SANDRO LANCELLOTTI
about.
I'm passionate about data science and artificial intelligence and all the challenges are cues for my self-improvement.
I enjoy working on new topics to expand my knowledge and build a ready-to-use skill set. The best place for me is where I am surrounded by brilliant people to learn from and who share with me the desire to improve.
position.
Ph.D. student in Modeling and Data Science XXXVII cicle.
Università degli Studi di Torino.
Title of the project: Advanced Artificial Intelligence, Machine Learning and Data Science Tools for Modeling and Prediction of Traffic Scenarios.
previous positions.
Secondary school teacher
Oct.2020/Aug.2021
a
Mathematics and Physics teacher (A-027 class) at I.I.S.S.
“G. Solimene”, Lavello (PZ).
Research Fellowship
Sep.2021/Dec.2021
A
Post-Master research fellow at the National Research Council (CNR) Tito Scalo on the space-time characterization of data collected by the meteorological network using regressive filters and geostatistical techniques.
pubblications.
R. Cavoretto, A. De Rossi, S. Lancellotti, E. Perracchione, Software implementation of the partition of unity method, Dolomites Res. Notes Approx. 15 (2022) 35–46.
R.Cavoretto, A. De Rossi, S. Lancellotti, Bayesian Approach for Radial Kernel Parameter Tuning. Submitted.
speaking.
Talk
Jul.7.2022
a
Title: Software Implementation of the Partition of Unity Method
Conference FAATNA20>22: Functional Analysis, Approximation Theory and Numerical Analysis.
University of Basilicata, Matera, Italy.
Talk
Jul.7.2022
a
Title: Software Implementation of the Partition of Unity Method
Conference FAATNA20>22: Functional Analysis, Approximation Theory and Numerical Analysis.
University of Basilicata, Matera, Italy.
Poster
Jan.20.2023
aaa
Title: Radial Kernel Shape Parameter Tuning.
Conference ATMA 2023: Approximation: Theory, Methods and Applications.
University of Padua, Padua, Italy.
Talk
Feb.10.2023
a
Title: On the Choice of Radial Kernel Shape Parameter using Bayesian Optimization
Workshop SA2023: Software for Approximation.
Organized in collaboration with MathWorks.
Department of Mathematics "Giuseppe Peano”, University of Turin, Turin, Italy.
contact.
