Projects per year
Organization profile
Organization profile
The Interdisciplinary Research Center for Communication Systems and Sensing (IRC-CSS) is established as part of the University's plan to focus on research that spans multiple disciplines in areas that are dearly needed in the Kingdom and even globally. The IRC-CSS is established to advance knowledge in the areas of communication systems and sensing; including electrical, optical, acoustic systems for localization and radar systems, and to facilitate the transformation of this knowledge into commercial innovations.
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Collaborations and top research areas from the last five years
Profiles
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Abdullah Abdulhameed
- Interdisciplinary Research Center for Communication Systems and Sensing - Post Doctoral Fellow
Person
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Muneer Absi
- Interdisciplinary Research Center for Communication Systems and Sensing - Senior Research Scholar
- Department of Electrical Engineering - Professor
Person: Researcher
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Adel Ahmed
- Interdisciplinary Research Center for Communication Systems and Sensing - Research Scholar
- Department of Information and Computer Science - Assistant Professor
Person: Academic
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Development of a Scalable SDR-Based MIMO Radar System Testbed for Personnel Sensing
Muqaibel, A. (PI)
1/01/25 → 31/12/25
Project: Research
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Design and Simulate a High Efficiency RF-DC Converter Based N-Well Process for Self-Bias Internet of Things (IoTs)
Absi, M. (PI) & Al-Khulaifi, A. (CoI)
1/01/25 → 31/12/25
Project: Research
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Health Monitoring of Lightweight Concrete Structures using Reusable and Low-cost Piezoelectric Patches: Experimental and Numerical Modelling (Phase II)
Tee, K. F. (PI), Al-Osta, M. (CoI) & Sheikh, S. (CoI)
1/01/25 → 31/12/25
Project: Research
Research output
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Active RIS-Aided Massive MIMO With Imperfect CSI and Phase Noise
Peng, Z., Zhu, J., Pan, C., Zhang, Z., Da Costa, D. B., Elkashlan, M. & Karagiannidis, G. K., 2025, (Accepted/In press) In: IEEE Transactions on Wireless Communications.Research output: Contribution to journal › Article › peer-review
Open Access -
Adaptive Hierarchical Multi-Headed Convolutional Neural Network With Modified Convolutional Block Attention for Aerial Forest Fire Detection
Mowla, M. N., Asadi, D., Masum, S. & Rabie, K., 2025, In: IEEE Access. 13, p. 3412-3433 22 p.Research output: Contribution to journal › Article › peer-review
Open Access4 Scopus citations -
A Deep Learning Model for Optimizing Downlink Parameters of Wireless Information and Power Transfer in Massive MIMO Networks
Elrashidy, M., Masood, M. & Arshad Nasir, A., 25 Mar 2025, In: International Journal of Communication Systems. 38, 5, e6048.Research output: Contribution to journal › Article › peer-review