Ioannis G. Tsoulos

Dr. Ioannis Tsoulos is Director of the Knowledge & Intelligent Computing Laboratory, Department of Computer Science and Telecommunications, University of Ioannina, Greece (https://kic.uoi.gr/).Dr. Ioannis G. Tsoulos received B.S. degree in Computer Science from the University of Ioannina, Ioannina, Greece (in 1998), M.Sc. from the same University in 2001 and Ph.D. degree in Computer Science with title:
Global Optimization, methods and software from the University of Ioannina, Ioannina, Greece (in 2006). He has worked on several research programs at Greek universities (University of Patras, University of Crete, University of Ioannina, National Technological and Educational Institute of Epirus).
Also, he has worked several years as a visiting lecturer in Universities and Technological Educational Institutes. He has published more than 80 peer-reviewed manuscripts. He has received more than 1200 cross-references. He serves as reviewer for several scientific journals and conferences. His research interests include global optimization, neural networks, genetic algorithms, genetic programming, biomedical signal and image processing.
Also, he has worked as a freelancer in the area of mobile applications and he has published more than 60 applications for Symbian, i-phone and Android mobile devices. He holds the position of Associate  Professor at the Department of Informatics and Telecommunications, University of Ioannina, Greece

The CV is available here. (In Greek Language)

The CV is available here. (In English)

Name : Ioannis

Surname : Tsoulos

Date of birth :8/1/1977

Place of birth : Laganas Ilias

email : itsoulos@uoi.gr

1994 – 1998 : BSC in Information Technology from the Department of Computer Science  at the  University of Ioannina, Greece.

1999 – 2001 : MSC in Information Technology from the Department of Computer Science at the University of Ioannina, Greece. The title of MSC was “Parallel neural networks”.

2001 – 2006 : PHD in Information Technoly from the Department of Computer Science at the University of Ioannina, Greece. The title of PHD was “Global Optimization: methods and software”.

