Alexandridis Alex

 alexandridis

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: Monday 15:00-16:00 & Tuesday 15:00-16:00

 

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. Karamichailidou, D., G. Gerolymatos, P. Patrinos, H. Sarimveis, A. Alexandridis, "Radial basis function neural network training using variable projection and fuzzy means", Neural Computing and Applications, (2024) DOI: 10.1007/s00521-024-10274-3.

2. Kordatos, I., A. Donas, G. Galanis, I. Famelis, A. Alexandridis, "Significant wave height prediction in nested domains using radial basis function neural networks", Ocean Engineering, 305 (2024) 117865

3. Protoulis, T., H. Sarimveis, A. Alexandridis, "Development and identification of a reduced-order dynamic model for wastewater treatment plants", Journal of Process Control, 138 (2024) 103211

4. Kapnopoulos, A., C. Kazakidis, Alex Alexandridis "Quadrotor trajectory tracking based on backstepping control and radial basis function neural networks", Results in Control and Optimization, 14 (2024) 10335

5. Giamarelos, N., M. Papadimitrakis, M. Stogiannos, E.N. Zois, N.A. Livanos, A. Alexandridis, "A Machine Learning Model Ensemble for Mixed Power Load Forecasting across Multiple Time Horizons", Sensors, 23(12) (2023) 5436

6. Kapnopoulos, A., A. Alexandridis, "A cooperative particle swarm optimization approach for tuning an MPC-based quadrotor trajectory tracking scheme", Aerospace Science and Technology, 127 (2022), 107725

7. Papadimitrakis, M., A. Alexandridis, "Active vehicle suspension control using road preview model predictive control and radial basis function networks", Applied Soft Computing, 120 (2022), 108646

8. Karamichailidou, D., S. Koletsios, A. Alexandridis, "An RBF online learning scheme for non-stationary environments based on fuzzy means and Givens rotations", Neurocomputing, 501 (2022), 370-386

9. Kalogeropoulos, I., A. Alexandridis, H. Sarimveis "Economic Oriented Dynamic Matrix Control of Wastewater Treatment Plants", Journal of Process Control, 118 (2022), 202-2017

10. Karamichailidou, D., A. Alexandridis, G. Anagnostopoulos, G. Syriopoulos, O. Sekkas, "Modeling biogas production from anaerobic wastewater treatment plants using radial basis function networks and differential evolution", Computers and Chemical Engineering, 157C (2022), 107629

11. Papadimitrakis, M., A. Kapnopoulos, S. Tsavartzidis, A. Alexandridis, "A cooperative PSO algorithm for Volt-VAR optimization in smart distribution grids", Electric Power Systems Research, 212 (2022), 108618

12. 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.

13. 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.

14. 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.

15. 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.

16. 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.

17. 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.

18. 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.

19. 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.

20. 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.

21. 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.

22. 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.

23. 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.

24. 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.

25. 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.

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

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