S. Khamesian, A. Arefeen, M. A. Grando, B. M. Thompson, and H. Ghasemzadeh, “Glycemic-aware and architecture-agnostic training framework for blood glucose forecasting in type 1 diabetes,” BMC Artificial Intelligence, vol. 2, no. 1, Art. no. 13.

A. Arefeen, S. Khamesian, M. A. Grando, B. Thompson, and H. Ghasemzadeh, “GlyTwin: Enhancing digital twin for glucose control in type 1 diabetes using patient-centric counterfactual treatments,” IEEE J. Biomed. Health Inform.

S. Khamesian and H. Malek, “Hybrid self-attention NEAT: A novel evolutionary self-attention approach to improve the NEAT algorithm in high-dimensional inputs,” Evolving Systems, vol. 15, no. 2, pp. 489–503.

S. Khamesian, A. Arefeen, B. M. Thompson, M. A. Grando, and H. Ghasemzadeh, “AZT1D: A real-world dataset for type 1 diabetes,” in Proc. IEEE 21st Int. Conf. Body Sensor Netw. (BSN).

S. Khamesian, A. Arefeen, S. M. Carpenter, and H. Ghasemzadeh, “NutriGen: Personalized meal plan generator leveraging large language models to enhance dietary and nutritional adherence,” in Proc. 47th Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. (EMBC), Copenhagen, Denmark.

A. Arefeen, S. Khamesian, M. A. Grando, B. Thompson, and H. Ghasemzadeh, “GlyMan: Glycemic management using patient-centric counterfactuals,” in Proc. IEEE Int. Conf. Biomed. Health Inform. (BHI).

S. Khamesian, S. H. Balaji, D. Y. Shi, S. M. Carpenter, D. E. Rivera, W. B. Knox, P. Stone, and H. Ghasemzadeh, “GUIDE: Reinforcement learning for behavioral action support in type 1 diabetes,” submitted to IEEE J. Biomed. Health Inform.

S. Khamesian, A. Arefeen, M. A. Grando, B. M. Thompson, C. B. Cook, and H. Ghasemzadeh, “Understanding associations between behavioral factors and glycemic outcomes in patients with type 1 diabetes using automated insulin delivery systems: Longitudinal observational study,” submitted to JMIR Diabetes.

S. Khamesian, A. Arefeen, B. M. Thompson, C. B. Cook, M. A. Grando, and H. Ghasemzadeh, “Structured meal-logging and glycemic outcomes in adults with type 1 diabetes on automated insulin delivery: Longitudinal observational study,” submitted to JMIR Formative Research.

H. Zadeh and S. Khamesian, “System and methods for blood glucose forecasting using custom loss functions,” U.S. Provisional Patent 63/740,772, filed Dec. 31, 2024.

H. Zadeh, A. Arefeen, and S. Khamesian, “System and methods for modeling and simulating glycemic response for behavioral lifestyle interventions,” U.S. Provisional Patent 63/508,235, filed Jun. 14, 2023.