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Dr. Dickson Keddy Wornyo

Lecturer
Faculty: I.T. & Communication Studies
Department: Information Technology Studies
Academic Area(s): Artificial Intelligence, Database Management Systems, Machine Learning, Computer Security, Geo-Information System, Programming
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Dickson Keddy is an academic and a professional in Computer Science (Machine Learning). As an academic, his teaching areas include Geo-information Systems, Programming, Introduction to Information Technology, and Database Management Systems. His research interests are in Machine Learning, Artificial Intelligence, Big Data and Computer Security.

As a Machine learner specialist with over 8 years’ experience, Dickson has provided consultancy services in planning and development models and systems, implementation, strategies and policy development, ensemble learning and training/workshops.

Academic Degrees
•PhD in Computer Science, Jiangsu University, China, 2019
•MSc in Computer Science, Nanjing University of Science and Technology, China, 2011
•BSc in Computer Science, Data Link University,2008

Professional Experience
•Lecturer, Faculty of IT and Communication Studies
•IT Consultant, Hyssop Technologies (2015 – date)
•Lecturer, Blue Crest College. (2019 – 2020)
•Lecturer, Data Link University (2012 – 2016)

Selected Publications (presented from the most recent to the earliest) br> Refereed Journal Articles
(1)Wornyo, D.K. & Shen, X. J. (2019). Coupled least square support vector ensemble machine. https://doi.org/10.3390/info10060195. (ESCI/E.I)
(2)Wang, Y., Abeo, T. A. L., Wang, L., Wornyo, D. K. & Shen, X. J. (2019). Bilinear factorization via recursive sample factoring for low-rank matrix recovery. https://link.springer.com/chapter/10.1007/978-3-030-34113-8_44, 2019: 529-540. (E.I)
(3)Wornyo, D. K., Ocquaye, E. N. N. & Bediako-Kyeremeh, B. (2018). Coupled kernel ensemble regression. International Journal of Computer Applications. https://www.ijcaonline.org/archives/volume181/number34/wornyo-2018-ijca-918278.pdf. (E.I)
(4)Wornyo, D. K., Shen, X. J., Dong, Y. Wang, L. & Huang, S. C. (2018). Co- regularized kernel ensemble regression. World Wide Web https://doi.org/10.1007/s11280-018-0576-z, 2018: 1-18. (SCI)
(5) Cai, C. W., Wornyo, D. K., Wang, L., & Shen, X. J. (2018). Building weighted classifier ensembles through classifiers pruning. Internet Multimedia Computing and Service. https://link.springer.com/chapter/10.1007/978-981-10-8530-7_13, 2018:131-139. (E.I)
(6) Ben-Bright, B., Zhan, Y., Ghansah, B. Amankwah, R., Wornyo, D.K. & Ansah, E. (2017). Taxonomy and a theoretical model for feedforward neural networks. International Journal of Computer Applications. http://www.ijcaonline.org/archives/volume163/number4/27386-2017913513. (E.I)
(7) Kudjo, P. K., Banaseka, F. K. & Wornyo. D. K. (2017). A survey of new development in cyber security and networks. Journal of Multidisciplinary Engineering Science and Technology. http://www.jmest.org/vol-4-issue-1-january-2017/.
(8) Kudjo, P. K., Wornyo, D. K. & Elias Nii Noi Ocquaye, E, N. N. (2016). Importance of information security education and awareness in Ghana, Communications on Applied Electronics (Foundation of Computer Science). http://www.caeaccess.org/archives/volume6/number6/699-2016652479. (E.I)
(9) Ben-Bright, B., Ghansah, B. & Wornyo, D. K. (2016). A review of complex networks. International Journal of Computer Applications. www.ijcaonline.org/archives/volume141/number5/benuwa-2016-ijca-909624.pdf. (E.1)
(10) Ben-Bright, B., Zhan, Y. Z., Ghansah, B. Wornyo, D. K. & Kataka, F. B. (2016). A review of deep machine learning. International Journal Of Engineering Research In Africa. 10.4028/www.scientific.net/JERA.24.124, Vol. 24, pp. 124-136, 2016. (E.I)
(11) Ben-Bright, B., Ghansah, B., Wornyo, D. K. & Adabunu, S. A. (2016). A comprehensive review particle swamp computing. International Journal of Engineering Research In Africa, vol. 23, pp. 141 – 161. https://www.scientific.net/JERA.23.141. (E.I)
(12) Ma, T., Cao, H., Wang, J., Tian, W. & Dickson,D. K. (2013). Optimization of large scale of files transfer in meteorological grid. International Journal of Grid and Distributed Computing, vol., No. 1, www.academia.edu/download/43326060/Research_publications.pdf. (SCI)

Conferences (Published Papers)
(1) Dong, Y., Shen, X. J., Wang, L., Wornyo, D. K. & Zha, Z. J. (2017). Diversity-induced weighted classifier ensemble learning. IEEE International Conference on Image Processing. (ICIP) 2017. https://doi.org/10.1109/ICIP.2017.8296478, 2017: 1232-1236. (E.I)

Professional Conferences & Workshops
•2019: 8th Sino International Postgraduate Conference, University of Jiangsu, China
•2018: Co-Learning: (Machine learning – Data Mining – Multivariate Stat.), Open Data science school, Paris, France.
•2018: Internet-Of-Things Sensemakers (New features in Driverless AI and H20-3) , Amsterdam,
•2018: Meetup Computer Vision Paris – France.
•2018: Tokyo Machine Learning Kitchen - Japan.
•2018: A 1-day Workshop organized by the Quality Assurance Directorate, DLI on student supervision.
•2018: 6th Life builder Conference, University of Jiangsu, China
•2018: 7th Sino International Postgraduate Conference, University of Jiangsu, China
•2017: A 4-day Workshop organized by the Ministry of Communication on Cyber Security, Accra International Conference Center.

Subject Areas (Teaching)
Undergraduate level
•Programming
•Introduction to Information Technology
•Geo-information systems
Professional Membership & Affiliations
•Member, Institute of Management Information Systems (IMIS), London
•Member, University Teachers’ Association of Ghana (UTAG)