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Publications

Research Gate page.

Articles in Scientific Journals

  1. T. Weizhong, D.A. Figueroa, L. Donglin, J. Kerstin and A. Sopasakis, Fingerprint Synthesis From Diffusion Models And Generative Adversarial Networks, accepted, Future of Information and Communication Conference 2025, to be held on 28 & 29 April 2025 in Berlin, Germany.
  2. D. Liu and A. Sopasakis, A neural ODE approach to resolve dynamics and detect parameters for SIR models with memory, submitted, Heliyon 2024.
  3. D. Pjanić, A. Sopasakis, F. Tufvesson and A. Reial, Early-Scheduled Handover Preparation in 5G NR Millimeter-Wave Systems submitted to IEEE Open Journal of the Communications Society, Aug 2024.
  4. H Zou, A Sopasakis, F Maillard, E Karlsson, J Duljas, S Silwer, P Ohlsson, and E.C. Hammer, Bacterial community characterization by deep learning aided image analysis in soil chips, Ecological Informatics 81,

  5. Åström, O.; Hedlund, H.; Sopasakis, A*. Machine-Learning Approach to Non-Destructive Biomass and Relative Growth Rate Estimation in Aeroponic Cultivation. Agriculture 2023, 13, 801. https://doi.org/10.3390/agriculture13040801, *Corresponding author.

  6. Bogdanovski, O.P.; Svenningsson, C.; Månsson, S.; Oxenstierna, A.; Sopasakis, A*. Yield Prediction for Winter Wheat with Machine Learning Models Using Sentinel-1, Topography, and Weather Data. Agriculture 2023, 13, 813. doi: 10.3390/agriculture13040813, *Corresponding author.

  7. Camilla Broms, Mikael Nilsson, Andreas Oxenstierna, Alexandros Sopasakis* and Karl Åström (2022), Combined analysis of satellite and ground data for winter wheat yield forecasting, Accepted Aug. 2022, Smart Agricultural Technology, To Appear 2022. *corresponding author.

  8. Pjanić, D., Sopasakis, A., Tataria, H., Tufvesson, F., & Reial, A. (2021). Learning-Based UE Classification in Millimeter-Wave Cellular Systems With Mobility. I IEEE International Workshop on Machine Learning for Signal Processing (MLSP) IEEE - Institute of Electrical and Electronics Engineers Inc. Sept. pp.1-6, 2021. doi.org/10.1109/MLSP52302.2021.9596275

