Dr. Muhammad Asif Naeem

asif.naeem@nu.edu.pk

(051) 111-128-128 Ext: 654

Profile

Education
Summary

Dr Muhammad Asif Naeem is a Professor in Department of Computer Science, National University of Computer & Emerging Sciences. He is Director ORIC, National University of Computer & Emerging Sciences. He is a founder of Data Science Research Group (DSRG) at Auckland University of Technology and Co-Director of Intelligent Knowledge Mining and Analytics (IKMA) Lab at National University of Computer & Emerging Sciences. Before that he has served as a Senior Lecturer in School of Computer and Mathematical Sciences, Auckland University of Technology (AUT) and Associate Professor in NCBA&E. He received his PhD degree in Computer Science from The University of Auckland and has been awarded a best PhD thesis of the year. Before that he has recieved his Master’s degree in Computer Science with distinction. He has about eighteen years research, industrial and teaching experience. As an outcome of his research, he published one book and more than 90 peer reviewed journals, conferences and workshops papers including in IEEE, ACM, Elsevier, and Springer. His recent research has been published in Information Systems (ranked A* in Computing Research and Education Association CORE), ICDM 2020 (ranked A* in CORE), and in Expert Systems with Applications (Q1 in Scimago Journal Ranking SJR). He has received a number of funding grants including international grants like Callaghan Innovation Fund (CIF) and Strategic Research Innovation Fund (SRIF). He have been finalised for the Vice Chancellor Emerging Research Award twice. He has received the Faculty Best Teaching and Emerging Researcher Awards. He has been invited as a keynote speaker to a number of conferences in his area. He is an Associate Editor in IEEE Access Journal. He is organising an IEEE workshop IWDS since 2013. He have been reviewing for well-known journals and conferences in his area. His research interests include Data Science, Big Data Management, Data Mining and Machine Learning, Active Databases and Data Warehousing.

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Experience

Publications