- 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

- 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

- 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

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

- 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

- 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

- M. Papadimitrakis, N. Giamarelos, M. Stogiannos, E.N. Zois, N.A.I. 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.

- Karamichailidou, D., V. Kaloutsa, A. Alexandridis, "Wind turbine power curve modeling using radial basis function neural networks and tabu search", Renewable Energy, 163 (2021), 2137-2152.

- 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.

- 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.

- 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), 106135.

- 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), Pages 14-32.

- Korovesis N., D. Kandris, G. Koulouras, A. Alexandridis, "Robot Motion Control via an EEG-Based Brain-Computer Interface by Using Neural Networks and Alpha Brainwaves", Electronics, 8(12) (2019), 1387.

- 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.

- Stogiannos, M., Alexandridis A , H. Sarimveis, "Model predictive control for systems with fast dynamics using inverse neural models", ISA Transactions, 72 (2018), Pages 161-177.

- Famelis I. Th., Alexandridis A , Ch. Tsitouras, "A highly accurate DE-PSO algorithm for the construction of initial value problem solvers", Engineering Optimization, 50(8) (2018), Pages 1364-1379.

- 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.

- 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.

- 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.

- Alexandridis A , I Stavrakas, C Stergiopoulos, G Hloupis, K Ninos, D Triantis, "Non-destructive assessment of the three-point-bending strength of mortar beams using radial basis function neural networks", Computers and Concrete, 16(6), (2015), pp. 919-932.

- 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.

- Alexandridis A, Chondrodima E, Efthimiou E, Papadakis G, Vallianatos F, Triantis D (2014) Large earthquake occurrence estimation based on radial basis function neural networks. IEEE Transactions on Geoscience and Remote Sensing, 52(9):5443-5453

- Alexandridis A (2013) Evolving RBF neural networks for adaptive soft-sensor design. International Journal of Neural Systems, 23(6):1350029

- Alexandridis A, Stogiannos M, Kyriou A, Sarimveis H (2013) An offset-free neural controller based on a non-extrapolating scheme for approximating the inverse process dynamics. Journal of Process Control, 23(7):968-979

- Alexandridis A, Chondrodima E, Sarimveis H (2013) 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(2):219-230

- Alexandridis A , Triantis D, Stavrakas I, Stergiopoulos C (2012) A neural network approach for compressive strength prediction in cement-based materials through the study of pressure-stimulated electrical signals. Construction and Building Materials 30:294-300

- Alexandridis A , Chondrodima E, Moutzouris K, Triantis D (2012) A neural network approach for the prediction of the refractive index based on experimental data. Journal of Materials Science 47(2):883-891

- Alexandridis A , Russo L, Vakalis D, Bafas GV and Siettos CI (2011) Wildland fire spread modelling using cellular automata: evolution in large-scale spatially heterogeneous environments under fire suppression tactics. International Journal of Wildland Fire 20(5):633-647

- Alexandridis A , Sarimveis H, Ninos K (2011) A radial basis function network training algorithm using a non-symmetric partition of the input space - Application to a model predictive control configuration. Advances in Engineering Software 42(10):830-837

- Patrinos P, Alexandridis A , Ninos K, Sarimveis H (2010) Optimal variable selection in nonlinear modelling based on RBF networks and evolutionary computation. International Journal of Neural Systems 20:365-379

- Alexandridis A , Vakalis D, Siettos CI, Bafas G (2008) A Cellular Automata Model for Forest Fire Spread Prediction: The Case of the Wildfire that Swept through Spetses Island in 1990. Applied Mathematics and Computation 204(1):191-201

- Melagraki G, Afantitis A, Sarimveis H, Markopoulou OI, Alexandridis A (2006) A novel RBF neural network training methodology to predict toxicity to Vibrio Fischeri. Molecular Diversity 10(2):213-221

- Alexandridis A , Russo L, Siettos CI (2005) Discussion on the Power flow control of a doubly-fed induction machine coupled to a flywheel. European Journal of Control 11:222-228

- Sarimveis Η, Doganis P, Alexandridis A (2006) A classification technique based on Radial Basis Function Neural Networks, Advances in Engineering Software 37:218-221

- Doganis P, Alexandridis A , Patrinos P, Sarimveis H (2006) Time series sales forecasting for short shelf-life food products based on artificial neural networks and evolutionary computing, Journal of food engineering 75:196-204

- Alexandridis Α, Sarimveis H (2005) A nonlinear adaptive MPC framework based on self-correcting RBF network models, AICHE Journal 51:2495-2506

- Afantitis A, Melagraki G, Makridima K, Alexandridis A , Sarimveis H, Iglessi-Markopoulou O (2005) Prediction of high-weight polymers glass transition temperature using RBF neural networks, Journal of Molecular Structure: THEOCEM 716:193-198

- Alexandridis Α, Patrinos P, Sarimveis H (2005) A two-stage evolutionary algorithm for variable selection in the development of RBF neural network models. Chemometrics and Intelligent Laboratory Systems 75(2):149-162

