Talks & Tutorials

Tutorials

1. P. Lecca, "Tutorial," 2010 Fourth UKSim European Symposium on Computer Modeling and Simulation, 2010, pp. xxii-xxiii, doi: 10.1109/EMS.2010.12 (here)

Talks

1. 2025-05-16, The landscape of gene expression in chronic myeloid leukaemia, Computational Multiomics: from Big Data to Insights, NOI Techpark, Bolzano-Bozen May 16, 2024 (Invited speaker)

2. 2023-07-16, The Determination of the Latent Geometry of a Network and its Structural and Dynamical Implications, 2023 5th International Applied Mathematics, Modelling and Simulation Conference (AMMS 2023), (Invited speaker) 

3. 2022-12-07, Checking for non-Euclidean latent geometry of biological networks", 1st  International Workshop on Foundations of Network Analysis held in conjunction with IEEE BIBM 2022, 6-8 December 2022.

4. 2022-09-08, Uncovering the geometry of protein interaction network: the case of SARS-CoV-2 protein interactome, 11th International Conference on Mathematical Modeling in Physical Sciences, September 5-8, 2022.

5. 2022-06-18, New Proposal of Power Series Method to Solve The Navier-Stokes Equations: Application Contexts And Perspectives, 4th International Conference of Applied Mathematics, Modelling and Simulations, Paris, France, June 17-19, 2022.

6. 2021-12-09, Analysis of SARS-CoV-2 protein interactome map, IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2021) - Workshop on Integrative Data Analysis in Systems Biology (IDASB 2021), 9-12 December 2021 - Virtual online conference.

7. 2021-09-06, The effects of gravitational potential on chemical reaction rates, Journal of Physics: Conference Series, Volume 2090, 10th International Conference on Mathematical Modeling in Physical Sciences (IC-MSQUARE 2021), 6-9 September 2021, Greece (Virtual)

8. 2021-09-06, On the asymptotic stability of advection-diffusion equations of mass transport in a bubble column bioreactor, Journal of Physics: Conference Series, Volume 2090, 10th International Conference on Mathematical Modeling in Physical Sciences (IC-MSQUARE 2021), 6-9 September 2021, Greece (Virtual)

9. 2021-06-25, The theory of active agents for simulating dynamical networks and its $\pi$-calculus specification, 3rd International Applied Mathematics, Modelling and Simulation Conference (AMMS 2021), June 24-26, 2021.; best presentation awarded.

10. 2020-12-16, Stiffness estimate of information propagation in biological systems modelled as spring networks, International Workshop on Biological Network Analysis and Integrative Graph-Based Approaches, Mingon Kang, Ananda - 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

11. 2020-11-13, A network analysis computational pipeline to detect altered gene pathways in chronic myeloid leukemia, Free Software Conference, Bozen-Bolzano, Italy

12. 2020-10-27, Computing organoids’ volume in medical images: the case study of cystic fibrosis, 2020 IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB 2020, October 27-29, 2020)

13. 2020-09-25,  A Computational Control Theory Approach to the Analysis of Virus-Host Interactome in Covid-19, ACM - WonEncourage 2020, September 24-25, 2020.

14. 2020-06-20 Comparative dynamic network analysis to detect altered pathways in chronic myeloid leukemia human cell model, 24TH INTERNATIONAL CONFERENCE ON RESEARCH IN COMPUTATIONAL MOLECULAR BIOLOGY, 22-25 June 2020.

15. 2018-11-18 Multilinear Regression Analysis of Sweat Secretion Volumes in Cystic Fibrosis, Proceedings of FRUCTì23, Bologna (Italy), 13-16 November 2018 (here).

16. 2018-08-29 Phase-space analysis of chaotic deterministic dynamics with Python: the case of biological systems with many degrees of freedom, EuroSciPy 11th European Conference on Python in Science 2018, Fondazione Bruno Kessler, 28-29 August 2018, Italy. 

17. 2018-06-06 CORVO: a software tool for computing volume of complex biological structures in medical images and videos, SIAM Conference on Imaging Science, June 5-8, 2018, Bologna, Italy.

