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Adnan Akbar
Also published under:A. Akbar
Affiliation
DataBurst.ai, London, UK
Topic
Complex Events,Internet Of Things,Internet Of Things Applications,Internet Of Things Data,Data Streams,Intelligent Transportation Systems,Open-source,Real-time Data,Traffic Data,Apache Spark,Batch Mode,Big Data,City Of Madrid,Energy Management,Internet Of Things Devices,Machine Learning,MapReduce,Real-world Use Cases,Scalable,Smart City,Social Media,Social Media Data,Traffic Flow,Traffic Volume,Anomaly Detection,Bayesian Implementation,Bayesian Model,Complex Event Processing,Complex Patterns,Conditional Probability,Context-aware,Continuous Stream Of Data,Data Fusion,Decision Support System,Degrees Of Freedom Parameter,Directed Acyclic Graph,Distributed Architecture,Error Probability,Event Information,Eventual Use,Fields Of Life,Heterogeneous Data,Historical Dataset,Ingestion,Interdisciplinary Research,Internet Of Things Systems,Large Amount Of Data,Learning Algorithms,Mean Absolute Percentage Error,Microservices,
Biography
Adnan Akbar received the B.Sc. degree from the University of Engineering and Technology, Pakistan, in 2009, and the M.Sc. degree (Hons.) from the University of Surrey, U.K., in 2011. He is currently pursuing the Ph.D. degree with the 5G Innovation Centre, University of Surrey, U.K. Before joining the Ph.D. program, he was a Research Assistant with the Institute of Space Technology, Pakistan, for two years. His current research interests lie in machine learning, complex event processing, big data, and Internet of Things