Dr. Dickson Wornyo is a Lecturer with the School of Technology at BlueCrest College. He earned his MSc. Computer Application Technology from Nanjing University, China and his PhD in Computer Application Technology from Jiangsu University, China. Dr. Dickson has 9 years of teaching experience, and his research interests are in Artificial intelligence, Machine learning and Big data.

Areas of Teaching/ Specialization – Artificial intelligence, Machine learning, Computer security, Database concept and technology, Distributed systems, System analysis and design

Research Area/ Focus - Dr. Dickson’s research interests are in the areas of Artificial intelligence, Machine learning and Big data.

Recent Publications:

• Dickson Keddy Wornyo and Xiang-Jun Shen. Coupled Least Square Support Vector Ensemble Machine. Information. https://doi.org/10.3390/info10060195 June 2019. (ESCI/E.I)
• Yuxuan Wang, Timothy Apasiba Abeo, Liangjun Wang, Dickson keddy Wornyo and Xiang-Jun Shen. Bilinear Factorization via Recursive Sample Factoring for Low-rank Matrix Recovery. June 2019, https://link.springer.com/chapter/10.1007/978-3-030-34113-8_44, 2019: 529-540. (E.I)
• Dickson Keddy Wornyo , Elias Nii Noi Ocquaye, Bright Bediako-Kyeremeh. Coupled Kernel Ensemble Regression, International Journal of Computer Applications, December 2018 Edition, https://www.ijcaonline.org/archives/volume181/number34/wornyo-2018-ijca-918278.pdf. (E.I)
• Dickson Keddy Wornyo, Xiang-Jun Shen, Yong Dong, Liangjun Wang, and Shu-Cheng Huang. Co-regularized Kernel Ensemble Regression. World Wide Web (2018). https://doi.org/10.1007/s11280-018-0576-z, 2018: 1-18. (SCI)
• ChenWei Cai, Dickson keddy Wornyo, Liangjun Wang, Xiang-Jun Shen. Building Weighted Classifier Ensembles Through Classifiers Pruning. Internet Multimedia Computing and Service (2018). https://link.springer.com/chapter/10.1007/978-981-10-8530-7_13, 2018: 131-139. (E.I)
• Y. Dong, Xiang-Jun Shen, Liangjun Wang, Dickson Keddy Wornyo and Z. J Zha. 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)
• Benuwa Ben-Bright, Yongzhao Zhan, Benjamin Ghansah, Richard Amankwah, Dickson Keddy Wornyo and Ernest Ansah. Taxonomy and a Theoretical Model for Feedforward Neural Networks, International Journal of Computer Applications, April 2017 Edition, http://www.ijcaonline.org/archives/volume163/number4/27386-2017913513. (E.I)
• Patrick Kwaku Kudjo, Frank Kataka Banaseka, Dickson Keddy Wornyo. A Survey of New Development in Cyber Security and Networks, Journal of Multidisciplinary Engineering Science and Technology, Jan 2017, http://www.jmest.org/vol-4-issue-1-january-2017/.
• Patrick Kwaku Kudjo, Dickson Keddy Wornyo and Elias Nii Noi Ocquaye. 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)
• Benuwa Ben-Bright, Benjamin Ghansah, Dickson Keddy Wornyo. A Review of Complex Networks, International Journal of Computer Applications, May 2016 Edition, www.ijcaonline.org/archives/volume141/number5/benuwa-2016-ijca-909624.pdf. (E.1)
• Ben Bright Benuwa, Yong Zhao Zhan, Benjamin Ghansah, Dickson Keddy Wornyo, Frank Banaseka KatakaA 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)
• Ben Bright Benuwa, Benjamin Ghansah , Dickson Keddy Wornyo, Sefakor Awurama Adabunu. A Comprehensive Review Particle Swamp Computing, International Journal of Engineering Research In Africa, Vol. 23, pp. 141 – 161, April 2016. https://www.scientific.net/JERA.23.141. (E.I)
• Tinghuai Ma, Hao Cao, Jin Wang, Wei Tian and Keddy Wornyo Dickson. Optimization of Large Scale of Files Transfer in Meteorological Grid, International Journal of Grid and Distributed Computing, Vol. 6, No. 1, February, 2013, www.academia.edu/download/43326060/Research_publications.pdf. (SCI)

PAPERS UNDER REVIEW

• Dickson Keddy Wornyo and Xiang-Jun Shen. Sample-Induced Factorization Kernel Ensemble Regression. International Journal of Machine Learning and Cybernetics. October 2019. (SCI)
• Ben Bright Benuwa, Benjamin Ghansah , Dickson Keddy Wornyo, Ernest Ansah. A review of FeedForward Neural Network. Journal of Multidisciplinary Engineering Science and Technology. (SCI)