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Dr. Salahuddin's research interests include wireless sensor networks (WSN), indoor and outdoor localization techniques, QoS and QoE in vehicular ad hoc networks (VANETs - WAVE, IEEE 802.11p and IEEE 1609.4) and vehicular clouds, software-defined networking (SDN), network function virtualization (NFV), content delivery networks (CDN), internet of things (IoT), network security, and autonomous network management. His methodologies include operations research, machine learning, evolutionary computing and high performance computing using CUDA-enabled GPUs. On a research grant from Scenaria, Inc., a subsidiary of AVL North America, he has developed business intelligence and data analytics software to facilitate market research, strategic planning and decision making. During this research, he also designed and developed a visual optimization software to solve domain independent linear and non-linear optimization problems, which is in use to date. He serves on the Technical Program Committee (TPC) for international conferences and is a reviewer for various peer-reviewed journals, magazines and conferences.
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IEEE Transactions on Dependable and Secure Computingno. 5 (2023): 4002-4015
ICINpp.1-14, (2023)
2023 19TH INTERNATIONAL CONFERENCE ON NETWORK AND SERVICE MANAGEMENT, CNSMpp.1-9, (2023)
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IFIP Networkingpp.1-9, (2023)
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IEEE Communications Magazineno. 99 (2023): 1-7
2023 IEEE 48th Conference on Local Computer Networks (LCN)pp.1-9, (2023)
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