Dr. Andreas Reppas
Dr. Andreas Reppas research interests lie on the development and implementation of computational methods for the analysis of the dynamics of multiagent systems. He is mainly focus on the study of multi-cellular systems as distributed information processing entities which encode, store, and transmit information via their interconnected pathways. Such an approach can provide interesting insights on how the cells store information (i.e. having memory) and how much information a cell can transfer reliably to its interacting neighbors (i.e. the capacity of the communication channel).
Dr. Andreas Reppas holds a Ph.D in Multiscale Analysis of Network-based Epidemic Systems (12/2011) from the National Technical University of Athens where he worked under the Supervision of Prof. Constantinos Siettos. After obtaining his Ph.D he continued as a Postdoc researcher at Max-Planck Institute for Informatics in Saarbrücken where he worked in the Computational Analysis of disease spreading. He joined the group of “Multiscale Modeling of Multicellular Systems” in July 2013.
9. A.I. Reppas, E. A. Jorswieck, H. Hatzikirou (2016), “On the principles of cell decision-making: intracellular coupling improves cell responses fidelity of noisy signals” (in review in Physical Review Letters).
8. A.I. Reppas, G. Lolas, A. Deutsch, H. Hatzikirou (2016), “The extrinsic noise effect on lateral inhibition differentiation waves", ACM Transactions on Modeling and Computer Simulation, Volume 26, Issue 3.
7. Henrik Klessig, David Öhmann, Andreas I. Reppas, Haralampos Hatzikirou, Majid Abedi, Meryem Simsek and Gerhard Fettweis (2016), “From Immune Cells to Self-Organizing Ultra-Dense Small Cell Networks", JSAC Energy-Efficient Techniques for 5G Wireless Communication Systems, IEEE Journal on Selected Areas in Communications, Volume 34, Issue 3, pp 800-811.
6. A. I. Reppas, J. C. L. Alfonso and H. Hatzikirou (2015), “In silico tumor control induced via alternating immunostimulating and immunosuppressive phases", Virulence, Volume 7, Issue 2, pp 174-186.
5. A.I. Reppas, K. G. Spiliotis, C. I. Siettos (2015), “Tuning the average path length of complex networks and its influence to the emergent dynamics of the majority-rule model", Mathematics and Computers in Simulation, Volume 109, pp. 186–196.
4. A.I. Reppas, Y De Decker, C. I. Siettos (2012), “On the efficiency of the Equation-Free closure of statistical moments: Dynamical properties of a stochastic epidemic model on Erdös-Rényi networks", Journal of Statistical Mechanics: Theory and Experiment, P08020.
3. A.I. Reppas, K. G. Spiliotis, C. I. Siettos (2012), “On the effect of the mean path length of small-world networks on epidemic dynamics", Virulence, Volume 3, Issue 2, pp. 146-153.
2. A.I. Reppas, K. G. Spiliotis, C. I. Siettos (2010), “Epidemionics: From the host-host interactions to the systematic analysis of the emergent macroscopic dynamics of epidemic networks", Virulence, Volume 1, Issue 4, pp. 338-349.
1. A.I. Reppas, A. C. Tsoumanis, C. I. Siettos (2010), “Coarse-grained bifurcation analysis and detection of criticalities of an individual-based epidemiological network model with infection control", Applied Mathematical Modelling, Volume 34, Issue 3, pp. 552-560.
3. E. A. Jorswieck, A.I. Reppas, H. Hatzikirou (2014), “Encoding of cellular positional information and maximum capacity of parallel coupled channels", 2014 Information Theory and Applications Workshop, 2-9 February 2014, San Diego, USA.
2. A.I. Reppas, G Lawyer (2012), “Low k-shells identify bridge elements critical to disease flow in small-world networks", ICNAAM 2012, 10th International Conference of Numerical Analysis and Applied Mathematics, 19-25 September 2012, Kos, Greece.
1. Andreas Reppas, Andreas C Tsoumanis, Constantinos Siettos (2008), “The influence of infection control policies: A systematic study of the dynamics of an individual-based epidemic model with isolation", BioInformatics and BioEngineering, 2008. BIBE 2008. 8th IEEE International Conference on. IEEE, 2008, Athens, Greece.