Dr. Blessing 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 obtained advanced trainings in machine learning, deep learning, IBM data science, database management, AI ethics and policy, TensorFlow, project management, etc.
He is a lecturer at the Department of Computer Science, University of Nigeria, Nsukka (UNN). He has over fifteen years of work experience in academia, the software, and IT industries. He has managed teams and made many group decisions. He has a remarkable academic record at all levels of education.
He holds the PSYBERGATE Computer Science Alumni Prize for the Best Student Tutor, at Wits University. Currently, he is a recipient of the Google DeepMind AlphaGo AI documentary. Dr. Blessing is a member of the following groups; Robotics, Autonomous, Intelligence and Learning research group at Wits, Black in AI, Institute of Information Technology Professionals (IITPSA), South Africa, International Association of Engineers (IAENG), Machine Intelligence Research Labs (MIR Labs), Washington, USA, and High Performance and Intelligence Computing (HiPIC), UNN.
Dr. Blessing is a member of a research group, HiPIC, that won a number of research grants. The most recent ones are 2020/2021 Lacuna Project Research grant of $110,000 for the deployment of a labelled dataset for an IoT–based aquaponics fish pond water monitoring system. 2015/2016 TETFund Institutional Based Research grant of $4,000 for the deployment of an e-infrastructure for academic research. 2012/2013 UNESCO-HP Brain Gain Initiative (BGI) grant of $12,000 for sustainability of the Grid infrastructure. 2011 UNESCO-HP Brain Gain Initiative (BGI) grant of $10,000 to establish the first ever Nigeria Grid Computing infrastructure at the University of Nigeria (TheLion Grid, UNN).
He has successfully supervised more than ten (10) honours projects. Dr Blessing has more than 15 peer-reviewed publications in international journals, conference proceedings, and book chapters. Dr Blessing is interested in the following research domains, theoretical computing, machine learning, deep learning for social good, computer vision, software engineering (emphasis on implementation and testing).