Dr Usman Qamar

DrUsmanQamarEducation

  • Post-Doc, University of Manchester, UK, 2011
  • PhD, University of Manchester, UK, 2008/09
  • MPhil, University of Manchester, UK, 2005
  • MS, University of Manchester Institute of Science and Technology (UMIST), UK, 2003
  • B.E, National University of Sciences and Technology (NUST), Pakistan, 2001

Professional Profile

  • Present: Tenured Associate Professor, National University of Sciences and Technology (NUST), Pakistan
  • 2018-Present: Joint Director, Digital Pakistan Lab, National Centre of Big Data and Cloud Computing, Pakistan
  • 2011-Present: Director, Knowledge and Data Science Research Centre, National University of Sciences and Technology (NUST), Pakistan
  • 2009-2011:  Post Doc Researcher , University of Manchester, UK
  • 2005-2009:  Teaching Assistant, University of Manchester, UK
  • 2003-2005:  Lab Demonstrator, University of Manchester Institute of Science and Technology (UMIST), UK

Biography:  Dr Usman Qamar has over 15 years of experience in data engineering and decision sciences both in academia and industry having spent nearly 10 years in the UK. He has a Masters in Computer Systems Design from University of Manchester Institute of Science and Technology (UMIST), UK. His MPhil in Computer Systems was a joint degree between UMIST and University of Manchester which focused on feature selection in big data. In 2008/09 he was awarded PhD from University of Manchester, UK. His PhD specialization is in Data Engineering, Knowledge Discovery and Decision Science. His Post PhD work at University of Manchester, involved various research projects including hybrid mechanisms for statistical disclosure (feature selection merged with outlier analysis) for Office of National Statistics (ONS), London, UK, churn prediction for Vodafone UK and customer profile analysis for shopping with the University of Ghent, Belgium. He has also done a post graduation in Medical & Health Research, from University of Oxford, UK, where he worked on evidence-based health care, thematic qualitative data analysis and healthcare innovation and technology. He is currently Associate Professor of Data Engineering at National University of Sciences and Technology (NUST) Pakistan and director of Knowledge and Data Science Research Centre, a Centre of Excellence at NUST, Pakistan. He has authored over 200 peer reviewed publications which includes 21 Book Chapters, 40+ Impact Factor Journal Publications with a combined impact factor of over 120 (Clarivate Analytics Impact Factor) and over 100 Conference Publications. He has also written 3 books which have all been published by Springer & Co which includes a textbook on Data Science. Many of his papers have been awarded best research paper awards by Higher Education Commission, Pakistan. Because of his extensive publications he is member of Elsevier Advisory Panel as well as  on the Editorial Board of some of the most prestigious journals including Applied Soft Computing, Neural Computing and Applications, Computers in Biology and Medicine and Array. He has successfully supervised 5 PhD students and over 80 master students. Dr. Usman has been able to acquire nearly PKR 100 million in research grants. He has received multiple research awards, including Best Book Award 2017/18 by Higher Education Commission (HEC), Pakistan, Best Researcher of Pakistan 2015/16 by Higher Education Commission (HEC), Pakistan, Best Overall NUST University Researcher Award 2016 and Best College of E&ME researcher award 2016 as well as gold in Research & Development category by Pakistan Software Houses Association (P@SHA) ICT Awards 2013 & 2017 and Silver award in APICTA (Asia Pacific ICT Alliance Awards) 2013 in category of R&D hosted by Hong Kong. He is a fellow of Charles Wallace, British Council and Engineering and Physical Sciences Research Council (EPSRC)-UK. He is also an expert committee member of engineering & technology for the evaluation/recognition of national research journals for Higher Education Commission (HEC), Pakistan. Finally, he is honorary research fellow at University of Oxford, UK and visiting research fellow, University of Manchester, UK & University of Leeds, UK.

Email: usmanq@ceme.nust.edu.pk

Publications

  • 3 Books
  • 21 Book Chapters
  • 38 Impact Factor Journal* Publications (121.139 Combined Impact factor*)  *The Clarivate Analytics Impact Factor
  • 100+ Conference Publications
  • 2 Technical Report

Books

  • Textbook on Data Science Concepts & Techniques with Applications, published by Springer & Co, 2020
  • Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications, Second Edition, published by Springer & Co, 2019
  • Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications, First Edition, published by Springer & Co, 2017

Editorial Duties

Patents

  • Application no: GB1614565.8 (applied with Intellectual Property Office, UK)
  • Application no: GB1700667.7 (applied with Intellectual Property Office, UK)

Supervision

  • 5 PhD students successfully supervised
  • 85 MS students successfully supervised

Funding

  • Higher Education Commission/Planning Commission: PKR 88.4 Million
  • Ignite: PKR 9.8 Million

International  Awards

  • British Council Fellow 2018
  • Charles Wallace Fellow 2016/17
  • Finalist of the British Council’s International Professional Achievement Award 2016/17
  • Silver award in APICTA (Asia Pacific ICT Alliance Awards) 2013 in category of R&D
  • Engineering and Physical Sciences Research Council (EPSRC), UK Fellow

National Awards

  • Best Book Award 2017/18 at 7th Outstanding Research awards by Higher Education Commission (HEC), Pakistan
  • Best Researcher of Pakistan 2015/16 at 6th Outstanding Research awards by Higher Education Commission, Pakistan
  • Two best research paper awards at 6th Outstanding Research awards by Higher Education Commission, Pakistan
  • Best overall NUST University Researcher Award 2016
  • Best NUST College of E&ME, Researcher Award 2016/17,
  • Gold in Research & Development category by Pakistan Software Houses Association (P@SHA) ICT Awards 2017
  • Gold in Research & Development category by Pakistan Software Houses Association (P@SHA) ICT Awards 2013

Publications

2020