Chrono-environnement - UMR 6249 CNRS/UFC
Campus de la Bouloie
16 rue de Gray
25030 Besançon cedex
France
Antoine Perasso
Professeur – UMLP
DYNABIO, GEODE, PATHOGENES, POLLUTION
DYNABIO, GEODE, PATHOGENES, POLLUTION
antoine.perasso@-Code to remove to avoid SPAM-univ-fcomte.fr
bureau -110L (La Bouloie)
bureau -110L (La Bouloie)
Étudiant⋅e ou post-doc Chrono :
0000-0003-3890-8092 
antoine-perasso Mathématiques – Sciences de l’environnement – Sciences du Vivant
Présentation
Principaux domaines de compétences
- Modélisation en sciences du vivant : dynamique des populations, épidémiologie, écotoxicologie, interactions consommateurs/ressources, évolution du génome
- Systèmes dynamiques : EDPs structurées, EDO, stabilité, bifurcation
- Problèmes inverses – identifiabilité & identification paramétrique
Publications
30 documents
Articles dans une revue
- Antoine Perasso, Quentin Richard, Irene Azzali, Ezio Venturino. Well‐posedness, positivity, and time asymptotics properties for a reaction–diffusion model of plankton communities, involving a rational nonlinearity with singularity. Studies in Applied Mathematics, 2021, 146 (1), pp.211-232. ⟨10.1111/sapm.12345⟩. ⟨hal-03881336v2⟩
- Thibault Moulin, Antoine Perasso, Pierluigi Calanca, François Gillet. DynaGraM: A process-based model to simulate multi-species plant community dynamics in managed grasslands. Ecological Modelling, 2021, 439, pp.109345. ⟨10.1016/j.ecolmodel.2020.109345⟩. ⟨hal-03092517⟩
- Antoine Perasso, Quentin Richard. Asymptotic Behavior of Age-Structured and Delayed Lotka-Volterra Models. SIAM Journal on Mathematical Analysis, 2020, 52 (5), pp.4284-4313. ⟨10.1137/19M1261092⟩. ⟨hal-03881376⟩
- Antoine Perasso, Quentin Richard. Implication of age-structure on the dynamics of Lotka Volterra equations. Differential and integral equations, 2019, 32 (1-2), pp.91-120. ⟨10.57262/die/1544497287⟩. ⟨hal-03881413⟩
- Virgile Baudrot, Clémentine Fritsch, Antoine Perasso, Malay Banerjee, Francis Raoul. Effects of contaminants and trophic cascade regulation on food chain stability: Application to cadmium soil pollution on small mammals – Raptor systems. Ecological Modelling, 2018, 382, pp.33-42. ⟨10.1016/j.ecolmodel.2018.05.002⟩. ⟨hal-02124739⟩
- Thibault Moulin, Antoine Perasso, François Gillet. Modelling vegetation dynamics in managed grasslands: Responses to drivers depend on species richness. Ecological Modelling, 2018, 374, pp.22 - 36. ⟨10.1016/j.ecolmodel.2018.02.013⟩. ⟨hal-01779748⟩
- Michel Duprez, Antoine Perasso. Criterion of positivity for semilinear problems with applications in biology. Positivity, 2017, 21 (4), p. 1383-1392. ⟨10.1007/s11117-017-0474-0⟩. ⟨hal-01290966v2⟩
- Virgile Baudrot, Antoine Perasso, Clémentine Fritsch, Patrick Giraudoux, Francis Raoul. The adaptation of generalist predators’ diet in a multi-prey context: insights from new functional responses. Ecology, 2016, 97 (7), pp.1832 - 1841. ⟨10.1890/15-0427.1⟩. ⟨hal-01502875⟩
- Virgile Baudrot, Antoine Perasso, Clémentine Fritsch, Francis Raoul. Competence of hosts and complex foraging behavior are two cornerstones in the dynamics of trophically transmitted parasites. Journal of Theoretical Biology, 2016, 397, pp.158 - 168. ⟨10.1016/j.jtbi.2016.03.010⟩. ⟨hal-01502866⟩
- Jacques Bahi, Christophe Guyeux, Antoine Perasso. Chaos in DNA evolution. International Journal of Biomathematics (IJB), 2016, 9 (5), pp.1650076 (17). ⟨hal-02131171⟩
- Victor Frossard, Bruno Saussereau, Antoine Perasso, François Gillet. What is the robustness of early warning signals to temporal aggregation?. Frontiers in Ecology and Evolution, 2015, 3, pp.112. ⟨10.3389/fevo.2015.00112⟩. ⟨hal-01211252⟩
- Antoine Perasso, Ulrich Razafison. Identifiability problem for recovering the mortality rate in an age-structured population dynamics model. Inverse Problems in Science and Engineering, 2015, 24 (4), pp.711-728. ⟨10.1080/17415977.2015.1061522⟩. ⟨hal-00995676⟩
- Jacques M. Bahi, Christophe Guyeux, Antoine Perasso. Relaxing the Hypotheses of Symmetry and Time-Reversibility in Genome Evolutionary Models. British Journal of Mathematics & Computer Science, 2015, 5 (4), pp.439 - 455. ⟨10.9734/BJMCS/2015/14280⟩. ⟨hal-01088134⟩
- Béatrice Laroche, Antoine Perasso. Threshold behaviour of a SI epidemiological model with two structuring variables. Journal of Evolution Equations, 2015, 16 (2), ⟨10.1007/s00028-015-0303-5⟩. ⟨hal-01353275⟩
