Kassim is a Senior Lecturer in Applied Statistics/Data Mining, and has been a full-time member of staff of the College of Business, Technology and Enterprise at Sheffield Hallam University since January 2004.
Department of Computing
- Communication and Computing Research Centre
- Cultural Communication and Computing Research Institute
His research interests are in developing enhanced data mining methods for detecting patterns in space-terrestrial phenomena and uncovering their potential impact on human livelihood. He works in interdisciplinary research consortia with a general focus on knowledge discovery from multi-faceted data (KDMD) for tackling global challenges and sustainability.
His recent work include modelling spatio-temporal data dynamics in the big data era and their practical consequences on KDMD; characterising, documenting and archiving distributional properties of clay soil chemicals in Southern Africa and developing a balanced regulatory frameworks for knowledge transfer partnerships (KTP).
His research ethos is built on the foundations of interdisciplinary research – a basis for using science, technology and innovation (STI) in transforming human livelihood through sharing data, technical tools and skills; liaison with policy makers; grooming of young scientists and researchers and the promotion of data open-access.
Kassim has active and long established research collaborations with researchers from various institutions across the world and he is on editorial boards of several international journals and data repositories. He has undertaken a wide range of consulting tasks for various clients across the world - they include developing an innovation index for a high street British bank; a data-driven index for a long term manufacturing strategy of a Gulf-based Engineering firm and a particulate emission index for a large engineering firm in South Yorkshire.
- Isiaka, Fatima: 'Physiological Correlates to Online Behaviour'
- Salem, Mohamed: 'Data Mining Techniques and Breast Cancer Prediction: A Case Study of Libya' - (2007-2012)
- Omar, Taib Mahmoud: 'Stochastic Modelling in Financial Markets: Case Study of the Nigerian Stock Market' - (2007-2012)
- Brain, Alun: 'Strategic Customer Relationship Marketing and Re-Intermediation Models in the Insurance Industry' - (2008-2014)
Mwitondi, K., Said, R.A., & Zargari, S. (2019). A robust domain partitioning intrusion detection method. Journal of information security and applications, 48. http://doi.org/10.1016/j.jisa.2019.102360
Mwitondi, K., & Zargari, S. (2018). An iterative multiple sampling method for intrusion detection. Information Security Journal: A Global Perspective, 27 (4), 230-239. http://doi.org/10.1080/19393555.2018.1539790
Mwitondi, K.S., Al-Kuwari, F.A., Saeed, R.A., & Zargari, S. (2018). A statistical downscaling framework for environmental mapping. Journal of Supercomputing. http://doi.org/10.1007/s11227-018-2624-y
Mwitondi, K., Al Sadig, I., Hassona, R., Taylor, C., & Yousef, A. (2018). Statistical Estimate of Radon Concentration from Passive and Active Detectors in Doha. DATA, 3 (3), 22. http://doi.org/10.3390/data3030022
Taylor, C.C., Yousif, A.E., & Mwitondi, K. (2018). Statistical analysis of particulate matter data in Doha, Qatar. WIT Transactions on Ecology and the Environment, 230, 107-118. http://doi.org/10.2495/air180101
Mwitondi, K., & Khorsheed, E. (2016). A parameter leveraging method for unsupervised big data modelling. Journal of Statistics Applications & Probability, 5 (2), 203-211. http://doi.org/10.18576/jsap/050201
Isiaka, F., Mwitondi, K., & Ibrahim, A.M. (2016). Detection of natural structures and classification of HCI-HPR data using robust forward search algorithm. International Journal of Intelligent Computing and Cybernetics, 9 (1), 23-41. http://doi.org/10.1108/IJICC-08-2015-0029
Isiaka, F., Mwitondi, K., & Ibrahim, A. (2016). Spontaneous extrapolation and detection of stress level based on human computer interaction and physiological response. International Journal of Simulation: Systems, Science and Technology, 17 (32). http://doi.org/10.5013/IJSSST.a.17.32.01
Ekosse, G.E., & Mwitondi, K. (2015). Principal component analysis to evaluate the spatial variation of major elements in kaolin deposit. Bulletin of the Chemical Society of Ethiopia, 29 (1), 41-51. http://doi.org/10.4314/bcse.v29i1.4
Mwitondi, K., Moustafa, R.E., & Hadi, A.S. (2013). A Data-Driven Method for Selecting Optimal Models Based on Graphical Visualisation of Differences in Sequentially Fitted ROC Model Parameters. Data Science Journal, 12 (0), WDS247-WDS253. http://doi.org/10.2481/dsj.WDS-045
Mwitondi, K., & Said, R.A.T. (2013). A data-based method for harmonising heterogeneous data modelling techniques across data mining applications. Journal of statistics applications and probability, 2 (3), 157-162.
