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Office: A115, Building A, Αncient Οlive-grove Campus
Office phone: +30 210 538-1571
Lab: A109b, Building A, Αncient Οlive-grove Campus
Lab phone: +30 210538-1336
E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Webpage: http://users.uniwa.gr/alexx
Office hours: Tuesday 15:00-16:00 & Wednesday 15:00-16:00
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Discipline: Neural Networks
Studies
2000 – Diploma in Chemical Engineering (National Technical University of Athens)
2003 – PhD in Computational Intelligence and Automatic Control (National Technical University of Athens)
Research Interests
- Computational Intelligence (Neural Networks, Fuzzy Logic, Evolutionary Computation, Swarm Intelligence)
- Automatic Control – Intelligent Control
- Machine Learning
- Optimization
- Mathematical Modelling and Simulation
- Data Processing
Recent Key Publications
1. Papadimitrakis, N., N. Giamarelos, M. Stogiannos, E.N. Zois, N.A. Livanos, A. Alexandridis, “Metaheuristic search in smart grid: A review with emphasis on planning, scheduling and power flow optimization applications”, Renewable and Sustainable Energy Reviews, 145 (2021), 111072.
2. Karamichailidou D., V. Kaloutsa, A. Alexandridis, “Wind Turbine Power Curve Modeling Using Radial Basis Function Neural Networks and Tabu Search”, Renewable Energy, 163 (2021), pp. 2137-2152.
3. Giamarelos, N, E. N. Zois, M. Papadimitrakis, M. Stogiannos, N.-A. I. Livanos and A. Alexandridis, "Short-Term Electric Load Forecasting With Sparse Coding Methods," IEEE Access, 9 (2021), pp. 102847-102861.
4. Papadimitrakis, M. M. Stogiannos, H. Sarimveis, A. Alexandridis, “Multi-ship control and collision avoidance using MPC and RBF-based trajectory predictions”, Sensors, 21(21) (2021) 6959.
5. Stogiannos, M., A. Alexandridis, H. Sarimveis, “An enhanced decentralized artificial immune-based strategy formulation algorithm for swarms of autonomous vehicles”, Applied Soft Computing, 89 (2020), pp. 106135.
6. Zois, E.N., A. Alexandridis, G. Economou, " Writer independent offline signature verification based on asymmetric pixel relations and unrelated training-testing datasets", Expert Systems with Applications, , 125 (2019), pp. 14-32.
7. Alexandridis, A., M. Stogiannos, N. Papaioannou, E. Zois, H. Sarimveis, "An Inverse Neural Controller Based on the Applicability Domain of RBF Network Models", Sensors, 18(1) (2018), pp. 315.
8. Stogiannos, M., A. Alexandridis, H. Sarimveis, "Model predictive control for systems with fast dynamics using inverse neural models", ISA Transactions, 72 (2018), pp. 161-177.
9. Famelis I. Th., A. Alexandridis, Ch. Tsitouras, "A highly accurate DE-PSO algorithm for the construction of initial value problem solvers", ", Engineering Optimization, 50(8) (2018), pp. 1364-1379.
10. Alexandridis A, Ε. Chondrodima, N. Giannopoulos, H. Sarimveis, "A Fast and Efficient Method for Training Categorical Radial Basis Function Networks", IEEE Transactions on Neural Networks and Learning Systems, 28(11) (2017), pp. 2831 - 2836.
11. Alexandridis A, E. Paizis, Ε. Chondrodima, M. Stogiannos, "A particle swarm optimization approach in printed circuit board thermal design", Integrated Computer-Aided Engineering, 24(2) (2017), pp. 143-155.
12. Alexandridis A, Ε. Chondrodima, H. Sarimveis, "Cooperative learning for radial basis function networks using particle swarm optimization", Applied Soft Computing, 49, (2016), pp. 485-497.
13. Alexandridis A, Ε. Chondrodima, "A medical diagnostic tool based on radial basis function classifiers and evolutionary simulated annealing", Journal of Biomedical Informatics, 49, (2014), pp. 61-72.
14. Alexandridis A, Ε. Chondrodima, Ε. Efthimiou, G. Papadakis, F. Vallianatos, D. Triantis, "Large earthquake occurrence estimation based on radial basis function neural networks", IEEE Transactions on Geoscience and Remote Sensing 52(9) (2014), pp. 5443-5453.
15. Alexandridis, A., "Evolving RBF neural networks for adaptive soft-sensor design", International Journal of Neural Systems 23(6) (2013), pp. 1350029.
16. Alexandridis, A., E. Chondrodima, H. Sarimveis, "Radial Basis Function network training using a non-symmetric partition of the input space and Particle Swarm Optimization", IEEE Transactions on Neural Networks and Learning Systems, 24 (2013), pp. 219-230.
17. Alexandridis, A., M. Stogiannos, A. Kyriou, H. Sarimveis, "An offset-free neural controller based on approximating the inverse process dynamics" Journal of Process Control, 23(7) (2013), pp. 968-979.
Undergraduate Courses
- Automatic Control Systems I
- Computational Intelligence
- System Optimization
- Intelligent Control
Postgraduate Courses
- Computational Intelligence and Deep Learning
- Industrial and Intelligent Control
Curriculum Vitae
