2. Professors
  3. MEOLI ALESSANDRA
  4. Curriculum

Curriculum

ALESSANDRA MEOLI Curriculum

Current position:

Fixed-term assistant professor (RTD-A), Department of Mathematics, University of Salerno.

Previously:

September 2021- June 2022: Research fellow (Incarico di lavoro autonomo), Department of Mathematics, University of Salerno. Project title: “Attività di ricerca per costruzione e analisi di processi aleatori, quali nuove varianti del processo del telegrafo governate anche da equazioni frazionarie, ed applicazioni a problemi di evoluzione dal comportamento alternato”, within the PRIN 2017 - STOCHASTIC MODELS FOR COMPLEX SYSTEMS.

September 2018 - September 2021: Research fellow (Assegnista di ricerca), Department of Mathematics, University of Salerno. Project title: “Sistemi in evoluzione stocastica: modelli, metodi e applicazioni”.

Education:

July 2017: Phd in Mathematics, Physics and Applications (XXIX cicle), Department of Mathematics, University of Salerno and University of Campania “Luigi Vanvitelli” (ex Second University of Naples).

August 2016: Academic Guest in the group of prof. Niko Beerenwinkel, Department of Biosystems Science and Engineering (D-BSSE), ETH Zürich.

January 2013: Master's degree in Mathematics, - LM40, Università degli Studi di Salerno.

November 2010: Bachelor's degree in Mathematics, - L35, Università degli Studi di Salerno.

Referee activity of research articles for the following journals: Mathematics, Modern Stochastics: Theory and Applications, Journal of Mathematics, Journal of Applied Probability, Journal of Inequalities and Applications.

Member of the following scientific societies:

  • Gruppo Nazionale per il Calcolo Scientifico (GNCS) of Istituto Nazionale di Alta Matematica (INDAM);
  • Unione Matematica Italiana (UMI);
  • UMI - PRISMA (PRobability In Statistics, Mathematics and Applications) group. Specifically, member of Commissione Insegnamento;
  • UMI - Licei Matematici group.

She has mainly carried out research on probability theory and fractional calculus, with an emphasis on stochastic processes, reliability theory and survival analysis.