Alessandro Corbetta, Ph.D. Resume

Download my complete resume in pdf fromat.

Currently

Since December 2021 I am an Assistant Professor in the Fluids and Flows group, Department of Applied Physics, Technische Universiteit Eindhoven.

Research interests

Active flowing matter
pedestrian dynamics & automated tracking
statistical mechanics & Langevin equations, for and from big data analytics
computer vision & deep neural networks
machine learning for dynamical systems and turbulence
scientific & high performance computing, scientific data management
software design & engineering

An extensive description of my work on pedestrian crowds including pictures and videos can be found on the website of the Crowdflow research group.

In the period 2019-2021, I have been the PI of the NWO-VENI research grant:

Understanding and controlling the flow of human crowds

financed by the Netherlands Organisation for Scientific Research (NWO).

orcid.org/0000-0001-6979-3414

Publication list

Teaching at TU/e

Machine Learning for Science (BSc, responsible teacher since 2019)
Machine Learning for Fluid Mechanics (Msc, responsible teacher since 2023)
Chaos (MSc in Physics, co-teacher since 2019)
Sociophysics 1,2,3 USE Learning Line (BSc, 2020-2022)
Computational and Mathematical Physics (Tutoring, MSc, 2016-2022)

Phd Students and Post-doctoral fellow supervision

2024-ongoing Apoorva Singh, Msc, PhD in Applied Physics. Topic: System identification for dynamical systems and pedestrian dynamics
2024-ongoing Lars Sickert Karam, Msc, PhD in Applied and Industrial Mathematics. Topic: Statistical methods and active learning for pedestrian dynamics
2023-ongoing Chiel vd Laan, Msc, PhD in Applied Physics. Topic: Methods and modeling for crowds dynamics
2020-2025 Cas Pouw, Msc, PhD in Applied Physics. Thesis: Human crowd flows: physics insights from real-life measurements 2020-2025 Giulio Ortali, Msc, PhD in Applied Physics. Topic: Data-Driven Modeling of Emergent Statistical Behavior in Fluid Dynamics: from Turbulence to Dense Emulsions 2020-2022 dr. Alessandro Gabbana, Post-doc in Applied Physics. Topic: pedestrian flows analytics

