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, J. Comput. Appl. Math. 441 (2024), 115716.
R. Cavoretto, A. De Rossi, S. Lancellotti, Radial Basis Function Shape Parameter Search Using Bayesian Optimization, AIP Conference Proceedings of the ICNAAM 2023 (Accepted).
R. Cavoretto, S. Lancellotti, F. Romaniello, A Bayesian Approach for Simultaneously Radial Kernel Parameter Tuning in the Partition of Unity Method, Conference proceedings of the NUMTA2023, Lecture Notes in Computer Science (Accepted).
De Rossi, S. Lancellotti, F. Romaniello, Node-Binded Communities for Interpolation on Graphs, Conference proceedings of the NUMTA2023, Lecture Notes in Computer Science (Accepted).
R. Cavoretto, A. De Rossi, S. Lancellotti, F. Romaniello, Node-Bound Communities for Partition of Unity Interpolation on Graphs, Appl. Math. Comput.(Accepted).
R. Cavoretto, A. De Rossi, S. Lancellotti, F. Romaniello, Parameter Tuning in the Radial Kernel-Based Partition of Unity Method by Bayesian Optimization (Submitted).
speaking.
Talk
07.Jul.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
20.Jan.2023
aaa
Title: Radial Kernel Shape Parameter Tuning.
Conference ATMA 2023: Approximation: Theory, Methods and Applications.
University of Padua, Padua, Italy.
Talk
10.Feb.23
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.
Talk
16.May.23
a
Title: On the Interpolation Vertex-Related Communities for the Partition of Unity on Graphs.
CM3 - TRANSPORT 2023: Conference on Methods, Tools, and Technologies for Design in Transport
University of Jyväskylä, Jyväskylä, Finland.
Talk
15.Jun.23
a
Title: Node-Bound Communities for Interpolation on Graphs.
NUMTA 2023. Numerical Computations: Theory and Algorithms
Pizzo Calabro, Cosenza, Italy.
Talk
29.Aug.23
a
Title: Shape Parameter and Radius Search in Partition of Unity Interpolation.
SIMAI 2023: Congress of the Italian Society of Applied and Industrial Mathematics.
University of Basilicata, Matera, Italy.
Talk
12.Sep.23
a
Title: Radial Basis Function Shape Parameter Search Using Bayesian Optimization.
ICNAAM 2023: 21st International Conference of Numerical Analysis and Applied Mathematics.
Heraklion, Crete, Greece.
contact.