  1. Semptember 2001 – March 2012: Research Associate at Department of Informatics and Telecommunications of the Technological Institution of Epirus, Greece, teaching  the following courses
    1. Programming in Pascal
    2. Programming in C++
    3. Network programming in Java
    4. E-Commerce (PHP, MYSQL).
  2. October 2006 – September 2008: Visiting Lecturer at the Department of Computer Science of the University of Ioannina, Greece, teaching the following courses
    1. Programming in C
    2. Genetic Algorithms
    3. Introduction to Informatics (UNIX, HTML).
  3. September 2009 – August 2010: Visiting Lecturer at the Departent of Cultural Environment and New Technology of the University of Ioannina, Greece, teaching the following courses
    1. Object oriented programming (Java)
    2. Introcuction to programming (C++)
  4. October 2011- March 2012: Visiting Lecturer at the Department of Informatics and Telecommunications of the University of Western Macedonia, Greece, teaching the following courses
    1. Object oriented programming (Java)
    2. Topics in algorithms.
  5. March 2014-Today: Associate professor at the Department of Informatics and Telecommunications, University of Ioannina
  1. January 1999 – May 1999: Researcher for the program “Exanding and Upgrading Education” of the University of Patras, Greece.
  2. October 1999 – May 2000: Researcher for the program “EKSAPSIS” of the University fo Crete, Greece.
  3. March  – August 2001: Researcher for the program “Transportation and mobility” of the Univirsity of Ioannina, Greece.
  4. November 2001  – October 2002: Researcher for the program “Parallel neural networks” of the University of Ioannina, Greece.
  5. January – February 2002:  Researcher for the program  “CHILDCARE: INTELLIGENT COLLABORATIVE ENVIRONMENT FOR OUT-OF-HOSPITAL CHILDREN HEALTHCARE (IST-2001-33383)” of the University of Ioannina, Greece.
  6. June – December 2003: Researcer for the program “Expanding Education” of Technological Educational Insitute of Epirus, Greece.
  7. May 2005 – August 2006: Researcher for the program “Reinforcement of Education” of the Technological Educational Insitute of Epirus, Greece.
  8. Dedember 2006 – January 2008: Researcher for the program “New earth” of the Technological Educational Institute of Epirus, GREECE.
  1. G. Tsoulos, I.E. Lagaris and A. Likas, Neural Splines: exploiting Parallelism for Function Approximation Using Modular Neural Networks, Neural Parallel and Scientific Computations  13,  pp. 161 – 178, 2005.
  2. I. G. Tsoulos, I. E. Lagaris, Solving differential equations with genetic Programming, Genetic Programming and Evolvable Machines 7,  pp. 33 -54, 2006.
  3. I. G. Tsoulos and I. E. Lagaris, Genetically Controlled Random Search: A global optimization method for continuous multidimensional functions, Computer Physics Communications   174, pp. 152-159, 2006.
  4. I. G. Tsoulos and I. E. Lagaris, GenAnneal: Genetically modified Simulated Annealing, Computer Physics Communications 174,  pp.  846-851, 2006.
  5. G. Tsoulos and I. E. Lagaris, MinFinder: Locating all the local minima of a function, Computer Physics Communications  174,  pp. 166-179, 2006.
  6. G. Tsoulos, D. Gavrilis and E. Dermatas, GDF: A tool for function estimation through grammatical evolution, Computer Physics Communications 174, pp.  555-559, 2006.
  7. George Georgoulas, Dimitris Gavrilis, Ioannis G. Tsoulos, Chrysostomos Stylios, João Bernardes and Peter P. Groumpos, “Novel approach for fetal heart rate classification introducing grammatical evolution”, Biomedical Signal Processing and Control  2, pp.  69-79, 2007.
  8. I. G. Tsoulos, D. Gavrilis , E. Dermatas , GDF v2.0, an enhanced version of GDF, Computer Physics Communications  177, pp. 976-977, 2007.
  9. I. E. Lagaris and I. G. Tsoulos, “ Stopping Rules for Box-Constrained  Stochastic Global Optimization”, Applied Mathematics and Computation 197, pp. 622-632, 2008.
  10. I.G. Tsoulos and I.E.Lagaris, “ GenMin: An enhanced genetic algorithm for global optimization”, Computer Physics Communications 178,  pp. 843-851, 2008.
  11. I.G. Tsoulos, D. Gavrilis, E. Glavas, “Neural Network Construction and Training using Grammatical Evolution”, Neurocomputing 72, pp. 269-277, 2008.