Mwitondi, K., Bugrien, J., & Wang, K. (2013). Using optimized distributional parameters as inputs in a sequential unsupervised and supervised modelling of sunspots data. Journal of Software Engineering and Applications, 06 (07), 34-41. http://doi.org/10.4236/jsea.2013.67B007
Mwitondi, K.S., & Said, R.A.T. (2013). A Data-based Method for Harmonising Heterogeneous Data Modelling Techniques Across Data Mining Applications. Journal of Statistics Applications & Probability, 2 (3), 293-305. http://doi.org/10.12785/jsap/020312
Mwitondi, K.S. (2013). Statistical computing in C plus plus and R. JOURNAL OF APPLIED STATISTICS, 40 (4), 916. http://doi.org/10.1080/02664763.2012.749033
Mwitondi, K., & Bugrien, J. (2012). Harnessing data flow and modelling potentials for sustainable development. CODATA Data Science Journal, 11, 140-152. http://doi.org/10.2481/dsj.009-027
Mwitondi, K.S. (2012). Statistical data mining using SAS applications. Journal of Applied Statistics, 39 (10), 2302. http://doi.org/10.1080/02664763.2012.682451
Ekosse, G.I.E., Mwitondi, K., & Seabi, F.T. (2011). Graphical visualisation and domain partitioning ofminerals in clay fraction of soils from CapricornDistrict, South Africa. Africal Journal of Agricultural Research, 6 (2), 467-475.
Mwitondi, K.S. (2011). Interpreting Economic and Social Data. Journal of Applied Statistics, 38 (12), 2994-2995. http://doi.org/10.1080/02664763.2011.583726
Mwitondi, K.S. (2011). BOOK REVIEW. Journal of Applied Statistics, 38 (2), 435. http://doi.org/10.1080/02664760903075580
Mwitondi, K., & Maunda, K. (2010). A consensual approach to domain-partitioning of a cancer data sample space : lessons from Tanzania. African Journal of Science, Technology, Innovation and Development, 2 (2), 51-80. http://www.ajstid.com/
Mwitondi, K. (2010). Science, technology and innovation for development: A proposed framework for implementing integrated knowledge transfer and research and development partnerships. Proceedings of the Second Science with Africa Conference - Addis Ababa, 2010.
Mwitondi, K. (2010). An adaptation of a prototype recursive model for evaluating and predicting micro-macro economic data in Botswana. Botswana journal of economics (BOJEA), 7 (11), 49-64. http://www.ajol.info/index.php/boje/article/viewFile/64203/51998
Ekosse, G.I.E., & Mwitondi, K. (2009). Self-organising feature map (SOFM) algorithms applied to manganese mineralisation in soils close to an abandoned manganese oxide mine. Fresenius Environmental Bulletin, 18 (11A), 2234-2242.
Ekosse, G.I.E., & Mwitondi, K.S. (2009). Self-Organising Feature Map (SOFM) algorithms applied to manganese mineralisation in soils close to an abandoned manganese oxide mine. Fresenius Environmental Bulletin, 18 (11 A), 2234-2242.
Ekosse, G.I.E., & Mwitondi, K. (2009). Multiple data clustering algorithms applied in search of patterns of clay minerals in soils close to an abandoned manganese oxide mine. Applied Clay Science, 46 (1), 1-6. http://doi.org/10.1016/j.clay.2009.06.018
Mwitondi, K. (1998). The scope of optimization models in investment decision-making: is the underdeveloped world skipping the opportunities? African journal of finance and management, 6 (2).
Ekosse, G., & Mwitondi, K. (n.d.). Using Validated Principal Component Analysis (PCA) to elicit on the variations in major elements concentrations in kaolins. Fresenius Environmental Bulletin. http://www.psp-parlar.de/feb_auswahl.asp
Mwitondi, K., Said, R., & Zargari, S. (2017). An Ensemble Method for Intrusion Detection with Conformity to Data Variability. The Annual International Conference on ICT: Big Data, Cloud and Security (ICT-BDCS 2017). http://www.bigdataclouds.org/
Mwitondi, K., & Zargari, S. (2017). A Repeated Sampling and Clustering Method for Intrusion Detection. International Conference in Data Mining (DMIN'17), 91-96. http://csce.ucmss.com/cr/books/2017/LFS/CSREA2017/DMI3482.pdf
Mwitondi, K. (2017). The role of computational intelligence in developing countries: data access, manipulation and interpretation - natural drivers for socio-economic transformation. In Computational Intelligence for Societal Development in Developing Countries (CISDIDC), Sheffield Hallam University, 17 February 2017.
