Staff members with discipline Computer Science, Artificial Intelligence
Academia develops at the interface of different fields. This is one reason why the University of Groningen is home to a wide range of fields, each with a great number of subject specialists. The overview below, which is based on a standard categorization of fields, will help you find the right expert for each field. If you cannot find the expert you are looking for in this list, try searching via a related field or faculty; you may find him or her there.
Contact
s.abreu rug.nl
Function
Natural Language Processing, Computational Argumentation, Discourse Analysis, and Information Extraction.
Contact
khalid.alkhatib rug.nl
Function
Field / Discipline
Aesthetic Mechanical Capability
Artificial Intelligence
CG-art
Cinema
Creativity
De-animation of the organic
GAN
Inorganic Aesthetics
Machines
Pop
H.P. Lovecraft
Vampires
Artificial Intelligence
CG-art
Cinema
Creativity
De-animation of the organic
GAN
Inorganic Aesthetics
Machines
Pop
H.P. Lovecraft
Vampires
Contact
l.s.arriagada.beltran rug.nl
Function
PhD student
Field / Discipline
Computer vision, Machine learning, Probabilistic Graphical Models.
Contact
h.ayoobi rug.nl
Function
Field / Discipline
Data mining, Predictive analysis, Pattern recognition, Image processing, Machine/Deep learning
Contact
g.azzopardi rug.nl
Function
Tenure Track Assistant Professor
Field / Discipline
Computer Vision, Image analysis: Mathematical morphology, Connected filters, Segmentation, Machine Learning.
Contact
m.babai rug.nl
Function
Scientific programmer, Data Scientist
Contact
m.bartelds rug.nl
Function
PhD-candidate
Field / Discipline
Image Processing, Machine Learning & Deep Learning
Contact
g.s.bennabhaktula rug.nl
Function
PhD student
Field / Discipline
Applied methods: Hidden semi-Markov Model multivariate pattern analysis (HsMM-MVPA), evidence accumulation modelling (EAM), event-related potentials (ERPs), time-frequency analysis, intertrial coherence, linear-mixed effect models (LMEs), generalised additive mixed models (GAMMs), qualitative analysis.
Used measurement techniques: electroencephalography (EEG), magnetoencephalography (MEG), eye-tracking, behavioral measures (reaction times, accuracy), questionnaires.
Analysis tools: Matlab, R, Python.
Used measurement techniques: electroencephalography (EEG), magnetoencephalography (MEG), eye-tracking, behavioral measures (reaction times, accuracy), questionnaires.
Analysis tools: Matlab, R, Python.
Contact
h.berberyan rug.nl
Function
PhD Candidate
Field / Discipline
Computing Science, Machine Learning, Artificial Intelligence, Scientific Computing, Computational Science, Neural Networks, Prototype-based systems, adaptive distance measures
Contact
Function
"Adjunct Hoogleraar" (tenured, with ius promovendi)
Contact
j.o.van.bijsterveld rug.nl
Function
Field / Discipline
Natural Language Processing/Computational Linguistics, Neural Model Interpretability, Machine Translation, Morphology
Contact
a.bisazza rug.nl
Function
Assistant Professor
Field / Discipline
Contact
s.m.bohte rug.nl
Function
Field / Discipline
Computational Semantics, Computational Humanities, Conversational Interfaces.
Contact
johan.bos rug.nl
Function
Professor of Computational Semantics
Field / Discipline
Machine Learning, Artificial Intelligence, XAI, Interpretable Models, Interdisciplinary applications
Contact
k.bunte rug.nl
Function
Professor of Machine Learning for interdisciplinary data analysis
Contact
j.d.cardenas.cartagena rug.nl
Function
Lecturer in Artificial Intelligence
event extaction; opinion minig, sentiment analysis, perspective extraction; abusive language; storyline & causal relation extration
Contact
t.caselli rug.nl
Function
Assistant professor
Document Image Analysis
Contact
s.chanda rug.nl
Function
Former Post Doc
Field / Discipline
Deep Reinforcement Learning
Contact
yifei.chen rug.nl
Function
PhD student
Field / Discipline
Dynamics and Vibration; Structural Health Monitoring; Non-Destructive Testing; Artificial Intelligence
Contact
liangliang.cheng rug.nl
Function
Assistant Professor
Cognitive Engineering: Cognitive Psychology and Human Factors applied to Patient Safety; Human-Machine Interaction and Usability (esp Medical Technology) ; Human-Robot Interaction; (Medical) Skill Acquisition; Driving behaviour
Contact
Function
Director of Education Ba/Ma Artificial Intelligence/Computational Cognitive Scienceo | Associate Professor Cognitive Engineering
Field / Discipline
Computational Linguistics. Statistical parsing. Computational Literary Studies.
