Mohammed Atiquzzaman

Papers

Total Citations

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About

Mohammed Atiquzzaman is a leading researcher in cyber-physical systems, smart city infrastructure, and network security. His work on "Big Data Analytics for Cyber-Physical System in Smart City" (2020, 24 citations) has been foundational in integrating massive data streams with urban IoT networks, enabling real-time decision-making for traffic, energy, and public safety. He further advanced the field with his 2023 study on "Intrusion Detection-Based Ensemble Learning and Microservices for Zero Touch Networks" (19 citations), which addresses critical vulnerabilities in Industry 4.0 by combining machine learning with microservice architectures to automate threat detection in IIoT environments. This work is particularly notable for its practical approach to securing the digital transformation of manufacturing and logistics. Atiquzzaman also contributed to the "2020 International Conference on Applications and Techniques in Cyber Intelligence," helping shape discourse on AI-driven cybersecurity. His research is distinguished by its direct relevance to real-world smart city deployments and industrial automation, bridging the gap between theoretical cybersecurity models and scalable, zero-touch network management.