Diabetic Foot Ulcers project

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, infection is a threat. If the wound does not heal or if an infection spreads, amputation is sometimes unavoidable. In recent years, research on automation using computer vision and Machine Learning methods plays an important role in DFU treatment. Promising successes have already been achieved so far. The aim of this project is to develop new Machine Learning techniques to assist in deciding whether amputation is a more suitable option at an early stage of the treatment.

Skin Cancer Diagnosis project

The aim of this project is the early detection of skin cancer which will lead to better chances of recovery and relieving some of the pressure from care specialists. The research tackles this problem by training skin therapists and general practitioners to recognise specific features of skin cancer and how to interpret them.

Transition to Sustainable Energy project

The DATALESs project is a collaboration between Dutch and Chinese research institutions aiming to tackle challenges related to energy transition. The goal of the project is to reduce the environmental impact of generating and consuming energy. This can be done by promoting the use of different small interventions such as installing electrical heat pumps, solar cell energy generators, and electrical vehicles.

Firefighters project

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 firefighter project aims to empower fire departments and provide them with the tools necessary for data based decision-making.

Smart Teddy Project

By moving its tail and reacting to movement or touch, the Smart Teddy offers seniors companionship in the home. At the same time it uses sensors to estimate how the physical and mental Quality of Life (QoL) of a senior is progressing and check for potential dangers. Support can be offered if the QoL level declines. Emergency interventions can also be dispatched if a danger is detected (e.g., smoke, cries for help). Aimed at seniors with early onset of dementia, the goal is to help them stay longer in their own home and delay the need to have them placed in a professional care facility.

This video illustrates how we conduct research together with our students using an iterative process. Each step of the project builds on all the work performed before to go further and reach new results.

Full list of projects


Mobile health apps

This study addresses the burgeoning global shortage of healthcare workers and the consequential overburdening of medical professionals, a challenge that is anticipated to intensify by 2030 . It explores the adoption and perceptions of AI-powered mobile medical applications (MMAs) by physicians in the Netherlands, investigating whether doctors discuss or recommend…

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…

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.…

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…

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…

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…

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…

Digital Health Challenges

Background: Digital health is well-positioned in low and middle-income countries (LMICs) to revolutionize health care due, in part, to increasing mobile phone access and internet connectivity. This paper evaluates the underlying factors that can potentially facilitate or hinder the progress of digital health in Pakistan. Objective: The objective of this…

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…

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…


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…

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…

Solar energy prediction

In efforts to transition away from the use of fossil fuels and their associated environmental prob- lems, a number of strategies have been deployed worldwide in recent decades. Use of renewable energy sources is one such strategy, an effort in which systems that use solar power to gener- ate electricity…

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,…

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,…

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,…

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…

DS Regulations & Ethics

Nowadays, Artificial Intelligence is an efficient tool to deal with complex situations but it also raises new issues regarding responsibility and acceptance by society as there are areas around the implications of machine intelligence in terms of ethics and law. With the recent boom in big data and analytics and…

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…