Reza Rahimi Azghan

According to our database, Reza Rahimi Azghan authored at least 7 papers between 2023 and 2026.

Collaborative distances:

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

2026

Gated Adaptation for Continual Learning in Human Activity Recognition.

Reza Rahimi Azghan, Gautham Krishna Gudur, Mohit Malu, Edison Thomaz, Giulia Pedrielli, Pavan Turaga, Hassan Ghasemzadeh

CoRR, March, 2026

2025

CLAD-Net: Continual Activity Recognition in Multi-Sensor Wearable Systems.

Reza Rahimi Azghan, Gautham Krishna Gudur, Mohit Malu, Edison Thomaz, Giulia Pedrielli, Pavan K. Turaga, Hassan Ghasemzadeh

CoRR, September, 2025

GluMind: Multimodal Parallel Attention and Knowledge Retention for Robust Cross-Population Blood Glucose Forecasting.

Ebrahim Farahmand, Reza Rahimi Azghan, Nooshin Taheri-Chatrudi, Velarie Yaa Ansu-Baidoo, Eric Kim, Gautham Krishna Gudur, Mohit Malu, Owen Krueger, Edison Thomaz, Giulia Pedrielli, Pavan K. Turaga, Hassan Ghasemzadeh

CoRR, September, 2025

AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset.

Ebrahim Farahmand, Reza Rahimi Azghan, Nooshin Taheri-Chatrudi, Eric Kim, Gautham Krishna Gudur, Edison Thomaz, Giulia Pedrielli, Pavan K. Turaga, Hassan Ghasemzadeh

CoRR, February, 2025

CAN-STRESS: A Real-World Multimodal Dataset for Understanding Cannabis Use, Stress, and Physiological Responses.

Reza Rahimi Azghan, Nicholas C. Glodosky, Ramesh Kumar Sah, Carrie Cuttler, Ryan McLaughlin, Michael J. Cleveland, Hassan Ghasemzadeh

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

2024

CUDLE: Learning Under Label Scarcity to Detect Cannabis Use in Uncontrolled Environments.

Reza Rahimi Azghan, Nicholas C. Glodosky, Ramesh Kumar Sah, Carrie Cuttler, Ryan McLaughlin, Michael J. Cleveland, Hassan Ghasemzadeh

CoRR, 2024

2023

Personalized Modeling and Detection of Moments of Cannabis Use in Free-Living Environments.

Reza Rahimi Azghan, Nicholas C. Glodosky, Ramesh Kumar Sah, Carrie Cuttler, Ryan McLaughlin, Michael J. Cleveland, Hassan Ghasemzadeh

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