| 2026 | FlAIRS | Scalable Clinical Informatics Frameworks for AI-Enabled Assistive Systems in Mental Health Care. | Heather Cooper, Nelly Elsayed, Maria Kyrarini |
| 2025 | FlAIRS | DoS and DDoS Attack Detection in IoT Infrastructure using Xception Model with Explainability. | Nelly Elsayed, Zag ElSayed, Ahmed Abdelgawad |
| 2025 | FlAIRS | CryptoDNA: A Machine Learning Paradigm for DDoS Detection in Healthcare IoT, Inspired by Cryptojacking prevention Models. | Zag ElSayed, Nelly Elsayed, Ahmed Abdelgawad |
| 2024 | FlAIRS | TemporalAugmenter: An Ensemble Recurrent Based Deep Learning Approach for Signal Classification. | Nelly Elsayed, Constantinos L. Zekios, Navid Asadizanjani, Zag ElSayed |
| 2024 | FlAIRS | Adapted Contrastive Predictive Coding Framework for Accessible Smart Home Control System Based on Hand Gestures Recognition. | Nelly Elsayed, Constantinos L. Zekios, Navid Asadizanjani, Zag ElSayed |
| 2023 | FlAIRS | Machine Learning for Early Mental Health Support and Offenders Correction. | Nelly Elsayed, Zag ElSayed, Murat Ozer |
| 2023 | ICTAI | AI on the Road: A Comprehensive Analysis of Traffic Accidents and Autonomous Accident Detection System in Smart Cities. | Victor Adewopo, Nelly Elsayed, Zag ElSayed, Murat Ozer, Victoria Wangia-Anderson, Ahmed Abdelgawad |
| 2022 | FlAIRS | Vision-Based American Sign Language Classification Approach via Deep Learning. | Nelly Elsayed |
| 2022 | ISCAS | LiteLSTM Architecture for Deep Recurrent Neural Networks. | Nelly Elsayed, Zag ElSayed, Anthony S. Maida |
| 2019 | ICMLA | An Analysis of Univariate and Multivariate Electrocardiography Signal Classification. | Nelly Elsayed, Anthony S. Maida, Magdy A. Bayoumi |
| 2019 | IJCNN | Reduced-Gate Convolutional LSTM Architecture for Next-Frame Video Prediction Using Predictive Coding. | Nelly Elsayed, Anthony S. Maida, Magdy A. Bayoumi |
| 2018 | ICTAI | Empirical Activation Function Effects on Unsupervised Convolutional LSTM Learning. | Nelly Elsayed, Anthony S. Maida, Magdy A. Bayoumi |