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School of Information Technology and Computing

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Assistant Professor, Computer Science

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Ph.D, University of Cincinnati, USA

Augustine Nsang earned his PhD in Computer Science from the University of Cincinnati, Ohio State, U.S.A. He holds a BSc in Joint Honors Computer Science/Mathematics from the University of Keele (Gt Britain), and an MSc in Foundations of Artificial Intelligence from the University of Bristol (Gt Britain). Dr Nsang has taught as an Assistant Lecturer of Computer Science at the University of Buea (Cameroon) for eight years (1993 – 2001), and has worked at the University of Cincinnati as a teaching/research assistant and as a Math tutor for four years while pursuing his doctoral degree. He has been teaching at the American University of Nigeria since September 2011.

  • Principles of Programming I
  • Principles of Programming II
  • Data Structures and Algorithms
  • Discrete Mathematical Structures
  • Logic in Computer Science
  • Design and Analysis of Algorithms
  • Programming Languages and Labs
  • Technical Report Writing
  • Theory of Computation
  • Artificial Intelligence

 

Dimensionality Reduction, Artificial Intelligence/Machine Learning

 

  • Augustine S. Nsang and Anca Ralescu. A Review Of Dimensionality Reduction Methods And Their Applications.  In Proceedings of the Twentieth Midwest Artificial Intelligence and Cognitive Science Conference, 118-123, 2009.
  • Augustine S. Nsang and Anca Ralescu. Query-Based Dimensionality Reduction Applied To Text and Web Data.  In Proceedings of the Twentieth Midwest Artificial Intelligence and Cognitive Science Conference, 129-136, 2009.
  • Augustine S. Nsang and Anca Ralescu. A Study of Dimensionality Reduction. In Proceedings of the Twenty-Second Midwest Artificial Intelligence and Cognitive Science Conference, 30-37, 2011.
  • Augustine Nsang. Novel Approaches to Dimensionality Reduction: An Empirical Study. Lambert Academic Publishing,  Saarbrücken, Germany, 2011.
  • Augustine S. Nsang and Apkar Salatian. Data Reduction of ICU Data Using a Random Selection Approach. International Journal of Advanced Science and Technology, vol 55, (2013), pp. 81-88.

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