release”, Chaos, Solitons & Fractals, Volume 165, Part 2, 2022.
Sina Tabakhi, Mohammod Naimul Islam Suvon, Pegah Ahadian, Haiping Lu. “Multimodal Learning for Multi-Omics: A Survey,” World Scientific Annual Review of Artificial Intelligence (WSARAI), 2022.
Pegah Ahadian, Maryam Bababei, Koroush Parand, “Using singular value decomposition in a convolutional neural network to improve brain tumor segmentation accuracy”, 6th International Conference on Computer Science and Information Technology, Sydney, Australia (COMIT), 2022..
Pegah Ahadian, Koroush Parand, “Covid-19 Vaccination Analysis based on Unsupervised Machine Learning Algorithm”, International Conference on Physics, Mathematics, and Development of Basic Science, 2022.
Pegah Ahadian, Koroush Parand, “Machine learning-based clustering analysis for the effects of cardiac arrest on the brain intracellular pH levels,” Shahid Beheshti Human Brain Mapping Congress, 2022.