Contact
a.w.van.cranenburgh rug.nl
Function
Assistant professor Digital Humanities and Information Sciences
Field / Discipline
Contact
Function
PhD student
Field / Discipline
My current research revolves around applied deep learning for large-scale medical image analysis, and computer-aided detection and diagnosis.
The tools I use include Federated Optimization, Large-scale Machine Learning, and Distributionally Robust Optimization (DRO).
The tools I use include Federated Optimization, Large-scale Machine Learning, and Distributionally Robust Optimization (DRO).
Contact
e.darzidehkalani umcg.nl
Function
Ph.D.
Field / Discipline
Contact
v.degeler rug.nl
Function
Assistant Professor
Machine Learning, Computer Vision, Image Processing, Statistical Image Analysis, Probabilistic Robotics, Document Analysis, Handwriting Recognition, Deep Learning
Contact
m.a.dhali rug.nl
Function
Lecturer in Artificial Intelligenece | Researcher-4 in Old Testament and Early Judaism
Contact
d.dustegor rug.nl
Function
Neuromorphic Engineering, Artifical Intelligence, Neuroinformatics, High-level Circuit Design,
Contact
m.p.y.fabre rug.nl
Function
PhD student
Contact
m.h.faezi rug.nl
Function
PhD student
Field / Discipline
Reinforcement Learning
Multiagent systems
Control theory
Multiagent systems
Control theory
Contact
r.f.cunha rug.nl
Function
Lecturer of AI | PhD Candidate
Field / Discipline
Contact
k.glanzer rug.nl
Function
Contact
Function
Education Assistant Robotics
Field / Discipline
Multi-agent systems, decision-making, game theory, social choice theory, argumentation, logic
Contact
d.grossi rug.nl
Function
Associate professor
Field / Discipline
Machine learning, Pattern recognition, Medical image analysis
Contact
j.guo rug.nl
Function
Tenure Track Assistant Professor with education profile
Distributed System, Cloud Computing, Data Science, Machine Learning
Contact
m.hadadian rug.nl
Function
PhD Employee
Lucas works for the department of Constitutional Law, Administrative Law & Public Administration as a PhD Researcher. He holds a bachelor's degree in International and European Law, and two master's degrees, both with Cum Laude distinction, in Global Criminal Law and Governance and Law in Digital Society. Throughout his studies, Lucas gained valuable knowledge and experience in the area of the digitalization of the public sector and the legal and organizational questions that arise in this context. Lucas has extensive knowledge on the topics of the digitalization of supervision and enforcement, algorithmic decision-making, and the regulation of digital technologies. Lucas is specialized in the areas of human rights law, international criminal law, international and European law, and administrative law.
Lucas's research focuses on risks of discrimination that arise through the use of algorithmic decision-making and AI, and the mitigation of these risks, in law enforcement agencies in the Netherlands. In this context, Lucas considers several themes such as current and future legislation, ethics in AI and algorithmic decision-making, operationalization and implementation of legal and ethical principles, as well as risk mitigation strategies adopted by law enforcement agencies seeking to comply with such principles. His research is part of the empirical legal studies program, and as such combines qualitative and legal research methods. Alongside his research, Lucas teaches the course Administrative Law and Market Regulation.
