Alessandro Corbetta, Ph.D. Resume


Download my resume in pdf fromat.


Currently

Since January 2018 I am a University Researcher in the Turbulence and Vortex Dynamcs group, Department of Applied Physics, Technische Universiteit Eindhoven. I am PI of the NWO-VENI research grant:

Understanding and controlling the flow of human crowds

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

Research interests

pedestrian dynamics & automated tracking
statistical mechanics & Langevin equations, for and from big data analytics
computer vision & deep neural networks
scientific & high performance computing, scientific data management
software design & engineering

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

ORCID iD iconorcid.org/0000-0001-6979-3414


Publication list


Previous positions & education

Jan. 2016 - Dec. 2018 Post-doctoral researcher
Technische Universiteit Eindhoven. Department of Applied Physics - Group: Turbulence and Vortex Dynamcs (WDY)
Jan. 2013 - Feb. 2016 Ph.D. Applied Mathematics
Technische Universiteit Eindhoven. Centre for Analysis, Scientific Computing and Applications (CASA)
Jan. 2012 - Jun. 2016 Ph.D. Structural Engineering
Polytechnic university of Turin. Department of Structural Engineering, Construction and Soil Mechanics
Jan. 2014 Consultant
Crowd dynamics at Milano Expo2015, NH Pavillion
Mar. 2011 - Dec. 2012 Visiting student
Los Alamos National Laboratory. Theoretical division T5 - Plasma physics and applied mathematics
Sept. 2009 - Dec. 2011 Msc. Mathematical Engineering
Polytechnic university of Turin. Department of Mathematics.
Sept. 2006 - Oct. 2009 Bsc. Mathematics for Engineering Sciences
Polytechnic university of Turin. Department of Mathematics.

More...

Technology & IT

I am fluent in numerous programming languages for (and beyond) scientific computing, data analytics, web and automation.
More...

Editorial and reviewer activity

Member of the editorial board of Collective Dynamics.
Guest editor of Journal of Advanced Transportation for the special issue "Empirical Research on Pedestrians’ Behavior and Crowd Dynamics".

Reviewer for: Applied Mathematical Modeling | Physical Review E | Journal of Statistical Physics: Theory and Experiment | IEEE Transactions on Circuits and Systems for Video Technology | Fire Technology | Physica A | Procedia Engineering | Transportation Research F

Teaching

2019 - Co-director and lecturer at 7th Workshop on Collaborative Scientific Software Development - ICTP (link)
2018 - Computational and Mathematical Physics, Msc in Applied Physics (TA)
2018 - Invited lecturer at 6th Workshop on Collaborative Scientific Software Development and Management of Open Source Scientific Packages, (parts: floating point arithmetic, code testing, (distributed) version control and continuous integration), III level education in computational sciences, Organization: Sharif University of Technology, ICTP Trieste and UNESCO (more)
2017 - Computational and Mathematical Physics, Msc in Applied Physics (TA)
2016 - Computational and Mathematical Physics, Msc in Applied Physics (TA)

Students

2019-ongoing Stan vd Burg, Bsc in Applied Physics. Topic: pedestrian flows analytics via path integral
2019 Niels Peters, Bsc in Applied Physics. Thesis: Optical Flow in Pedestrian Tracking
2019 Dario Chinelli, Bsc in Applied Physics. Topic: modeling pedestrian dynamics via path-integral
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.
2017-2018 Joost Visser, Msc in Computer Science. Capita selecta on unsupervised deep machine learning (with dr. V. Menkovski).
2015-2016 Jasper A. Meeusen, Msc in Applied Physics. Thesis: Dense crowd dynamics (with prof. F. Toschi).
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).