Staff members with discipline Computer Science, Interdisciplinary Applications
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
I use computers to study science. I use and write software that model chemical interactions, light-matter interactions and particles behaviour in fluids. I apply physics principles along with computational methods to propose solutions to scientific problems.
Contact
m.a.a.amin rug.nl
Function
Human-robot interaction, haptics
Contact
Function
Postdoctoral Researcher
Field / Discipline
Computer Vision, Image analysis: Mathematical morphology, Connected filters, Segmentation, Machine Learning.
Contact
m.babai rug.nl
Function
Scientific programmer, Data Scientist
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)
- Design-based research / Design Thinking
- (Educational) Game Design
- eLearning & Hybrid education
- Human-machine interaction
- Interaction design
- eHealth/mHealth & technology-supported behaviour change
- (Educational) Game Design
- eLearning & Hybrid education
- Human-machine interaction
- Interaction design
- eHealth/mHealth & technology-supported behaviour change
Contact
i.bril umcg.nl
Function
Field / Discipline
Contact
Function
Professor Business Information Modelling
Machine Learning, Artificial Intelligence, XAI, Interpretable Models, Interdisciplinary applications
Contact
k.bunte rug.nl
Function
Professor of Machine Learning for interdisciplinary data analysis
Information Policy
Technology Law
Data Protection Law
Cybercrime
Privacy
Security Sciences
Internet Governance
Privacy, communication technologies and indigenous peoples
Technology Law
Data Protection Law
Cybercrime
Privacy
Security Sciences
Internet Governance
Privacy, communication technologies and indigenous peoples
Contact
j.a.cannataci step-rug.nl
Function
Chair in European Information Policy & Technology Law
event extaction; opinion minig, sentiment analysis, perspective extraction; abusive language; storyline & causal relation extration
Contact
t.caselli rug.nl
Function
Assistant professor
Contact
q.n.dengerink rug.nl
Function
Junior GIS Specialist
Field / Discipline
Contact
d.dustegor rug.nl
Function
Industrial / Enterprise Information Systems
Internet of Things and Cyber-Physical Systems
Machine Learning / AI / Linked Data and Knowledge / Human in the Loop
Product, Asset Lifecycle, and Maintenance Management
Internet of Things and Cyber-Physical Systems
Machine Learning / AI / Linked Data and Knowledge / Human in the Loop
Product, Asset Lifecycle, and Maintenance Management
Contact
c.emmanouilidis rug.nl
Function
Contact
sreejita.ghosh rug.nl
Function
PhD student
Expertise in CS, ISO standards, Molecular dynamics, Medical Informatics
Contact
n.goga rug.nl
Function
Senior Researcher
Field / Discipline
Vakdidactiek informatica
Curriculumontwikkeling
Agent-based modeling
Curriculumontwikkeling
Agent-based modeling
Contact
Function
Teacher Educator Computer Science
Machine learning, Pattern recognition, Medical image analysis
Contact
j.guo rug.nl
Function
Tenure Track Assistant Professor with education profile
Data Science, Machine learning, Computer Vision, Image Processing, Materials Science & Engineering
Contact
n.haleem rug.nl
Function
Assistant Professor, Data Science & Society
Privacy by design, privacy enhancing technologies, computer security
Contact
j.h.hoepman rug.nl
Function
Associate professor
Contact
h.d.hogenbirk rug.nl
Function
PhD-Candidate
Field / Discipline
Radio Astronomy, Structure and Evolution of Galaxies, Interstellar Medium, Neutral Hydrogen in Galaxies
Contact
Function
Professor
Field / Discipline
Contact
sjoerd.de.jong rug.nl
Function
Developer ICT
Information Systems, Process Automation and Business Process Management, Adaptive Software Systems, Middleware, Databases, Service Oriented Architecture and Applications
Contact
d.karastoyanova rug.nl
Function
Professor of Information Systems
Contact
i.p.s.kema rug.nl
Function
Junior researcher
Contact
m.kempe umcg.nl
Function
Assistant professor
Networked and Distributed Systems, Middleware, Event-based Systems
Contact
Function
Professor of Computer Networks
Contact
Function
Senior Scientist B
Contact
v.c.leeuwenburgh umcg.nl
Function
PhD student
Networked and Distributed Systems; Quality Monitoring in Stream Processing Systems; Privacy Protection in Event-Based Systems; Federated Learning in Rule Generation.
