Dr Muhammad Aslam
Lecturer in Computer Science
Department of Computer Science
Contact Details
- Email: mua19@aber.ac.uk
- ORCID: 0000-0002-9697-6766
- Office: C-31
- Phone: +44 (0) 1970 628546
- Research Portal Profile
Teaching
Module Coordinator
Lecturer
- CS31920 - Advanced Algorithms
- CS18120 - Study Skills for Computer Science
- CS39440 - Major Project
- CHM9360 - MSC Project
- CSM9060 - Dissertation
- CS01010 - Spreadsheets for University Students
Tutor
Coordinator
Moderator
Research Groups
Publications
Meates, I, Alkaraki, S, Aslam, M, Abbasi, Q, Evans, A & Jilani, SF 2024, A Compact High-Gain 28 GHz Antenna Array for Beyond 5G Wireless Networks. in 18th European Conference on Antennas and Propagation, EuCAP 2024: EuCAP 2024. 18th European Conference on Antennas and Propagation, EuCAP 2024, IEEE Press, European Conference on Antennas and Propagation, Glasgow, United Kingdom of Great Britain and Northern Ireland, 17 Mar 2024. 10.23919/EuCAP60739.2024.10501487
Barboza, E, Turpo, EY, Lopez, RS, Silva-Lopez, JO, Cruz, J, Vasquez, HV, Purohit, S, Aslam, M & Tariq, A 2024, 'Analyzing Urban Expansion and Land Use Dynamics in Bagua Grande and Chachapoyas Using Cloud Computing and Predictive Modeling', Earth Systems and Environment. 10.1007/s41748-024-00470-5
Binbusayyis, A, Alanazi, A, Alsubai, S, Alasiry, A, Marzougui, M, Alqahtani, A, Sha, M & Aslam, M 2024, 'A secured cloud-medical data sharing with A-BRSA and Salp -Ant Lion Optimisation Algorithm', CAAI Transactions on Intelligence Technology. 10.1049/cit2.12305
Német, A, Alkaraki, S, Aslam, M, Abbasi, Q, Evans, A & Jilani, SF 2024, Dual-Band Defected Ground Structure Antenna for 6G and beyond Cellular Networks. in 2024 IEEE International Symposium on Antennas and Propagation and INC/USNC‐URSI Radio Science Meeting (AP-S/INC-USNC-URSI). IEEE Antennas and Propagation Society, AP-S International Symposium (Digest), IEEE Press, pp. 643-644, 2024 IEEE International Symposium on Antennas and Propagation and INC/USNCURSI Radio Science Meeting, AP-S/INC-USNC-URSI 2024, Florence, Italy, 14 Jul 2024. 10.1109/AP-S/INC-USNC-URSI52054.2024.10685952
Waseem, I, Habib, M, Rehman, E, Bibi, R, Yousaf, RM, Aslam, M, Jilani, SF & Younis, MW 2024, 'Enhanced Learning Enriched Features Mechanism Using Deep Convolutional Neural Network for Image Denoising and Super-Resolution', Applied Sciences, vol. 14, no. 14, 6281. 10.3390/app14146281
More publications on the Research Portal