imran khan

About

Imran Khan is currently working as Assistant Professor at the Department of Computer Science, College of Sciences, Sultan Qaboos University, Muscat, Oman. He worked as a post doctorate with the Shenzhen Key Laboratory of Computational Intelligence, Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China. He received the PhD degree from the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, in 2017. He completed his MS degree from the National University of Computer & Emerging Sciences, Islamabad, Pakistan, in 2011 and the MSc degree from Quaid E Azam University, Islamabad, Pakistan in 2007. His research interests include data mining, analysis of complex data, and data warehouse and the business intelligent system.

Employment

• Sultan Qaboos University Assistant Professor
  2019 - Present

Education

• University of Chinese Academy of Sciences PhD

Projects & Funding

Projects & funding information is unavailable.

Publications (18)

• Entropy in Fuzzy k-Means Algorithm for Multi-view Data
  Lecture Notes in Networks and Systems 2023 DOI: 10.1007/978-3-031-33743-7_10
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• SUPERVISED CLASS-PAIRWISE NMF FOR DATA REPRESENTATION AND CLASSIFICATION
  arXiv 2022 DOI: 10.48550/arXiv.2209.13831
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• Short term energy consumption forecasting using neural basis expansion analysis for interpretable time series
  Scientific Reports 2022 DOI: 10.1038/s41598-022-26499-y
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• Supervised Class-Pairwise Nmf for Data Representation and Classification
  SSRN 2022
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• E-Participation Within E-Government: A Bibliometric-Based Systematic Literature Review
  International Journal of Electronic Government Research (IJEGR) 2021 DOI: 10.4018/IJEGR.2021100102
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• Ensemble clustering using extended fuzzy k-means for cancer data analysis
  Expert Systems with Applications 2021 DOI: 10.1016/J.ESWA.2021.114622
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• Variable weighting in fuzzy k-Means clustering to determine the number of clusters
  IEEE Transactions on Knowledge and Data Engineering 2020 DOI: 10.1109/TKDE.2019.2911582
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• Nonnegative Matrix Factorization Based Consensus for Clusterings With a Variable Number of Clusters
  IEEE Access 2018 DOI: 10.1109/ACCESS.2018.2874038
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• I-nice: A new approach for identifying the number of clusters and initial cluster centres
  Information Sciences 2018 DOI: 10.1016/J.INS.2018.07.034
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• CPLP: An algorithm for tracking the changes of power consumption patterns in load profile data over time
  Information Sciences 2018 DOI: 10.1016/J.INS.2017.11.006
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