@article{f4cd011602394797b5b8c210fa933292,
title = "Big data, analytics and artificial intelligence for sustainability",
abstract = "Big data technologies, Analytics and Artificial Intelligence are great tools with capabilities to accomplish complex tasks at levels beyond human skills. The trio are becoming more and more prominent these days as they can be utilized to collect, organize, and analyze large varied data sets in order to reveal hidden patterns and trends that can help address several problems peculiar to sustainable development. Nevertheless, a number of challenges arise in the process of exploring these technologies for proffering solutions. This special issue presents novel research approaches adopted in Africa in relation to Big Data, Analytics and Artificial Intelligence in different domains. It also presents the challenges and issues that can be explored in the future.",
keywords = "Africa, Analytics, Artificial intelligence, Big data, Machine learning, Sustainability",
author = "Ojokoh, {Bolanle A.} and Samuel, {Oluwarotimi W.} and Omisore, {Olatunji M.} and Sarumi, {Oluwafemi A.} and Idowu, {Peter A.} and Chimusa, {Emile R.} and Ashraf Darwish and Adekoya, {Adebayo F.} and Katsriku, {Ferdinand A.}",
note = "Funding Information: Olatunji M. Omisore obtained his Ph.D. degree from the University of Chinese Academy of Sciences (UCAS); courtesy of CAS-TWAS President's fellowship. Currently, he is with the centre for Medical Robotics and Minimally Invasive Surgical Devices, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences (SIAT-CAS), China. He has over eight years of academic and research experience in pattern recognition and intelligent systems, biomedical image and signal processing, and flexible surgical robotics. He is the principal investigator of several research projects funded by the National Natural Science Foundation of China, Shenzhen Natural Science Foundation, Outstanding Youth Innovation Research Fund of SIAT-CAS, and many more as co-investigator. He is a recipient of the 2020 Heidelberg Laureate award for outstanding young scientists in Computer Science and Mathematics, CAS President's International Fellowship Initiative award, 2019 Excellent International Graduate award of UCAS and SIAT-CAS, second position award for the 2019 World Robotics Competition in Beijing, and student travel award for 2017 ICIT in Canada. He has published more than 40 peer-reviewed articles in top-ranked journals and conferences with over 400 citations on Google scholar and H-index of 11. He is a member of IEEE, ACM, and Nigeria Computer Society. He serves as a reviewer for many prestigious journals including Applied Soft Computing, IEEE TBioCAS, IEEE JAS, Advances in Mechanical Engineering, and International Journal of Information Research Retrieval; and as a program committee member for several international conferences. His-research interests include medical robotics (automation and control), health informatics, Xplainable AI, and machine learning. Funding Information: Oluwarotimi Williams Samuel is an Associate Professor in the Center for Neural Engineering, Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS), China. He obtained the Ph.D. degree in Pattern Recognition and Intelligent Systems from the University of Chinese Academy of Sciences, Beijing courtesy of CAS-TWAS President's Fellowship. As principal investigator, he did receive several research funding including the National Natural Science Foundation of China, Outstanding Youth Innovation Research Fund of SIAT-CAS, Foundation for the Support of Science and Technology, and others as co-investigator. He received the 2020 Merit award of SIAT-CAS, 2019 IEEE Outstanding Young Investigator Research Visit award to Sapienza University, 2019 CAS President's International Fellowship Initiative award, Best Academic Paper awards (IEEE-ICCC{\textquoteright}2019, IEEE-ICBHI{\textquoteright}2015, & GHI{\textquoteright}2015), 2018 Outstanding Young Researcher, Distinguished Ph.D. Dissertation, Outstanding Graduate Student, Excellent Foreign Student, and Excellent International Graduate awards (Courtesy of SIAT-CAS and UCAS, 2015–2018) amongst others. His-research interest includes applied machine intelligence, rehabilitation robotics, biomedical signal/image processing, data mining and knowledge discovery. He is the author/co-author of more than 90 articles in reputable journals and conference proceedings with over 1350 citations (h-Index:20) on Google Scholar. He is a member of the organizing committee of international conferences including 2018 IEEE-CBS, 2020 & 2021 IEEE MetroInd4.0&IoT. Also, he is a member of the board trustees of Doctorsinsight Initiative, IEEE & ACM professional member, an editorial board member of the Frontiers in Neurorobotics, Artificial Intelligence, and Neuroscience Journals, and a reviewer for IEEE-(TNRST, JBHI, TBME), AIIM-Elsevier, BSPC-Elsevier and other reputable peer-review journals. Publisher Copyright: {\textcopyright} 2020",
year = "2020",
month = sep,
doi = "10.1016/j.sciaf.2020.e00551",
language = "English",
volume = "9",
journal = "Scientific African",
issn = "2468-2276",
publisher = "Elsevier",
}