Contact
m.lotfian.delouee rug.nl
Function
PhD student
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
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
Bio:
I joined the Computer Science department, Faculty of Science and Engineering at University of Groningen as a Postdoctoral Fellow in July 2019. In May 1, 2022 I started a new position with the CS department as an Assistant Professor. Prior to joining RUG, I was working at the University of Michigan-Flint as an Assistant Professor of Computer Science between July 2016 and June 2019.Prior to that, I had been in the College of Computing and Informatics at University of North Carolina at Charlotte for my Ph.D. My Ph.D. advisor was Mohamed Shehab . Before joining UNC Charlotte, I had been in the College of Engineering and Applied Sciences at University of Colorado at Colorado Springs and King Abdullah II School of Information Technology at University of Jordan for my Master and Bachelor degree, respectively.My research interests lie in the field of cyber security, particularly in web, computer and mobile phones security. My research investigates the security and privacy risks of third-party applications in computing system by analyzing the access control mechanisms, finding possible vulnerabilities, implementing countermeasures, and studying users’ awareness and comprehension to the vulnerabilities and the countermeasures. Over the last year and a half I have been working on projects that involve using data and text mining techniques to detect Android malicious apps and recommend safe apps for mobile users to download on their phones.
Research Projects:
Countering Intrusive and Low Quality Apps
Profiling and Detecting Malware Samples
Moving Target Defense
Publications:
1. Fadi Mohsen, Hamed Abed Alhaq, and Halil Bisgin Security-Centric Ranking Algorithm and Two Privacy Scores To Mitigate Intrusive Apps. Concurrency and Computation: Practice and Experience, submitted on September 2019.
2. Fadi Mohsen and Haadi Jaafarian. Raising the Bar Really High: An MTD Approach to Protect Data in Embedded Browsers IEEE COMPSAC 2019.
3. Fadi Mohsen, Hamed Abdel-Haq, Halil Bisgin, Andrew Jolly and Michael Szczepanksi. Countering Intrusiveness Using New Security-Centric Ranking Algorithm Built On Top of Elasticsearch. IEEE TrustCom 2018.
4. Fadi Mohsen, Fadi Mohsen, Halil Bisgin, Zachary Scott and Kyle Straitb. Detecting Android Malwares By Mining Statically Registered Broadcast Receivers. The 3rd IEEE International Conference on Collaboration and Internet Computing 2017.
5. Fadi Mohsen and Mohamed Shehab. Hardening the OAuth-WebView Implementations in Android Applications by Re-factoring the Chromium Library, the 2nd IEEE International Conference on Collaboration and Internet Computing 2016.
6. Halil Bisgin , Fadi Mohsen, and Vincent Nwobodo. Assessing Android Broadcast Receivers and Permissions for Malware Detection. [Under submission].
7. Fadi Mohsen, Mohamed Shehab and Maxamilliano Lange. Investigating the User Agent Strings of Popular Browsers for Privacy Leakage and Deception. [Under preparation].
8. Fadi Mohsen and Hamed Abed Alhaq. A Close Look at Removed Third-party Applications from Google Play Store. [Under Preparation].
Fadi Mohsen and Kurt Weinert. Lessons Learned: A Study of Major Cyber Attacks. [Under preparation].
9. Fadi Mohsen, Emmanuel Bello-Ogunu, and Mohamed Shehab. Investigating the Keylogging threat in Android - User Perspective. 2nd IEEE International Conference on Mobile and Secure Services (MobiSecServ) 2016.
10. Mohamed Shehab and Fadi Mohsen. Towards Enhancing the Security of OAuth Implementations In Smart Phones. IEEE International Conference on Mobile Services (MS) 2014.
11. Fadi Mohsen and Mohamed Shehab. Android Keylogging Threat. 9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing (Collaborate) 2013.
12. Duan, Y.Wang, Fadi Mohsen, and E.Al-Shaer. Private and Anonymous Data Storage and Distribution in Cloud. IEEE 10th International Conference on Services Computing (SCC) 2013.
13. Fadi Mohsen and Mohamed Shehab. Proposing and Testing New Security Cue Designs for OAuth-WebView-Embedded Mobile Applications. 2nd International Workshop on Internet-scale Clouds and Big Data (ISCBD) 2017.
14. Fadi Mohsen and Mohamed Shehab. The Listening Patterns to System Events by Benign and Malicious Android Apps. Workshop on Privacy in Collaborative & Social Computing (PiCSoC) 2016.
15. Fadi Mohsen, Mohamed Shehab, Emmanuel Bello-Ogunu, and Abeer Al Jarrah. Android System Broadcast Actions Broadcasts Your Privacy. (Poster). 21st ACM Conference on Computer and Communications Security (CCS) 2014.
