Gabi Escuela

Gabi Escuela       

PhD Student

Friedrich Schiller University Jena
Faculty of Mathematics and Computer Science
Institute of Computer Science
Bio Systems Analysis Group
Ernst-Abbe-Platz 2, Room 3430
D-07743 Jena, Germany
Phone: +49 3641 946461
Email: gabi.escuela (at)

Research Interests

In a broad sense, Natural Computing, that is, computing inspired by nature and computing taking place in nature, constitutes my research field of interest. At present, my work is focusing on developmental processes occurring in biological systems. The objective is both model such systems in terms of information processing, and capture some mechanisms that could be introduced in data structures and algorithms in order to solve engineering problems.
My favorite research subfields are: Artificial Chemistries, Evolutionary Computation, Systems Biology, Unconventional Computing.

Studies and Research

Related Activities

Co-organiser of the 1st COBRA Summer School on Biological and Chemical IT, 9-21 September 2012, San Candido, Italy.
J. Behre, G. Escuela, T. Hinze (Eds.), Proceedings Compendium of the Fourth Workshop on Membrane Computing and Biologically Inspired Process Calculi (MeCBIC2010) and of the First Workshop on Applications of Membrane Computing, Concurrency, and Agent-based Modelling in Population Biology (AMCA-POP2010), ISBN 978-3-86805-767-6, , Verlag ProBusiness Berlin, 238 p., 2010.
PC Member and co-organiser of the Eleventh International Conference on Membrane Computing (CMC11) (24-27 August 2010, Jena, Germany) and the Satellite Workshop Applications of Membrane computing, Concurrency and Agent-based modelling in POPulation biology (AMCA-POP) (25 August 2010, Jena, Germany)


DBLP index
  • P. Kreyssig, G. Escuela, B. Reynaert, T. Veloz, B. Ibrahim, and P. Dittrich. Cycles and the Qualitative Evolution of Chemical Systems. PLoS ONE 7(10): e45772. 2012. [pdf]

  • G. Gruenert, J. Szymanski, J. Holley, G. Escuela, A. Diem, B. Ibrahim, A. Adamatzky, J. Gorecki, and P. Dittrich. Multi-scale Modelling of Computers made from Excitable Chemical Droplets. International Journal of Unconventional Computing, (in press), 2012.

  • G. Gruenert, G. Escuela, P.Dittrich. Symbol representations in Evolving Droplet Computers. J. Durand-Lose, N. Jonoska (Eds.): Unconventional Computation and Natural Computation - 11th International Conference, UCNC 2012, Orléan, France, September 3-7, 2012. Proceedings. Lecture Notes in Computer Science 7445 Springer 2012, ISBN 978-3-642-32893-0.

  • G. Gruenert, G. Escuela, P. Dittrich, T. Hinze. Morphological Algorithms: Membrane Receptor-ligand Interactions and Rule-based Molecule Graph Evolution for Exact Set Cover Problem. Proceedings of the Twelfth Conference on Membrane Computing 2011 (CMC12), Fontainebleau/Paris, France, 23-26 August, 2011.

  • M. Goncalves, I. Martínez, G. Escuela, F. Di Bartolo, and F. Sardá. An Evolutionary Algorithm for Skyline Query Optimization. Book chapter in R. Chiong, T. Weise and Z. Michalewicz (Eds.), Variants of Evolutionary Algorithms for Real-World Applications, Springer-Verlag, 2011.

  • G. Escuela, T. Hinze, P. Dittrich, S. Schuster, M. Moreno-Álvarez. Applying Membrane Systems in Food Engineering. In M.A. Martínez-del-Amor, Gh. Paun, I. Pérez-Hurtado, A. Riscos-Nuñez (Eds.), Eighth Brainstorming Week on Membrane Computing (BWMC 2010). Fénix Editora, 2010, ISBN 978-84-614-2357-6. [pdf]

  • G. Escuela, M.A. Gutiérrez-Naranjo. An application of Genetic Algorithms to Membrane Computing. In M.A. Martínez-del-Amor, Gh. Paun, I. Pérez-Hurtado, A. Riscos-Nuñez (Eds.), Eighth Brainstorming Week on Membrane Computing (BWMC 2010). Fénix Editora, 2010, ISBN 978-84-614-2357-6. [pdf]

  • G. Escuela, T. Hinze, P. Dittrich, S. Schuster, M. Moreno-Álvarez. Modelling Modified Atmosphere Packaging for Fruits and Vegetables using Membrane Systems. In A. Fred, J. Filipe, H. Gamboa (Eds.), Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing BIOSIGNALS 2010. IEEE Engineering in Medicine and Biology Society, Institute for Systems and Technologies of Information Control and Communication, ISBN 978-989-674-018-4, pp. 306-311, INSTICC press, 2010. [pdf]

  • T. Hinze, T. Lenser, G. Escuela, I. Heiland, S. Schuster. Modelling Signalling Networks with Incomplete Information about Protein Activation States: A P System Framework of the KaiABC Oscillator. In G. Paun, M.J. Perez-Jimenez, A. Riscos-Nunez, G. Rozenberg, A. Salomaa (Eds.), Membrane Computing. Proceedings Tenth International Workshop on Membrane Computing (WMC10). Revised, Selected and Invited Papers, Series Lecture Notes in Computer Science, ISBN 978-3-642-11466-3, Vol. 5957, pp. 316-334, © Springer Verlag, 2010 [pdf]

  • T. Hinze, R. Fassler, G. Escuela, B. Ibrahim, S. Schuster. Computation by Synthetic Cell Signaling and Oscillating Processes Modelled using Mass-Action Kinetics. In K. Ambos-Spies, B. Löwe, W. Merkle (Eds.), Proceedings Booklet Fifth Conference on Computability in Europe (CiE2009), pp. 186-195, University of Heidelberg, Germany, 2009. [pdf]

  • G. Escuela, Y. Cardinale, J. González. A Java-based Distributed Genetic Algorithm Framework. 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 07). Patras, Greece. October, 2007. [pdf]

  • M. Rebolledo, G. Escuela, J. Moreno. Una Herramienta Gráfica para Visualizar Proteínas. LVII Convención Anual de la Asociación Venezolana para el Avance de la Ciencia ASOVAC. San Cristóbal, Venezuela. December, 2007. [pdf]

  • G. Escuela. Algoritmos Evolutivos con representación basada en Sistemas-L para el Problema del Replegado de las Proteínas. Master Thesis. Universidad Simón Bolívar. January, 2006. [pdf]

  • G. Ochoa, G. Escuela, N. Krasnogor. Incorporating knowledge of secondary structures in a L-system-based encoding for protein folding. In Proceedings of the 2005 Conference on Artificial Evolution, volume 3871 of Springer Lecture Notes in Computer Science, pages 247-258. Lille, France, October 2005. Springer. ISBN 3-540-33589-7. [pdf]

  • G. Escuela, G. Ochoa, N. Krasnogor. Evolving L-systems to capture protein structure native conformations. In Pierre Collet-Jano van Hemert-Marco Tomassini Maarten Keijzer, Andrea Tettamanzi (Eds.), 8th European Conference on Genetic Programming, volume 3447 of Springer Lecture Notes in Computer Science, pages 73-83. Lausanne, Switzerland. March, 2005. EuroGP, Springer Berlin Heidelberg. ISBN 978-3-540-25436-2. Nominated for Best Paper Award. [pdf]