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.

 

 

Courses taught

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:

Postdoctoral Researchers

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.

 

PhD candidates

ongoing:

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.

finished:

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).

 

Research Assistants

2017- 2019                    Mr Matteo Amestoy – Adaptive interfaces and deep lerning

2016- 2017                    Mr Dimitrios Koutsoukos – Emotional Computing and Ambient Assisted Living

 

MSc students

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)

 

 

Bachelor Students

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’

 

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