16. Mohamed Shehab and Fadi Mohsen. Secure OAuth Implementations in Smart Phones. (Poster). 4th ACM Conference on Data and Application Security and Privacy (CODASPY) 2014.
17. Mohammad Rahman, Fadi Mohsen and Ehab Al-Shaer. A Formal Model for Sustainable Vehicle-to-Grid Management. ACM Workshop on Smart Energy Grid Security (SEGS) 2013.
18. Fadi F. Mohsen. The analysis of performance and vulnerability of Colorado Emergency Response Networks. University of Colorado at Colorado Springs – Dissertations. Publisher 2010.
19. J Hinson, F Mohsen, J Taylor, and E. Chow. Detecting Early Signs of Insider Attack Using Role - Based Analysis and Classification ,
20. Fadi Mohsen. Privacy Preserving IODEF Processing. 2013.
21. Himanandini Mohanty and Fadi Mohsen. Journal of Student Research – University of Michigan-Flint 2017. Opening Smart T.V to third-party apps, user perspectives
Google Scholar page: https://scholar.google.com/citations?user=C_gsShsAAAAJ&hl=en
I joined the Computer Science department, Faculty of Science and Engineering at University of Groningen as a Postdoctoral Fellow in July 2019. In May 1, 2022 I started a new position with the CS department as an Assistant Professor. Prior to joining RUG, I was working at the University of Michigan-Flint as an Assistant Professor of Computer Science between July 2016 and June 2019.Prior to that, I had been in the College of Computing and Informatics at University of North Carolina at Charlotte for my Ph.D. My Ph.D. advisor was Mohamed Shehab . Before joining UNC Charlotte, I had been in the College of Engineering and Applied Sciences at University of Colorado at Colorado Springs and King Abdullah II School of Information Technology at University of Jordan for my Master and Bachelor degree, respectively.My research interests lie in the field of cyber security, particularly in web, computer and mobile phones security. My research investigates the security and privacy risks of third-party applications in computing system by analyzing the access control mechanisms, finding possible vulnerabilities, implementing countermeasures, and studying users’ awareness and comprehension to the vulnerabilities and the countermeasures. Over the last year and a half I have been working on projects that involve using data and text mining techniques to detect Android malicious apps and recommend safe apps for mobile users to download on their phones.
Research Projects:
Countering Intrusive and Low Quality Apps
Profiling and Detecting Malware Samples
Moving Target Defense
Publications:
1. Fadi Mohsen, Hamed Abed Alhaq, and Halil Bisgin Security-Centric Ranking Algorithm and Two Privacy Scores To Mitigate Intrusive Apps. Concurrency and Computation: Practice and Experience, submitted on September 2019.
2. Fadi Mohsen and Haadi Jaafarian. Raising the Bar Really High: An MTD Approach to Protect Data in Embedded Browsers IEEE COMPSAC 2019.
3. Fadi Mohsen, Hamed Abdel-Haq, Halil Bisgin, Andrew Jolly and Michael Szczepanksi. Countering Intrusiveness Using New Security-Centric Ranking Algorithm Built On Top of Elasticsearch. IEEE TrustCom 2018.
4. Fadi Mohsen, Fadi Mohsen, Halil Bisgin, Zachary Scott and Kyle Straitb. Detecting Android Malwares By Mining Statically Registered Broadcast Receivers. The 3rd IEEE International Conference on Collaboration and Internet Computing 2017.
5. Fadi Mohsen and Mohamed Shehab. Hardening the OAuth-WebView Implementations in Android Applications by Re-factoring the Chromium Library, the 2nd IEEE International Conference on Collaboration and Internet Computing 2016.
6. Halil Bisgin , Fadi Mohsen, and Vincent Nwobodo. Assessing Android Broadcast Receivers and Permissions for Malware Detection. [Under submission].
7. Fadi Mohsen, Mohamed Shehab and Maxamilliano Lange. Investigating the User Agent Strings of Popular Browsers for Privacy Leakage and Deception. [Under preparation].
8. Fadi Mohsen and Hamed Abed Alhaq. A Close Look at Removed Third-party Applications from Google Play Store. [Under Preparation].
Fadi Mohsen and Kurt Weinert. Lessons Learned: A Study of Major Cyber Attacks. [Under preparation].
