Dr. Vincent M. Nofong

ACADEMIC DEGREES EARNED

  1. Ph.D. Computer and Information Science, 2016.
  2. BSc. (Hons) Electrical and Electronic Engineering, 2010.
     

INSTITUTIONS ATTENDED

  1. School of Information Technology and Mathematical Sciences, University of South Australia, Adelaide (2012 - 2016).
  2. University of Mines and Technology, Tarkwa, Ghana (2006 - 2010)
     

PROFESSIONAL BODY MEMBERSHIP

  1. Associate Member, Australian Computer Society (2016 to Date)
  2. Professional Member, Association for Computing Machinery (2015 to Date)
     

AWARDS

  1. Best Student Paper, 39th Australasian Computer Science Conference, 2016.
  2. University of South Australia President's Scholarship, 2012 - 2016.
  3. UMaT/GETFund Postgraduate Scholarship, 2012 - 2016.

 

RESEARCH INTERESTS

Data mining, Machine learning, Pattern mining, Trend prediction, Classification, and Bioinformatics.

 

CURRENT RESEARCH PROJECTS

  1. Algorithms to discover emerging and decaying patterns and their applications
  2. Algorithms to discover periodic frequent patterns in transactional database and their applications

 

PROFESSIONAL SERVICES

  1. Reviewer, Decision Support Systems, 2017.
  2. Reviewer, Asian Conference on Intelligent Information and Database Systems, 2016.
  3. Reviewer, Advances in Social Network Analysis and Mining, 2013.
  4. Reviewer, Advances in Artificial Intelligence, 2012.

 

REFEREED PUBLICATIONS

Journal Publications

  1. Nofong Vincent Mwintieru. "Discovering Productive Periodic Frequent Patterns in Transactional Databases". Annals of Data Science, 3(3): 235-249, April 2016.
     

Conference Publications

  1. Nofong, Vincent Mwintieru. "Fast and Memory Efficient Mining of Periodic Frequent Patterns". Modern Approaches for Intelligent Information and Database Systems (pp. 223-232). Springer, Cham, March 2018 
  2. Nofong Vincent Mwintieru. "EDTrend: A Methodology for Trend Prediction with Emerging and Decaying Patterns". Proceedings of the Australasian Computer Science Week Multiconference (ACSW '16). ACM, New York, USA, Article 19, February 2016. Best Student Paper Award
  3. Nofong Vincent Mwintieru, Liu Jixue, Li Jiuyong. "Efficient Mining of Non-derivable Emerging Patterns". Databases Theory and Applications, LNCS, vol. 9093, pp. 244–256, Springer, Heidelberg, 2015.
  4. Nofong Vincent Mwintieru. "Mining Productive Emerging Patterns and Their Application in Trend Prediction". Proceedings of the 13th Australasian Data Mining Conference, CRPIT vol. 168, pp. 109-117, ACS, August 2015.
  5. Nofong Vincent Mwintieru. "Discovering Productive Periodic Frequent Patterns in Transactional Databases". Data Science, LNCS, vol. 9208, pp. 141-150, Springer, Heidelberg, 2015.
  6. Nofong Vincent Mwintieru, Liu Jixue, Li Jiuyong. "A Study on the Applications of Emerging Sequential Patterns". Databases Theory and Applications, LNCS, vol. 8506, pp. 62–73. Springer, Heidelberg, 2014.