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.


ECOTIP: Ecosyndemic data

Understanding Ecosyndemics Ecosyndemics refer to the negative interactions of diseases that arise due to unfavorable living environments. The ECOTIP project focuses on understanding these interactions and identifying the critical points – or “tipping points” – where a population’s ability to handle such environments weakens, leading to these adverse disease interactions.…

Public Health Data

The trigger The COVID-19 pandemic triggered the demand for data driven decision making amongst policy makers in the public health sector. Registration data on test results and vaccination status were extensively used to create meaningful data analytics. The paradox This health crisis also revealed a remarkable paradox. Whereas governmental researchers…


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…

Diabetic Foot Ulcers

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.


Policy AI in Education

The advent of artificial intelligence has resulted in a transformative era, causing major changes in many aspects of human life. This evolutionary wave extends its influence to the realm of higher education, potentially reshaping the landscape of academic training and learning methodologies. From past instances of the advent of digital…

A.L.E.R.S. Learning Environment

What is A.L.E.R.S.? The Adaptive Learning Environment Research System (A.L.E.R.S.) is a transformative educational platform, innovatively designed to reshape learning through personalization and adaptability. It stands at the forefront of integrating technology with individualized learning strategies. How Does A.L.E.R.S. Work? A.L.E.R.S. begins its journey with each student through a unique…

GPT for grading exams

Revolutionizing Education with AI: A Glimpse into the Future of Grading Have you ever wondered if technology could grade exams as efficiently as human educators? The Data Innovation Hub of The Hague University of Applied Sciences is at the forefront of answering this intriguing question! A groundbreaking study conducted by…

GPT Powered Classroom

The advent of Language Model AI, particularly the ChatGPT, has revolutionized the way we interact with technology, taking the world by storm. This cutting-edge AI model, developed by OpenAI, has demonstrated an unprecedented ability to understand and generate human-like text, making it an accessible and flexible tool for a wide…

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…

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…

Safe drinking water

Ensuring Safe Drinking Water: A Collaborative Endeavor In today’s rapidly changing climate, ensuring the safety and quality of drinking water is more critical than ever. With the increasing impact of climate change, the soil surrounding our water pipelines is warming up, raising concerns about the temperature of the water we…

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…

Local energy systems

Embracing a Sustainable Energy Future The transition to sustainable energy is all about creating energy systems that are green, reliable, and efficient. Local Energy Systems (LESs) are at the forefront of this transformation. What Are Local Energy Systems? LESs harness decentralized renewable resources. They offer: Reliability: Consistent energy supply even…

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,…

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…

Socioeconomic Status

Introduction: Dive into our in-depth research project that investigates the profound relationship between socioeconomic status and health outcomes in Zoetermeer. As a pioneering research group, we’re at the forefront of unveiling insights that can shape a healthier future for our community. Project Overview: Our mission was clear: “How does socioeconomic…

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…

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).…

Education Analytics

In the world of higher education, it is important to know what helps students succeed. On this page, we have shared two related research projects from The Hague University of Applied Sciences. Both focus on understanding success in the International Business bachelor’s program. These projects were led by a team…

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.


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…

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…

Airport load modelling

Project Overview In today’s ever-evolving aviation industry, where capacity planning and operational efficiency are paramount, the ability to predict passenger flight load with precision is crucial. At The Hague University’s Data Science research group, we’ve delved deep into this challenge, reviewing historical methodologies and crafting an innovative algorithm using XGBoost,…

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.


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 Oncological care research groups, Mark Vondenhoff conducts research in the field of suspicious skin lesions. The research he is interested in is mainly in the field of risk signaling of underlying pathologies upon recognition of clinical predictors in patients with a skin problem.


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