9. Fadi Mohsen, Emmanuel Bello-Ogunu, and Mohamed Shehab. Investigating the Keylogging threat in Android - User Perspective. 2nd IEEE International Conference on Mobile and Secure Services (MobiSecServ) 2016.
10. Mohamed Shehab and Fadi Mohsen. Towards Enhancing the Security of OAuth Implementations In Smart Phones. IEEE International Conference on Mobile Services (MS) 2014.
11. Fadi Mohsen and Mohamed Shehab. Android Keylogging Threat. 9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing (Collaborate) 2013.
12. Duan, Y.Wang, Fadi Mohsen, and E.Al-Shaer. Private and Anonymous Data Storage and Distribution in Cloud. IEEE 10th International Conference on Services Computing (SCC) 2013.
13. Fadi Mohsen and Mohamed Shehab. Proposing and Testing New Security Cue Designs for OAuth-WebView-Embedded Mobile Applications. 2nd International Workshop on Internet-scale Clouds and Big Data (ISCBD) 2017.
14. Fadi Mohsen and Mohamed Shehab. The Listening Patterns to System Events by Benign and Malicious Android Apps. Workshop on Privacy in Collaborative & Social Computing (PiCSoC) 2016.
15. Fadi Mohsen, Mohamed Shehab, Emmanuel Bello-Ogunu, and Abeer Al Jarrah. Android System Broadcast Actions Broadcasts Your Privacy. (Poster). 21st ACM Conference on Computer and Communications Security (CCS) 2014.
16. Mohamed Shehab and Fadi Mohsen. Secure OAuth Implementations in Smart Phones. (Poster). 4th ACM Conference on Data and Application Security and Privacy (CODASPY) 2014.
17. Mohammad Rahman, Fadi Mohsen and Ehab Al-Shaer. A Formal Model for Sustainable Vehicle-to-Grid Management. ACM Workshop on Smart Energy Grid Security (SEGS) 2013.
18. Fadi F. Mohsen. The analysis of performance and vulnerability of Colorado Emergency Response Networks. University of Colorado at Colorado Springs – Dissertations. Publisher 2010.
19. J Hinson, F Mohsen, J Taylor, and E. Chow. Detecting Early Signs of Insider Attack Using Role - Based Analysis and Classification ,
20. Fadi Mohsen. Privacy Preserving IODEF Processing. 2013.
21. Himanandini Mohanty and Fadi Mohsen. Journal of Student Research – University of Michigan-Flint 2017. Opening Smart T.V to third-party apps, user perspectives
Google Scholar page: https://scholar.google.com/citations?user=C_gsShsAAAAJ&hl=en
Contact
f.f.m.mohsen rug.nl
Function
Multi-Agent Systems
Contact
egbert.otten umcg.nl
Function
Professor of NeuroMechanics and Prosthetics
Nearby Galaxies: structure, stellar populations, kinematics; Galaxy Formation and Evolution; Galaxy Evolution in Clusters
Contact
Function
Professor
I'm interested in digital social reading (how people write and read fiction online) and I use computational, qualitative, and quantitative methods to study how people read.
I'm Principal Investigator of the ERC Starting Grant project GOLEM (Graphs and Ontologies for Literary Evolution Models).
I'm also a member of the scientific advisory board of OPERAS (the Research Infrastructure supporting open scholarly communication in the social sciences and humanities in the European Research Area) and Vice President of IGEL (the International Society of the Empirical Study of Literature).
I'm Principal Investigator of the ERC Starting Grant project GOLEM (Graphs and Ontologies for Literary Evolution Models).
I'm also a member of the scientific advisory board of OPERAS (the Research Infrastructure supporting open scholarly communication in the social sciences and humanities in the European Research Area) and Vice President of IGEL (the International Society of the Empirical Study of Literature).
Contact
Function
Assistant Professor in Computational Humanities
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
Social Computing and Crowdsourcing
Network Science (large scale network analysis) -> graph based analysis, ML, NLP
Computer Networks, Cloud Computing
Recommender Systems
Network Science (large scale network analysis) -> graph based analysis, ML, NLP
Computer Networks, Cloud Computing
Recommender Systems
Contact
m.riveni rug.nl
Function
Network Architectures; Cognitive Networks; Distributed Systems; Software-Defined Networks; Network Analysis; Algorithms;
Contact
s.saleh rug.nl
Function
PhD Employee
Contact
m.stal rug.nl
Function
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
Contact
a.e.p.veldman rug.nl
Function
Professor
Interactive science exhibitions, digital media, PR & marketing communication
Contact
Function
Projectleader Science LinX
Field / Discipline
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
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