- Vakalis D, Sarimveis H, Kiranoudis C, Alexandridis A , Bafas G (2004) A GIS based operational system for wildland fire crisis management - II. System architecture and case studies. Applied Mathematical Modelling 28:411-425

- Vakalis D, Sarimveis H, Kiranoudis C, Alexandridis A , Bafas G (2004) A GIS based operational system for wildland fire crisis management - I.Mathematical Modeling and Simulation. Applied Mathematical Modelling 28:389-410

- Sarimveis H, Alexandridis A , Mazarakis S, Bafas G (2004) A new algorithm for developing dynamic radial basis function neural network models based on genetic algorithms. Computers and Chemical Engineering 28:209-217

- Alexandridis A , Sarimveis H, Bafas G (2004) Modeling and control of continuous digesters using the PLS methodology. Chemical Engineering Communications 191(10):1271-1284

- Karonis D, Lois E, Stournas S, Zannikos F, Alexandridis A , Sarimveis H (2003) A neural network approach for the correlation of exhaust emissions from a diesel engine with diesel fuel properties. Energy and Fuels 17(5):1259-1265

- Sarimveis Η, Alexandridis A , Bafas G (2003) A fast training algorithm for RBF networks based on subtractive clustering. Neurocomputing 51:501-505

- Alexandridis Α, Sarimveis H, Bafas G (2003) Α new algorithm for online structure and parameter adaptation of RBF networks. Neural Networks 16(7):1003-1017

- Korres D, Anastopoulos G, Lois E, Alexandridis A , Sarimveis H, Bafas G (2002) A neural network approach to the prediction of Diesel fuel lubricity. Fuel 81:1243-1250

- Sarimveis H, Alexandridis A , Tsekouras G, Bafas G (2002) A fast and efficient algorithm for training Radial Basis Function Neural Networks based on a fuzzy partition of the input space. Industrial and Engineering Chemistry Research 41:751-759

- Αlexandridis AP, Siettos CI, Sarimveis HK, Boudouvis AG, Bafas GV (2002) Modeling of nonlinear process dynamics using Kohonen's Neural Networks, Fuzzy Systems and Chebyshev Series. Computers and Chemical Engineering 26:479-486

-Kalogeropoulos, I., T. Protoulis, I. Kordatos, A. Kapnopoulos, P. L. Zervas, H. Sarimveis, Alexandridis A (2022) An integrated PSO-DMC framework for the identification and control of wastewater treatment plants, 1st International Conference on Sustainable Chemical and Environmental Engineering, Rethymno, Greece

-Stogiannos, M., M. Papadimitrakis, H. Sarimveis, Alexandridis A (2021) Vessel Trajectory Prediction Using Radial Basis Function Neural Networks, IEEE EUROCON - 19th International Conference on Smart Technologies, Lviv, Ukraine

-Asteris, P.G., Alexandridis A , (2017) Prediction of mechanical characteristics of soilcrete materials using artificial neural networks, 7th International Conference on Mechanics and Materials in Design, Albufeira, Portugal

- Alexandridis A , I. Th. Famelis, C. Tsitouras, (2015) Particle Swarm Optimization for Complex Nonlinear Optimization Problems, 13th International Conference of Numerical Analysis and Applied Mathematics (ICNAAM), Rhodes, Greece

- Alexandridis A , I. Th. Famelis, C. Tsitouras (2014) Long-Term Time-Series Prediction Using Radial Basis Function Neural Networks, 12th International Conference of Numerical Analysis and Applied Mathematics (ICNAAM), Rhodes, Greece

- Alexandridis A , E. Chondrodima, G. Paivana, M. Stogiannos, E. Zois, H. Sarimveis (2014) Music Genre Classification Using Radial Basis Function Networks and Particle Swarm Optimization, IEEE Computer Science and Electronic Engineering Conference (CEEC), Essex, UK

- Alexandridis A , M. Stogiannos A. Loukidis, K. Ninos, E. Zervas, H. Sarimveis, (2014) Direct Versus Indirect Neural Control Based on Radial Basis Function Networks, IEEE Computer Science and Electronic Engineering Conference (CEEC), Essex, UK

- Alexandridis A (2012) An Evolutionary-Based approach in RBF Neural Network Training, IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS), Madrid, Spain

- Alexandridis A, Triantis D, Chondrodima E, Stergiopoulos C, Hloupis G, Stavrakas I, Ninos K (2012) An Adaptive Soft-Sensor for Non-Destructive Cement-Based Material Testing, through the Use of RBF Networks, IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS), Madrid, Spain

- Ninos K, Giannakakis C, Kompogiannis I, Stavrakas I, Alexandridis A (2011) Nonlinear Control of a DC-Motor Based on Radial Basis Function Neural Networks, IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA), Istanbul, Turkey

- Alexandridis A, Sarimveis H (2011) Control of processes with multiple steady states using MPC and RBF neural networks, European Symposium on Computer Aided Process Engineering (ESCAPE) 21, Thessaloniki, Greece

- Alexandridis A, Russo L, Vakalis D, Siettos C (2011) Simulation of wildland fires in large-scale eterogeneous environements, Tenth International Conference on Chemical & Process Engineering (ICheaP-10), Florence, Italy