Lucas's research focuses on risks of discrimination that arise through the use of algorithmic decision-making and AI, and the mitigation of these risks, in law enforcement agencies in the Netherlands. In this context, Lucas considers several themes such as current and future legislation, ethics in AI and algorithmic decision-making, operationalization and implementation of legal and ethical principles, as well as risk mitigation strategies adopted by law enforcement agencies seeking to comply with such principles. His research is part of the empirical legal studies program, and as such combines qualitative and legal research methods. Alongside his research, Lucas teaches the course Administrative Law and Market Regulation.
Contact
l.m.haitsma rug.nl
Function
PhD Researcher - Human Rights and Artificial Intelligence
Data Science, Machine learning, Computer Vision, Image Processing, Materials Science & Engineering
Contact
n.haleem rug.nl
Function
Assistant Professor, Data Science & Society
Logic and semantics of computation, in particular, modal logic, coalgebra, and algebra, and their applications in the formal specification and analysis of software systems.
Contact
h.h.hansen rug.nl
Function
Associate Professor in Logic and Semantics of Computation
Field / Discipline
Linguistics, semantics, pragmatics, language development, cognitive science, language and autism
Contact
Function
Professor of Semantics and Cognition
Field / Discipline
machine learning, mathematical modeling of dynamical systems, neuromorphic computing, reservoir computing
Contact
h.jaeger rug.nl
Function
Professor of Computing in Cognitive Materials
Social complexity, agent based simulation, innovation diffusion, opinion dynamics
Contact
Function
Associate Professor, Managing director of Groningen Center for Social Complexity Studies (GCSCS)
Molecular genetics, (meta-)genomics, (meta-)transcriptomics, microbiology, DNA-seq, RNA-seq, bacteriocins, lantibiotics, anti-microbial peptides, gene expressions and regulation, Bioinformatics, Statistics, R, Perl, Python, JavaScript, PHP, Linux (server), High Performance Computing, Machine Learning.
Contact
Function
Bioinformatician / Lecturer
Machine Learning, Uncertainty Quantification, Brain Computer Interfaces, EEG
Contact
ivo.de.jong rug.nl
Function
Junior Lecturer/PhD Student
Field / Discipline
Contact
sjoerd.de.jong rug.nl
Function
Developer ICT
Contact
i.p.s.kema rug.nl
Function
Junior researcher
Logic and Argumentation Theory
Contact
b.p.kooi rug.nl
Function
Associate professor
Field / Discipline
Language Acquisition/Development
Cognitive Modelling
Cognitive Modelling
Contact
Function
Academic Advisor Physics and Applied Physics
Field / Discipline
Contact
h.t.kruitbosch rug.nl
Function
Scientific programmer
Field / Discipline
Contact
h.lai rug.nl
Function
PhD student
Field / Discipline
Contact
m.leyva.vallina rug.nl
Function
PhD student
Field / Discipline
Bayesian statistics
Statistical genetics
Functional Genomics
Machine Learning
Evolutionary biology
Statistical genetics
Functional Genomics
Machine Learning
Evolutionary biology
Contact
g.a.lunter umcg.nl
Function
Professor of Medical Statistics
Field / Discipline
María Isabel Marín Morales is PhD Candidate of European Culture and Literature (University of Groningen). PhD Researcher in the Research Theme Group Data Science, Culture & Social Change at Research Centre for the Study of Democratic Cultures and Politics (DemCP, RUG). Also, currently, she collaborates as a researcher at the Sociolinguistic Studies Group of the Faculty of Communications and Philology and as a co-investigator at the Research Incubator Corpus Ex Machina, both at the University of Antioquia. Before starting doctoral studies at University of Groningen in 2022, she worked in Colombia at La Comisión para el Esclarecimiento de la Verdad, la Convivencia y la No repetición (CEV), Tecnológico de Antioquia and the Universidad Eafit. She is a Systems and Computer Engineer from the Universidad Nacional de Colombia and M.Eng. from the same university.
Contact
Function
PhD student
Process mining
Process modelling
Healthcare networks
Process modelling
Healthcare networks
Contact
Function
Assistant professor
Leadership, innovation, innovation networks.
