Mutiu Adesina Adegboye

Also published under:Mutiu A. Adegboye

Affiliation

School of Engineering, Robert Gordon University, Aberdeen, United Kingdom

Topic

Neural Network,Training Dataset,Accelerometer,Accuracy Of Model,Alternative Models,Angular Velocity,Aquaculture,Artificial Neural Network,Automatic System,Benchmark Functions,Carbon Monoxide,Chaincode,Computational Fluid Dynamics Model,Control System,Control Unit,Cyber-physical Systems,Data For Model Training,Data Logger,Development Of System,Discrete Fourier Transform,Dynamic Model,Embedded System,Escape Response,Feeding Activity,Feeding Behavior,Fish Age,Fish Behavior,Fish Farming,Fish Fed,Fish Movement,Fishing Activities,Fuzzy Logic,Gyroscope,Hidden Layer,Home Automation,Indoor Environments,Indoor Systems,Industrial Internet Of Things,Internet Of Things,Inverse Discrete Fourier Transform,Large Datasets,Large Training Datasets,Leak Detection,Learning Accuracy,Learning Algorithms,Limited Training Samples,Machine Learning,Machine Learning Models,Magnetometer,Mean Absolute Error,

Biography

Mutiu A. Adegboye (Member, IEEE) received the B.Eng. and M.Eng. degrees in computer engineering from Federal University of Technology, Minna, Nigeria, in 2014 and 2018, respectively. He is currently pursuing the Ph.D. degree in engineering with the Communications and Autonomous Systems Research Group, Robert Gordon University, Aberdeen, U.K. His Ph.D. research work is focused on the smart system for subsea pipelines monitoring and oil leakage detection.
From 2016 to 2018, he was a Graduate Teaching Assistant with the Computer Engineering Department, Federal University Oye Ekiti, Nigeria, where he has been a Lecturer with the Computer Engineering Department, since 2018. His research interests include computer vision, signal processing, artificial intelligence, embedded systems, and autonomous systems.
Mr. Adegboye was a recipient of the Petroleum Technology Development Fund Scholarship Award, in 2018, and the Robert Gordon University Merit-Based Award, in 2018.