- Antoine Perasso, Ulrich Razafison. Asymptotic behavior and numerical simulations for an infection load-structured epidemiological model; Application to the transmission of prion pathologies. SIAM Journal on Applied Mathematics, 2014, 74 (5), pp.1571--1597. ⟨10.1137/130946058⟩. ⟨hal-00907819v2⟩
- Jacques M. Bahi, Christophe Guyeux, Antoine Perasso. Predicting the Evolution of Gene ura3 in the Yeast Saccharomyces Cerevisiae. Procedia Computer Science, 2012, 11, pp.4-16. ⟨10.1016/j.procs.2012.09.002⟩. ⟨hal-00786207⟩
- Antoine Perasso, Béatrice Laroche, Yacine Chitour, Suzanne Touzeau. Identifiability analysis of an epidemiological model in a structured population. Journal of Mathematical Analysis and Applications, 2011, 374 (1), pp.154-165. ⟨10.1016/j.jmaa.2010.08.072⟩. ⟨hal-00655939⟩
- Antoine Perasso, Béatrice Laroche. Well-posedness of an epidemiological problem described by an evolution PDE. ESAIM: Proceedings, 2008, 25, pp.29-43. ⟨10.1051/proc:082503⟩. ⟨hal-02655874⟩
Communications dans un congrès
- Mario Saussereau, Henri Leclère, Ulrich Razafison, Antoine Perasso. Développement de fronts de réaction lors des réactions de déshydratation : implications sur le transfert des fluides dans les zones de subductions. 29e Réunion des Sciences de la Terre, Société Géologique de France, Oct 2025, Montpellier, France. ⟨hal-05336381⟩
- Thibault Moulin, Antoine Perasso, François Gillet. Sensitivity analysis of a grassland vegetation model: responses to drivers depend on species richness. MB2 2018, Mathematical Biology Modelling days of Besançon, Jun 2018, Besançon, France. ⟨hal-03534053⟩
- Francis Raoul, Antoine Perasso, Virgile Baudrot, Benoit Valot, Eve Afonso, et al.. New approaches to description and modeling of trophic interactions: reliable allies to study trophically-transmitted parasites?. Research and methods in ecohealth and conservation, GDRI Ecosystem Health and Environmental Disease Ecology, Nov 2016, Kunming, China. ⟨hal-01367367⟩
- Antoine Perasso, Ulrich Razafison. Infection load structured SI model with exponential velocity and external source of contamination. World Congress on Engineering, 2013, United Kingdom. pp.263--267. ⟨hal-00606368v2⟩
- Antoine Perasso, Béatrice Laroche. Mathematical analysis and numerical simulations of a generic population dynamics model. ICIAM 2011 -- 7th International Congress on Industrial and Applied Mathematics, Labo/service de l'auteur, Ville service, Pays service., Jul 2011, Vancouver, Canada. pp.1. ⟨hal-02806998⟩
- Antoine Perasso, Béatrice Laroche, Suzanne Touzeau. Identiability analysis of an epidemiological PDE model. 19. International Symposium on Mathematical Theory of Networks and Systems (MTNS), Jul 2010, Budapest, Hungary. ⟨hal-02754770⟩
Poster de conférence
- Thibault Moulin, Antoine Perasso, François Gillet. DynaGraM, Dynamic Grassland Model - Predicting changes in plant community composition and ecosystem function. MPDE 2016, Models in Population Dynamics and Ecology, Sep 2016, Marseille, France. ⟨hal-03534122⟩
Chapitres d'ouvrage
- Victor Frossard, Bruno Saussereau, Antoine Perasso, François Gillet. What is the robustness of early warning signals to temporal aggregation?. Using Paleolimnology for Management and Restoration of Lakes, Frontiers Media SA, 2017, Frontiers Research Topics, ⟨10.3389/978-2-88945-091-6⟩. ⟨hal-03533904⟩
Rapports
- Antoine Perasso, Béatrice Laroche, Suzanne Touzeau. Identifiability analysis of an epidemiological model in a structured population. [Technical Report] 2009-5, 2009. ⟨hal-02824583⟩
Thèses
- Antoine Perasso. Identifiabilité de paramètres pour des systèmes décrits par des équations aux dérivées partielles. Application à la dynamique des populations. Mathématiques [math]. Université Paris Sud - Paris XI, 2009. Français. ⟨NNT : ⟩. ⟨tel-00464272⟩
- Antoine Perasso. Identifiabilité de paramètres pour des systèmes décrits par des équations aux dérivées partielles. Application à la dynamique des populations. Mathématiques [math]. Université Paris Sud - Paris 11, 2009. Français. ⟨NNT : ⟩. ⟨tel-02823004⟩
Habilitations à diriger des recherches
- Antoine Perasso. Analyse de systèmes d’équations différentielles et aux dérivées partielles structurées modélisant des interactions de type proie/prédateur et épidémiologique. Mathématiques [math]. Université Bourgogne - Franche-Comté, 2017. ⟨tel-04745219⟩
Documents récupérés de l'archive ouverte HAL 