Contact
j.m.mascareno rug.nl
Function
Assistant Professor
Main interests: Parallel Computing, Programming, Signal Processing, Algorithm Design
Lecturer of several courses: Imperative Programming, Functional Programming, Signals and systems, Compiler Construction, Discrete Structures, Operating Systems, Program Correctness, Artificial Intelligence I
Lecturer of several courses: Imperative Programming, Functional Programming, Signals and systems, Compiler Construction, Discrete Structures, Operating Systems, Program Correctness, Artificial Intelligence I
Contact
a.meijster rug.nl
Function
Lecturer
Contact
hamidreza.kasaei rug.nl
Function
Assistant Professor
Field / Discipline
AI-driven solutions for medical imaging (Segmentation, Classification, tracking and detection)
Contact
y.nagaraj umcg.nl
Function
Artificial Intelligence, Biophysics
Contact
s.m.van.netten rug.nl
Function
Associate Professor
Field / Discipline
Language Technology
Contact
g.j.m.van.noord rug.nl
Function
Professor
Field / Discipline
Medical Informatics, Advanced Visualization in Medicine, PACS, Health Information Systems
Contact
Function
Scientific Researcher / Associate Professor
Field / Discipline
Contact
e.c.oostwal rug.nl
Function
PhD student
Field / Discipline
Pattern recognition, machine learning, big data.
I am candidate for the new University Council. I stand for:
- job security, high quality vs. quantity, reduction of work load, balance of work and private life, stimulating creativity and quality, work that gives purpose and fulfilment,
working environment that is a source of positive experiences.
I am candidate for the new University Council. I stand for:
- job security, high quality vs. quantity, reduction of work load, balance of work and private life, stimulating creativity and quality, work that gives purpose and fulfilment,
working environment that is a source of positive experiences.
Contact
n.petkov rug.nl
Function
Professor, Head of the research group Intelligent Systems: http://www.cs.rug.nl/is
Field / Discipline
Information Management (BiSL/ITIL), Funding Opportunities, Research Methods in Transfusion Medicine, Biobanking Policy, Research Information Systems, Bibliometrics, Clinical Chemistry, Text Analytics, Data Analytics, Big Data, Artificial Intelligence.
Contact
Function
Information Manager Research, Education and Training, IM-MIT
Homogeneous Catalysis, Reaction Mechanisms, Molecular Interactions, Machine Learning
Contact
r.pollice rug.nl
Function
Field / Discipline
Contact
h.prakken rug.nl
Function
Professor Legal Informatics and Legal Argumentation
Field / Discipline
My main focus is applying Artificial Intelligence and computational methods on medical problems. Specifically, I work on (f)MR images and eye-movement signals.
For more info please visit www.nejad.info
For more info please visit www.nejad.info
Contact
a.nejad rug.nl
Function
Ph.D. Student / Early-Stage Researcher
Asyncronus Circuit Design, Neuromporphic Chip Architectures, IC Design, Spiking Neuronal Networks, Artificial Intelligence
Contact
o.j.richter rug.nl
Function
Cognitive Science & Neuroscience
Interested in bringing "lab-science" to the real world. See http://www.temporalcognition.org for a more extensive overview.
Main Topics: Temporal Cognition & Adaptive Learning, Clinical Applications of Cognitive Measures
Field: Cognitive Science; Cognitive Neuroscience; Educational Sciences.
Methods: comptuational modeling; mathematical modeling; experimentation; EEG; fMRI; MEG; eyetracking; pupil dilation
Interested in bringing "lab-science" to the real world. See http://www.temporalcognition.org for a more extensive overview.
Main Topics: Temporal Cognition & Adaptive Learning, Clinical Applications of Cognitive Measures
Field: Cognitive Science; Cognitive Neuroscience; Educational Sciences.
Methods: comptuational modeling; mathematical modeling; experimentation; EEG; fMRI; MEG; eyetracking; pupil dilation
Contact
Function
Professor
Field / Discipline
I do research in all areas of machine learning with a particular focus on reinforcement learning. I'm interested in the integration of model-free reinforcement learning algorithms in neural networks as well as in the design of algorithms which are scalable, generic and unbiased.
