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 Artificial Intelligence, Visual Computing, automated, data-driven behavior recognition.
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: ProCare4Life (€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
2021- Dr Esam Ghaleb: Multimodal Fusion of sensorial data in Ambient Assisted Living
2021- Dr Yusuf Can Semerci: Human Behavior Recognition in Ambient Assisted Living Environments
2016-2020 Dr Mirela Popa: Large-scale data for activity recognition in indoor environments and personalized interfaces for the elderly.
2016-2019 Dr Enrique Hortal: User modelling in learning environments with robots and interactive devices
Past PhD candidates
2016- 2021 (promotor). Mr Dario Dotti: Human behaviour recognition making use of motion features
2016- 2021 (promotor). Mr Esam Ghaleb: Emotion recognition using multiple sensorial data
2007-2017 (co-promotor with Prof. Dr. B.M. Jansma and Dr. A. A. Vaessen). Dr. Gonny Willems: The development of literacy acquisition in children at familial risk of dyslexia.
Current PhD candidates
2016- 2021 (est.) (promotor). Mr Christos Athanasiadis: Transfer Learning between audio and video modalities in emotion-rich video sequences
2020-2023(est.) (promotor). Mr Bulat Khaertdinov: Multimodal human activity recognition
2020-2023(est.) (promotor). Mr Alexandros Doumanoglou: Explainable AI in human-machine interaction settings
Research assistants
2016-2017 Dimitrios Koutsoukos. Research assistant in Robots, Agents and Interaction laboratory
2017-2018 Matteo Amestoy. Research assistant in Robots, Agents and Interaction laboratory
MSc students
2016 Joris Bukala. Heart Rate estimation using computer vision techniques
2017 Stefan Selzer. Evaluation and Prediction of the capacity utilization of a university’s learning spaces
using Machine Learning Techniques
2017 Justus Schwan. Emotion recognition in the wild in HRI applications
2018 Maximilian Knobloch. Detecting Normal and Abnormal Behaviour using Trajectory Information, Aimed for People with Dementia
2020 Jan Lucas: Multimodal fusion for emotion recognition
2020 Frederik Calsius: Object recognition using deep learning for distinguishing crops
2021 Thanos Sakelliou: Detection of potential welding seams and acquisition of structural information
within a 3D space
2021 Georgios Patsiaouras: Extraction Of Deep Features In Multimodal Human Activity Recognition
2021 Andre Mertens: Explainable and Interpretable Features in Expressively Rich Video Sequences
2021 Nikitas Sourdakos: Priors for Generative Models based on Group Symmetries
2021 (exp.) Razvan-Stefan Brinzea: Self-Supervised Learning in The Context Of Multi-Modal Human Activity Recognition
Bachelor Students
2016 Florens von Bulwaldt: Implementation of smart homes using reed sensors for activity analysis
2016 Sharon Hallmans: Optimizing, in real-time, interactive environments through user emotion
2016 Carmen Zarco: Re-usable and adaptable serious gaming in education
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’
2017 Evangelos Trikoupis: AI-driven adaptation of collaborative learning games for engagement maximization
2019 Frederik Calsius: Personality-driven generated poses using gererative autoencoders