Isiaka, F., Mwitondi, K., & Ibrahim, A. (2016). Automatic Prediction and Detection of Affect State Based on Invariant Human Computer Interaction and Human Physiological Response. Proceedings of International Conference on Computational Intelligence, Modelling and Simulation, 2016-September, 19-25. http://doi.org/10.1109/CIMSim.2015.27
Isiaka, F., Mwitondi, K., & Ibrahim, A. (2015). Window based model for simulation of integrative human physiological response to webpages. 2015 International Conference and Workshop on Computing and Communication, IEMCON 2015. http://doi.org/10.1109/IEMCON.2015.7344472
Mwitondi, K., Wang, K., Dawo, M., Zimming, Z., Said, R., Yu, T., ... Al-Rashdi, M. (2014). Mining space and terrestrial data for natural phenomena predictions and improved human livelihood. In International Conference on Data Sharing and Integration for Global Sustainability, New Delhi, India, 2 November 2014 - 5 November 2014. http://www.scidatacon2014.org/
Mwitondi, K., & Khorsheed, E. (2014). A parameter leveraging method for unsupervised big data modelling. In IEEE International conference on Systems and Informatics, Shanghai, China, 15 November 2014 - 17 November 2014.
Mwitondi, K., Wang, K., Yu, T., El-Gamri, T., Hassona, R., & Khamis, M. (2014). An inter-disciplinary framework for modelling space-terrestrial phenomena in the big data era. In International Conference on Data Sharing and Integration for Global Sustainability (SciDataCon2014), New Delhi, India, 2 November 2014 - 5 November 2014. http://www.scidatacon2014.org/
Said, R., Mwitondi, K., & Al-Rashdi, M. (2014). A spatio-temporal framework for modelling crimes across regions And cultures in the big data era. In International Conference on Data Sharing and Integration for Global Sustainability (SciDataCon2014), New Delhi, India, 2 November 2014 - 5 November 2014. http://www.scidatacon2014.org/
Bugrien, K., Mwitondi, K., & Shuweihdi, F. (2013). A Kernel Density Smoothing Method for Determining an Optimal Number of Clusters in Continuous Data. In International Conference on Computer Methods and Experimental measurements, A Coruna, Spain. http://www.wessex.ac.uk/13-conferences/cmem-2013.html
Mwitondi, K.S., Said, R.T., & Yousif, A.E. (2012). A sequential data mining method for modelling solar magnetic cycles. In Huang, T., Zeng, Z., Li, C., & Leung, C.S. (Eds.) Neural information processing : 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part I, (pp. 296-304). Springer: http://doi.org/10.1007/978-3-642-34475-6_36
Mwitondi, K., Said, R., Yousif, A., Moustafa, R., Wang, K., Zimin, K., & Mmasi, R. (2012). A robust and adaptive approach to modelling physical phenomena. In International Conference on Open Data and Information for a Changing Planet, Taipei, Taiwan, 28 October 2012 - 2012.
Salem, M., & Mwitondi, K. (2011). Predicting breast cancer using combined K-fold cross-validated decision tree models - e-mailed with. In 22nd International CODATA Conference on Scientific Data and Sustainable Development, Stellenbosch, Cape Town, Republic of South Africa, 24 October 2010 - 27 October 2010. http://www.codata2010.com/
Mwitondi, K., & Said, R. (2011). A step-wise method for labelling continuous data with a focus on striking a balance between predictive accuracy and model reliability. In International Conference on the Challenges in Statistics and Operations Research, Kuwait City, 8 March 2011 - 10 March 2011. http://conf.stat.kuniv.edu/
Mwitondi, K., & Bugrien, J. (2010). Harnessing data flow potentials for sustainable applications of Science, Technology and Innovation for African Development. In International CODATA Conference on Scientific Data and Sustainable Development, Cape Town, South Africa, 24 October 2010 - 27 October 2010.
Salem, M., Mwitondi, K., & Ezepue, P. (2010). Using an optimal model derived from a set of K-fold cross-validated decision tree models to predict breast cancer among Libyan women. In Third Academic Symposium of Libyan students - Universities of the UK, Sheffield, 12 June 2010.
Mwitondi, K. (2010). The role of the Diaspora in forging development promoting synergies. In The Second Tanzanian Diaspora Conference, London, 26 March 2010 - 27 March 2010.
Mwitondi, K., & Jiwani, R. (2008). Harnessing the Potentials of Science, Technology and Innovation (STI) through Higher Education for Economic and Social Development. In First Consultative Forum for the Establishment of Nyerere University of Science, Technology and Innovation (NUSTI), Musoma, Tanzania, 2008.
Ezepue, P., & Mwitondi, K. (2006). Functional Education in Statistics and Related Disciplines: Innovative and Reflexive Learning, Teaching and Assessment of Business Intelligence. In Proceedings of the 5th Annual Hawaii International Conference on Statistics, Mathematics and Related Fields; January 16-18, 2006, Honolulu, Hawaii, 16 January 2014 - 18 January 2014. http://www.afrihero.org.uk/pub/2006hawaiiconfwfesinnovativereflexiveltabi.pdf
Ezepue, P., Chigbu, P., & Mwitondi, K. (2006). Workshop on functional education in statistics, mathematics and related fields with emphasis on developing economies. In Proceedings of the 5th Annual Hawaii International Conference on Statistics, Mathematics and Related Fields; January 16-18, 2006, Honolulu, Hawaii, 16 January 2006 - 18 January 2006.
