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Amer Rasheed

Amer Rasheed

Assistant Professor
  • Department of Software Engineering
  • amer.rasheed@nu.edu.pk
  • (041) 111-128-128
  • Ext: 190

Introduction

I have done my Ph.D. Information and Communication Technology from South Denmark University (SDU), Denmark. My doctorate research focuses on visualization of social networks. I worked to create or re-engineer network visualization features. I proposed certain novel visualization features for investigative analysts.

I have good experience of undergoing off-shore software project development when I worked as Software Test Engineer/ Project Coordinator. I am also a committee member of MISNC (Multidisciplinary International Social Networks Conference).

I have strong experience of conducting research in the field of information visualization and conducted similar research when I studied machine learning and artificial intelligence techniques and proposed a clustering algorithm.  My research papers have been published in IEEE, IEEE/ACM, and Springer. I presented my research at different forums around the world-wide that included Japan, Taiwan, France, Sweden, Malaysia, Saudia, Pakistan, Cambridge (U.K.), and Calgary (Canada).

Education

  • PhD Information & Communication Technology from University of Southern , Denmark (2016)
  • MS Software Engineering from Blekinge Institute of Technology, Sweden (2009)
  • MSc Computer Science from Quaid-i-Azam University, Islamabad, Pakistan (1999)
  • BSc Science from University of the Punjab, Pakistan (1990)

Publications

  • 1. Amer Rasheed and Uffe Kock Wiil, PEVNET: A Framework for Visualization of Criminal Networks, in Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014), IEEE Computer Society Press, pp. 876–881, 2014.

  • 2. Amer Rasheed and Uffe Kock Wiil, Novel Visualization Features of Temporal Data Using PEVNET, in Multidisciplinary Social Networks Research: International Conference, MISNC 2014, Springer, pp. 228–241, 2014.

  • 3. Amer Rasheed and Uffe Kock Wiil, Visualizing Criminal Networks with PEVNET, The Maersk Mc-Kinney Moeller Institute, University of Southern Denmark, Odense, Denmark. Submitted for publication, unpublished manuscript.

  • 4. Amer Rasheed, Azween Abdullah, and Uffe Kock Wiil, Novel Composite Visualization Features in PEVNET, in Proceedings of the BIDMA 2016, Calgary, Canada, 2016.

  • 5. Amer Rasheed and Uffe Kock Wiil, Evaluating PEVNET: A Framework for Visualization of Criminal Networks, in Proceedings of the 2nd International Multidisciplinary Social Networks Research Conference, The Maersk Mc-Kinney Moeller Institute, University of Southern Denmark, Odense, Denmark, 2015.

  • 6. Amer Rasheed and Uffe Kock Wiil, Evaluating Criminal Networks with PEVNET, in Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2015), IEEE Computer Society Press, 2015.

  • 7. Amer Rasheed and Uffe Kock Wiil, A Tool for Analysis and Visualization of Criminal Networks, in Proceedings of the 17th UKSIM-AMSS International Conference on Modelling and Simulation, IEEE Computer Society Press, pp. 97–102, 2015.

Collaborations at National and International Level

Detail of Funded Projects