Bsc and Msc Students

2025-ongoing Thomas Klokgiters, MSc in AIES (Artificial Intelligence for Engineering Systems). Topic: AI for energy storage (with H. Huinink)
2026 Vicky Hufken, MSc in AIES (Artificial Intelligence for Engineering Systems). Thesis: PINNs for 2D flows and adaptive sampling strategies (with dr. F. La Torre - ASML, dr. G. Di Staso)
2026 Thom de Moor, MSc in AIES (Artificial Intelligence for Engineering Systems). Thesis: Neural Network Based Prediction of Integral Quantities and Flow Fields in Industrial CFD (with F. La Torre - ASML, G. Di Staso)
2026 Mariano Pareja Ramirez, BSc in Applied Physics. Thesis: Sampling near optima in path space (with C. vd Laan)
2026 Matei Dumitras, BSc in Applied Physics. Thesis: Stochastic NEB method for sampling canonical ensembles of paths with applications to pedestrian dynamics (with C. vd Laan)
2026 Anjo Korthout, MSc in Applied Physics. Thesis: Pedestrian-obstacle interaction as a stochastic variational principle (with C. vd Laan)
2025 Oliver Zweep, BSc in Applied Physics and Applied Mathematics. Thesis: Modeling pedestrian path choices using a Totally Asymmetric Simple Exclusion Process (TASEP) (with R. Bailo)
2025 Deen Slenter, BSc in Applied Physics. Thesis: Modeling limited knowledge routing in crowded environments
2025 Lucas Marchand, Erasmus internship (Télécom Physique Strasbourg). Thesis: Large-scale computer vision for pedestrian dynamics (with C. vd Laan)
2025 Sven Pernot, BSc in Applied Physics. Thesis: Social Force Modeling of Real-World Pedestrian Trajectories in Variable Geometries (with C. vd Laan)
2025 Casper Bos, BSc in Applied Physics and Applied Mathematics. Thesis: Stochastic modelling of pedestrian flows using Nash equilibria (with R. Bailo)
2025 Bram Gerrits, BSc in Applied Physics. Thesis: Using swarmalators in reservoir computing to replicate chaotic systems from data
2025 Fenn Zeelenberg, Bsc in Applied Physics. Thesis: Pedestrian trajectory analysis using a variational model incorporating geometric perturbations (with C. vd Laan)
2025 Youri Martin, MSc in Applied Physics. Thesis: Numerical study of partially-ionized rarefied gases through coupled PIC-DSMC (with H. Clercx, G. di Staso)
2025 Chris v Ham, Msc in Applied Physics. Thesis: Genetic Algorithm Optimization of a Packed Bed Geometry for Salt Hydrate Tablets (with H. Huinink)
2024 Bram vd Buijs, Bsc in Applied Physics. Thesis: A maximum entropy approach to model pedestrian waiting distributions (with A. Singh)
2024 Clement Le Berre, Erasmus internship (Télécom Physique Strasbourg). Thesis: Radio-optical sensor fusion (with C. vd Laan)
2024 Maude Willems, Msc in Industrial Engineering and Innovation Sciences. Thesis: Interactions in queuing environments: The influence of situational characteristics and sociophysical structures on queuing behavior (with dr. A. Haans)
2023 Lex Woestemeier, Externship Msc in Physics (ProRail BV). Thesis: High statistics pedestrian dynamics data analysis
2023 Tom Harmsen, Bsc in Physics. Thesis: Unveiling dynamical features of small size social groups
2023 Gijs van Bakel, Bsc in Physics. Thesis: Stairs or escalator? Exploring and modelling routing choices at a train station
2023 Imre Atmodimedjo, Bsc in Physics. Thesis: Embedding symmetry into neural networks with applications for lattice Boltzmann collisions (with dr. A. Gabbana)
2023 Lysander Herrewijn, Bsc in Physics. Thesis: Quantifying turbulence intensity via velocity signals through one-shot and autoregressive deep learning models (with G. Ortali)
2022 Rik Heitzer, Bsc in Physics. Thesis: Multisensor 3D depth vision for real-life pedestrian tracking: Geometry and temperature calibration (with dr. A. Gabbana)
2022 Lex Woestemeier, Bsc in Physics. Thesis: Nudging pedestrian flows via sonification (with dr. T. Senan)
2022 Stijn van Hees, Msc in Applied Physics. Thesis: Modelling individual routing of pedestrians as a utility maximization process using inverse reinforcement learning (with dr. A. Gabbana, prof. F. Toschi)
2022 Bob Beunen, Msc in Applied Physics | Msc in Mechanical Engineering. Thesis: Learning the Lattice Boltzmann method gas-wall interaction scattering kernel from molecular dynamics data (with dr. A. Gabbana, prof. F. Toschi, prof. H. v Brummelen)
2022 Joost Prins, Msc in Applied Physics. Thesis: Lattice Boltzmann method with a neural network collision operator (with dr. A. Gabbana, prof. F. Toschi, dr. V. Gyria, dr. D. Livescu)
