Mr Rushil Raghavjee

Mr Rushil Raghavjee
Post Graduate Centre, G16
Information Systems and Technology


Employed at UKZN from 2005, have taught at 1st, 2nd, 3rd, and Honours years levels as well as research supervision at Honours and Masters level.  

Academic Qualifications

  • B.Sc. Information Technology (Computer Science and Business Information systems) 
  • B.Sc. Hons Business Information Systems 
  • M.Sc. Computer Science 

Research Interests

  • Artificial Intelligence (Genetic Algorithms) 
  • Programming 
  • Systems Analysis and Design 
  • Data Analytics 
  • Teaching and Learning 

Publications and Papers

  • Quilling RD, Price CS, Raghavjee R.  Disruptions and delays: Lecturers’ experiences of moving an Information Systems module online.  In Academic voices: A conversation on new approaches to teaching and learning in the post-COVID world.  Cambridge MA: Elsevier.  Pages 337-350. 2022. 
  • Marimuthu M, Raghavjee R, Kumar D, Narsai N, Maharajh N.  Investigating Students Experience of Online Learning of Programming During the Covid-19 Pandemic.  In Proceedings of EDULEARN21.  Online Conference, July 2021. 
  • Raghavjee R, Subramaniam PR, Govender I.  Learning Analytics in Higher Education.  In Perspectives on ICT4D and Socio-Economic Growth Opportunities in Developing Countries.  IGI Global.  Pages 398-431. 2021. 
  • Faloye, T, Ajayi N, Raghavjee R, Faniran V.  Managing the Challenges Facing the Adoption of E-books: A Case of UKZN.  In Proceedings of 2020 International Conference of Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD).  Durban, South Africa.  August 2020. 
  • Faloye T, Ajayi N, Raghavjee R.  Managing the Challenges of the Digital Divide Among First Year Students: A Case of UKZN.  In Proceedings of IST-Africa 2020, Online Conference.  May 2020. 
  • Soloman Z, Ajayi N, Raghavjee R, Ndayizigimaye P. Lecturers’ Perceptions of Virtual Reality as a Teaching and Learning Platform. In ICT Education: 47th Annual Conference of the Southern African Computer Lecturers’ Association (SACLA) 2018, Revised Selected Papers. Gordon’s Bay, South Africa. Pages 300-312. June 2018. 
  • Raghavjee R, and Pillay, N. A Genetic Algorithm Selection Perturbative Hyper-Heuristic for Solving the School Timetabling Problem. In ORiON Volume 31, No. 1. (2015) 
  • Raghavjee, R and Pillay, N. A Study of Genetic Algorithms to Solve the School Timetabling Problem. Published in Proceedings of the Mexican International Conference of Artificial Intelligence (MICAI) 2013. Mexico City, Mexico. November 2013. 
  • Raghavjee, R and Pillay, N. A Comparative Study of Genetic Algorithms Using a Direct and Indirect Representation in Solving the School Timetabling Problem. Published in Proceedings of the Operations Research Society of South Africa (ORSSA) 2013. Stellenbosch, Western Cape. October 2013. 
  • Raghavjee, R and Pillay N. A Comparison of Genetic Algorithms and Genetic Programming in Solving the School Timetabling Problem. Published in the proceedings of Nature and Biologically Inspired Computing (NaBIC) 2012. Mexico City, Mexico. Pages 98-103. November 2012.