Silvio Fanzon
About me
I am a Lecturer in Applied Mathematics in the Department of Mathematics at the University of Hull in the United Kingdom
My research is at the interface of Inverse Problems, Optimization, Statistics, PDEs and Variational Methods. I am interested in applications to Mathematical Imaging, Materials Science, Statistical Models for Sports and Machine Learning
My contact information is here. If you are interested in collaboration or supervision opportunities, please contact me at
For Hull students: My office hours are Wednesday 12:0013:00 in Office 104a, Larkin Building
News
08/2024  I have produced a Curriculum Evaluation for the module Statistical Models which I taght in 2023/24. This analysis is part of the final assessment for the PCAP module Curriculum Design. The presentation video and slides are available here 

06/2024  Check out our paper Heavy tails and negative correlation in a binomial model for sports matches: applications to curling. We develop a binomial model for sports matches parameterised in terms of the maximum possible score and the probability of scoring in each trial. Our model is theoretically novel and can generate heavy tails and negative correlation in the scores of the two teams. From an empirical perspective results shed new light on the interplay between offensive and defensive strategies in elietelevel curling, as well as modelling the Last Stone First End, analogous to the homefield advantage in other sports. Read the paper here 
05/2024 
I have written two case studies for the final assessment of the PCAP module titled Reflective Teaching in Higher Education:

03/2024  Our paper Faster identification of faster Formula 1 drivers via timerank duality has been published on Economics Letters. We provide a novel approach to estimate racewinning probabilities, which leads to new insights regarding driverlevel versus carlevel effects, as well as a simplified Monte Carlo simulation algorithm. The paper can be found here. The annotated R code to reproduce the findings is here 
01/2024  I am teaching the module Statistical Models at the University of Hull. This is a Year 2 module for the BSc in Mathematics 2023/24. Here are the module Webpage and Slides 
12/2023  Our preprint Faster identification of faster Formula 1 drivers via timerank duality is out. We provide a novel approach to estimate racewinning probabilities, which leads to new insights regarding driverlevel versus carlevel effects, as well as a simplified Monte Carlo simulation algorithm. The annotated R code to reproduce the findings is here 
09/2023  During Term 1 of the current academic year 2023/24 I am leading the courses Numbers, Sequences and Series and Differential Geometry at the University of Hull. Follow the links for Lecture notes and Exercises 
09/2023  From 48 September I am at the AIP 2023 conference in Göttingen (Germany). I am presenting in the minisymposium MS40: Dynamic Imaging on 5 September at 2pm, room VG2.107. Here are the slides 
07/2023  Our paper Asymptotic linear convergence of FullyCorrective Generalized Gradient methods has been published on Mathematical Programming. For a quick overview of the paper check out these slides. More detailed explanation here 
06/2023  I have been accepted into the Postgraduate Certificate in Academic Practice (PCAP) programme at the University of Hull. The programme is designed to develop my teaching practice in Higher Education, and will lead to a Fellowship of the Higher Education Academy (FHEA). Looking forward to start in February 2024! 
05/2023  Happy to have joined the PRIMO Reserach Group. Looking forward to attend their talks on inverse problems, machine learning and optimization 
04/2023  I became a member of IPIA, the Inverse Problems International Association 
04/2023  My website silviofanzon.com is live 
04/2023  Excited to start my new position as Lecturer in Applied Mathematics at the University of Hull 
Upcoming Events
No upcoming events so far...
Selected Publications
Current Teaching
Useful Links
 CVGMT (Calculus of Variations and Geometric Measure Theory)
 PRIMO Research Group
 IPIA (Inverse Problems International Association)
 FIPS (Finnish Inverse Problems Society)
 GAMM (Association of Applied Mathematics and Mechanics)
 One World ML (Seminar Series on the Mathematics of Machine Learning)
 One World MINDS (Seminar Series on Mathematics of INformation, Data, and Signals)