Email: A.Kiyani @ mdx.ac.uk Office: T000 Town Hall Building, Hendon Campus Personal Website
About
- Lecturer in Science and Technology
Research Interests
- Computational intelligence
- Artificial neural networks
- Evolutionary algorithms
More Information
Publications Repository
EEL-GA: an evolutionary clustering framework for energy-efficient 3D wireless sensor networks in smart forestry
Batool, F., Ali, K., Lasebae, A., Windridge, D. and Kiyani, A. 2025. EEL-GA: an evolutionary clustering framework for energy-efficient 3D wireless sensor networks in smart forestry. Sensors. 25 (17). https://doi.org/10.3390/s25175250
Analyzing docker vulnerabilities through static and dynamic methods and enhancing IoT security with AWS IoT Core, CloudWatch, and GuardDuty
Ajith, V., Cyriac, T., Chavda, C., Kiyani, A.T., Chennareddy, V. and Ali, K. 2024. Analyzing docker vulnerabilities through static and dynamic methods and enhancing IoT security with AWS IoT Core, CloudWatch, and GuardDuty. IoT. 5 (3), pp. 592-607. https://doi.org/10.3390/iot5030026
Efficient design for smart environment using Raspberry Pi with Blockchain and IoT (BRIoT)
Ponugumati, S., Ali, K., Lasebae, A., Zahoor, Z., Kiyani, A., Khoshkholghi, A. and Maddu, L. 2023. Efficient design for smart environment using Raspberry Pi with Blockchain and IoT (BRIoT). CCGridW: 4th Workshop on Secure IoT, Edge and Cloud Systems (SioTEC) 2023. Bangalore, India 01 - 04 May 2023 IEEE. pp. 75-80 https://doi.org/10.1109/CCGridW59191.2023.00026
Continuous user authentication featuring behavioural biometrics
Kiyani, A. 2021. Continuous user authentication featuring behavioural biometrics. PhD thesis Middlesex University
Continuous user authentication featuring keystroke dynamics based on robust recurrent confidence model and ensemble learning approach
Kiyani, A., Lasebae, A., Ali, K., Ur-Rehman, M. and Haq, B. 2020. Continuous user authentication featuring keystroke dynamics based on robust recurrent confidence model and ensemble learning approach. IEEE Access. 8, pp. 156177-156189. https://doi.org/10.1109/ACCESS.2020.3019467