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Emmanuel Dada
PeerJ Author
100 Points

Contributions by role

Author 100

Contributions by subject area

Algorithms and Analysis of Algorithms
Artificial Intelligence
Computer Vision
Data Mining and Machine Learning

Emmanuel Gbenga Dada

PeerJ Author

Summary

Emmanuel Gbenga DADA received his PhD in Computer Science from Universiti Malaya, Malaysia (UM), MSc in Computer Science from University of Ibadan, Ibadan (UI), Nigeria and a Bachelor of Science in Computer Science from the University of Ilorin, Ilorin, Nigeria. His current research interests are in Softcomputing and Machine Learning Algorithms with their application to Image Segmentation, Swarm Robotics, Cyber Security, and Big Data. He has published several academic papers in reputable International and local journals, conference proceedings, and book chapters. He has been appointed as a reviewer of several ISI and Scopus indexed International journals such as ACM Survey, IEEE Access, Lecture Notes in Computational Vision, and Biomechanics. He is a member of IEEE, ISKO-WA, and CPN. He is currently an Associate Professor of Softcomputing and Computing Science with the Department of Mathematical Sciences, University of Maiduguri, Maiduguri, Nigeria.

Artificial Intelligence Computational Science Data Mining & Machine Learning Data Science Optimization Theory & Computation Security & Privacy

PeerJ Contributions

  • Articles 1
March 2, 2021
Detecting cassava mosaic disease using a deep residual convolutional neural network with distinct block processing
David Opeoluwa Oyewola, Emmanuel Gbenga Dada, Sanjay Misra, Robertas Damaševičius
https://doi.org/10.7717/peerj-cs.352