Mirlabs
Blessing Ogbuokiri
Blessing Ogbuokiri
York University, Toronto
Regular Member
Personal Web Site: https://www.blessingogbuokiri.com/
Main page: http://www.mirlabs.net/global/index.php?c=main&a=person&id=2045
Short Biography
Dr Blessing Ogbuokiri completed a doctoral degree (Ph.D.) in Computer Science from the School of Computer Science and Applied Mathematics, University of the Witwatersrand (Wits), Johannesburg, South Africa. He has over fifteen (15) years of combined professional experience across a broad range of fields in academia, industry, and community-based organizations. He is a dynamic team player who is eager to utilise his diverse talents to advance in research and innovation. He has a remarkable academic record at all levels of education. He holds the PSYBERGATE Computer Science Alumni Prize for the Best Student Tutor in 2016 at Wits. Currently, he is a postdoctoral fellow and instructor at York University and a recipient of the Google DeepMind AlphaGo AI award. He has gained practitioner-based proficiency in qualitative research, data visualization, machine learning, deep learning, IBM data science, database management, AI ethics and policy, TensorFlow, project management, and module content development. Dr Ogbuokiri has collaborated actively with researchers in several interdisciplinary groups such as the Africa-Canada Artificial Intelligence and Data Innovation Consortium (ACADIC) at York University, Black in AI (BAI)Canadian Black Scientist Network (CBSN), Black Creek Community Health Center (BCHC), and High Performance & Intelligent Computing Group (HiPIC Lab) in using artificial intelligence to help government and local communities to contain and manage the spread of community-based infectious disease outbreaks, such as COVID-19, Malaria, and Monkeypox.
List of top 5 publications in the last 5 years
  1. Ogbuokiri, B. and Raborife, M. (2020). Visual Password Scheme Using Bag Context Shape Grammars. Journal of Information Assurance & Security 15 (2), 2020, 65–75.
  2. Ogbuokiri, B. and Raborife, M. (2019).Bag Context Shape Grammars. IAENG International Journal of Computer Science, 47(1), 2020, 75–86. Scopus.
  3. Ogbuokiri, B. and Raborife, M. (2019). Bag Context Shape Grammar Interpreter: From Theory to Usable Software. Computer-Aided Design & Applications, 17(3), 2020, 458-474. Taylor and Francis.
  4. Udanor, C., Aneke, S., Ogbuokiri, B. (2016) Determining social media impact on the politics of developing countries using social network analytics, Program Electronic Library and Information Systems, Volume 50: Issue 4, 2016. https://doi.org/10.1108/PROG-02-2016-0011
  5. Ogbuokiri, B. and Raborife, M. (2020). The Similarity of Images Generated By Bag Context Shape Grammars. Presented at the 30th Annual Symposium of the Pattern Recognition Association of South Africa and Robotics and Mechatronics International Conference (PRASA-RobMech 2020), 29–31 January, Cape Town, South Africa, IEEE Xplore.
  6. Ogbuokiri, B. and Raborife, M. (2019). Visual Password Scheme Using Bag Context Shape Grammars. Presented at the 19th International Conference on Intelligent Systems Design and Applications (ISDA 2019), 3–5 December, Online, Springer Verleg.
List of top 5 academic activities during the last 5 years
  1. Attended the NeurIPs 2019 conference together with the 3rd Black in AI workshop in Vancouver,Canada.
  2. I was fully funded to attend the 2nd Black in AI workshop at NeurIPs conference Canada, 2018.
  3. I presented a scientific poster at the 2nd Black in AI workshop at NeurIPs conference Canada, 2018.
  4. I was nominated to chair a session at the 9th Wits cross faculty postgraduate Symposium 2018.
  5. I was funded to attend the 2nd Deep Learning Indaba 2018 and I presented a scientific poster at the 2nd Deep Learning Indaba 2018