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Research Group Gjergji Kasneci


Link to website at TUM PI Matchmaking

Gjergji Kasneci

Prof. Dr.

Principal Investigator

Gjergji Kasneci

is Professor of Responsible Data Science at TU Munich.

His research focuses on transparency, robustness, bias, and fairness in machine learning algorithms and involves ethical, legal, and societal considerations with the goal of using artificial intelligence responsibly for the benefit of individuals and society.

Team members @MCML

PostDocs

Link to website

Bardh Prenkaj

Dr.

PhD Students

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Jan Batzner

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Mahdi Dhaini

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Alina Fastowski

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Sven Jacob

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Rohit Jagtani

Link to website

Yuxiao Li

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Felix Steinbauer

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Shuo Yang

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Chenchen Yuan

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Zheyu Zhang

Publications @MCML

2025


[3]
C. Wu • B. MaZ. Zhang • N. Deng • Y. He • Y. Xue
Evaluating Zero-Shot Multilingual Aspect-Based Sentiment Analysis with Large Language Models.
International Journal of Machine Learning and Cybernetics. Jun. 2025. DOI

2023


[2]
Z. Zhang • H. Yang • B. MaD. RügamerE. Nie
Baby's CoThought: Leveraging Large Language Models for Enhanced Reasoning in Compact Models.
BabyLM Challenge @CoNLL 2023) - BabyLM Challenge at the 27th Conference on Computational Natural Language Learning. Singapore, Dec 06-10, 2023. DOI GitHub

[1]
M. Muschalik • F. Fumagalli • R. Jagtani • B. Hammer • E. Hüllermeier
iPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios.
xAI 2023 - 1st World Conference on eXplainable Artificial Intelligence. Lisbon, Portugal, Jul 26-28, 2023. Best Paper Award. DOI