Guest Speaker: Prof Latifur Khan (UT Dallas) on Big Data Stream Analytics
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Big Data Stream Analytics and Its Applications presented by Professor Latifur Khan Department of Computer Science, UT at Dallas, USA
About this event
Title: Big Data Stream Analytics and Its Applications
Professor Latifur Khan
Department of Computer Science, University of Texas at Dallas, USA
Abstract
Data streams are continuous flows of data. Examples of data streams include network traffic, sensor data, call center records and so on. Data streams demonstrate several unique properties that together conform to the characteristics of big data (i.e., volume, velocity, variety and veracity) and add challenges to data mining. In this talk I will present an organized picture on how to handle various data mining/machine learning techniques in data streams. In addition, I will present a number of stream applications such as adaptive website fingerprinting, textual stream classification, new political actor identification over textual stream, and domain adaptation.
This research was funded in part by NSF, NASA, Air Force Office of Scientific Research (AFOSR), NSA, IBM Research, and Raytheon.
Bio:
Dr. Latifur Khan is currently a full Professor (tenured) in the Computer Science department at the University of Texas at Dallas, USA where he has been teaching and conducting research since September 2000. He received his Ph.D. degree in Computer Science from the University of Southern California (USC) in August of 2000.
Dr. Khan is an ACM Distinguished Scientist and received IEEE Big Data Security Senior Research Award, in May 2019, and SIRI (Society of Information Reuse and Integration) award in Aug, 2018. He has received prestigious awards including the IEEE Technical Achievement Award for Intelligence and Security Informatics and IBM Faculty Award (research) 2016. Recently, he has become a Fellow of British Computer Society (BCS), and Institution of Engineering and Technology (IET).
Dr. Latifur Khan has published over 300 papers in premier journals such as VLDB, Journal of Web Semantics, IEEE TDKE, IEEE TDSC, IEEE TSMC, and AI Research and in prestigious conferences such as AAAI, IJCAI, KDD, CIKM, ICDE, IEEE ICDM, IEEE BigData, ECML/PKDD, PAKDD, ACM Multimedia, and WWW. He has been invited to give keynotes and invited talks at a number of conferences hosted by IEEE and ACM. Currently, he is serving as an associate editor of ACM transaction on Internet Technology (TOIT), ACM Transactions on Knowledge Discovery from Data (TKDD) and IEEE Transactions on Artificial Intelligence.
More details can be found at: www.utdallas.edu/~lkhan
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Guest Speaker: Prof Latifur Khan (UT Dallas) on Big Data Stream Analytics