Chalmers has recruited a pool of data science experts who can support research projects across all of the areas of advance.
Vilhelm works with big data and machine learning in several research
projects connected to the big data group. Vilhelm has a PhD in complex
systems (2016) based on simulation and mathematical modeling. His
technical background includes 15+ years experience in system
administration, network and system programming. Currently he is focused
on applying machine learning methods in several research projects.
current project are: Using large online datasets to predict traffic
flows and congestion in 26 cities around the worlds, and using 30 years
of wind data from NASA to study feasibility of wind power around the
Oscar works as a Research Engineer within the Big Data initiative at Chalmers.
He received his M.Sc in Computer Science and Technology from Linköping
University in 2015 and has since been at Chalmers.
In his role, he
supports research projects in
various domains by utilizing the broad spectrum of Big Data related
technologies such as machine learning, visual analytics, data processing
and storage solutions. His key competence is in developing tools and
applications around these technologies to offer
ways of gaining more knowledge from the large and complex datasets
often used within research today.
Muhammad Azam Sheikh
Azam enjoys his position as a Research
Engineer within the Big Data initiative at Chalmers. Azam owns a PhD in
Algorithms (2013) from Chalmers University. He has 10+ years of research
and development experience
within the domain of algorithms, machine learning and applied
In his present role, Azam is applying
combinations of big data related technologies and combinatorial
approaches to a variety of research projects for data analysis,
and prediction tasks.