Rate My Professor Zahir Tari

Tari's research focuses on innovative solutions for large-scale distributed systems such as Cloud, IoT, and Edge computing, and critical systems including SCADA and Smart Grids, addressing security, performance, scalability, and reliability via analytical and computational models. His contributions integrate human and system perspectives into cybersecurity, advancing anomaly detection and system survivability. Key publications include 'A survey of clustering algorithms for big data: Taxonomy and empirical analysis' (2014, IEEE Transactions on Emerging Topics in Computing), 'TON_IoT telemetry dataset: A new generation dataset of IoT and IIoT for data-driven intrusion detection systems' (2020, IEEE Access), 'SCADASim—A framework for building SCADA simulations' (2011, IEEE Transactions on Smart Grid), 'MetaCDN: Harnessing ‘Storage Clouds’ for high performance content delivery' (2009, Journal of Network and Computer Applications), and 'Blockchain-based federated learning for securing internet of things: A comprehensive survey' (2023, ACM Computing Surveys). These works have had substantial impact in cybersecurity and distributed computing fields.