Paolo Dai Pra

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foto, October 2, 2019
Position
Full Professor
Academic sector
MAT/06 - PROBABILITY AND STATISTICS
Office
Ca' Vignal 2,  Floor 2,  Room 9
Telephone
+39 0458027093
E-mail
paolo|daipra*univr|it <== Replace | with . and * with @ to have the right email address.

Office Hours

Orario di ricevimento: Lunedì ore 15:30 o su appuntamento. 

Curriculum

Paolo Dai Pra si occupa di Processi Stocastici e loro applicazoni alle Scienze Fisiche, Biologiche e Sociali. La maggior parte delle sue pubblicazioni recenti riguardano le seguenti tematiche:

1. Sistemi complessi nelle scieze biologiche e sociali
2. Proprietà geometriche e di scala dei processi stocastici
3. Convergenza all'equilibrio e disuguaglianze funzionali per sistemi di particelle interagenti
4. Giochi a campo medio

I principali risultati ottenuti comprendono:
- un principio di Grandi Deviazioni per sistemi disordinati;
- un teorema di dualità fra problemi di controllo stocastico e giochi dinamici;
- la prima dimostrazione della scala diffusiva del gap spettrale per processi zero-range;
- una parziale estensione a processi di salto della teoria di Bakry-Emery per diffusioni;
- l'introduzione di dinamiche dissipative con interazione a campo medio, e la dimostrazione del comportamento periodico collettivo in alcuni casi speciali.

 

Modules

Modules running in the period selected: 26.
Click on the module to see the timetable and course details.

Course Name Total credits Online Teacher credits Modules offered by this teacher
Bachelor's degree in Applied Mathematics Probability and Statistics (2023/2024)   9    2  PROBABILITA'
2  ELEMENTI DI STATISTICA
Master's degree in Data Science Probability for Data Science (2023/2024)   12  eLearning 6 
Master's degree in Mathematics Statistical learning (2023/2024)   6    3  PART I
Bachelor's degree in Applied Mathematics Stochastic systems (2023/2024)   6  eLearning 2 
Master's degree in Mathematics Mathematics mini courses (2022/2023)   0     
Bachelor's degree in Applied Mathematics Probability and Statistics (2022/2023)   9  eLearning 2  ELEMENTI DI STATISTICA
Bachelor's degree in Computer Science Probability and Statistics (2022/2023)   6  eLearning 2  (Teoria)
Bachelor's degree in Applied Mathematics Probability and Statistics (2022/2023) eLearning 2  PROBABILITA'
Master's degree in Data Science Probability for Data Science (2022/2023)   12  eLearning 6 
Master's degree in Mathematics Statistical learning (2022/2023)   6  eLearning 3  PART I
Bachelor's degree in Applied Mathematics Stochastic systems (2022/2023)   6  eLearning 2 
Bachelor's degree in Applied Mathematics Probability and Statistics (2021/2022)   9  eLearning 2  ELEMENTI DI STATISTICA
2  PROBABILITA'
Master's degree in Data Science Probability for Data Science (2021/2022)   12  eLearning 7 
Master's degree in Mathematics Statistical learning (2021/2022)   6  eLearning 3  PART I
Bachelor's degree in Applied Mathematics Stochastic systems (2021/2022)   6  eLearning 5 
Bachelor's degree in Applied Mathematics Probability and Statistics (2020/2021)   9  eLearning 6  PROBABILITA'
3  ELEMENTI DI STATISTICA
Master's degree in Data Science Probability for Data Science (2020/2021)   12  eLearning 4  (Parte I)
Master's degree in Mathematics Statistical learning (2020/2021)   6  eLearning 3  PART I
Bachelor's degree in Applied Mathematics Stochastic systems (2020/2021)   6  eLearning 5 
Bachelor's degree in Applied Mathematics Probability (2019/2020)   6  eLearning 6 
Master's degree in Mathematics Statistical learning (2019/2020)   6  eLearning 3  PART I
Bachelor's degree in Applied Mathematics Stochastic systems (2019/2020)   6  eLearning 5 
Bachelor's degree in Applied Mathematics Stochastic systems (2014/2015)   6    3  (Catene di Markov in tempo discreto)

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Research interests
Topic Description Research area
Large scale interacting random systems Sistemi di particelle interagenti, limiti macroscopici, giochi a campo medio. Applicazioni alla biologia e alla scienze sociali. Mathematics - applications and modelling
Stochastic analysis


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