Mwitondi, K., & Ezepue, P. (2006). Searching for Clusters in Data - Implications for Teaching Business Intelligence. In Proceedings of the 5th Annual Hawaii International Conference on Statistics, Mathematics and Related Fields; January 16-18, 2006, Honolulu, Hawaii, 16 January 2014 - 18 January 2014.
Mwitondi, K. (2002). Using boosting in classification. In Proceedings from the 25th annual Research Students Conference in Probability and Statistics, Warwick, 18 March 2002 - 21 March 2002.
Bugrien, J., Mwitondi, K., & Shuweihdi, F. (2014). A kernel density smoothing method for determining an optimal number of clusters in continuous data. In Risk Analysis IX. (pp. 165-178). Wessex Institute of Technology: http://doi.org/10.2495/RISK140151
Mwitondi, K., & Maunda, K. (2012). A Consensual Approach to Domain-partitioning of a Cancer Data Sample Space: Lessons from Tanzania. In Muchie, M., & Angathevar, B. (Eds.) Creating Systems of Innovations in Africa – Country Case Studies. Pretoria, South Africa: Africa Institute of South Africa : Institute for Economic Research on Innovation
Mwitondi, K. (2009). Tracking the potential, development, and impact of informationand communication technologies in sub-Saharan Africa. In Muhongo, S.M., Gudyanga, F.P., Enow, A.A., & Nyanganyura, D. (Eds.) Science, technology and innovation for socio-economic development : success stories from Africa. (pp. 69-86). Pretoria, South Africa: ICSU Regional Office for Africa
Mwitondi, K., & Exepue, P. (2009). How to appropriately manage mathematical model parameters for accuracy and reliability: A case of monitoring levels of particulate emissions in ecological systems. In Ale, S.O., Onumanyi, P., & Oyelami, O.B. (Eds.) Proceedings of the Conference on Mathematical Modelling of Global Challenging Problems in the 21st Century. (pp. 24-36). Abuja, Nigeria: National Mathematical Centre: http://www.academia.edu/2537770/A_model_for_classifying_incidence_rate_of_filariasis_in_a_habitat
Exepue, P., & Mwitondi, K. (2009). Addressing National and Regional Economic Development Goals through Effective Pedagogy of the Mathematical Sciences - Part I (An Example) and Part II (Discussions). In Ale, S.O., Onumanyi, P., & Oyelami, O.B. (Eds.) Proceedings of the Conference on Mathematical Modelling of Global Challenging Problems in the 21st Century. Abuja, Nigeria: National Mathematical Centre: http://www.glosstra.co.uk/docs/nmc_abuja_conference_-_addressing_economic_development_part_i_301008.pdf
Mwitondi, K., Taylor, C., & Kent, J. (2002). Using Boosting in Classification. In Proceedings of the Leeds Annual Statistical Research (LASR) Conference. (pp. 125-128). Leeds: Leeds University Press
Taylor, C.C., & Mwitondi, K. (2001). Robust methods and data mining: in spatial statistics? In Proceedings of the Leeds Annual Statistical Research Conference. (pp. 67-70). Leeds: Leeds University Press
Isiaka, F., Mwitondi, K., & Ibrahim, A.M. (n.d.). A Control System for Detecting Emotions on Visual Interphase Stimulus. In Human-Robot Interaction - Theory and Application. InTech: http://doi.org/10.5772/intechopen.75873
Theses / Dissertations
Isiaka, F. (2017). Modelling stress levels based on physiological responses to web contents. (Doctoral thesis). Supervised by Mwitondi, K.
Brain, A.L. (2014). Strategic customer relationship marketing andre-intermediation models in the insurance industry. (Doctoral thesis). Supervised by Ezepue, P., Mwitondi, K., & Slack, F.
Abdull, M.A.S. (2011). Data mining techniques and breast cancer prediction : A case study of Libya. (Doctoral thesis). Supervised by Ezepue, P., Mwitondi, K., & Slack, F.
Mwitondi, K. (2008). On the role of regulatory and innovative drivers in harnessing available technology for development. Presented at: Invest and Skills Forum, London, 2008
Mwitondi, K., & Ezepue, P. (2005). Images of a perceptive applied computing graduate. Presented at: Proceedings of the LTA conference, Sheffield Hallam University, 2005
Kassim has published extensively in peer-reviewed journals and presented papers at numerous international conferences on topics related to KDMD applications for global sustainability.