Chika O. Yinka-Banjo
Senior Lecturer
Chika is an experienced and result-oriented Computer Scientist with a flair for Artificial Intelligence, Robotics, Data Science, and Entrepreneurship. As the Coordinator of the University of Lagos AI & Robotics laboratory (AiRoL), she is passionate about impacting her communities with creative and innovative projects that tremendously affect lives. With a Ph.D. in Computer Science (UCT, SA), Chika has developed models with machine learning techniques, one of which was to guide robots in a pre-entry safety inspection in the underground mines. She is extremely enthusiastic about and involved in applying Machine learning algorithms to numerous areas. Dr. Yinka-Banjo is a recipient of the One Year Study Award (Mathematical Sciences) at African Institute for Mathematical Sciences (AIMS), Stellenbosch University, Cape Town, South Africa (2009), L’Oreal-Unesco Fellowship for Women in Science (2013 fellow for Sub-Saharan Africa), and a three-year Ph.D. (Computer Science) scholarship, from the Organization for Women in Science for the Developing World (OWSD) (August 2011 – July 2014).
Alongside two of her colleagues, she recently scored a grant from Facebook Africa where they are working on Ethics in the AI Research Initiative for Africa. In 2020, Chika and some of her colleagues got a Tertial Education Trust Fund (TETFund), National Research Fund (NRF), and UK Research and Innovation (UKRI) grant to solve different, health-related problems using technology. A onetime AlumNode Germany award of 6800 Euros for a five-man project in Animal Technology. She is also a recipient of the (AIMS) Alumni Small Research Grant from AIMS South Africa and International Development Research Centre (IDRC) Canada. She is one of the two hundred most qualified young researchers to have been selected by the Scientific Committee of the Heidelberg Laureate Forum Foundation (HLFF) worldwide, to participate in the Heidelberg Laureate Forum, Germany, 2018. She concluded a research program at Massachusetts institute of Technology (MIT), USA in 2019. Dr. Yinka-Banjo is a member of several learned and professional organizations and has mentored many undergraduate and post-graduate students.
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Publications
1. Chika O. Yinka-Banjo, Gafar Lekan Raji and Ifeanyi Precious Ohalete, (2020) Auto-Detection of Human Factor Contents on Social Media Posts Using Word2vec and Long Short-Term Memory (LSTM), Handbook of Research on the Role of Human Factors in IT Project Management , IGI Global , PP 1- 13, DOI: 10.4018/978-1-7998-1279-1.ch001 Link Online: https://www.igi-global.com/chapter/auto-detection-of-human-factor-contents-on-social-media-posts-using-word2vec-and-long-short-term-memory-lstm/239455
2. Mary Akinyemi, Chika Yinka-Banjo, Ogban-Asuquo Ugot, Akwarandu Nwachuku , (2020) Estimating the Time-Lapse between Medical Insurance Reimbursement with Non-parametric Regression Models In: Arai K., Kapoor S., Bhatia R. (eds) Advances in Information and Communication. FICC 2020. Advances in Intelligent Systems and Computing, vol 1130. Springer, Cham
3. Chika Yinka-Banjo and Olasupo Ajayi, (2019), Sky-Farmers: Applications of Unmanned Aerial Vehicles (UAV) in Agriculture, Unmanned Aerial Vehicles IntechOpen, DOI:10.5772/intechopen.89488 Link Online: https://www.researchgate.net/publication/337948739_Sky_Farmers_Applications_of_Unmanned_Aerial_Vehicle_UAV_in_Agriculture or https://www.intechopen.com/online-first/sky-farmers-applications-of-unmanned-aerial-vehicles-uav-in-agriculture
4. Yinka-Banjo C., Daniel O., Misra S., Jonathan O., Florez H. (2019) Comparative Analysis of Three Obstacle Detection and Avoidance Algorithms for a Compact Differential Drive Robot I N V-Rep. In: Florez H., Leon M., Diaz-Nafria J., Belli S. (eds) Applied Informatics. ICAI 2019. Communications in Computer and Information Science, vol 1051. Springer, Cham Link Online: https://link.springer.com/chapter/10.1007/978-3-030-32475-9_26
5. Osunmakinde, I.O; Yinka-Banjo, C.O; Bagula, A. (2012), Investigating the use of Bayesian Network and K-NN Models to Develop Behaviours for Autonomous Robots, In Raol J.R. et al. (Eds.): Mobile Autonomous Systems CRC Press. Taylor & Francis Group USA, pp 751 – 764, ISBN: 9781439863008 Link Online: http://pubs.cs.uct.ac.za/id/eprint/840/1/K12925_Chap34_14pp-1.pdf