Rate My Professor David Taniar

His research interests include computation theory and mathematics, distributed computing, information systems, and mobile databases, with a focus on data management encompassing design, query algorithms, data structures, integration, cleansing, and fusion. He applies big data technologies such as cloud platforms, Spark, Hadoop, NoSQL, and IoT in domains like healthcare, medicine, AgTech, manufacturing, railways, environment, ecology, and utilities. Taniar has authored books such as High-Performance Parallel Database Processing and Grid Databases in 2008 and Performance of Database Processing in Parallel and Distributed Computing Systems. He co-edited Data Warehousing and Analytics: Fueling the Data Engine and Web Semantics and Ontology in 2006. As Editor-in-Chief, he has overseen the International Journal of Web Information Systems, International Journal of Web and Grid Services, International Journal of Data Warehousing and Mining, and International Journal of Business Data Communications and Networking. Notable publications include ODAM: An Optimized Distributed Association Rule Mining Algorithm in 2004, Iterative enhancement fusion-based cascaded model for detection and localization of multiple disease from CXR-Images in 2024, and recent papers on spatial accessibility in early childhood education, DNA methylation biomarkers for low-survival-rate cancers, and blockchain-enabled drug supply chain security. He received the 2021 Good Design Award Gold Winner for Hand Hygiene Management and a 2012 Faculty of Information Technology Teaching Excellence Award. Taniar has delivered keynote speeches at international conferences such as ICCSA 2018 on spatial information processing and SCDM 2018 on big data.