To Prospective Students

If I have an opening for a PostDoc or PhD position, I post details on this page. If you are interested in working with me, you can send me an email even when there is no opening. If I sense a genuine interest, I will try to help you, e.g., by pointing you to other related positions.

If you are an MSc student at TU Delft interested in pursuing an MSc thesis under my supervision, first, check this website to get a sense of my research interests and expertise. Then, please check the Project Forum to see what projects I, my postdoctoral associates, and my PhD students have posted. It is possible that we have not formulated all projects that interest us in the Project Forum. Finally, send me an email stating your interest to working with me and the topics that interest you. I will follow up from there.

Post-Doctoral Associates

Enrico Liscio Analyzing Public Values in Media via NLP AlgoSoc Apr 2024 – Present
Edgar Salas GironĂ©s Artificial Intelligence for Collaborative Climate Risk Management Red & Blue Sep 2023 – Present

PhD Graduates

PhD Students

Michiel van der Meer Opinion Diversity through Hybrid Intelligence Hybrid Intelligence Jun 2020 – Jul 2024
Zuzanna Osika Explainable Multi-Objective Decision Support Methods Hippo Lab April 2022 – Present
Shubhalaxmi Mukherjee Fact Checking using Large Language Models Hippo Lab Aug 2023 – Present
Feline L. Lindeboom Algorithm Supported Deliberation (Co-supervision with Davide Grossi) Hybrid Intelligence Sep 2023 – Present
Anastasia Akkuzu Responsible Autonomy for Hybrid Intelligence (Co-supervision with Pinar Yolum) Hybrid Intelligence Oct 2023 – Present

MSc Graduates

Joost Jansen Using NLP to Support Responsible Investing TUD Nov 2023 – Jul 2024
Jahson O'Dwyer Wha Binda Transformer Modules: Transferable & Parameter Efficient LLM Fine Tuning TUD Oct 2023 – May 2024
Jakub Nguyen The generalizability of argument quality dimensions in NLP models TUD Nov 2022 – Aug 2023
Jeongwoo Park Constructing a Pluralist Moral Sentence Embedding Space using Contrastive Learning TUD Nov 2022 – Jul 2023
Mei Lan Schrama Active Learning with Multi-annotator Disagreement TUD Dec 2021 – Sep 2022
Mila Hendrikse Unravelling Twitter chaos during a policy crisis TUD (Co-Supervisor) Feb 2021 – Nov 2021
Divyae Mittal Simulation of adaptive user behavior with respect to noises in offices TUD (Co-Supervisor) Feb 2020 – Jul 2020
Bhavana Balraj Multilabel Active Learning for User Context Recognition in the Wild NCSU (Co-Supervisor) Jan 2020 – Aug 2021
Arvind Sastha Kumar Federated Inverse Averaging: Toward Pareto-Optimal Minima in Human Activity Recognition NCSU (Co-Supervisor) Jan 2020 – Aug 2021
Aditya Parkhi Novelty Detection in Textual Data using Document Encoders and Self Attention NCSU (Co-Supervisor) Jan 2020 – Aug 2021
Venkatesh Thimma Dhinakaran App Review Analysis via Active Learning: Reducing Supervision Effort Without Compromising Classification Accuracy RIT Jan 2019 – Sep 2019