Centre of Expertise Health Innovation
Research Group Data Science
Data science, a fast-growing interdisciplinary field of science, is the main driver for innovation in the coming years. The Data Science research group of The Hague University of Applied Sciences is focused on conducting world-class research in the field of human-centered applied data science and artificial intelligence.
Through the use of methods, algorithms, technologies and/or tools we generate insights from data allowing us to discover important patterns and make predictions. These data and the insights gained from them are used to support decision-making, management, governance and policy in a chaotic world from a human perspective.
About the lectoraat
alanced policies. Through the application of various data science methods, our research group conducts applied research aiming provide valid and practically-feasible solutions.
Career of the future
A position as a data scientist is viewed as the best future career. In several areas decision-makers use data in order to achieve balanced policies. Through the application of various data science methods, our research group conducts applied research aiming provide valid and practically-feasible solutions.
How data science can help tackle modern challenges
The challenges faced in applied data science are very broad. For example:
How can we support policies with the transition towards more sustainable energy resources? How can we use data to make ‘smart mobility’ even smarter? How can we increase participation of civilians and improve the relevant policies? How can we support decision-making - for example, in the case of suddenly occurring pandemics? In the healthcare domain, how can we improve awareness and engagement of patients through the use of data?
Support through data science
How can the applied research of the Data Science research group support society in answering the aforementioned questions? We do this, for example, through the development of new methods for faster and better evaluation of an important vaccine; through prediction of the effects of measures aimed at limiting the spread of contagious diseases; through the prediction of the social readiness of residents to participate in energy transitions; orr through the development of new dynamic planning systems for autonomous vehicles.
Team
Raymond Hoogendoorn
Cor Beyers
Tony Andrioli
Hani Al-Ers
Xiao Peng
Jeroen Vuurens
Raymond Hoogendoorn
Raymond Hoogendoorn is a senior researcher in the field of data science. In 2012 he completed his PhD cum laude at Delft University of Technology. He did this at the Transport and Planning department of the Faculty Civil Engineering an Geosciences. NWO sponsored his project which was aimed at mathematically modelling driving behaviour in case of adverse conditions (for example during an evacuation). Raymond completed a post-doc and was Assistant Professor at Delft University of Technology in the field of Intelligent Transport Systems (autonomous vehicles). Currently he conducts research in the field of applied data science for health, urban living and smart-mobility applications.
Cor Beyers
Cor Beyers has a PhD from the Eindhoven University of Technology where he used chemometrical methods in spectroscopy to predict the concentrations of chemical compounds. He also has a business degree with experience working in industry for multi-nationals such as BASF, PPG and Sherwin Williams. He joined the research group data science to work on the extraction of insights from Big Data through the use of advanced analytical methods to improve business decision making.
Hani Al-Ers
Hani Al-Ers is a researcher in the field of human-machine interactions. He completed his PhD at Delft University of Technology at the Interactive Intelligence group of the Faculty Computer Science (EEMCS). Philips Research in Eindhoven sponsored his project which was aimed at improving the user experience of Philips tv sets. He completed 2 post-docs at Delft University of Technology, during which he managed international consortia on topics such as an improved quality of life for the elderly. Currently he is conducting research in the field of health and education and he leads the Research Education activities at the Dutch Innovation Factory.
Xiao Peng
Xiao Peng is a researcher in the field of managerial economics, she masters economic modeling and statistical analysis for business and management. She completed her PhD at Rotterdam School of Management, Erasmus university, the Netherlands. She is currently conducting research on the topic of Triple Helix: how to link academics, government and practitioners effectively. Her research aims to by applying data science under the domain of sustainable circular economy, support policy and decision making.
x.peng@hhs.nl
About the professor
dr. Lampros Stergioulas
Lampros Stergioulas is affiliated to The Hague University of Applied Sciences as a professor of Data Science. At the Faculty IT & Design he leads the Data Science research group. Furthermore he is a chaired professor in Business Analytics connected to the University of Surrey Business School (South-East England).
Lampros Stergioulas is also active for the European Commission as an expert in the field of artificial intelligence, data science and research ethics. In various programmes sponsored by the European Union and EU member states, he acts as an expert evaluator.
Lampros studied informatics and physics and received a Masters’ and a PhD in Electrical Engineering at the University of Liverpool (UK).
He has published more than 200 scientific publications and supervised and evaluated several PhD theses in the field of data science, computer science, health informatics, data-driven social innovation, modelling and simulation and intelligent systems.
He was principal researcher in more than 30 EU projects and coordinator of 4 EU research projects in which he cooperated with public organizations such as the European Center for Disease Prevention (ECDC), the European Medicine Agency (EMA), the European Commission, the National Health Service (UK) as well as national and regional authorities within Europe.
Lampros’s research interests span the areas of applied AI, data science and analytics, health informatics, data-driven management and innovation, system modelling and simulation, as well as data ethics. Through this he endeavors to achieve real-world impact in the areas of healthcare, wellbeing and sustainability.
Lampros Stergioulas is also active for the European Commission as an expert in the field of artificial intelligence, data science and research ethics. In various programmes sponsored by the European Union and EU member states, he acts as an expert evaluator.
Lampros studied informatics and physics and received a Masters’ and a PhD in Electrical Engineering at the University of Liverpool (UK).
He has published more than 200 scientific publications and supervised and evaluated several PhD theses in the field of data science, computer science, health informatics, data-driven social innovation, modelling and simulation and intelligent systems.
He was principal researcher in more than 30 EU projects and coordinator of 4 EU research projects in which he cooperated with public organizations such as the European Center for Disease Prevention (ECDC), the European Medicine Agency (EMA), the European Commission, the National Health Service (UK) as well as national and regional authorities within Europe.
Lampros’s research interests span the areas of applied AI, data science and analytics, health informatics, data-driven management and innovation, system modelling and simulation, as well as data ethics. Through this he endeavors to achieve real-world impact in the areas of healthcare, wellbeing and sustainability.
“Our mission is to apply scientific expertise to solve real-world problems using data, to support decision and policy making and transform lives and communities for the better and to help both private and public sectors innovate and grow using data science."
Through our research we advance the knowledge and shape future research in Data Science and AI.