Asiful Arefeen

According to our database, Asiful Arefeen authored at least 19 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Counterfactual Modeling with Fine-Tuned LLMs for Health Intervention Design and Sensor Data Augmentation.

Shovito Barua Soumma, Asiful Arefeen, Stephanie Marita Carpenter, Melanie Hingle, Hassan Ghasemzadeh

CoRR, January, 2026

2025

RealAC: A Domain-Agnostic Framework for Realistic and Actionable Counterfactual Explanations.

Asiful Arefeen, Shovito Barua Soumma, Hassan Ghasemzadeh

CoRR, August, 2025

GlyTwin: Digital Twin for Glucose Control in Type 1 Diabetes Through Optimal Behavioral Modifications Using Patient-Centric Counterfactuals.

Asiful Arefeen, Saman Khamesian, María Adela Grando, Bithika Thompson, Hassan Ghasemzadeh

CoRR, April, 2025

GlucoLens: Explainable Postprandial Blood Glucose Prediction from Diet and Physical Activity.

Abdullah Mamun, Asiful Arefeen, Susan B. Racette, Dorothy D. Sears, Corrie M. Whisner, Matthew P. Buman, Hassan Ghasemzadeh

CoRR, March, 2025

NutriGen: Personalized Meal Plan Generator Leveraging Large Language Models to Enhance Dietary and Nutritional Adherence.

Saman Khamesian, Asiful Arefeen, Stephanie Marita Carpenter, Hassan Ghasemzadeh

CoRR, February, 2025

Type 1 Diabetes Management using GLIMMER: Glucose Level Indicator Model with Modified Error Rate.

Saman Khamesian, Asiful Arefeen, Adela Grando, Bithika Thompson, Hassan Ghasemzadeh

CoRR, February, 2025

SenseCF: LLM-Prompted Counterfactuals for Intervention and Sensor Data Augmentation.

Shovito Barua Soumma, Asiful Arefeen, Stephanie Marita Carpenter, Melanie Hingle, Hassan Ghasemzadeh

Proceedings of the 21st IEEE International Conference on Body Sensor Networks, 2025

Time-Aware Cross-Attention for Multi-Modal Sensor-Based Blood Glucose Forecasting.

Aashritha Machiraju, Ebrahim Farahmand, Shovito Barua Soumma, Asiful Arefeen, Carol Johnston, Hassan Ghasemzadeh

Proceedings of the 21st IEEE International Conference on Body Sensor Networks, 2025

AZT1D: A Real-World Dataset for Type 1 Diabetes.

Saman Khamesian, Asiful Arefeen, Bithika Thompson, María Adela Grando, Hassan Ghasemzadeh

Proceedings of the 21st IEEE International Conference on Body Sensor Networks, 2025

2024

Inter-Beat Interval Estimation with Tiramisu Model: A Novel Approach with Reduced Error.

Asiful Arefeen, Ali Akbari, Seyed-Iman Mirzadeh, Roozbeh Jafari, Behrooz A. Shirazi, Hassan Ghasemzadeh

ACM Trans. Comput. Heal., January, 2024

GlyMan: Glycemic Management using Patient-Centric Counterfactuals.

Asiful Arefeen, Saman Khamesian, María Adela Grando, Bithika Thompson, Hassan Ghasemzadeh

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2024

2023

Model-Agnostic Structural Transfer Learning for Cross-Domain Autonomous Activity Recognition.

Parastoo Alinia, Asiful Arefeen, Zhila Esna Ashari, Seyed-Iman Mirzadeh, Hassan Ghasemzadeh

Sensors, July, 2023

Designing User-Centric Behavioral Interventions to Prevent Dysglycemia with Novel Counterfactual Explanations.

Asiful Arefeen, Hassan Ghasemzadeh

CoRR, 2023

GlucoseAssist: Personalized Blood Glucose Level Predictions and Early Dysglycemia Detection.

Prisha Shroff, Asiful Arefeen, Hassan Ghasemzadeh

Proceedings of the 19th IEEE International Conference on Body Sensor Networks, 2023

GlySim: Modeling and Simulating Glycemic Response for Behavioral Lifestyle Interventions.

Asiful Arefeen, Hassan Ghasemzadeh

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023

2022

Boosting Lying Posture Classification with Transfer Learning.

Parastoo Alinia, Saman Parvaneh, Seyed-Iman Mirzadeh, Asiful Arefeen, Hassan Ghasemzadeh

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Computational Framework for Sequential Diet Recommendation: Integrating Linear Optimization and Clinical Domain Knowledge.

Asiful Arefeen, Niloo Jaribi, Bobak J. Mortazavi, Hassan Ghasemzadeh

Proceedings of the IEEE/ACM Conference on Connected Health: Applications, 2022

On-Device Machine Learning for Diagnosis of Parkinson's Disease from Hand Drawn Artifacts.

Sai Vaibhav Polisetti Venkata, Shubhankar Sabat, Chinmay Anand Deshpande, Asiful Arefeen, Daniel Peterson, Hassan Ghasemzadeh

Proceedings of the IEEE-EMBS International Conference on Wearable and Implantable Body Sensor Networks, 2022

Forewarning Postprandial Hyperglycemia with Interpretations using Machine Learning.

Asiful Arefeen, Samantha Fessler, Carol Johnston, Hassan Ghasemzadeh

Proceedings of the IEEE-EMBS International Conference on Wearable and Implantable Body Sensor Networks, 2022