ROSSINI MILVIA FRANCESCA

Role
Associate professor  
Academic disciplines
Numerical Analysis (MATH-05/A)
Scientific-Disciplinary Group:
NUMERICAL ANALYSIS (01/MATH-05)
Email
[email protected]
Office phone
0264485715
Room:
  • U05, Floor: 3, Room: 3043
Reception hours

By appointment scheduled through email

Biography

Date of birth:      30.09.65

Place of birth:     Milano

Education

1990: Degree   (Mathematics), Università degli Studi di Milano

1994: Ph.D       (Computational Mathematics and Operative Research), Università degli Studi di Milano

 

Positions

Assistant professor in Numerical Analysis, Università degli Studi di Milano Bicocca, 1998-

1st November 1996 al 31th October 1998: assistant professor in Numerical Analysis, Università  degli Studi di Milano

1st September 1993 - 31th October 1996: Mathematics high school teacher

Research

Research interests: Kernel methods and radial basis functions, meshless approximation and applications, subdivision schemes, CAGD, wavelets, mathematical signal processing, approximation theory

Publications

  • Bacchelli, B., & Rossini, M. (2021). On MRAs and Prewavelets Based on Elliptic Splines. RESULTS IN MATHEMATICS, 76(1), 1-28 [10.1007/s00025-021-01348-y]. Detail
  • De Marchi, S., Erb, W., Marchetti, F., Perracchione, E., & Rossini, M. (2020). Shape-driven interpolation with discontinuous kernels: Error analysis, edge extraction, and applications in magnetic particle imaging. SIAM JOURNAL ON SCIENTIFIC COMPUTING, 42(2), B472-B491 [10.1137/19M1248777]. Detail
  • Arandiga, F., Donat, R., Romani, L., & Rossini, M. (2020). On the reconstruction of discontinuous functions using multiquadric RBF–WENO local interpolation techniques. MATHEMATICS AND COMPUTERS IN SIMULATION, 176, 4-24. Detail
  • De Marchi, S., Martínez, A., Perracchione, E., & Rossini, M. (2019). RBF-Based Partition of Unity Methods for Elliptic PDEs: Adaptivity and Stability Issues Via Variably Scaled Kernels. JOURNAL OF SCIENTIFIC COMPUTING, 79(1), 321-344 [10.1007/s10915-018-0851-2]. Detail
  • Romani, L., Rossini, M., & Schenone, D. (2019). Edge detection methods based on RBF interpolation. JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 349, 532-547 [10.1016/j.cam.2018.08.006]. Detail

Full list

Research projects

ROSSINI-Fondo per il finanziamento delle attività base di ricerca
Year: 2017
Call: FFABR 2017
Grantors: M.I.U.R. - MINISTERO DELL'ISTRUZIONE, DELL'UNIVERSITA' E DELLA RICERCA - UFFICIO I - Bilancio e Contabilita'. Coordinamento staff della Direzione