Neural Networks form the core of Mr. Dimitrios Gerontitis’s interdisciplinary academic and professional profile, blending applied mathematics, computational science, and emerging AI technologies. Mr. Dimitrios Gerontitis has pursued continuous education and training through specialized seminars, international workshops, and advanced programs in AI for business and cloud engineering, strengthening his analytical and digital expertise. His professional experience spans teaching mathematics, technical service within the Greek Army, and active collaboration in international research programs. His research interests focus on neural networks, computational modeling, applied mathematics, and intelligent systems. His research skills include mathematical modeling, algorithmic thinking, peer review, and interdisciplinary data analysis. Mr. Dimitrios Gerontitis has earned professional recognition as a reviewer for leading international scientific journals. In conclusion, Mr. Dimitrios Gerontitis represents a forward-looking researcher committed to advancing neural network–driven innovation through strong mathematical foundations and continuous learning.
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Featured Publications
Novel Discrete-Time Recurrent Neural Networks Handling Discrete-Form Time-Variant Multi-Augmented Sylvester Matrix Problems and Manipulator Application
– IEEE Transactions on Neural Networks and Learning Systems, 2020 | Cited by: 78
Gradient Neural Network with Nonlinear Activation for Computing Inner Inverses and the Drazin Inverse
– Neural Processing Letters, 2018 | Cited by: 47
Conditions for Existence, Representations, and Computation of Matrix Generalized Inverses
– Complexity, 2017 | Cited by: 41
A Robust Noise Tolerant Zeroing Neural Network for Solving Time-Varying Linear Matrix Equations
– Neurocomputing, 2022 | Cited by: 38
A Family of Varying-Parameter Finite-Time Zeroing Neural Networks for Solving Time-Varying Sylvester Equation and Its Application
– Journal of Computational and Applied Mathematics, 2022 | Cited by: 38
A Higher-Order Zeroing Neural Network for Pseudoinversion of an Arbitrary Time-Varying Matrix with Applications to Mobile Object Localization
– Information Sciences, 2022 | Cited by: 35
Solving the Time-Varying Tensor Square Root Equation by Varying-Parameters Finite-Time Zhang Neural Network
– Neurocomputing, 2021 | Cited by: 25