Dr Kamran Ali joined Middlesex University in 2020. He is Associate Lecturer in the Computer Science Department within the Faculty of Science and Technology. He received the PhD degree in disaster communication architecture funded project from Newton fund/British Council Institute. He is pursuing his career in teaching and research in the U.K. His current research interests include D2D communication, wireless cooperative networks, disaster management systems, cluster and cloud computing. Dr. Ali is a Fellow of the Higher Education Academy (UK) and part of the technical program committees and organizing committees of several international conferences, workshops, and special sessions.
Module Leader CST4570 Virtualisation and Cloud Computing (Jan-Present)
Module Leader CST1530 Computer Networks CST1530 (May-Present)
Kasi, Shahrukh and Kasi, Mumraiz and Ali, Kamran and Raza, Mohsin and Lasebae, Aboubaker (2020) Heuristic edge server placement in Industrial Internet of Things and cellular networks. IEEE Internet of Things Journal . ISSN 2327-4662 (Accepted/In press)
Kiyani, Anum Tanveer and Lasebae, Aboubaker and Ali, Kamran and Ur-Rehman, Masood and Haq, Bushra (2020) Continuous user authentication featuring keystroke dynamics based on robust recurrent confidence model and ensemble learning approach. IEEE Access , 8 . pp. 156177-156189. ISSN 2169-3536
Ali, Kamran and Nguyen, Huan X. and Vien, Quoc-Tuan and Shah, Purav and Raza, Mohsin (2020) Deployment of drone-based small cells for public safety communication system. IEEE Systems Journal , 14 (2). pp. 2882-2891. ISSN 1932-8184
Javed, Mohsin and Ahmed, Ghufran and Mahmood, Danish and Raza, Mohsin and Ali, Kamran and Ur-Rehman, Masood (2019) TAEO-A thermal aware & energy optimized routing protocol for wireless body area networks. Sensors , 19 (15). pp. 1-14. ISSN 1424-8220
Awais, Muhammad and Raza, Mohsin and Ali, Kamran and Ali, Zulfiqar and Irfan, Muhammad and Chughtai, Omer and Khan, Imran and Kim, Sunghwan and Ur Rehman, Masood (2019) An Internet of Things based bed-egress alerting paradigm using wearable sensors in elderly care environment. Sensors , 19 (11). pp. 1-17. ISSN 1424-8220