About

I am currently a Postdoctoral Fellow at the Big-Data Analytics and Management Laboratory (BAM Lab) of the School of Computing at Queen’s University, Kingston, ON, Canada. I work on the topic “A Multilevel Streaming Data Analytics Infrastructure for Predictive Analytics” under the supervision of Dr Farhana H. Zulkernine. Prio to joining BAM @Queen’s, I completed the following studies, PhD in 2017 at the Artificial Intelligence Research Group, University of Bradford, UK under the supervision of Professor Daniel Neagu and Dr Paul Trundle; MSc., Software Engineering in 2012 from the then School of Computing Informatics and Media (SCIM) University of Bradford, UK and B. Eng. in Electrical and Electronics Engineering, University of Maiduguri in 2008.

Haruna

My current research interest includes the following:

  • Text Mining
  • Sentiment Analysis
  • Social Media and Network Analysis
  • Machine Learning
  • Big Data Analytics and Infrastructure
  • Streaming Data Analytics

isah(at)cs(dot)queensu(dot)ca
hisah(at)acm(dot)org
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Talks and Presentations

  • Crime Intelligence Research: My PhD Experience; University of Bradford School of Electrical Engineering and Computer ScienceResearch Seminar Presentation Slides
  • Social Media Mining for Crime Intelligence; University of Bradford School of Electrical Engineering and Computer Science Research Seminar Presentation Slides
  • University of Bradford ACM Student Chapter; Post Graduate Research (PGR) Induction Presentation Slides
  • Bipartite Network Model for Inferring Hidden Ties in Crime Data; ASONAM/FOSINT-SI 2015, Paris, France. Paper Presentation Slides
  • Sentiment Analysis of User-Generated Contents for Pharmaceutical Product Safety; MLCI-2015 Summer School, Genova, Italy. Research Talk Slides
  • Research Opportunities and Challenges in Big Data: BigDat2015 Lessons; University of Bradford ACM Chapter Talk Slides
  • Understanding ACM Student Member and Chapter Benefits; University of Bradford ACM Chapter Talk Slides
  • Social Media Analysis for Combating Counterfeit Products; Bradford, UK. Progression to PhD Presentation Slides
  • Social Media Analysis for Product Safety Using Text Mining and Sentiment Analysis; UKCI2014, Bradford, UK. Paper Presentation Slides

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