Education and Achievements

PhD in Neural Computing (Slow Feature Analysis, Canonical Correlation Analysis, Linear Discriminant Analysis and Laplacian Eigenmaps)

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PhD Thesis

“Towards On-line Domain-Independent Big Data Learning: Novel Theories and Applications ”

Principal Supervisor: Professor Amir Hussain, University of Stirling, Scotland, UK
Second Supervisor: Dr. David Cairns, University of Stirling, Scotland, UK

PhD External Examiner: Prof. Kevin Warwick (http://www.kevinwarwick.com/) (A well-known celebrity researcher of Artificial Intelligence)

Research Interest

My research interest includes 1) Predictive Modeling, 2) Prognosis Modeling , 3) Incremental Learning,  4) Feature Extraction, 5) Natural Language Processing and 6) Time Series Learning.

***NEW/FORTHCOMING: 2017 Special Issue of Cognitive Computation Journal (ISI-SCI Impact Factor (IF): 1.9) on: “Advances in Biologically Inspired Reservoir Computing” ***  (Co-guest edited with Dr. Simone Scardapane, Sapienza University of Rome, Dr. John B. Butcher, Keele University and Dr. Filippo M. Bianchi, UiT, Tromsø   – http://ispac.diet.uniroma1.it/cognitive-computation-special-issue/)

Industrial Publication

Journal Publications

  • Malik Zeeshan Khawar, et.al., A new recurrent neural network based predictive model for Faecal Calprotectin analysis: A retrospective study, https://arxiv.org/abs/1612.05794 , 2016
  • Malik Zeeshan Khawar, Hussain Amir and Wu Q.M Jonathan , ” Multi-layered Echo State Network: A novel Architecture and Algorithm, Cybernetics, IEEE Transactions on, PP(99) DOI: 10.1109/TCYB.2016.2533545,  2016, (ISI-SCI Impact Factor (IF): 4.95).
  • Malik Zeeshan Khawar, Hussain Amir and Wu Q.M. Jonathan, ” An Online Generalized Eigenvalue Version of Laplacian Eigenmaps for Visual Big Data”, Elsevier Neurocomputing Journal, 173(2), 2016(ISI-SCI IF 2.3).
  • Malik Zeeshan Khawar, Hussain, A. and Wu, Q.M. Jonathan, Extracting online information from Dual and Multiple Datastreams, Neural Computing and Applications (Springer), DOI: 10.1007/s00521-016-2647-3, 2016(ISI-SCI IF: 1.5).
  • Malik Zeeshan Khawar, Hussain Amir, Wu Q.M. Jonathan, (2014), Novel biologically inspired approaches to extracting online information from temporal data, Cognitive computation Journal (Springer), 6(3), 595-607, (ISI-SCI IF 1.9)
  • Malik Zeeshan Khawar, Hussain Amir, Wu Q.M. Jonathan (2015), An online generalized eigenvalue version of Isometric Projection, Knowledge and data Engineering IEEE Transactions on, (Revised Re-submitted), 2015, (ISI-SCI IF 2.476).
  • Malik Zeeshan Khawar, Hussain Amir, Wu Q.M. Jonathan and Yang Yimin, (2015), A neural implementation of Linear Discriminant Analysis with Extreme Learning machine, Neural Network & Learning System IEEE Transactions on, (Accepted with Major Revision), 2015, (ISI-SCI IF: 4.854).
  • Yang, Yimin, Wu, Q. M. Jonathan, Wang, Yaonan, Malik Zeeshan Khawar, LIN, Xiaofeng, & Yuan, Xiaofeng (2014). Data Partition Learning With Multiple Extreme Learning Machines, CyberneticsIEEE Transactions on, DOI: 10.1109/TCYB.2014.2352594, (ISI-SCI Impact Factor (IF): 4.95).
  • Malik Zeeshan Khawar and Fyfe, Colin (2012). Review of Web Personalization. Journal of Emerging Technologies in Web Intelligence, 4(3), 285-296, (HIndex: 10).
  • Malik Zeeshan Khawar, Fyfe Colin and Crowe, Malcolm (2013). Priority Recommendation System in an Affiliate Network. Journal of Emerging Technologies in Web Intelligence,5(3), 222-229, (HIndex: 10)

Conference Publications

  •  Shafqat, Maryam and Malik Zeeshan Khawar, Consumer Behavior in Revenue Management WRT Auction Theory, IADIS International Conference e-Society, Berlin, ISBN (Book): 978-972-8939-51-9, 170-179, 2011.
  • Ali Aitzaz and Malik Zeeshan Khawar, Impact of value proposition of e-commerce by firms on customers adoptability. IADIS International Conference e-Commerce (MCCSIS), Italy, ISBN(Book):  978-972-8939-51-9, 175-179, 2011.
  • Malik Zeeshan Khawar, Connolly Thomas, A new personalized approach in Affiliate Marketing, Conference: IADIS International Conference e-Society 2012, At Berlin, Germany, ISBN:  978-972-8939-67-0, 235-240, 2012.

Other Refereed Contribution

  • Awarded PhD tuition fee-waiver scholarship. Higher Education Commission and University of The Punjab (2011-2013), Pakistan, for a total value of XX,XXX CAD.
  • Teaching Assistant Award, University of The West of Scotland, School of Engineering and Computing (Spring 2013).
  • Fee Discount Scholarship: University of The West of Scotland, (2011-2013), for a total value of XXXX CAD.
  • Nominated for PhD Extra Ordinary Progression Award: University of The West of Scotland (2012), from the School of Engineering and Computing Department, for a total value of XXXX CAD.
  • Nominated for Best Poster, SICSA Cognitive Computation Summer School, University of Stirling, UK, (25-30 August, 2013), for a total value of XXXX CAD.
  • Awarded with traveling funding as contributed speaker in the International Association for development of the Information e-Society Conference, (2012). Total value of XXXX CAD.
  • Senior Research Associateship. University of Windsor and University of Stirling (2013-2014). Electrical and Computer Engineering Department. Total value of XX,XXX CAD.
  • Senior Research Associateship. University of Windsor and University of Stirling (2014-2015). Electrical and Computer Engineering Department. Total value of XX,XXX CAD.
  • Awarded with Bronze Medal in Inter University Software Competition, for an Antivirus Project (2005) at Punjab Institute of Computer Science Campus, Lahore Pakistan.

 Posters

  • SICSA Cognitive Computation Summer School, University of Stirling, 25-30 Aug 2013- Presented poster title: “An online generalized eigenvalue version of Laplacian Eigenmap for Visual Big Data”. (Nominated for Best Poster)
  • The 6th China-Scotland Signal and Image Processing Research Academy (SIPRA) Workshop on Recent Advances in Signal and Image Processing (2015). Presented poster title: “A Novel hierarchical version of Slow Feature Analysis.”.
  • Poster in Science & Technology, University of The West of Scotland, 2012, A New Personalized Approach in Affiliate Marketing.