Publications

Research

FlexiNet: An Adaptive Feature Synthesis Network for Real-Time Ego Vehicle Speed Estimation

Abdalrahman Ibrahim · Kyandoghere Kyamakya · Wolfgang Pointner

IEEE Access · 2025 — Journal · DOI: 10.1109/ACCESS.2025.3562229

This paper introduces FlexiNet, a novel adaptive feature synthesis network designed for real-time ego vehicle speed estimation in autonomous driving systems. FlexiNet dynamically synthesizes features across multiple scales and modalities, achieving state-of-the-art accuracy while maintaining the throughput required for real-time deployment on vehicle hardware.

BibTeX ↓

@article{Ibrahim2025,
  author    = {Abdalrahman Ibrahim and Kyandoghere Kyamakya and Wolfgang Pointner},
  title     = {{FlexiNet: An Adaptive Feature Synthesis Network for Real-Time Ego Vehicle Speed Estimation}},
  journal   = {IEEE Access},
  year      = {2025},
  doi       = {10.1109/ACCESS.2025.3562229},
  url       = {https://doi.org/10.1109/ACCESS.2025.3562229},
}

A Graph Attention Network Based System for Robust Analog Circuits' Structure Recognition Involving a Novel Data Augmentation Technique

Ali Deeb · Mohamed Salem · Abdalrahman Ibrahim · Joachim Pichler · Sergii Tkachov · Karaj Anjeza · Fadi Al Machot · Kyandoghere Kyamakya

IEEE Access · 2024 — Journal · DOI: 10.1109/ACCESS.2024.3367598

This work presents a comprehensive system using Graph Attention Networks for robust recognition of analog circuit structures. A novel data augmentation technique is introduced to improve generalization across diverse schematic layouts. The system achieves high recognition accuracy on real-world IP analog circuits, enabling automation of a previously manual verification task.

BibTeX ↓

@article{Deeb2024,
  author    = {Ali Deeb and Mohamed Salem and Abdalrahman Ibrahim and Joachim Pichler and Sergii Tkachov and Karaj Anjeza and Fadi Al Machot and Kyandoghere Kyamakya},
  title     = {{A Graph Attention Network Based System for Robust Analog Circuits' Structure Recognition Involving a Novel Data Augmentation Technique}},
  journal   = {IEEE Access},
  year      = {2024},
  doi       = {10.1109/ACCESS.2024.3367598},
  url       = {https://doi.org/10.1109/ACCESS.2024.3367598},
}

A Comprehensive Generalization of a Graph-Attention-Network GAT Based System Towards Real IP Analog-Mixed-Signal AMS Schematics Structure Recognition

Ali Deeb · Mohamed Salem · Abdalrahman Ibrahim · Witesyavwirwa Vianney Kambale · Joachim Pichler · Fadi Al Machot · Kyandoghere Kyamakya

30th IEEE International Conference on Electronics, Circuits and Systems (ICECS) · 2023 — Conference · DOI: 10.1109/ICECS58634.2023.10382859

A comprehensive generalization approach for GAT-based systems applied to real IP analog-mixed-signal (AMS) schematic structure recognition. The work demonstrates that graph attention architectures generalize across schematic styles and technology nodes without retraining from scratch.

BibTeX ↓

@inproceedings{Deeb2023,
  author    = {Ali Deeb and Mohamed Salem and Abdalrahman Ibrahim and Witesyavwirwa Vianney Kambale and Joachim Pichler and Fadi Al Machot and Kyandoghere Kyamakya},
  title     = {{A Comprehensive Generalization of a Graph-Attention-Network GAT Based System Towards Real IP Analog-Mixed-Signal AMS Schematics Structure Recognition}},
  booktitle = {30th IEEE International Conference on Electronics, Circuits and Systems (ICECS)},
  year      = {2023},
  doi       = {10.1109/ICECS58634.2023.10382859},
  url       = {https://doi.org/10.1109/ICECS58634.2023.10382859},
}

A Vertical Systematic Generalization Towards Real IP Analog-Mixed-Signal AMS Schematics Structure Recognition

Ali Deeb · Mohamed Salem · Abdalrahman Ibrahim · Witesyavwirwa Vianney Kambale · Joachim Pichler · Fadi Al Machot · Kyandoghere Kyamakya

27th International Conference on Circuits, Systems, Communications and Computers (CSCC) · 2023 — Conference · DOI: 10.1109/CSCC58962.2023.00053

A systematic approach to generalizing analog-mixed-signal schematic recognition systems across vertical abstraction levels — from device-level schematics to block-level topologies. The method enables recognition at multiple levels of hierarchy without separate training pipelines.

BibTeX ↓

@inproceedings{Deeb2023,
  author    = {Ali Deeb and Mohamed Salem and Abdalrahman Ibrahim and Witesyavwirwa Vianney Kambale and Joachim Pichler and Fadi Al Machot and Kyandoghere Kyamakya},
  title     = {{A Vertical Systematic Generalization Towards Real IP Analog-Mixed-Signal AMS Schematics Structure Recognition}},
  booktitle = {27th International Conference on Circuits, Systems, Communications and Computers (CSCC)},
  year      = {2023},
  doi       = {10.1109/CSCC58962.2023.00053},
  url       = {https://doi.org/10.1109/CSCC58962.2023.00053},
}

Study of Massive Floating Solar Panels over Lake Nasser

Mohamed A. Tolba · Abdalrahman Ibrahim · Ahmed M. El-Nahas · Basem Elboshy · Bassem M. Ramzy · Ahmed M. El-Garhy

International Journal of Photoenergy · 2021 — Journal · DOI: 10.1155/2021/6674091

Comprehensive study on the technical feasibility, energy output modeling, and environmental impact of deploying massive floating solar panel arrays over Lake Nasser, Egypt. The analysis covers thermal performance, water evaporation reduction, and grid integration potential.

BibTeX ↓

@article{Tolba2021,
  author    = {Mohamed A. Tolba and Abdalrahman Ibrahim and Ahmed M. El-Nahas and Basem Elboshy and Bassem M. Ramzy and Ahmed M. El-Garhy},
  title     = {{Study of Massive Floating Solar Panels over Lake Nasser}},
  journal   = {International Journal of Photoenergy},
  year      = {2021},
  doi       = {10.1155/2021/6674091},
  url       = {https://doi.org/10.1155/2021/6674091},
}

Evaluation of Capacitive Deionization Desalination Technology for Irrigation

Abdalrahman Ibrahim · O.A. Abdullatef · H.F. Abd-Elhamid · A.M. El-Nahas · M.A. Tolba · Bassem M. Ramzy

Desalination and Water Treatment · 2020 — Journal · DOI: 10.5004/dwt.2020.25676

Evaluation of capacitive deionization (CDI) technology as a sustainable, energy-efficient solution for irrigation water desalination in arid regions. The study benchmarks CDI performance against conventional reverse osmosis and assesses viability for small-scale agricultural applications.

BibTeX ↓

@article{Ibrahim2020,
  author    = {Abdalrahman Ibrahim and O.A. Abdullatef and H.F. Abd-Elhamid and A.M. El-Nahas and M.A. Tolba and Bassem M. Ramzy},
  title     = {{Evaluation of Capacitive Deionization Desalination Technology for Irrigation}},
  journal   = {Desalination and Water Treatment},
  year      = {2020},
  doi       = {10.5004/dwt.2020.25676},
  url       = {https://doi.org/10.5004/dwt.2020.25676},
}