PhD students
I am open to serving as a daily supervisor for potential PhD candidates focusing on topics related to privacy and trustworthy AI.
At present, there are no fully funded projects available. However, Open Universiteit offers an opportunity for self-funded external researchers who wish to pursue a PhD but cannot commit to a full-time university position. In this arrangement, you won’t have employee status at the university and won’t receive a university salary.
If you have any questions, please don’t hesitate to reach out!
Omid Torki
2023
Thesis title: Efficient Preserving Privacy in Genome-Wide Association Studies
Master students
I’m delighted to announce that all of my graduated master’s students have successfully published papers in high-ranked conferences and journals based on their theses. You can explore the current thesis project topics here.
Sven Kalkman
2023
Thesis title: A multi-heuristic optimization framework for vehicle routing problem using reinforcement learning
Tjibbe van der Ende
2023
Thesis title: Using ND-Laplace to train privacy-preserving clustering algorithms on distributed n-dimensional data
Mohammad Emadi
2023
Thesis title: On the privacy of Generative Adversarial Networks
Leander Hiele
2023
Thesis title: The Compliance of GDPR regulations using Privacy Enhancing Technologies
Wouter Leeuw
2022
Thesis Title: Scalable Blockchain-based Unsupervised Distributed Learning
Amir Fathalizadeh
2022
Thesis title: Privacy Preserving Indoor Location Fingerprinting
Fatemeh Khodaparast
2019
Thesis Title: Privacy Preserving Big Data Classification
Mona Hamidi
2018
Thesis title: Privacy Preserving Data Clustering