Natural language processing, computational linguistics, interpretability for deep learning
Contact
g.sarti rug.nl
Function
PhD Student in Computational Linguistics
Field / Discipline
Cognitive Engineering
Contact
marleen.schippers rug.nl
Function
Lecturer, Coordinator external relations & Coordinator Master research projects (AI/CCS)
Field / Discipline
Artificial Intelligence, Pattern Recognition, Machine Learning, Cybernetics
Contact
Function
Full Professor
Field / Discipline
Artificial Intelligence, Computational Linguistics
Contact
Function
Assistant professor
Field / Discipline
Contact
s.steffen rug.nl
Function
Field / Discipline
Hybrid Intelligence, Responsible and Explainable AI
Contact
c.c.steging rug.nl
Function
PhD-candidate
Field / Discipline
Computer Vision, Image Analysis, Machine Learning, Pattern Recognition, Sound Processing
Contact
n.strisciuglio rug.nl
Function
Post-doc researcher
Field / Discipline
Contact
e.sutoyo rug.nl
Function
PhD student
Field / Discipline
Artificial Intelligence, Cognitive Modeling
Contact
Function
Professor, Research Director
Field / Discipline
Multilingual Digital Humanities, Information Studies, Human-Centered AI, complex systems and complexity thinking, interdisciplinary minority studies, linguistic justice, computational history of ideas (social and semantic network analysis).
Contact
r.a.tanasescu rug.nl
Function
Machine learning, Natural Language Processing (NLP), Educational text mining
Contact
j.j.m.a.timmermans rug.nl
Function
Field / Discipline
Contact
t.f.tiotto rug.nl
Function
PhD Candidate
Field / Discipline
electroencephalography, eyetracking, statistics, experimental design, teaching
Contact
Function
Research coordinator and support
Contact
f.c.trucco.dalmas rug.nl
Function
PhD Candidate
Field / Discipline
Computer and Network Security, Privacy
Contact
f.turkmen rug.nl
Function
Assistant Professor (Tenure Track)
Field / Discipline
Machine/Deep Learning, Uncertainty Quantification, Computer/Robot Vision, Reinforcement Learning, Bayesian Deep Learning, Neural Networks.
Contact
m.a.valdenegro.toro rug.nl
Function
Assistant Professor for Machine Learning
Field / Discipline
Artificial Intelligence, Logic and Cognition, Multi-agent systems
Contact
Function
Professor
Field / Discipline
Artificial Intelligence, Computational argumentation, AI & Law
Contact
Function
Head of department AI, full professor, chair of AI & argumentation
Field / Discipline
Contact
wietse.de.vries rug.nl
Function
PhD-candidate
Field / Discipline
Artificial Intelligence, memory, decision making, EEG, cognitive modeling; mindfulness, attention, social neuroscience, brain decoding
Contact
m.k.van.vugt rug.nl
Function
Assistant Professor in Cognitive Modeling
Field / Discipline
Multi-agent systems
Agent-based modeling
Statistics
Agent-based modeling
Statistics
Contact
harmen.de.weerd rug.nl
Function
Lecturer
Field / Discipline
Contact
g.m.weindel rug.nl
Function
Postdoctoral researcher
Field / Discipline
Theoretical Biology; Behaviour, Ecology, Evolution; Evolutionary Game Theory; Dynamical Systems; Cultural Evolution; Evolutionary Systems Biology.
Contact
Function
Professor of Theoretical Biology
Current:
Digital image analysis and computer vision:
Segmentation - Mathematical morphology - Connected filters - Biomedical imaging and visualization - Remote sensing - Astronomical image analysis
In the past:
Simulation of living systems - The intestinal ecosystem - Genomic networks
Digital image analysis and computer vision:
Segmentation - Mathematical morphology - Connected filters - Biomedical imaging and visualization - Remote sensing - Astronomical image analysis
In the past:
Simulation of living systems - The intestinal ecosystem - Genomic networks
Contact
Function
Senior Lecturer/Associate professor
Contact
b.j.wolf rug.nl
Function
PostDoc
Field / Discipline
Contact
a.zolanvari rug.nl
Function
PhD student
Field / Discipline
Deep Learning, Machine Learning, pruning/model compression, Computer Vision, Expainable AI
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