Chalmers has recruited a pool of data experts who can support research projects across all of the areas of advance.
Hans is a "big data" (data analysis and data management) expert. He received his M.Sc. in Complex Adaptive Systems from Chalmers in 2012. Since then he has worked with big data related technologies such as machine learning, data analysis, data exploration, data visualization and data storage.
His expertise is in the area of machine learning. He has 5+ years of experience implementing machine learning algorithms, including deep learning techniques, and applying these to problems such as image classification, time series prediction, word sense disambiguation, information retrieval, etc.
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.
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
Pramod has a PhD in Electric Power Engineering (2016) with a focus on application of machine learning algorithms for condition monitoring of electrical and mechanical components. His experience includes working as a consultant in both oil & gas industry, and the renewable energy sector. In addition to his expertise in various machine learning algorithms, Pramod also specializes in statistical modeling methods, applied mathematical optimization techniques and risk & reliability analysis.
In his role within the Big Data team at Chalmers he supports various projects in different areas of application, which are in need of guidance in terms of the correct machine learning algorithms and the data visualization methods.
Muhammad Azam Sheikh