18. 2016-11-18, Inference and models of complex biological syste,s, Cimec, University of Trento, Italy.

19. 2016-10-14, Developing computational models for complex systems simulation. Efficient computing: an interest common to biology and astrophysics, Department of Civil; Environmental and Mechanical Engineering, Italy.

20. 2016-09-26, Multistep theory of carginogenesis: a new predictive model of age incidence of chronyc Myeloid Leukemia, Department of Medicine, University of Verona, Italy

21. 2015-10-29, Hybrid stochastic-deterministic models for simulation of biochemical systems, Department of Mathematics, University of Trento, Italy

22. 2014-09-30, Cancer, Systems and Complexity School and Workshop, TO-DAG: a new graph-based timed model for cumulative cancer progression. Como; Italy

23. 2011-10-14, NETTAB 2011- Clinical Bioinformatics, Spatial pharmacokinetic-toxicokinetic modelling, Pavia, Italy

24. 2009-04-28, On the mathematical structure and algorithmic implementation of biochemical network models, Int. Conference on Cellular and Molecular Biology, World Academy of Science, Engineering and Technol, Rome 28 April, 2009.

25. 2007-06-01 Which algorithm for emulating the chemical interactions in biomolecular systems? Department of Mathematics of University of Trento.

26. 2007-08-28 Stochastic formalisms and algorithms to model and simulate biological interactions Institute for Systems Biology, Seattle

27. 2011-09-12: The 23rd European Modeling & Simulation Symposium (EMSS 2011), Calibration of process algebra models of discretely observed stochastic biochemical systems, Rome Italy.

28. 2003-09-06 Cell cycle control in Eukaryotes: a BioSpi model BioConcur 2003, Marseille, France

29. 2004-03-14 Predicting cell adhesion probability via the biochemical stochastic pi-calculus ACM Symposium on Applied Computing, Nicosia, Cyprus

30. 2006-04-24 A time-dependent extension of Gillespie algorithm for biochemical stochastic pi-calculus ACM Symposium on Applied Computing 2006, Dijon, France.

31. 2006-11-07 Simulating kinetic in living systems. Collecting useful data for in silico experiments. CoSBi

32. 2007-03-26 Quantitative data for simulating biochemical systems Fondazione Cariplo, Milano

33. 2007-09-07 A simple model for inferring kinetic parameters in biochemical reactions Institute for System Biology, Seattle

34. 2007-10-10 Molecular mechanisms of glutamate-triggered brain glucose metabolism Istituto Italiano Studi Filosofici, Napoli

35. 2007-10-11 Glutamate-triggered brain glucose metabolism: a parametric model from FDG-PET-scans Brain, Vision and Artifical Intelligence Symposium, Naples, Italy

36. 2008-06-30 Estimating the kinetics of Na+ and Ca2+ waves in astrocytes ICAM-ECCOMAS Congress Venezia Lido, Italy.

37. 2008-07-12 Modeling and estimation of cellular mechanisms of cerebral glucose metabolism from dynamic Positron Emission Tomography scans Forum of European Neuroscience, Geneva, Switzerland .

38. 2008-06-04, Identification of rate coefficients in dynamic models of biochemical systems, European Conference of Mathematical and Theoretical Biology, Edinburg, Scottland.

39. 19-09-2008, KInfer: a software tool for parameter inference in models of biochemical networks, XIX Congress Sibpa 2008 Rome, 2008.

40. 29-10-2008, Dynamics of reaction-diffusion systems in non-homogeneous media, Int. Conference on Bioinformatics and Biomedicine 2008, Venice, Italy.

41. 24-03-2009, On the deduction of chemical reaction rate constants from measurements of time series of concentration, The Microsoft Research Cambridge 2009.

42. 25-03-2009, Deducing chemical reaction rate constants and their regions of confidence\\ from noisy measurements of time series of concentration, 11th Int. Conference on Computer Modelling and Simulation, Emmanuel College Cambridge, 2009.