- Retsina T, Rutherford S, Patrinos P, Sarimveis H, Alexandridis A (2005) Neural network model-based paper machine marginal cost curves. TAPPI Engineering Pulping Environmental Conference, Philadelphia, PA

- Doganis P, Sarimveis H, Alexandridis A , Patrinos P (2005) Optimal production scheduling for dairy industries. 2nd Multidisciplinary International Conference on Scheduling: Theory & Applications (MISTA), New York, NY

- Sarimveis H, Aggelogiannaki E, Alexandridis A (2005) A prioritized multiobjective MPC configuration using adaptive RBF networks and evolutionary computation. 16th IFAC World Congress, Prague, Czech Republic

- Patrinos P, Alexandridis A , Sarimveis H, Afantitis A, Markopoulou O (2004) Development of Nonlinear Quantitative Structure-Activity Relationships using RBF Networks and Evolutionary Computing. European Symposium on Computer Aided Process Engineering (ESCAPE) 14, Lisbon, Portugal

- Alexandridis A , Sarimveis H, Bafas G (2003) A new nonlinear adaptive model predictive control scheme based on RBF neural network models. Eastern Mediterranean Chemical Engineering Conference (EMCC) 3, Thessaloniki, Greece

- Alexandridis A , Sarimveis H, Bafas G (2003) Modeling of continuous digesters using adaptive RBF neural network models. IEEE 11th Mediterranean Conference on Control and Automation MED'03, Rhodes, Greece

- Alexandridis A , Sarimveis H, Bafas G (2003) Adaptive Control of Continuous Pulp Digesters based on Radial Basis Function Neural Network Models. European Symposium on Computer Aided Process Engineering (ESCAPE) 13, Laaperanta, Finland

- Alexandridis A , Sarimveis H, Bafas G, Retsina T (2002) A neural network approach for modeling and control of continuous digesters. TAPPI Fall Technical Conference, San Diego, CA

- Sarimveis H, Alexandridis A , Angelou A, Retsina T (2002) Artificial Intelligence Tools for the on-line Prediction of Quality Properties in Pulp and Paper Processes. Paper Summit, Atlanta, GA

- Sarimveis H, Angelou A, Retsina T, Alexandridis A , Bafas G (2002) A Mathematical Programming Approach for the Optimum Production Planning in Pulp and Paper. Control Systems, Stockholm, Sweden

- Alexandridis A , Sarimveis H, Angelou A, Retsina T, Bafas G (2002) A Model Predictive Control Scheme for Continuous Pulp Digesters based on the Partial Least Square (PLS) Modeling Algorithm. Control Systems, Stockholm, Sweden

- Sarimveis H, Alexandridis A , Mazarakis S, Bafas G (2002) A new algorithm for developing radial basis function neural network models based on genetic algorithms. European Symposium on Computer Aided Process Engineering (ESCAPE) 12, The Hague, Netherlands

- Sarimveis H, Alexandridis A , Bafas G (2002) Neural Network Modeling Identification Based on the Subtractive Clustering Method. 15th IFAC World Congress, Barcelona, Spain

- Alexandridis A , Sarimveis H, Retsina T (2001) Modeling and Control of continuous digesters using the PLS methodology. Pulp Digester Modeling and Control Workshop, Annapolis MD

- Αlexandridis AP, Siettos CI, Sarimveis HK, Boudouvis AG, Bafas GV (2001) Modeling of nonlinear process dynamics using Kohonen's Neural Networks, Fuzzy Systems and Chebyshev Series. European Symposium on Computer Aided Process Engineering (ESCAPE) 11, Kolding, Denmark

- Sarimveis H, Alexandridis A, Bafas G, Thanassekos J, Retsina T (2001) Multi-period Optimization Methodology for Planning and Scheduling of Pulp and Paper mills. AIChE Annual Meeting, Reno, NV

- Koulouras, G., Alexandridis A., S. Karabetsos, S. Grispos, G. Stoumpis, P. Charamis, A. Koulouris, A. Nassiopoulos, (2015) An Embedded PID Temperature Control Scheme with Application in a Medical Microwave Radiometer, 3rd Greek Conference on Electronics and Telecommunications (PACET), Athens

- Alexandridis A, Sarimveis H, Bafas G (2007) Development of RBF neural network training algorithm using a non-symmetric partition of the input space, 6th Greek scientific conference of Chemical Engineering, Athens

- Alexandridis A, Sarimveis H, Bafas G (2003) RBF neural network training using the subtractive clustering algorithm, 4th Greek scientific conference of Chemical Engineering, Patras

- Sarimveis H, Alexandridis A, Bafas G (2001) Minimization of the production cost in industrial plants using mixed linear and integer programming, 3rd Greek scientific conference of Chemical Engineering, Athens

- Alexandridis A, Sarimveis H, Bafas G (2001) Application of a hybrid neural network - PLS method in the simulation of chemical processes, 3rd Greek scientific conference of Chemical Engineering, Athens