  12. D. Gavrilis, I.G. Tsoulos, E. Dermatas, “Features Selection and Construction using Grammatical Evolution”, Pattern Recognition Letters  29, pp.  1358-1365, 2008.
  13. S. Paschos, I.G. Tsoulos, E.D. Vagenas, S.A. Kotsopoulos, G.K. Karagiannidis, Deterministic Simulation Model for Sojourn Time in Urban Cells with square street geometry, accepted for publication in International Journal of Vehicular Technology.
  14. I. G. Tsoulos, I.E. Lagaris, MinFinder v2.0: An improved version of MinFinder, Computer Physics Communications 179, pp.  614-615, 2008.
  15. I. G. Tsoulos, Modifications of real code genetic algorithm for global optimization, Applied Mathematics and Computation  203, pp.  598-607, 2008.
  16. V.A. Tatsis, I.G. Tsoulos, A. Stavrakoudis, Molecular dynamics simulations of the TSSPSAD peptide antigen in free and bound with CAMPATH-1H Fab antibody states: the importance of the β-turn conformation. International Journal of Peptide Research and Therapeutics 15, pp. 1-9, 2009.
  17. I.G. Tsoulos, Solving constrained optimization problems using a novel genetic algorithm, Applied Mathematics and Computation 208, pp. 273-283, 2009.
  18. I.G. Tsoulos, D. Gavrilis, E. Glavas, Solving differential equations with constructed neural networks, Neuromputing 72, pp. 2385-2391, 2009.
  19. Athanassios Stavrakoudis, Ioannis G. Tsoulos, Zakhar O. Shenkarev, Tatiana V. Ovchinnikova, Molecular dynamics simulation of antimicrobial peptide arenicin-2:  β-hairpin stabilization by   non-covalent interactions,             Biopolymers: peptide science 92, pp. 143-155, 2009.
  20. V.A. Tatsis, I.G. Tsoulos, C.S. Krinas, C. Alexopoulos, A. Stavrakoudis, Insights into the structure of the PmrD protein with molecular dynamics simulations, International Journal of Biological Macromolecules 44, pp.  393-399, 2009.
  21. G. V. Papamokos , I. G. Tsoulos , I.N. Demetropoulos , E. Glavas,  Location of Amide I mode of vibration in computed data utilizing constructed neural networks, Expert Systems with Applications 36, pp. 12210-12213, 2009.
  22. I.G. Tsoulos, A. Stavrakoudis, On locating all roots of systems of nonlinear equations inside bounded domain using global optimization methods, Nonlinear Analysis: Real World Applications  11 pp. 2465-2471, 2010.
  23. I.S. Kardaras, V.N. Stavrou, I.G. Tsoulos, T.S. Kosmas, Calculations of μ − wavefunctions in mounic atoms using a genetic algorithm. Accepted for publication in AIP Conference Proceedings.
  24. I.G. Tsoulos, A. Stavrakoudis, Improving the speed and efficiency of PSO methods for global optimization, Applied Mathematics and Computation  216, pp.  2988-3001, 2010.
  25. A. Stavrakoudis, I.G. Tsoulos, K. Uray, F. Hudecz, V. Apostolopoulos, Homology modeling and molecular dynamics simulations of MUC1-9/H-2Kb complex suggest novel binding interactions, Journal of Molecular Modeling 17 , pp. 1817-1829, 2011.
  26. I.G. Tsoulos, A. Stavrakoudis Eucb: A C++ program for molecular dynamics trajectory analysis, Computer Physics Communications 182, pp.  834-841, 2011.
  27. A.  Stavrakoudis, I.G. Tsoulos, Configurational entropy reallocation and complex loop dynamics of the mosquito-stage Pvs25 protein complexed with the
    Fab fragment of the malaria transmission blocking antibody 2A8. 5 protein complexed with Fab fragment of malari J. Chem. Theory. Comput. 7, pp 515-524, 2011.
  28. O. Smart, I.G. Tsoulos, D. Gavrilis, G. Georgoulas, Grammatical Evolution for Features of Epileptic Slow Ripples, Expert Systems with Applications  38, pp. 9991-9999, 2011.
  29. I S Kardaras, V N Stavrou, I G Tsoulos and T S Kosmas, Exact wave functions of bound μfor calculating ordinary muon capture rates, Journal of Physics: Conference Series Volume 410 conference 1.
  30. Fardin Ahmadizar, Khabat Soltanian, Fardin AkhlaghianTab, Ioannis Tsoulos, Artificial neural network development by means of a novel combination of grammatical evolution and genetic algorithm. Accepted for publication in Engineering Applications of Artificial Intelligence.
  31. G. Tsoulos, A. Tzallas, Dimitris Tsalikakis, PDoublePop: An implementation of parallel genetic algorithm for function optimization, Accepted for publication in Computer Physics Communications, 2016.
