A new parallel architecture for low power linear feedback shift registers. - Abdullah Mamun; Rajendra S. Katti (ISCAS (2), 2004)

Multimodal Time-Series Activity Forecasting for Adaptive Lifestyle Intervention Design. - Abdullah Mamun; Krista S. Leonard; Matthew P. Buman; Hassan Ghasemzadeh 001 (BSN, 2022)

Designing Deep Neural Networks Robust to Sensor Failure in Mobile Health Environments. - Abdullah Mamun; Seyed-Iman Mirzadeh; Hassan Ghasemzadeh 001 (EMBC, 2022)

Neonatal Risk Modeling and Prediction. - Abdullah Mamun; Chia-Cheng Kuo; David W. Britt; Lawrence D. Devoe; Mark I. Evans; Hassan Ghasemzadeh 001; Judith Klein-Seetharaman (BSN, 2023)

ActSafe: Predicting Violations of Medical Temporal Constraints for Medication Adherence. - Parker Seegmiller; Joseph Gatto; Abdullah Mamun; Hassan Ghasemzadeh 001; Diane J. Cook; John A. Stankovic; Sarah Masud Preum (CoRR, 2023)

Use of What-if Scenarios to Help Explain Artificial Intelligence Models for Neonatal Health. - Abdullah Mamun; Lawrence D. Devoe; Mark I. Evans; David W. Britt; Judith Klein-Seetharaman; Hassan Ghasemzadeh 001 (CoRR, 2024)

Multimodal Physical Activity Forecasting in Free-Living Clinical Settings: Hunting Opportunities for Just-in-Time Interventions. - Abdullah Mamun; Krista S. Leonard; Megan E. Petrov; Matthew P. Buman; Hassan Ghasemzadeh 001 (CoRR, 2024)

Freezing of Gait Detection Using Gramian Angular Fields and Federated Learning from Wearable Sensors. - Shovito Barua Soumma; S. M. Raihanul Alam; Rudmila Rahman; Umme Niraj Mahi; Abdullah Mamun; Sayyed Mostafa Mostafavi; Hassan Ghasemzadeh 001 (CoRR, 2024)

Domain-Informed Label Fusion Surpasses LLMs in Free-Living Activity Classification (Student Abstract). - Shovito Barua Soumma; Abdullah Mamun; Hassan Ghasemzadeh 001 (AAAI, 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 001 (CoRR, 2025)

AIMI: Leveraging Future Knowledge and Personalization in Sparse Event Forecasting for Treatment Adherence. - Abdullah Mamun; Diane J. Cook; Hassan Ghasemzadeh 001 (CoRR, 2025)

Enhancing Metabolic Syndrome Prediction with Hybrid Data Balancing and Counterfactuals. - Sanyam Paresh Shah; Abdullah Mamun; Shovito Barua Soumma; Hassan Ghasemzadeh 001 (CoRR, 2025)