Vilhelm Verendel
I am a senior research engineer specializing in machine learning, data science, and related research policy. I got my PhD in complex systems in 2016. In the academic year 2017-2018 I was a visiting fellow at Oxford University. I previously led the Data Science Research Engineers unit working on research connected to CHAIR (Chalmers Artificial Intelligence Research centre, and Chalmers Areas of Advance). Since May 2023, Vilhelm has been working with research activity policy through Chalmers E-commons. How can research activities in a technical university handle demands for compliance in an increasingly complicated policy landscape? Often, policy development happens through external mechanisms, such as from regulation on the EU level. This is relevant for research collaborations with external actors, such as internalization or innovations.
Showing 24 publications
What are the root causes of material delivery schedule inaccuracy in supply chains?
Tracking artificial intelligence in climate inventions with patent data
Controlling gene expression with deep generative design of regulatory DNA
Functional ANOVA modelling of pedestrian counts on streets in three European cities
Disparities in travel times between car and transit: Spatiotemporal patterns in cities
Computing the power profiles for an Airborne Wind Energy system based on large-scale wind data
Measuring Traffic in Cities Through a Large-Scale Online Platform
Fermi's paradox, Extraterrestrial Life and the Future of Humanity: a Bayesian Analysis
Strategic reasoning and bargaining in catastrophic climate change games
A cobweb model of land-use competition between food and bioenergy crops
Evolution and the Backward Induction Problem in the Repeated Prisoners’ Dilemma
Adaptive Dynamics of Realistic Small-World Networks
Quantified Security is a Weak Hypothesis: A critical survey of results and assumptions
An Approach to using Honeypots in In-Vehicle Networks
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Showing 6 research projects
Crowd Movement. Predicting pedestrian movement in public space.
Using AI to find greentech innovations
Digital Twin of Transport Infrastructure – combining the power of data & model
STEPFlow_Spatio-temporal modelling and estimation of pedestrian flow
Pre-study of research and societal needs for a test bed for hydrographic surveying
Big Data for Airborne Wind Energy Systems Optimization