
Journals 

 Kapnopoulos, A., A. Alexandridis, "A cooperative particle swarm optimization approach for tuning an MPCbased 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 nonstationary environments based on fuzzy means and Givens rotations", Neurocomputing, 501 (2022), 370386
 Kalogeropoulos, I., A. Alexandridis, H. Sarimveis "Economic Oriented Dynamic Matrix Control of Wastewater Treatment Plants", Journal of Process Control, 118 (2022), 2022017
 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 VoltVAR 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), 21372152.
 Papadimitrakis, M. M. Stogiannos, H. Sarimveis, A. Alexandridis, "Multiship control and collision avoidance using MPC and RBFbased trajectory predictions", Sensors, 21(21) (2021) 6959.
 Giamarelos, N, E. N. Zois, M. Papadimitrakis, M. Stogiannos, N.A. I. Livanos and A. Alexandridis, "ShortTerm Electric Load Forecasting With Sparse Coding Methods," IEEE Access, 9 (2021), pp. 102847102861.
 Stogiannos, M., A. Alexandridis, H. Sarimveis, "An enhanced decentralized artificial immunebased 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 trainingtesting datasets", Expert Systems with Applications, 125 (2019), Pages 1432.
 Korovesis N., D. Kandris, G. Koulouras, A. Alexandridis, "Robot Motion Control via an EEGBased BrainComputer 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 161177.
 Famelis I. Th., Alexandridis A , Ch. Tsitouras, "A highly accurate DEPSO algorithm for the construction of initial value problem solvers", Engineering Optimization, 50(8) (2018), Pages 13641379.
 Alexandridis A , Å. 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, Å. Chondrodima, M. Stogiannos, "A particle swarm optimization approach in printed circuit board thermal design", Integrated ComputerAided Engineering, 24(2) (2017), pp. 143155.
 Alexandridis A , Å. Chondrodima, H. Sarimveis, "Cooperative learning for radial basis function networks using particle swarm optimization", Applied Soft Computing, 49, (2016), pp. 485497.
 Alexandridis A , I Stavrakas, C Stergiopoulos, G Hloupis, K Ninos, D Triantis, "Nondestructive assessment of the threepointbending strength of mortar beams using radial basis function neural networks", Computers and Concrete, 16(6), (2015), pp. 919932.
 Alexandridis A , Å. Chondrodima, "A medical diagnostic tool based on radial basis function classifiers and evolutionary simulated annealing", Journal of Biomedical Informatics, 49, (2014), pp. 6172.
 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):54435453
 Alexandridis A (2013) Evolving RBF neural networks for adaptive softsensor design. International Journal of Neural Systems, 23(6):1350029
 Alexandridis A, Stogiannos M, Kyriou A, Sarimveis H (2013) An offsetfree neural controller based on a nonextrapolating scheme for approximating the inverse process dynamics. Journal of Process Control, 23(7):968979
 Alexandridis A, Chondrodima E, Sarimveis H (2013) Radial Basis Function network training using a nonsymmetric partition of the input space and Particle Swarm Optimization. IEEE Transactions on Neural Networks and Learning Systems, 24(2):219230
 Alexandridis A , Triantis D, Stavrakas I, Stergiopoulos C (2012) A neural network approach for compressive strength prediction in cementbased materials through the study of pressurestimulated electrical signals. Construction and Building Materials 30:294300
 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):883891
 Alexandridis A , Russo L, Vakalis D, Bafas GV and Siettos CI (2011) Wildland fire spread modelling using cellular automata: evolution in largescale spatially heterogeneous environments under fire suppression tactics. International Journal of Wildland Fire 20(5):633647
 Alexandridis A , Sarimveis H, Ninos K (2011) A radial basis function network training algorithm using a nonsymmetric partition of the input space  Application to a model predictive control configuration. Advances in Engineering Software 42(10):830837
 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 20:365379
 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):191201
 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):213221
 Alexandridis A , Russo L, Siettos CI (2005) Discussion on the Power flow control of a doublyfed induction machine coupled to a flywheel. European Journal of Control 11:222228
 Sarimveis Η, Doganis P, Alexandridis A (2006) A classification technique based on Radial Basis Function Neural Networks, Advances in Engineering Software 37:218221
 Doganis P, Alexandridis A , Patrinos P, Sarimveis H (2006) Time series sales forecasting for short shelflife food products based on artificial neural networks and evolutionary computing, Journal of food engineering 75:196204
 Alexandridis Α, Sarimveis H (2005) A nonlinear adaptive MPC framework based on selfcorrecting RBF network models, AICHE Journal 51:24952506
 Afantitis A, Melagraki G, Makridima K, Alexandridis A , Sarimveis H, IglessiMarkopoulou O (2005) Prediction of highweight polymers glass transition temperature using RBF neural networks, Journal of Molecular Structure: THEOCEM 716:193198
 Alexandridis Α, Patrinos P, Sarimveis H (2005) A twostage evolutionary algorithm for variable selection in the development of RBF neural network models. Chemometrics and Intelligent Laboratory Systems 75(2):149162
 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 28:411425
 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 28:389410
 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 28:209217
 Alexandridis A , Sarimveis H, Bafas G (2004) Modeling and control of continuous digesters using the PLS methodology. Chemical Engineering Communications 191(10):12711284
 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):12591265
 Sarimveis Η, Alexandridis A , Bafas G (2003) A fast training algorithm for RBF networks based on subtractive clustering. Neurocomputing 51:501505
 Alexandridis Α, Sarimveis H, Bafas G (2003) Α new algorithm for online structure and parameter adaptation of RBF networks. Neural Networks 16(7):10031017
 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 81:12431250
 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 41:751759
 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 26:479486 




International Conferences 

Kalogeropoulos, I., T. Protoulis, I. Kordatos, A. Kapnopoulos, P. L. Zervas, H. Sarimveis, Alexandridis A (2022) An integrated PSODMC 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) LongTerm TimeSeries 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 EvolutionaryBased 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 SoftSensor for NonDestructive CementBased 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 DCMotor 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 largescale eterogeneous environements, Tenth International Conference on Chemical & Process Engineering (ICheaP10), Florence, Italy
 Retsina T, Rutherford S, Patrinos P, Sarimveis H, Alexandridis A (2005) Neural network modelbased 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 StructureActivity 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 online 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) Multiperiod Optimization Methodology for Planning and Scheduling of Pulp and Paper mills. AIChE Annual Meeting, Reno, NV 




Greek Conferences 

 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 nonsymmetric 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 







