Haruna Isah
University of Bradford,UK, Computing, Graduate Student
- Haruna Isah studied Electrical and Electronics Engineering between 2002 and 2008 at the University of Maiduguri, Nigeria and obtained his MSc. in Software Engineering at the Uni... moreHaruna Isah studied Electrical and Electronics Engineering between 2002 and 2008 at the University of Maiduguri, Nigeria and obtained his MSc. in Software Engineering at the University of Bradford, United Kingdom in 2012. He has worked as a prototype developer with PEEMADI, a research institute of National Agency for Science and Engineering Infrastructure (NASENI) in Nigeria and currently working as an Assistant Lecturer with the department of Electrical and Computer Engineering, Federal University of Technology Minna, Nigeria. He has authored a book “Full Data Controlled Web Based Feed Aggregator” available in morebooks and amazon online stores. He is a Professional member of ACM, IEEE and the Computer society of IEEE.edit
Certain crimes are hardly committed by individuals but carefully organised by group of associates and affiliates loosely connected to each other with a single or small group of individuals coordinating the overall actions. A common... more
Certain crimes are hardly committed by individuals but carefully organised by group of associates and affiliates loosely connected to each other with a single or small group of individuals coordinating the overall actions. A common starting point in understanding the structural organisation of criminal groups is to identify the criminals and their associates. Situations arise in many criminal datasets where there is no direct connection among the criminals. In this paper, we investigate ties and community structure in crime data in order to understand the operations of both traditional and cyber criminals, as well as to predict the existence of organised criminal networks. Our contributions are twofold: we propose a bipartite network model for inferring hidden ties between actors who initiated an illegal interaction and objects affected by the interaction, we then validate the method in two case studies on pharmaceutical crime and underground forum data using standard network algorithms for structural and community analysis. The vertex level metrics and community analysis results obtained indicate the significance of our work in understanding the operations and structure of organised criminal networks which were not immediately obvious in the data. Identifying these groups and mapping their relationship to one another is essential in making more effective disruption strategies in the future.
Research Interests:
Research Interests: Marketing, Information Science, Information Technology, Cardiology, Communication, and 24 moreHealth Promotion, Educational Technology, Medical Informatics, International Business, International Trade, Learning and Teaching, Developing Countries, International Cooperation, Access To Information, Information and Communication technology, Cardiovascular disease, Humans, Instructional media design, Developing Country, Business and Management, Health Professionals, Empirical Study, Cross Section, Teaching Business English, Curriculum and Pedagogy, Infection prevention and control, Cardiovascular Diseases, Information Need, and Health Personnel
Web feed syndication is analogous to electronic newsletters, both are aimed at delivering feeds to subscribers; the difference is that while newsletter subscription requires e-mail and exposed users to spam and several security... more
Web feed syndication is analogous to electronic newsletters, both are aimed at delivering feeds to subscribers; the difference is that while newsletter subscription requires e-mail and exposed users to spam and several security challenges, feed syndication ensures that subscribers get only what they requested for. This research investigate the state of the art of web feed aggregation technology and the development of a locally hosted or intranet based feed aggregator as a tool for getting news update, research, information sharing, rapid alert, product promotion and advertising using the core features of WordPress; the software was further enhanced with plugins and widgets for user management, dynamic content publishing, database and object caching, social web syndication, mobile device detection, back-up and maintenance. The results highlight the current developments in software re-use and describes; how open source content management systems can be used for both online and offline publishing, a means whereby feed aggregator users can control and share feed data, as well as how web developers can focus on extending built-in software libraries rather than re-inventing the wheel.