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Research Group Jana Diesner

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Jana Diesner

Prof. Dr.

Collaborating PI

Human-Centered Computing

Jana Diesner

leads the Human-Centered Computing group at TU Munich.

Her interdisciplinary group works on methods from network analysis, natural language processing, machine learning and AI, and integrates them with theories from the social sciences and humanities to advance knowledge about socio-technical systems and responsible computing. Jana earned her Ph.D. at Carnegie Mellon and joined TUM from the University of Illinois Urbana Champaign, where she was a tenured professor at the School of Information Sciences.

Team members @MCML

PostDocs

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Stephen Meisenbacher

→ Group Jana Diesner
 Human-Centered Computing

PhD Students

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Shaghayegh Kolli

→ Group Jana Diesner
 Human-Centered Computing

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Nafiseh Nikeghbal

→ Group Jana Diesner
 Human-Centered Computing

Publications @MCML

2026

[2]
S. Kolli • T. Cavelius • N. Nikeghbal • S. Dalal • J. Diesner
 StylisticBias: A Few Human Visual Cues Drive Most Social Bias in MLLMs.
AI4GOOD @ICML 2026 - Workshop on Trustworthy AI for Good at the 43rd International Conference on Machine Learning. Seoul, South Korea, Jul 06-11, 2026. To be published. Preprint available. URL GitHub
[1]
A. H. Kargaran • N. Nikeghbal • J. Diesner • F. Yvon • H. Schütze
 GlotOCR Bench: OCR Models Still Struggle Beyond a Handful of Unicode Scripts.
Preprint (Apr. 2026). arXiv GitHub

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2025-10-06 - Last modified: 2025-10-06