Md Rakibul Alam

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Affiliation

Chair of Transportation Systems Engineering, TUM School of Engineering and Design, Technical University of Munich, Munich, Germany

Topic

Anomaly Data,Anomaly Detection,Time Series,Traffic Data,Expert Users,Part Of The Time Series,Potential Anomalies,Time Series Data,Traffic Flow,25th Percentile,Acceleration Profile,Acceleration Range,Acceleration Values,Access Control,Analysis Of Layer,Analysis Tasks,Anomaly Detection Framework,Anomaly Detection Methods,Autoregressive Integrated Moving Average,Average Euclidean Distance,Big Challenge,Big Data,Big Data Analytics,Big Data Challenges,Big Data Management,Cloud Computing,Cloud Infrastructure,Controller Area Network,Daily Patterns,Data Acquisition System,Data Backup,Data Management,Data Management System,Data Retrieval,Data Security,Data Storage,Data Warehouse,Data-driven Decision,Data-driven Decision-making,Detection In Time Series,Different Numbers Of Clusters,Drone Swarm,Dynamic Time Warping,Expert Input,External Entities,Extreme Gradient Boosting,Gaussian Filter,Global Navigation Satellite System,Global Positioning System Data,Gradient Boosting,

Biography

Md. Rakibul Alam received the B.Sc. degree in computer science from Independent University, Bangladesh, and the M.Sc. degree in informatics from the Technical University of Munich (TUM), Germany, where he is currently pursuing the Ph.D. degree with the Chair of Transportation Systems Engineering. He is also a Research Associate with the Chair of Transportation Systems Engineering, TUM. His research interests include data engineering and architecture in intelligent transportation systems.