Currently, I am an Associate Professor at the Department of Data Science and Knowledge Engineering, at the University of Maastricht, the Netherlands.
I am coordinating the area of Affective and Visual Computing in my department and I am a member of the RAI group. My research interests include Visual Computing, Machine Intelligence, human emotion recognition and human activity recognition with applications in ambient-assisted living environments and smart learning contexts.
You can find my detailed CV here
My latest research grant initiatives, as Principal Investigator for the University of Maastricht, are following EU Horizon2020 projects:
-2020-2022: ProCARELife (€6.8m euro) Horizon2020-H2020-SC1-DTH-2019 Innovation project. Large Scale pilots of personalised & outcome based integrated care using Artificial Intelligence and smart sensors.
-2016-2019: MaTHiSiS (€7.6m euro) Horizon2020-ICT-20-2015 Innovation project will develop innovative tools for learning in formal and informal settings, placing learner’s emotion in the core of the learning procedure and applying cutting-edge learning analytics and AI tecniques for efficient, personalized learning.
-2016-2019: ICT4Life (€3.4m euro) Horizon2020-PHC-25-2015 Research & Innovation project will develop ambient-assisted living instruments and smart interfaces for the elderly and their caregivers and will mainly focus on persons with Dementia, Alzheimer and Parkinson’s.
Bachelor (2015-16): Data and Image Analysis, Period 3.2
Bachelor (2015-now): Human-Computer Interaction and Affective Computing, Period 2.4
Bachelor in University College Maastricht (2019-now): Artificial Intelligence, Period 1.2
Master in AI (2017-now): Computer Vision, Period 1.5
Students and researchers advised/mentored:
2016-2019 Dr Enrique Hortal: User modelling in learning environments with robots and interactive devices
2016- Dr Mirela Popa: Multimodal fusion for activity recognition in indoor environments and personalized interfaces for the elderly.
2016- Mr Dario Dotti: Personalized patterns in activity recognition in indoor environments using depth information and sensors.
2016- Mr Esam Ghaleb: Emotion recognition using multiple modalities in learning environments
2016- Mr Christos Athanasiadis: AI-driven Adaptation and personalization of learning environments using affective states and user-profile information.
2017: Dr Gonny Willems: The development of literacy acquisition in children at familial risk of dyslexia (co-promoter with Prof. Dr. B.M. Jansma and Dr. A. A. Vaessen).
2017- 2019 Mr Matteo Amestoy – Adaptive interfaces and deep lerning
2016- 2017 Mr Dimitrios Koutsoukos – Emotional Computing and Ambient Assisted Living
2020(exp.) Mr Jan Lucas. Multimodal Emotion Recognition using Attention Mechanisms in Spontaneous Data
2019 Mrs Zoe Gerolemou. Automated Personality Prediction from Face Videos
2019 Mr Rouven Bonke. Building a global package of cloudfree satellite images and corrected digital terrain models
2018 Mr Max Knobloch. Using Trajectory Information To Detect Normal And Abnormal Behaviour, Aimed For Alzheimer And Parkinson Patients
2017 Mr Justus Schwan. Towards Emotion Recognition in an HCI Setting using Computer Vision Techniques
2016 Mr Stefan Selzer. Evaluation of the capacity utilization of a university’s learning spaces
2016 Mr Joris Bukala. Heart Rate estimation using computer vision techniques (internship with RWTH)
2019 Frederik Calsius. ‘Synthesizing Personality Traits With Generative Adversarial Networks’
2019 Adam Eljasiak. ‘Can You Hear a Face? – Measuring The Quality of Spectrograms Generated by Generative Adversarial Network From Faces’
2017 Evangelos Trikoupis. ‘AI-driven adaptation of collaborative learning games for engagement maximization’
2016 Sharon Hallmans. ‘Optimizing, in real-time, interactive environments through user emotion’
2016 Carmen Zarco. ‘Re-usable and adaptable serious gaming in education’
2016 Florens von Bulwaldt. ‘Implementation of smart homes using reed sensors for activity analysis’
2016 Ramy Al Sarif. Bachelor thesis on ‘ Spatio-temporal facial analysis modelling engagement in real-time interactive environments’
2016 Bartosz Czaszyński. Bachelor thesis on ‘Human activity recognition in Human-Robot interactions’
- New article in IEEE multimedia
- ICT Services for Life Improvement for the Elderly
- Journal paper accepted at the Multimedia Tools and Applications journal (Springer)
- Paper accepted at the VISAPP 2017 Conference
- Paper accepted for presentation at the Intelligent Systems Conference (IntelliSys) 2017
- ICT4Life was chosen by Computer Vision News as the Application of the Month of December
- Paper accepted at the International Journal Engineering Applications of Artificial Intelligence, Elsevier
- Open positions in RAI
- Paper accepted at the ACII 2015 (Affective Computing and Intelligent Interaction) conference
- Paper accepted at PETRA 2015 Conference
- Current Position