Dr. Rami Alshwaiyat

Dr. Rami Ahmed

Dr. Rami Alshwaiyat

Assistant Professor - College of Computer Information Technology

Publications : 28
Citations : 440
h-Index : 12
Last Updated : Apr/23/2024 04:33:01

Dr Rami Ahmed is currently working as an Assistant Professor of Computer Science, Networking, and Network Security at the American University in the Emirates (AUE). Dr Ahmed is an academic and researcher in the field of wireless networks and sensor networks—focusing primarily on management, security and lightweight security techniques, as well as network self-management and various applications of the network embedding system. Furthermore, he has experience in writing and evaluating applied research proposals in European funding organizations.

Dr Ahmed obtained his PhD in Computer Science from the Networking and Security Lab of the National University of Malaysia. He also has a master’s degree in Computer Science in the field of Intelligent Systems from Utara Malaysia University.
Prior to joining AUE, Dr Ahmed was working at the University of Klagenfurt, Austria, as a senior scientist in the Ubiquitous Sensor Systems Laboratory. Prior to that, he worked at Sebha University, Libya, as an Assistant Professor in the Department of Information Technology. He also worked as a research assistant at the German Jordanian University, Jordan, before which he was a lecturer at the Universities of Najran and Hail, Saudi Arabia.
Dr. Ahmed’s current research interests include machine learning, computer and wireless networking, network security, lightweight security technologies, and network sensing. In addition to teaching and research, he has interests in evaluating and writing funded research projects.

Publications

Journal

Cover Date	Title	Citations
01/01/2016	A moving direction and historical information assisted fast handover in LTE-A	1
08/01/2023	A New SDN-Handover Framework for QoS in Heterogeneous Wireless Networks	3
01/01/2019	A Novel student clustering model for the learning simplification in educational Environments	0
12/01/2020	A survey on femtocell handover management in dense heterogeneous 5G networks	30
10/01/2023	Adaptive mean center of mass particle swarm optimizer for auto-localization in 3D wireless sensor networks	0
09/01/2022	Adaptive Trust-Based Framework for Securing and Reducing Cost in Low-Cost 6LoWPAN Wireless Sensor Networks	9
04/15/2021	An automated lightweight encryption scheme for secure and energy-efficient communication in wireless sensor networks	62
05/01/2018	An efficient handover decision in heterogeneous LTE-A networks under the assistance of users’ profile	13
04/01/2023	Digital-care in next generation networks: Requirements and future directions	5
06/01/2018	Efficient Handover in LTE-A by Using Mobility Pattern History and User Trajectory Prediction	22
07/02/2021	Feature-selection and mutual-clustering approaches to improve dos detection and maintain wsns’ lifetime	24
11/01/2017	Handover in LTE-advanced wireless networks: state of art and survey of decision algorithm	40
01/01/2022	Hybrid feature extractions and CNN for enhanced periocular identification during Covid-19	7
12/01/2023	Integrating object-based and pixel-based segmentation for building footprint extraction from satellite images	0
01/01/2022	Machine learning approaches to detect DoS and their effect on WSNs lifetime	21
07/01/2022	Machine Learning for Wireless Sensor Networks Security: An Overview of Challenges and Issues	61
01/01/2024	Optimization Algorithms for Wireless Sensor Networks Node Localization: An Overview	0
11/01/2022	Productivity modelling of an inclined stepped solar still for seawater desalination using boosting algorithms based on experimental data	0
03/15/2024	Provably secured and lightweight authenticated encryption protocol in machine-to-machine communication in industry 4.0	0
08/01/2021	Sdn-openflow topology discovery: An overview of performance issues	43
07/02/2021	Secure watermarking schemes and their approaches in the iot technology: An overview	26
12/01/2023	State-of-the-art review on energy and load forecasting in microgrids using artificial neural networks, machine learning, and deep learning techniques	14
01/01/2024	Survey on the authentication and key agreement of 6LoWPAN: Open issues and future direction	5
12/24/2021	Sustaining accurate detection of phishing URLs using SDN and feature selection approaches	19
10/15/2023	Two-Level Sensor Self-Calibration Based on Interpolation and Autoregression for Low-Cost Wireless Sensor Networks	4

Publications

Conference Proceeding

Cover Date	Title	Citations
01/01/2021	Analysis the Effect of Clustering and Lightweight Encryption Approaches on WSNs Lifetime	10
01/01/2021	New Framework for Authentication and key Establishment to Secure 6LoWPAN Networks	8
07/02/2017	Performance of movement direction distance-based vertical handover algorithm under various femtocell distributions in HetNet	10

Dr. Rami Ahmed

Assistant Professor, College of Computer Information Technology

Dr Rami Ahmed is currently working as an Assistant Professor of Computer Science, Networking, and Network Security at the American University in the Emirates (AUE). Dr Ahmed is an academic and researcher in the field of wireless networks and sensor networks—focusing primarily on management, security and lightweight security techniques, as well as network self-management and various applications of the network embedding system. Furthermore, he has experience in writing and evaluating applied research proposals in European funding organizations.

Dr Ahmed obtained his PhD in Computer Science from the Networking and Security Lab of the National University of Malaysia. He also has a master’s degree in Computer Science in the field of Intelligent Systems from Utara Malaysia University.

Prior to joining AUE, Dr Ahmed was working at the University of Klagenfurt, Austria, as a senior scientist in the Ubiquitous Sensor Systems Laboratory. Prior to that, he worked at Sebha University, Libya, as an Assistant Professor in the Department of Information Technology. He also worked as a research assistant at the German Jordanian University, Jordan, before which he was a lecturer at the Universities of Najran and Hail, Saudi Arabia.

Dr. Ahmed’s current research interests include machine learning, computer and wireless networking, network security, lightweight security technologies, and network sensing. In addition to teaching and research, he has interests in evaluating and writing funded research projects.