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Joseph Bamidele AWOTUNDE

Department of Computer Science, University of Ilorin, Ilorin, Nigeria

https://researchid.co/jabbamidele
@unilorin.edu.ng
326Scopus Publications
6854Google Scholar Citations
45Google Scholar h-index
156Google Scholar i10-index

Research Interests

Machine Learning, Deep Learning, Internet of Things, Cybersecurity, Information Security, Social Computing, Bioinformatics, and Biometrics

Biography

J. B. Awotunde was born in Ayetoro-Ile Town, Ilorin, Kwara State, Nigeria in 1982. He received the B.Sc. degree in Mathematics/Computer Science from Federal University of Technology, Minna, Nigeria, in 2007. M.Sc. and Ph.D. degrees in Computer Science from the University of Ilorin, Ilorin, Nigeria, in 2014 and 2019 respectively. From 2012 to 2015, and 2018, he was a Computer Science Instructor with the University School, University of Ilorin, Ilorin, Nigeria. From 2017 to 2018, he was a Lecturer II with the McPherson University, Ijebo, Seriki-Sotayo, Nigeria. Since 2019, he has been a Lecturer II with the Computer Science Department, University, of Ilorin, Ilorin, Nigeria. He is the author of more than 40 articles, and more than 15 Conference Proceedings. His research interests include Information Security, Cybersecurity, Bioinformatics Artificial Intelligence, Internet of Medical Things, Wireless Body Sensor Networks, Wireless Networks, Telemedicine, m-Health/e-health, and Medical Ima

Education

• University of Ilorin, Ilorin, Kwara State 2015 – 2019 • University of Ilorin, Ilorin, Kwara State 2012 – 2014 • Federal University of Technology, Minna, Niger State 2003 – 2007 • The Federal Polytechnic, Bida, Niger State 1999 – 2000 • Government Secondary School, Share 2001

Recent Scopus Publications

  1. Block lightweight encryption scheme for securing internet of things data and information
    Systems and Soft Computing, 2026
  2. A Diabetes Management-Based Personalized Food Recommender System
    Lecture Notes in Networks and Systems, 2026
  3. Reformed multi-source sharing (RMSS) for efficient resource distribution across edge servers
    Internet of Things the Netherlands, 2026
  4. Edge and Cloud-Based Deployment of AI-Driven Integration in Smart Healthcare
    Studies in Computational Intelligence, 2026
  5. An Investigative Comparison of an Ensemble Model and Selected Machine Learning Algorithms for Breast Cancer Prediction
    Lecture Notes in Networks and Systems, 2026

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