  32. Georgia Mitsi, Enrique Urrea, Benjamin Wissel, Elena Barbopoulou, Alok Kumar Dwivedi, Ioannis Tsoulos, Athanassios Stavrakoudis, Alberto J Espay, MD Papapetropoulos, Biometric Digital Health Technology for Measuring Motor Function in Parkinson’s disease: Results from a feasibility and patient satisfaction study, Frontiers in Neurology 8, pp. 27, 2017.
  33. Ioannis G. Tsoulos, Alexandros Tzallas, Dimitris Tsalikakis, Evolutionary Based Weight Decaying Method for Neural Network Training, Neural Processing Letters 47, pp. 463-473, 2018.
  34. Ioannis G. Tsoulos, OnePC: A portable software for parallel genetic algorithms used in optimization problems, International Journal of Advanced Research in Computer Science and Electronics Engineering 6, pp. 78-84, 2017.
  35.  P. Petrikis, P.V. Voulgari, A.T. Tzallas, V.A. Boumba, D.A. Archimandriti, D. Zambetas, I. Papadopoulos, I.G. Tsoulos, P. Skapinakis, V. Mavreas, Changes in the cytokine profile in first-episode, drug-naïve patients with psychosis after short-term antipsychotic treatment, Psychiatry Research 256, pp. 378-383, 2017.
  36. Ioannis G. Tsoulos, Creating classification rules using Grammatical Evolution, accepted for publication in International Journal of Computational Intelligence Studies, 2018
  37. Katerina D. Tzimourta, Ioannis Tsoulos, Thanasis Bilero, Alexandros T. Tzallas, Markos G. Tsipourasand Nikolaos Giannakeas, Direct Assessment of Alcohol Consumption in Mental State Using Brain Computer Interfaces and Grammatical Evolution, Inventions 3, p.  51, 2018.
  38. Ioannis G. Tsoulos, O.T. Kosmas V.N. Stavrou, DiracSolver: a tool for solving the Dirac Equation, accepted for publication in Computer Physics Communications.
  39. Ioannis G. Tsoulos, Alexandros Tzallas, Markos Tsipouras, Vasileios Christou, Stopping rules for a parallel genetic algorithm, accepted for publication in  International Journal of Computational Intelligence Studies, 2018.
  40. Ioannis Tsoulos, Georgia Mitsi, Athanassios Stavrakoudis and Spyros Papapetropoulos, Application of Machine Learning in a Parkinson’s Disease Digital Biomarker Dataset Using Neural Network Construction (NNC) Methodology Discriminates Patient Motor Status, accepted for publication in Frontiers in ICT | Digital Health, 2019.
  41. Ioannis G. Tsoulos, Alexandros Tzallas, Dimitrios Tsalikakis, Genetic Feature Construction Genetic Feature Construction: a parallel implementation of a genetic programming tool for feature construction, European Journal of Engineering research and science 4, 2019.
  42. Ioannis G. Tsoulos, Alexandros Tzallas, Dimitrios Tsalikakis, NNC: A tool based on Grammatical Evolution for data classification and differential equation solving, SoftwareX 10, 2019.
  43. Ioannis G. Tsoulos, Vasileios Stavrou, Nikolaos E. Mastorakis,
    Dimitrios Tsalikakis, GenConstraint: A programming tool for constraint optimization problems, SoftwareX 10, 2019.
  44. Ioannis G. Tsoulos, Alexandros Tzallas, Evaggelos Karvounis, Improving the PSO method for global optimization problems, accepted for publication in Evolving Systems.
  45. V.N.  Stavrou, I.G. Tsoulos, O.T. Kosmas,  Spin-flip relaxation mechanism in Self-Assembled Quantum Dots via phonon emission, Molecular Crystals and Liquid Crystals 701, pp. 40-47, 2020.
  46. Nikolaos Anastasopoulos, Ioannis G. Tsoulos, Evangelos Karvounis, Alexandros Tzallas, Locate the bounding box of neural networks with intervals, accepted for publication in Neural Processing Letters.
  47. Ioannis G. Tsoulos, Evangelos Karvounis, Alexandros Tzallas, A novel sampling technique for multistart based methods, accepted for publication in SN Computer Science.
  48. V.N. Stavrou, I.G. Tsoulos, Nikos E. Mastorakis, Transformations for FIR and IIR Filters’ Design, Symmetry 13, pp. 533, 2021.
  49. Violaris, I.G.; Kalafatakis, K.; Zavala, E.; Tsoulos, I.G.; Lampros, T.; Lightman, S.L.; Tsipouras, M.G.; Giannakeas, N.; Tzallas, A.; Russell, G.M. Modelling Hydrocortisone Pharmacokinetics on a Subcutaneous Pulsatile Infusion Replacement Strategy in Patients with Adrenocortical Insufficiency. Pharmaceutics 2021, 13, 769. https://doi.org/10.3390/pharmaceutics13060769
  50. Vasileios Charilogis, I.G. Tsoulos, MinCentre: using clustering in global optimisation, International Journal of Computational Intelligence Studies 11, pp. 24-35, 2022.
  51. VN Stavrou, IG Tsoulos, Coupled quantum dots: spin based qubits, Molecular Crystals and Liquid Crystals 721, pp. 45-50, 2021.
