About Us

Meet our researchers

Our group contains researchers from all over the world with different and complimentary backgrounds. Below, you can meet some of our researchers and learn about our backgrounds and research interests.

Dr. Ester de Jonge

I’m a nutrition scientist by background. I completed my PhD in public health epidemiology at the Erasmus Medical University Center. During the COVID- pandemic I used registration data on COVID infections to identify high risk population groups. For me, this study clearly illustrated the huge impact of data quality, ethical data management and meaningful data analysis for the development of steering information relevant to policy makers.

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Start(V)aardig

Applying data science for Health Innovation Recently, the Data Science team got involved in Pim Koolwijk’s Project ‘Start(V)aardig’. The aim of this project is to develop a toolbox for professionals supporting them to improve the motor competence of young children. The project provides a rich source of structured and repeatedly…
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Diabetes diagnosis

A Diabetic Foot Ulcer (DFU) is a serious complication of diabetes and can lead to a lower limb amputation if not treated properly and in an early stage . A DFU is often caused by poor blood circulation and neuropathy and therefore also heals poorly. For these long-term non-healing wounds,…

Dr. Hani Alers

Hani Al-Ers is a researcher in the field of human-machine interactions. He completed his PhD at the 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 the 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.

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Infant Blink Detection

Distributed machine learning is becoming a popular model-training method due to privacy, computational scalability, and bandwidth capacities. In this work, we explore scalable distributed-training versions of two algorithms commonly used in object detection. A novel distributed training algorithm using Mean Weight Matrix Aggregation (MWMA) is proposed for Linear Support Vector…
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AR for deaf students

Hearing loss is a global problem that many people deal with and the percentage of people with a hearing impairment will only keep growing. It is projected that we will reach a global population of 8 billion people in 2022 . Of these 8 billion people it is estimated that…
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Virtual Jelle

Project partners: Virtuele Jelle (start-up), Pieter van Foreest (PvF), Medical Delta, IMEC (Innovatrix), Innovation Quarter and THUAS. R&D by: Virtuele Jelle, Hani Al-Ers (THUAS) Challenge: to improve quality of life of people with dementia and to relieve family care givers by virtual (machine-controlled) telephone conversations with real voices of family…
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Palsy diagnosis

Peripheral palsy and central palsy are two forms of facial paralysis. Both conditions have similar characteristics, but they can have very different acuteness. Bell’s Palsy is one form of peripheral nerve disease, from which patients often heal and which is not likely to be fatal . A central facial palsy,…
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AI message parsing

Since the industrial revolution European nations had created or were forced to share resources and infrastructures that transcended national boundaries. This resulted in the creation of common rules for maintenance and use to counter risks and challenges . This fact also comes with international dependence and difficulties regarding infrastructures. One…
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IT 4 Seniors

Digital skills are indispensable nowadays, even for seniors. Whether arranging online banking, passing on a move or refilling a prescription, the use of digital systems is indispensable in our society. During the lockdowns, online services became even more important. For senior citizens, the lack of computer skills led to problems…
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Professional Practice

The collaboration between industry and education is an important part of innovation. Education needs to stay relevant to developments in the industry, while the industry needs the knowledge and insight from the education sector to overcome real-world obstacles and prevent future difficulties (Ankrah and AL-Tabbaa, 2015; Rynes et al., 2001).…
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Smart Teddy

The Smart Teddy is a therapeutic companion with a very basic functionality. It can bark and move its tail if someone interacts with it. It is soft and cuddly to invite people to grab and hug it. Seniors can keep the Smart Teddy as a long term companion. Like a…


Dr. Mathis Mourey

I am a lecturer in Finance and Statistics at The Hague University of Applied Science and a researcher at the Data Science research group. In my doctoral dissertation, I used various statistical methods to improve our understanding and measures of financial crisis risk. It allowed me to learn a large spectrum of machine learning techniques and to gain specialised knowledge in time series analysis.

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City Scrapper

The project aims to use widely available user satisfaction data to construct a decision making tool for municipalities. Managing cities is a complex task for municipalities. Both creating policies and evaluating them requires careful planning and significant resources. However, citizen already provide publicly that information on a variety of user…
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Firefighter forecasting

Recent increase in wild fires in France, and around the world, are an unfortunate example of the current challenges firefighters face nowadays. Data science can provide a solution for such challenges. Through various visualizations, we can empower our public services to react faster and more efficiently to extreme situations. The…
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Airport load modelling

Passenger load factor is a measure of efficiency, and it is used to describe how well an airline performs . A high load factor indicates that an airline has sold most of its seats, while a low load factor can cause concern for many airlines. Airlines provide the passenger load…


Tufail Abbasi

Tufail Abbasi is affiliated to The Hague University of Applied Sciences as a researcher and PhD candidate at the Faculty IT & Design. His field of research is Ethics in Artificial Intelligence. He is currently doing research in “AI-Enable citizen empowerment” research study aims to investigate the use of AI technology to empower and improve the quality of life of citizen. He has done MS in Information security with Gold Medal from Riphah International University, Pakistan. Areas of interest lies within domain of Data Governance and Management, Ethics and Risk Management.

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Dr. Cor Beyers

Cor Beyers has a PhD from the Eindhoven University of Technology where used chemometrical methods in spectroscopy to predict the concentrations of chemical compounds. He also has an 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.

Dr. Mark Vondenhoff

Mark Vondenhoff studied biology at Radboud University Nijmegen and has subsequently conducted fundamental biomedical research for many years. In particular in the field of the development of the immune system. Mark has a PhD in secondary lymphoid organ development and has worked as a postdoctoral researcher on immune cell development in human skin. He has been working at The Hague University of Applied Sciences since 2011, where he is senior lecturer in the Skin Therapy course.

Through his work in the Data Science and the Oncology research groups, Mark Vondenhoff conducts research in the field of skin cancer. The research he is interested in is mainly in the field of risk signaling of skin cancer in patients with a skin problem.

Amber Barten

Amber Barten is a lecturer for Skin Therapy. She is a practical instructor, graduation supervisor, and coaches students in conducting research. Within the Data Science and the Oncological Care research groups, Amber conducts research into recognizing skin cancer lesions through skin therapy. This is with a view to a possible contribution of skin therapists in the screening of skin cancer in order to reduce the pressure on care in this way. In addition, Amber tries to make a connection between practice and education by recruiting assignments from practice together with colleagues and embedding them in education.

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Risk signaling

The aim of this research program is to contribute to prevention by better identifying suspicious abnormalities by paramedics. Subsequently, upon identification, to advise more effectively to ask for medical care.   Embedding enhanced risk signaling and secondary prevention in skin therapeutic care Cancer is one of the diseases that cause…

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