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Daniele Ritelli

Associate Professor

Department of Statistical Sciences "Paolo Fortunati"

Academic discipline: MATH-03/A Mathematical Analysis

Curriculum vitae

Download Curriculum Vitae (.pdf 472KB )

Daniele Ritelli, Bologna, March 7th, 1960, graduated cum laude in Pure Mathematics at Bologna University on July, 17th, 1989. Thesis: Variational Methods for elliptic semilinear equations. Supervisor Ermanno Lanconelli.






In 1992 he becomes Contract Professor at the Statistical Science Faculty of Bologna University where he deliverd a course about the Ordinary Differential Equations and their applications to Since June 1993, he has been serving as a Lecturer in the Department of Social and Economic Sciences at the University of Bologna. In 2003, he was promoted to Associate Professor within the same faculty. His prominent and current affiliation is with the Dipartimento di Scienze Statistiche at the University of Bologna. Beginning in 2008, he has also acted as a reviewer for the American Mathematical Society. Additionally, he serves as a referee for numerous esteemed international journals, including the Journal of Number Theory, Applied Mathematical Modeling, Journal of Mathematical Analysis and Applications, Journal of Inequalities and Applications, Journal of the Franklin Institute, Bulletin of Mathematical Analysis and Applications, Studia Scientiarum Mathematicarum Hungarica, Mathematics, Symmetry, Statistical Papers, European Journal of Physics, and Advances in Difference Equations.


Synopsis of his research activity. Generalized trigonometric functions. Hypergeometric functions of one and several variables. Hyperelliptic integrals. Exact solutions and exact approximate solutions of nonlinear ordinary differential equations and boundary value problems. Nonlinear oscillators. Symmetries of ordinary differential equations. Mathematical modeling through nonlinear ordinary differential equations (e.g., population dynamics and epidemiology), dynamical economics and growth models, economic order quantity models for inventory optimization, minimum cost models in production planning, or other management models.


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