Tamim M. Al-Hasan

According to our database, Tamim M. Al-Hasan authored at least 11 papers between 2022 and 2026.

Collaborative distances:

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

2026

QoS-Aware Approximate Task Mapping on Heterogeneous Multicore Platforms with DVFS and Task Migration.

Hengyan Song, Lei Mo, Tamim M. Al-Hasan, Angeliki Kritikakou, Xiaojun Zhai, Shibo He, Olivier Sentieys

ACM Trans. Embed. Comput. Syst., March, 2026

Energy-Efficient and Reliable Task Mapping and Offloading for Multicore Edge Devices With DVFS.

Lei Mo, Ziyi Zhou, Tamim M. Al-Hasan, Angeliki Kritikakou, Xiaojun Zhai, Olivier Sentieys, Shibo He

IEEE Internet Things J., 2026

2025

Reliable and Energy Optimized Task Mapping for Heterogeneous Multicore NoC Based on Partial Task Duplication and Multipath Routing.

Lei Mo, Jingyi Zhang, Tamim M. Al-Hasan, Minyu Cui, Xiaojun Zhai, Qing Gao, Shibo He

IEEE Internet Things J., 2025

Computationally Efficient FPGA-based Large Language Model Inference for Real-Time Decision-Making in Robotic Systems.

Huaizhi Zhang, Tamim M. Al-Hasan, Xuqi Zhu, Jiacheng Zhu, Weiyong Si, Klaus D. McDonald-Maier, Xiaojun Zhai

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

Late Breaking Results: Approximated LUT-Based Neural Networks for FPGA Accelerated Inference.

Xuqi Zhu, Jiacheng Zhu, Huaizhi Zhang, Tamim M. Al-Hasan, Klaus D. McDonald-Maier, Xiaojun Zhai

Proceedings of the Design, Automation & Test in Europe Conference, 2025

2024

From Traditional Recommender Systems to GPT-Based Chatbots: A Survey of Recent Developments and Future Directions.

Tamim M. Al-Hasan, Aya Nabil Sayed, Faycal Bensaali, Yassine Himeur, Iraklis Varlamis, George Dimitrakopoulos

Big Data Cogn. Comput., April, 2024

A Survey on the use of Federated Learning in Privacy-Preserving Recommender Systems.

Christos Chronis, Iraklis Varlamis, Yassine Himeur, Aya Nabil Sayed, Tamim M. Al-Hasan, Armstrong Nhlabatsi, Faycal Bensaali, George Dimitrakopoulos

IEEE Open J. Comput. Soc., 2024

Navigating the Edge: A Comprehensive Comparison of Machine Learning Algorithms on Prominent Edge Platforms.

Aya Nabil Sayed, Tamim Mahmud Al-Hasan, Faycal Bensaali, Armstrong Nhlabatsi

Proceedings of the Intelligent Systems and Pattern Recognition, 2024

Optimizing Domestic Energy Consumption: A Comprehensive Plug for Enhanced Monitoring and Efficiency.

Md. Mosarrof Hossen, Aya Nabil Sayed, Faycal Bensaali, Tamim M. Al-Hasan, Munshi Sajidul Islam, Armstrong Nhlabatsi

Proceedings of the IEEE/ACM International Conference on Big Data Computing, 2024

Evaluating Lightweight GAN- and Adapted CTGAN-Based Data Synthesis for Predictive Maintenance in High-Radiation Environments.

Tamim M. Al-Hasan, Xiaojun Zhai, Klaus D. McDonald-Maier, Faycal Bensaali, Alice Cryer

Proceedings of the IEEE/ACM International Conference on Big Data Computing, 2024

2022

Smart Speed Camera Based on Automatic Number Plate Recognition for Residential Compounds and Institutions Inside Qatar.

Tamim M. Al-Hasan, Ahmed S. Shibeika, Usama Attique, Fayçal Bensaali, Yassine Himeur

Proceedings of the 5th International Conference on Signal Processing and Information Security, 2022