  9. F. Berglind, J. Chen, and A. Sopasakis, Deep Distributional Temporal Difference Learning for Game Playing (2021), Intelligent Systems in Industrial Applications. Stettinger, M., Leitner, G., Felfernig, A. & Ras, Z. W. (eds.), Springer Science, Studies in Computational Intelligence; vol. 949, pp. 192-206, 2021.
  10. Tick based clustering methodologies establishing support and resistance levels in the currency exchange market, (2020), Karl Tengelin, A. Sopasakis. National Accounting Review, Vol. 2, Issue 4: 354-366, Oct. 2020. doi: 10.3934/NAR.2020021.
  11. Network evolution and forecasting from real time images using using neural networks, (2020) Chapter in Contribution to Statistics, Theory and applications of time series analysis, Editors: Olga Valenzuela, Fernando Rojas, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas. Springer, A. Sopasakis, Dec 19. pg. 287--304, 2020.
  12. Latent space conditioning for improved classification and anomaly detection, (2019) arXiv:1911.10599 in Computer Science and Machine Learning, Erik Norlander and A. Sopasakis, Nov. 2019.
  13. Traffic demand and longer term forecasting from  real-time observations, (2019) A. Sopasakis, Proc. of the International Conference on Time Series and Forecasting ITISE, Granada, pp. 1247-1259, Sept. 2019.
  14. Information metrics for improved traffic model fidelity through sensitivity analysis and data assimilation, A Sopasakis, MA Katsoulakis, (2016) Transportation Research Part B: Methodological 86, pp.1-18, 2016.
  15. Novel Updating Mechanisms for Stochastic Lattice-Free Traffic Dynamics, (2014) A Sopasakis, Progress in Industrial Mathematics at ECMI 2012, 285-289, 2014.
  16. Traffic updating mechanisms for stochastic lattice-free dynamics (2013)Sopasakis, Alexandros In Procedia Social and Behavioral Sciences 80. pp.837-845, 2013.
  17. Lattice Free Stochastic Dynamics, (2012) Sopasakis, Alexandros In Communications in Computational Physics 12(3), pp.691-702, 2012.
  18. Hybrid deterministic stochastic systems with microscopic look-ahead dynamics (2010) Katsoulakis, M.A.; Majda, A.J. and Sopasakis, Alexandros In Communications in Mathematical Sciences 8(2), pp.409-437, 2010.
  19. Stochastic description of traffic flow,(2008) Alperovich, Timur and Sopasakis, Alexandros In Journal of Statistical Physics 133(6), pp.1083-1105, 2008.
  20. Convergence of a hp-streamline diffusion scheme for Vlasov-Fokker-Planck system(2007) Asadzadeh, M. and Sopasakis, Alexandros In Mathematical Models and Methods in Applied Sciences 17(8), pp.1159-1182, 2007.
  21. Stochastic modeling and simulation of multi-lane traffic (2007) Dundon, N. and Sopasakis, Alexandros 17th International Symposium on Transportation and Traffic Theory (ISTTT) In Transportation and Traffic Theory 2007, pp.661-689, 2007.
    Conference with harder than Peer-Review process.
  22. Prototype hybrid couplings of macroscopic deterministic models and microscopic stochastic lattice dynamics (2007) Katsoulakis, M.A.; Majda, A.J. and Sopasakis, Alexandros In Contemporary Mathematics 429, pp.143-187, 2007.
  23. Intermittency, metastability and coarse graining for coupled deterministic-stochastic lattice systems (2006) Katsoulakis, M.A.; Majda, A.J. and Sopasakis, Alexandros In Nonlinearity 19(5), pp.1021-1047, 2006.
    One of the 10 most downloaded articles in Nonlinearity for 2006.
  24. A nodal method for absorption-diffusion problems(2006) Asadzadeh, M. and Sopasakis, Alexandros In Applied and Computational Mathematics 5(1), pp.45-58, 2006.
  25. Stochastic modeling and simulation of traffic flow: asymmetric single exclusion process with Arrhenius look-ahead dynamics (2006) Sopasakis, Alexandros and Katsoulakis, Markos In SIAM Journal on Applied Mathematics 66(3), pp.921-944, 2006.
  26. Error analysis of coarse-graining for stochastic lattice dynamics(2006) Katsoulakis, Markos; Plechac, Petr and Sopasakis, Alexandros In SIAM Journal on Numerical Analysis 44(6), pp.2270-2296, 2006.
  27. Multiscale couplings in prototype hybrid deterministic/stochastic systems. II. Stochastic closures (2005) Katsoulakis, M.A.; Majda, A.J. and Sopasakis, Alexandros In Communications in Mathematical Sciences 3(3), pp.453-478, 2005.
  28. Error control and analysis in coarse-graining of stochastic lattice dynamics, (2005) M.A.Katsoulakis, P. Plechac and A. Sopasakis, arXiv.org: math/0509228, 2005.
  29. Stochastic noise approach to traffic flow modeling, (2004) Sopasakis, Alexandros In Physica. A 342(3-4), pp.741-754, 2004.
  30. Multiscale couplings in prototype hybrid deterministic/stochastic systems. I. Deterministic closures (2004) Katsoulakis, M.A.; Majda, A.J. and Sopasakis, Alexandros In Communications in Mathematical Sciences 2(2), pp.255-294, 2004.
  31. Formal asymptotic models of vehicular traffic. Model closures(2003) Sopasakis, Alexandros In SIAM Journal on Applied Mathematics 63(5), pp.1561-1584, 2003 (Based on portion of dissertation.)
  32. Unstable flow theory and modeling(2002) Sopasakis, Alexandros In Mathematical and Computer Modelling 35(5-6), pp.623-641, 2002. (Based on portion of dissertation)
  33. On fully discrete schemes for the Fermi pencil-beam equation (2002) Asadzadeh, M. and Sopasakis, Alexandros In Computer Methods in Applied Mechanics and Engineering 191(41-42), pp.4641-4659, 2002.
  34. The Chapman-Enskog Expansion: A Novel Approach To Hierarchical Extension Of Lighthill - Whitham Models (1999), P. Nelson and A. Sopasakis, in Transportation and Traffic Theory: Proceedings of the 14th International Symposium, A. Ceder (ed.), Pergamon, pp. 51-79, 1999.
    Conference with harder than Peer-Review process.
  35. The Prigogine-Herman kinetic model predicts widely scattered flow data at high concentrations (1998) Nelson, P. and Sopasakis, Alexandros In Transportation Research B 32(8), pp.589-604, 1998.
    (Transportation Research B is widely considered a leading journal in the area of the theory of vehicular traffic flow)
  36. A Novel Traffic Stream Model Deriving from a Bimodal Kinetic Equilibrium (1997), P. Nelson, D.D. Bui and A. Sopasakis, 8th IFAC (International Federation of Automatic Control) Symposium on Transportation Systems, M. Papageorgiou and A. Pouliezos, (eds.), Crete, Greece, pp. 799-804, 1997.
    Conference with harder than Peer-Review process.

PhD Thesis

   Developments in the theory of the Prigogine-Herman kinetic equation of vehicular traffic, Department of Mathematics, Texas A&M University, advisor Paul Nelson, May 2000.

Preprints/Other Publications

  1. Convergence of hp-finite element schemes for Vlasov--Poisson--Fokker--Planck system, with M. Asadzadeh. Preprint 2003:50, Department of Mathematics, Chalmers, Goteborg.
  2. On Fully Discrete Schemes for the Fermi Pencil-Beam Equation, with M. Asadzadeh. Preprint 2000:48, Department of Mathematics, Chalmers, Goteborg.
Sidansvarig:  | 2022-03-21