I am Full Professor of Computer Science at the School of Science and Technology, and
Coordinator of the PhD in Computer Science at the International School of Advanced Studies

Research and Education
I am leading the BioShape & Data Science Lab: A laboratory for exploring the power of Algebraic and Computational Topology with Formal Methods in the Data-driven modelling of complex systems such as interactions in RNA and Protein folding, and in the Immune System. I'm a member of Cosy Group.
My research interests include: formal methods and concurrency theory; interactive computation and agent-oriented modelling; S[B] paradigm & self-adaptive systems. Recently, I'm involved in topological and algorithmic field theory of data and data languages. Link

I coordinated the EU FP7 FET Project TOPDRIM: Topology driven methods for multilevel complex systems
I am member of the EU COST Action IC1405 Reversible Computation: extending horizons of computing
I am the PI of the EU Erasmus+ KA2 Project DA.RE: Data Science Pathways to re-imagine education
I have organized the 2nd EATCS Young Researchers School on Understanding COMPLEXITY and CONCURRENCY through TOPOLOGY of DATA

Incoming Events

Virtual Workshop on Topological Interactive Computation, 27 September 2019

Editor of special issues for the Theory of Natural Computing and for Complex Systems:
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                      to Nadia Busi

My Recent Publications:

Topological Interpretation of Interactive Computation dedicated to Scott A. Smolka. LNCS 11500 (2019)
Process calculi may reveal the equivalence lying at the heart of RNA and proteins Nature, Scientific Reports 9(1),559. (2019)
An algebraic language for RNA pseudoknots comparison BMC Bioinformatics 20(161). (2019)
A Persistent Entropy Automaton for the Dow Jones Stock Market FSEN - LNCS 11761 (2019)
Topological Classifier for Detecting the Emergence Epiletic Searures BMC Research Notes 11(1),392 (2018)
A new topological entropy-based approach for measuring similarities among piecewise linear functions Signal Processing 134, pp. 130-138 (2017)

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The Topological Field Theory of Data: mining data beyond complex networks , in Advances in Disordered Systems, Random Processes and Some Applications, eds P. Contucci, C. Giardina', Cambridge University Press (2016)
The Topological Field Theory of Data: a program towards a novel strategy for mining data through data language , J. Physiscs: Conf. Series 626 (2015)
Topology driven modeling - the Immune System metaphor Natural Computing, vol. 14, issue 3 (2015)
Non Locality, Topology, Formal Languages: New Global Tools to Handle Large Data Sets Proceedings of ICCS (2013)

Adaptability checking in complex systems Science of Computing Programming, vol. 115-116 (2016)
Topological Characterization of Complex Systems: Using Persistent Entropy Entropy, 17(10), 6872-6892, (2015)

Emanuela Merelli, School of Science and Technology
Division of Computer Science
University of Camerino
Last modified: January 2018