2021 Nirvana Pecorari, Msc in Physics. Thesis: Machine Learning and crowd dynamics: a real-life case study (with dr. A. Gabbana)
2021 Tjerk Mathijssen, Bsc in Applied Physics. Thesis: Approximation of pedestrian distribution on the train platform and the application of the Langevin equation on pedestrian data
2021 Jesse van den Tempel, Bsc in Applied Physics. Thesis: Tuning pedestrians: Research preparation on the influence of sound on trajectories (with dr. T. Senan)
2021 Luc Geurts, Bsc in Applied Physics and Mathematics. Thesis: Pedestrian Dynamics: modelling the trajectory of a single pedestrian on a curved path with a constant speed in a force-free environment (with prof. W. Schilders)
2021 Andrea di Benedetto, Msc internship in Applied Physics. Thesis: Graph-based real time estimation of secondary infection probabilities
2021 Frenk Cleven, Msc in Applied Physics. Thesis: Data-driven estimation of equilibrium distribution functions for pedestrian dynamics (with prof. F. Toschi)
2021 Tim de Jong, Bsc Applied Physics. Thesis: Pointing a movinghead to pedestrians using trajectory prediction (with dr. P. Ross)
2021 Teodora Lazar, Bsc Applied Physics. Thesis: Modeling of the emergent behavior for a unidirectional pedestrian flow at a bifurcation point (with dr. A. Gabbana)
2021 Geert vd Vleeuten, Bsc in Applied Physics and Mathematics. Thesis: Modeling fluctuations of single pedestrian dynamics on curved paths (with prof. W. Schilders)
2021 Thomas Wagenaar, Bsc Applied Physics. Thesis: Measuring turbulence intensity by deep learning short inertial measurements from quadcopters (with prof. F. Toschi)
2021 Daan Eskes, Bsc in Applied Physics. Thesis: Towards optimal automated crowd management via Reinforcement Learning
2020 Joris Willems, Msc in Computer Science. Capita selecta. Thesis: Learning Dynamical Systems With A Deep Generative Model
2020 Cas Pouw, Msc in Applied Physics. Thesis: Efficient and scalable analytics frameworks for high-statistics crowd dynamics
2020 Joost Prins, Applied Physics External traineeship (at Sioux Lime Eindhoven). Thesis: Sub-geometry-wise data-driven RANS modeling of turbulence
2020 Danvy Vu, Bsc in Applied Physics. Thesis: Towards automated crowd management via Reinforcement Learning
2020 Victor Browers, Bsc in Applied Physics. Thesis: Feature recognition in STM images: A conventional technique vs. a machine learning approach (Machine Learning advisor role, with D. Tjeertes, P. Koenraad)
2020 Jay van Erve, Bsc in Applied Physics. Thesis: Do pedestrians walk to minimize their travel time?
2020 Arco van Beek, Msc internship in Applied Physics. Thesis: Influence of light settings on pedestria dynamics
2020 Arthur Groot Zevert, Bsc in Applied Physics. Thesis: Modeling pedestrian dynamics on curved paths
2020 Roberto Mella, Bsc Erasmus internship in Applied Physics. Thesis: Optical Flow in Pedestrian Tracking
2019 Stan vd Burg, Bsc in Applied Physics. Thesis: Disentangling and Compressing usage patterns in Crowd Flows
2019 Niels Peters, Bsc in Applied Physics. Thesis: Optical Flow in Pedestrian Tracking
2022 Dario Chinelli, Bsc in Applied Physics. Thesis: Statistical learning and simulating the paths of walking pedestrians
2019 Joost Visser, Msc in Computer Science.. Thesis: StampNet: Unsupervised Multi-Class Object Discovery (with dr. V. Menkovski)
2018-2019 Gerben Beintema, Msc in Applied Physics. Thesis: Controlling Thermal Convection via Reinforcement Learning
2019 Rick de Kreij, Bsc in Applied Physics. Thesis: A multi-scale model for real-life pedestrian arrival processes
2019 Lars Raaijmakers, Internship in Applied Physics. Thesis: Learning conditional probability distributions from sampled data with application to kinetic simulations of fluids
2018 Joris Willems, Bsc in Applied Physics. Thesis: Pedestrian Orientation: Accurate Measurements and Dynamics
2018 Lars Schilders, Bsc in Applied Physics. Thesis: Superposition of interactions in pedestrian dynamics
2017-2018 Werner Kroneman, Scientific software developer and research assistant. Thesis: Accurate pedestrian localization via height-augmented HOG
2017-2018 Joost Visser, Msc in Computer Science. Capita selecta. Thesis: Unsupervised deep learning (with dr. V. Menkovski)
2015-2016 Jasper A. Meeusen, Msc in Applied Physics. Thesis: Dense crowd dynamics
2016 Diana Gonzalez, Msc in Sustainable Energy Technology. Thesis: Anticipatory Lighting Control Systems (with prof. E. van Loenen, prof. F. Toschi, ir. C. de Bakker)