
Michael Onyema Edeh, Ph.D
Prof. Michael Onyema Edeh is an Adjunct Professor at the Department of Computer Science and Engineering, Shobhit University, India. He is also an Adjunct Professor at Enugu State College of Education Technical, Enugu, Nigeria. He is currently the Deputy Dean/ Head of Department, Mathematics and Computer Science at Coal City University, Nigeria. Michael is a Recipient of the prestigious Chancellor's Award for Best Staff of the Year 2020, and Vice Chancellor’s Award for research Excellence 2023 both at Coal City University. He is also the current Chairman of Nigeria Computer Society (NCS), Enugu State Chapter, Nigeria. Michael has taught Computer Science courses to both postgraduate and undergraduate students in several tertiary education institutions, including Southwestern University; Coal City University; Spiritan University Nneochi; National Open University of Nigeria (NOUN); Alex Ekwueme Federal University Ebonyi State; Gregory University Uturu; Enugu State College of Education Technical affiliated to Nnamdi Azikiwe University Nigeria; Institute of Management and Technology (IMT) Enugu; African Thinkers Community of Inquiry College of Education (ATCOI-COE) Enugu; Pogil College of Health Technology Ogun State; and Federal Science and Technical College Ogun State. He is also an Overseas Mentor at Yeshwantrao Chavan College of Engineering, India; and Adjunct Faculty, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, India. Michael has delivered Keynote talks for many institutions, including GD Goenka University, India; Shobhit University, India; International Centre for Diplomacy-Morocco, Brainware University, India; Dr. Hilla Liman Technical University, Ghana; Dumlak Engineering College, India; Caritas university Nigeria; Muthayammal Engineering College (Affiliated to Anna University) India; Galgotias University India, and Nigeria Computer Society (NCS). He has published over 100 scholarly papers in reputable journals, and also acted as an editor and Reviewer for many top journals. He has interest in Cybersecurity, Education, Machine Learning and cloud computing. Michael is open to service, opportunities, collaboration and learning. He can be reached via e-mail: [email protected] or Whatsapp: +2347039009048
Supervisors: Professor
Phone: +2347039009048
Address: Coal City University, Enugu, Nigeria
Supervisors: Professor
Phone: +2347039009048
Address: Coal City University, Enugu, Nigeria
less
Related Authors
Muhammad Umar Farooq Qaisar
University of Science and Technology of China
Joel J P C Rodrigues
Inatel
Osman Nuri Uçan
Altınbaş University
Javid Taheri
Karlstad University
Uploads
Papers by Michael Onyema Edeh, Ph.D
positively, ChatGPT improves individualized learning by helping with language comprehension, offering immediate feedback, and responding to intricate questions. It is an additional tool that supports teachers and students, encouraging self-directed learning and accommodating different learning preferences. However, there are also issues with using ChatGPT, such as an excessive reliance on AI, the possibility of false information, and a decline in critical thinking abilities. Its usage is made more difficult by ethical concerns about bias, data privacy, and academic honesty. This study offers a balanced overview of how ChatGPT is changing education through an
evaluation of existing literature, emphasizing the necessity for thoughtful implementation to optimize its
advantages while resolving its drawbacks. We conclude that ChatGPT should be engaged as a supplementary resource for education rather than an apparatus for substituting critical thinking or performing educational tasks without applying the necessary mental effort required for teaching and learning.
tasks, such as selecting a single object type from a fixed location and
orientation. Neural networks have autonomous abilities that are being deployed to aid the development of robots and also improve their navigation accuracy. Maximising the potentials of neural network as shown in this study enhances the positioning and movement targets of industrial robots. The study adopted an architecture called extremely boosted neural network (XBNet) trained using a unique optimisation approach (boosted gradient descent for tabular data –BGDTD) that improves both its interpretability and performance. Based on the analysis of the simulations, the result demonstrates accuracy and precision. The study would contribute significantly to the advancement of robotics and its efficiency.
positively, ChatGPT improves individualized learning by helping with language comprehension, offering immediate feedback, and responding to intricate questions. It is an additional tool that supports teachers and students, encouraging self-directed learning and accommodating different learning preferences. However, there are also issues with using ChatGPT, such as an excessive reliance on AI, the possibility of false information, and a decline in critical thinking abilities. Its usage is made more difficult by ethical concerns about bias, data privacy, and academic honesty. This study offers a balanced overview of how ChatGPT is changing education through an
evaluation of existing literature, emphasizing the necessity for thoughtful implementation to optimize its
advantages while resolving its drawbacks. We conclude that ChatGPT should be engaged as a supplementary resource for education rather than an apparatus for substituting critical thinking or performing educational tasks without applying the necessary mental effort required for teaching and learning.
tasks, such as selecting a single object type from a fixed location and
orientation. Neural networks have autonomous abilities that are being deployed to aid the development of robots and also improve their navigation accuracy. Maximising the potentials of neural network as shown in this study enhances the positioning and movement targets of industrial robots. The study adopted an architecture called extremely boosted neural network (XBNet) trained using a unique optimisation approach (boosted gradient descent for tabular data –BGDTD) that improves both its interpretability and performance. Based on the analysis of the simulations, the result demonstrates accuracy and precision. The study would contribute significantly to the advancement of robotics and its efficiency.
This book delves into the realms of smart cities and healthcare, where AI promises to revolutionize efficiency, sustainability, and personalized care delivery. The researchers/scholars and graduate students at the universities/research institutes and the research engineers at the industries in computer science, transportation engineering will find this book beneficial.