Biography
Vincent Ademola Adeyemi earned his bachelor’s and master’s degrees in Computer Science from the University of Ado-Ekiti, Nigeria, and University of Ibadan, Nigeria, respectively, and a doctorate in Digital Systems from the Instituto Politécnico Nacional (IPN), Mexico. Having worked as a Computer Science lecturer for over ten years, he is currently a research associate at the Image Processing Laboratory of the Centro de Investigación y Desarrollo de Tecnología Digital (CITEDI), Tijuana, Mexico, one of the research centers of the Instituto Politécnico Nacional. He is a thesis advisor and member of the thesis review committees for masters and doctoral students.
His research interests include image processing, cryptosystems, information security, chaotic nonlinear dynamic systems, multimedia encryption, secure communication systems, evolutionary Algorithms, and FPGA systems design. He has over 20 publications, including articles in peer-reviewed international journals and conference proceedings, books, and book chapter. Also, he currently serves a Guest Editor for MDPI’s Fractal and Fractional, in addition to being a regular reviewer for several peer-reviewed international journals and conference proceedings.
Research Interest
Image processing, Cryptosystems, Information security, Chaotic nonlinear dynamic systems, Multimedia encryption, Secure communication systems, Evolutionary Algorithms, FPGA systems design

Editor
Work Details
Research Associate
Instituto Politécnico Nacional
Image Processing Laboratory
Mexico
Contribution by Topic Area
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Research Articles
- Solar Energy Resource Potentials of the City of Arkadag
- Examining the Causal Connection between Lipid-lowering Medications and Malignant Meningiomas through Drug-target Mendelian Randomization Analysis
- Gaussian-Transform for the Dirac Wave Function and its Application to the Multicenter Molecular Integral Over Dirac Wave Functions for Solving the Molecular Matrix Dirac Equation
- Current Oscillations and Resonances in Nanocrystals of Narrow-gap Semiconductors
- Methodology of the Professional-Business Game for the Development of a Cadet Leader in Professional Training Courses (L-1B) of the Tactical Level of Military Education
- Enhancing Material Property Predictions through Optimized KNN Imputation and Deep Neural Network Modeling
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