  52. Alexandros Arjmand, Vasileios Christou , Ioannis G. Tsoulos , Markos G. Tsipouras, Alexandros T. Tzallas, Christos Gogos, Euripidis Glavas, Nikolaos Giannakeas, An Evolutionary Algorithm-based Optimization Method for the Classification and Quantification of Steatosis Prevalence in Liver Biopsy Images, Array 11, 2021.
  53. Ioannis G. Tsoulos, Nikolaos Anastasopoulos, Georgios Ntritsos, Alexandros Tzallas, Train RBF networks with a hybrid genetic algorithm, accepted for publication in Evolutionary Intelligence.
  54. Ioannis G. Tsoulos, Alexandros Tzallas, An improved multistart based method for global optimization problems, accepted for publication in International Journal of Computational Intelligence Studies.
  55. Nikolaos Anastasopoulos, Ioannis G. Tsoulos, Alexandros Tzallas, GenClass: A parallel tool for data classification based on Grammatical Evolution, accepted for publication in SoftwareX, 2021.
  56. Vasileios Charilogis, I.G. Tsoulos, Alexandros Tzallas,
    Nikolaos Anastasopoulos, An improved Controlled Random Search method,  Symmetry 11, pp. 1981, 2021.
  57. V. Christou, A. Arjmand, D. Dimopoulos, D. Varvarousis, I. Tsoulos,  A.T. Tzallas, C. Gogos, M.G. Tsipouras,  E. Glavas,  A. Ploumis, Automatic Hemiplegia Type Detection (Right or Left) Using the Levenberg-Marquardt Backpropagation Method. Information 13, 2022.
  58. Vasileios Charilogis , Ioannis G. Tsoulos , Alexandros Tzallas, Evangelos Karvounis, Modifications for the Differential Evolution Algorithm, Symmetry 14, 2022.
  59. T. S. Kosmas, I. Tsoulos, O. Kosmas, P. G. Giannaka, Evolution of Hot and Dense Stellar Interiors: The Role of the Weak Interaction Processes, Front. Astron. Space Sci. 8:763276, 2022.
  60. Ioannis G. Tsoulos, Alexandros Tzallas, Evangelos Karvounis, A Two-Phase Evolutionary Method to Train RBF Networks, Applied Sciences 12, 2022
  61. Ioannis G. Tsoulos, Constructing Features Using a Hybrid Genetic Algorithm, Signals 2, pp. 174-188, 2022.
  62. Evangelos D. Spyrou, Ioannis G. Tsoulos, Chrysostomos Stylios,  Applying and Comparing LSTM and ARIMA to Predict CO Levels for a Time-Series Measurements in a Port Area, Signals 3, pp. 235-248, 2022.
  63. Vasileios Charilogis, Ioannis G. Tsoulos, Towards an Ideal Particle Swarm Optimizer for Multidimensional Functions, Information 13, 2022.
  64. Ioannis G. Tsoulos, Alexandros Tzallas, Evangelos Karvounis, RbfDeSolver: a software tool to approximate differential equations using Radial Basis Functions, Axioms 11, pp. 294, 2022.
  65. Ioannis G. Tsoulos, Alexandros Tzallas, Evangelos Karvounis, A rule based method to locate the bounds of neural networks, Knoweledge 2, pp. 412-428, 2022.
  66. Ioannis G. Tsoulos, Nikolaos Anastasopoulos, Evangelos Dermatas,  Evaggelos Karvounis, Language inference using Elman networks with evolutionary training, Accepted for publication in Signals.
  67. Ioannis G. Tsoulos, QFC: a parallel software tool for feature construction, based on Grammatical Evolution, Algorithms 15, 2022.
  68. Ioannis G. Tsoulos, Learning functions and classes using rules, accepted for publicaiton in AI.
  1. V. Dimakopoulos, A. Kinalis, E. Pitoura, I. Tsoulos, On Deploying and Executing Data – Intensive Code on Smart Autonomous Storage (SmAS) Disks. ADBIS-DASFAA, pp. 323-330, 2000.
  2. G. Tsoulos, I.E. Lagaris, A. Likas. Piecewise Neural Networks for Function Approximation, Cast in a Form Suitable for Parallel Computation, SETN 2002, pp. 314-324, 2002.
  3. Gavrilis, I.G. Tsoulos, E. Dermatas. Feature Selection for Robust Detection of Distributed Denial-of-Service Attacks Using Genetic Algorithms. SETN 2004, 276-281.
  4. G. Tsoulos, I. E. Lagaris, A. Likas. Piecewise continuous approximation of two – dimensional functions using neural networks. Hellenic Conference on Artificial Intelligence 2004 , Springer Verlang.
  5. G. Tsoulos, D. Gavrilis, E. Glavas, Neural Network Construction using Grammatical Evolution. 5th IEEE International Symposium on Signal Processing and Information Technology. 18-21 December 2005, ISBN: 0-7803-9313-9 , pp. 827-831 .
  6. Gavrilis, I. Tsoulos, E. Dermatas, Stochastic Classification of Scientific Abstracts. Accepted in Specom 2005.
  7. Gavrilis, I. Tsoulos, E. Dermatas, Evolutionary Grammar Induction for Protein Relation Extraction. Accepted in Specom 2005.
