kca@kca.ac.ke tel: +254 719 034 333

Dr. Simon Mwendia


Senior Lecturer & Chair Department of Software Development & Information Systems

E-mail Address



+254 (0) 721 324 236

Academic Qualification

  • PhD in Computer Science,
  • Msc Information Systems,
  • BA(Econ, Maths, Socio)

Membership of Professional Bodies/Associations

  • ABMA UK,


Dr. Simon Nyaga Mwendia is a lecturer in the Faculty of Computing and Information Management. He has served in the faculty since 2008 where he has held several positions. He was faculty research coordinator from 2010 to 2012 and has been the Head of Software Department and information systems since 2018. In his role as HOD, Dr. Mwendia guides postgraduate student’s research projects and assist the Dean in formulating and reviewing academic programs, among other tasks

He has a Masters in Information Systems (Artificial Intelligence) and a PhD in Computer Science from University of Nairobi. He received an in-country DAAD scholarship that enabled him to study in Germany as part of doctoral studies. His areas of interest include mobile applications development and ambient intelligence technologies for learning support. Dr. Mwendia is a published scholar; his publications include six conference papers published by IEEE Xplore and ACM Digital Libraries, two book chapters published by IG Global publishers and one peer reviewed journal paper. He is also project coordinator of Kenya-Norway mobility program with Stavanger University in Norway (KeNoMo,http://kenomosite.com/). The project aims to improve the quality and internationalization of computer science education at partner institutions including KCA University, University of Nairobi, Linking Industry with Academia (LIWA) in Kenya and University of Stavanger in Norway

Research Interest

  • Ambient learning,
  • Big Data,
  • Data Science and Computational thinking

Research Topics

  • Computer Science,
  • Artificial Intelligence,
  • mobile applications development

Academic Background


  • Data Mining,
  • Artificial intelligence,
  • Data Analytics,
  • Machine learning,
  • Programming

Conferences & Chapters

Journal Papers

1. Mwabela N.K&Mwendia.S.N(2019), Digitization Impact Assessment Model for Secondary Schools: Case of Nairobi County in Kenya. Advances in Science, Technology and Engineering Systems Journal Vol. 2, No. 1. Page No 194-197, DOI: 10.25046/aj040326 Web link: https://astesj.com/v04/i03/p26/#1477473002986-f8da9163-4402

Conference papers

1. Mwendia(2018), Evaluation Model for Improving Ambient Learning Systems Towards Achieving Sustainable Development Goal Four, Paper presented at the 5th International Conference on soft Cmputing and Machine Intelligence (ISCMI2018),Nairobi, Kenya: IEEE URL: https://ieeexplore.ieee.org/document/8703251

2. Karanja, R., & Mwendia,.S.N.(2018), Ambient learning – Knowledge as a Service Model: Towards the Achievement of Sustainable Development Goal four, paper to be presented at the IST-Africa 2018 Conference Proceedings, Gaborone, Botswana: IEEE URL: https://ieeexplore.ieee.org/document/8417360

3. Mwendia, S., Oboko, R., Waiganjo, P., 2016. Dynamic Heuristics – Greedy Search: A Mobile Information Retrieval Algorithm for Ambient Learning Systems,Nairobi, Kenya: ACM URL: dl.acm.org/citation.cfm?id=2998586&dl=ACM&coll=DL

4.Mwendia, S.N., Manske,S.& Hoppe,U.(2014),Supporting E-Learning in Computer-poor Environments by Combining OER, Cloud Services and Mobile Learning. Paper presented at the 22nd ICCE2014 Conference, Nara, Japan. (545-550), ICCE 2014 Organizing Committee, Japan ISBN 978-4-9908014-1-0 URL:http://icce2014.jaist.ac.jp/icce2014/wp-content/uploads/2014/12/ICCE2014-Main- Proceedings-lite-1.pdf.

5. Mwendia.S.N, Buchem I.,2014,’Open mobile ambient learning: The next generation of mobile learning for mobile-rich but computer-poor contexts, Paper presented at UNESCO Mobile Learning Week 2014,Paris-France: UNESCO URL: http://www.unesco.org/new/fileadmin/MULTIMEDIA/HQ/ED/pdf/R9WAMB2-SimonNyaga-KCAUniversity.pdf. http://www.unesco.org/new/en/unesco/themes/icts/m4ed/unesco-mobile-learning-week-2014/symposium/breakout-sessions/open-mobile-ambient-learning/

6. Mwendia, S., Waiganjo, P., Oboko, R., 2013. 3-Category Pedagogical Framework for Context Based Ambient Learning. Paper presented in: IST-Africa 2013 Conference Proceedings. Nairobi, Kenya. IEEE, ISBN:978-1-905824-38-0. Can be retrieved from: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6701749&url=http%3A%2F%2Fieeexplore.ieee.org%2Fstamp%2Fstamp.jsp%3Ftp%3D%26arnumber%3D6701749.

Book Chapters

1. Mwendia, S., Wagacha, P.W., Oboko, R., 2014. Ambient Learning Conceptual Framework for Bridging Digital Divide in Higher Education, in J. Keengwe(Ed.), Promoting Active Learning through the Integration of Mobile and Ubiquitous Technologies(243-273), Hershey, PA: IGI Global. doi:10.4018/978-1-4666-6343-5. can be retrived from: http://www.igi-global.com/chapter/ambient-learning-conceptual-framework-for-bridging-digital-divide-in-higher-education/115479

2. Mwendia, S., Wagacha, P.W., Oboko, R., 2014. Culture Aware M-Learning Classification Framework for African Countries.In S..J. Keengwe, G Schnellert & K Kungu (eds): Cross-Cultural Online Learning in Higher Education and Corporate Training (98-111). IGI Global. Pennsylvania,USA. . DOI: 10.4018/978-1-4666-5023-7.ch005. Can be retrieved from: http://www.igi-global.com/chapter/culture-aware-m-learning-classification-framework-for-african-countries/92440

Research Grants

KENOMO Project (http://kenomosite.com/)


Mwendia,S.N.(2016). Ambient Learning Model for Research Project supervision Support: An application of Mobile phone – centric ambient intelligence Technologies in ‘mobile rich’ Universities(Doctoral dissertation). University of Nairobi. can retrieved from https://pdfs.semanticscholar.org/a1e7/a9601dc43f67ab9931b9023129e6e3d7b6f9.pdf

Dr. Simon Mwendia
+254 (0) 721 324 236