Dr Syeda Fizzah Jilani
Lecturer in Radio Spectrum Physics
Manylion Cyswllt
- Ebost: sfj7@aber.ac.uk
- ORCID: 0000-0002-4751-8574
- Swyddfa: MP-2.17, Adeilad y Gwyddorau Ffisegol
- Ffôn: +44 (0) 1970 622568
- Gwefan Personol: https://www.linkedin.com/in/syeda-fizzah-jilani-943943160/?originalSubdomain=uk
- Google Scholar: https://scholar.google.co.uk/citations?user=mVKAGgUAAAAJ
- Proffil Porth Ymchwil
Noder: Mae gwybodaeth ychwanegol neu manylach ar y fersiwn Saesneg o'r proffil hwn.
Dysgu
Module Coordinator
- PHM2220 - Advanced Wireless Networks - 5G and Beyond
- PHM2820 - Antennas and Wave Propagation
- PH04520 - Introduction to Fundamentals of Physics II
- PHM2420 - Electromagnetic Theory and Microwave Devices
- PH24520 - Sensors, Electronics & Instrumentation
Lecturer
Coordinator
- PHM2820 - Antennas and Wave Propagation
- PHM2220 - Advanced Wireless Networks - 5G and Beyond
- PHM2420 - Electromagnetic Theory and Microwave Devices
- PH24520 - Sensors, Electronics & Instrumentation
- PH04520 - Introduction to Fundamentals of Physics II
Grader
Cyhoeddiadau
Batool, S, Aslam, M, Akpokodje, E & Jilani, SF 2025, 'A Comprehensive Review of DDoS Detection and Mitigation in SDN Environments: Machine Learning, Deep Learning, and Federated Learning Perspectives', Electronics (Switzerland), vol. 14, no. 21, 4222. 10.3390/electronics14214222
Akpokodje, E, Ugwuoke, N, Davies, M, Jilani, SF, de la Puerta Fernandez, M, Thompson, L & Hart, E 2025, 'A Multi-Sensing Technology Approach for the Environmental Monitoring of the Ystwyth River', Sensors, vol. 25, no. 21, 6743. 10.3390/s25216743
Tang, M, He, Y, Aslam, M, Akpokodje, E & Jilani, SF 2025, 'Enhanced U-Net++ for Improved Semantic Segmentation in Landslide Detection', Sensors, vol. 25, no. 9, 2670. 10.3390/s25092670
Alkaraki, S, Ullah Khan, Z, Jilani, SF, Andre Sarker, A, Kelly, JR & Alomainy, A 2025, 'Low–Cost 3D–Printed Standard Gain Horn Antennas for Millimetre–Wave Applications', Journal of Manufacturing and Materials Processing, vol. 9, no. 7, 222. 10.3390/jmmp9070222
Asad, A, Sarwar, M, Aslam, M, Akpokodje, E & Jilani, SF 2025, 'MultiScaleFusion-Net and ResRNN-Net: Proposed Deep Learning Architectures for Accurate and Interpretable Pregnancy Risk Prediction', Applied Sciences, vol. 15, no. 11, 6152. 10.3390/app15116152
Mwy o gyhoeddiadau ar y Porth Ymchwil