  8. Gavrilis, G. Georgoulas, I. G. Tsoulos, Classification of Fetal Heart Rate using Grammatical Evolution. IEEE 2005 Workshop on Signal Processing Systems. 2-4 Nov. 2005, ISBN: 0-7803-9333-3 , pp. 425-429.
  9. Dimitris Gavrilis, Ioannis G. Tsoulos, Evangelos Dermatas: Neural Recognition and Genetic Features Selection for Robust Detection of E-Mail Spam. SETN 2006: 498-501
  10. Tsoulos, G. Georgoulas, D. Gavrilis, C. Stylios, J. Bernades, P. Groumpos, Introducing Grammatical Evolution for FHR Analysis and classification. Accepted for publication in IEEE-IS’06.
  11. A. Stavrakoudis, I.G. Tsoulos, F. Hudecz, K. Uray, Homology modeling and molecular dynamics simulations of the SAPDTRPAP peptide bound in the H-2Kb HLA class I molecule, 10th medicinal chemistry conference, Patras, March 2009.
  12.  I.G. Tsoulos,P. Vasant, Product Mix Selection Using an Evolutionary Technique, POWER CONTROL AND OPTIMIZATION: Proceedings of the Second Global Conference on Power Control and Optimization 1159, pp. 240-247,2009.
  13. I.S. Kardaras, V.N. Stavrou, I.G. Tsoulos, T.S. Kosmas, Calculations of μ − wavefunctions in mounic atoms using a genetic algorithm, In proceedings of ICCMSE 2009, 29 September – 4 October 2009, Rhodes, Grecce.
  14. I.S. Kardaras , V.N. Stavrou , I.G. Tsoulos , T.S. Kosmas,  Nuclear muon capture rates by using relativistic muon wavefunctions, 18th Symposiun of the Hellenic Nuclear Physics Society, Institute of Nuclear Physics – NSCR ”Demokritos”, 29-30 May 2009
  15. I.S. Kardaras ,V.N. Stavrou,I.G. Tsoulos, T.S. Kosmas, Detailed calculations for muon capture rates within the quasi-particle RPA, 19th Symposiun of the Hellenic Nuclear Physics Society, Institute of Nuclear Physics – NSCR ”Demokritos”
  16. D. Gavrilis, I.G. Tsoulos, S. Angelis, Building Interactive Books using EPUB and HTML5. AMBI SYS, 2013.
  17. K Soltanian, FA Tab, FA Zar, I Tsoulos, Artificial Neural Networks Generation Using Grammatical Evolution, icee2013.
  18. Ioannis G. Tsoulos, Alexandros T. Tzallas, Evripidis Glavas, A-Class: a novel classification method in PCI ’14 Proceedings of the 18th Panhellenic Conference on Informatics, pp. 1-2, 2014.
  19. Papapetropoulos, S., Espay, A., Tsoulos, I., Mendoza, E., Stavrakoudis, A., & Mitsi, G. (2015, June). Objective monitoring of motor function using the tablet-based mobile application (iMotor): A feasibility study and patient satisfaction survey. In MOVEMENT DISORDERS (Vol. 30, pp. S109-S109). 111 RIVER ST, HOBOKEN 07030-5774, NJ USA: WILEY-BLACKWELL.
  20. Ioannis Tsoulos, Alexandros T Tzallas, Dimitrios G Tsalikakis, Nikolaos Giannakeas, Markos G Tsipouras, Iosif Androulidakis, Elena Zaitseva, NeuralGenesis: A software for distributed neural network training, Telecommunications Forum (TELFOR), 2016 24th, pp. 1-4, 2016.
  21. Alexandras T Tzallas, Ioannis Tsoulos, Markos G Tsipouras, Nikolaos Giannakeas, Iosif Androulidakis, Elena Zaitseva, Classification of EEG signals using feature creation produced by grammatical evolution, Telecommunications Forum (TELFOR), 2016 24th, pp. 1-4, 2016.
  22. Ioannis Tsoulos, Athanassios Stavrakoudis, Georgia Mitsi, Spiridon Papapetropoulos, Machine learning algorithms applied to digital biomarker data (iMotor) discriminate Parkinson’s motor status (P3. 042), Neurology 90, pp. 42, 2018.
  23. IS Kardaras, VN Stavrou, IG Tsoulos, TS Kosmas, Detailed calculations for muon capture rates within the quasi-particle RPA, HNPS Proceedings 18, pp. 75-180, 2019.
  24. IS Kardaras, VN Stavrou, IG Tsoulos, TS Kosmas, Nuclear muon capture rates by using relativistic muon wavefunctions, HNPS Proceedings 18, pp. 55-61, 2019.

Reviewer for the following journals and conferences

  1. IEEE Transactions on Evolutionary Computation
  2. Journal of Computational and Applied Mathematics
  3. Information Sciences
  4. Applied mathematics and Computation
  5. Computers & Mathematics with Applications
  6. Mathematical and Computational Applications
  7. Journal of Franklin Institute.
  8. At the conference ICLICC 2011
  9. The International Journal for Computers and Their Applications
  10. Mathematical and Computer Modeling
  11. Journal of Applied Mathematics and Computing
  12. Numerical Algorithms
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