| 2025 | ICONIP | Optimizing and Benchmarking a Multi-task Transformer Model for Netlist Generation of Electrical Passive Components. | Richard Blakey, Abdulrahman Altahhan |
| 2025 | IJCNN | Achieving 3D Attention via Triplet Squeeze and Excitation Block. | Maan Alhazmi, Abdulrahman Altahhan |
| 2025 | IJCNN | Self-Refining Language Models to Assess Insurance Claims. | Rayno Willem Mostert, Abdulrahman Altahhan |
| 2025 | Networking | Flash Flood Forecasting and the Role of Catchment Response Time: Predictions via Rainfall-Runoff and Deep Learning Models. | Thitipoom Chailert, Mark A. Trigg, Abdulrahman Altahhan, Evangelos Pournaras |
| 2025 | SGAI | Enhancing Voice-Controlled Drone Navigation: A Hybrid Approach Using ASR and NLP for UAV Command Interpretation. | Yassir Alkasim, Abdulrahman Altahhan |
| 2023 | IJCNN | Best Fit Activation Functions for Attention Mechanism: Comparison and Enhancement. | Maan Alhazmi, Abdulrahman Altahhan |
| 2022 | ICONIP | Emotion Recognition with Facial Attention and Objective Activation Functions. | Andrzej Miskow, Abdulrahman Altahhan |
| 2020 | IJCNN | True Online TD(λ)-Replay An Efficient Model-free Planning with Full Replay. | Abdulrahman Altahhan |
| 2018 | IJCNN | TD(0)-Replay: An Efficient Model-Free Planning with full Replay. | Abdulrahman Altahhan |
| 2017 | IJCNN | Stacked deep convolutional auto-encoders for emotion recognition from facial expressions. | Ariel Ruiz-Garcia, Mark Elshaw, Abdulrahman Altahhan, Vasile Palade |
| 2016 | EANN | Emotion Recognition Using Facial Expression Images for a Robotic Companion. | Ariel Ruiz-Garcia, Mark Elshaw, Abdulrahman Altahhan, Vasile Palade |
| 2016 | ICANN | Deep Learning for Emotion Recognition in Faces. | Ariel Ruiz-Garcia, Mark Elshaw, Abdulrahman Altahhan, Vasile Palade |
| 2016 | IJCNN | Self-reflective deep reinforcement learning. | Abdulrahman Altahhan |
| 2016 | IJCNN | Manifold locality constrained low-rank representation and its applications. | Cong-Zhe You, Xiaojun Wu, Vasile Palade, Abdulrahman Altahhan |
| 2015 | ICONIP | Deep Feature-Action Processing with Mixture of Updates. | Abdulrahman Altahhan |
| 2014 | IJCNN | A fast learning variable lambda TD model: Used to realize home aware robot navigation. | Abdulrahman Altahhan |
| 2010 | IJCNN | Robot visual homing using conjugate gradient Temporal Difference learning, radial basis features and a whole image measure. | Abdulrahman Altahhan |
| 2008 | IJCNN | Visual robot homing using Sarsa(lambda), whole image measure, and radial basis function. | Abdulrahman Altahhan, Kevin Burn, Stefan Wermter |