Mahshad Lotfinia

Applied Computer Scientist



Cloud Network Engineer
GOSP - Generali Operations Service Platform
Aachen, Germany


Pattern Recognition Lab
FAU Erlangen-Nürnberg
Erlangen, Germany


mahshad.lotfinia@fau.de

Welcome

Profile Picture

I am an AI Researcher and Cloud Network Engineer, with academic and industrial experience across diverse technology sectors. As a multidisciplinary software developer deeply passionate about emerging technologies and AI, I thrive on exploring the frontiers of innovation. With a keen interest in leveraging new materials and AI-driven solutions, I am dedicated to pushing boundaries and fostering advancements that drive positive change.

Experience & Education

Industrial Experience

  • 07/2024 - Present: Cloud Network Engineer, GOSP - Generali Operations Service Platform, Aachen, Germany
  • 08/2022 - 06/2024: Research Employee - Mechanical Engineering, RWTH Aachen University, Aachen, Germany
  • 02/2022 - 07/2022: Working Student - Data Science, WBA Aachener Werkzeugbau Akademie GmbH, Aachen, Germany
  • 09/2021 - 01/2022: Working Student - Deep Learning, Virtonomy GmbH, Munich, Germany
  • 06/2019 - 04/2021: Research Assistant, Sharif University of Technology, Tehran, Iran

Academic Experience

  • 01/2026 - Present: Ph.D. Student, Pattern Recognition Lab, FAU Erlangen-Nürnberg, Erlangen, Germany
  • 09/2023 - 06/2024: Research Internship at the Lab for Artificial Intelligence in Medicine, University Hospital RWTH Aachen, Aachen, Germany
  • 08/2022 - 06/2024: Research Assistant, RWTH Aachen University, Aachen, Germany
  • 04/2021 - 07/2022: Visiting Student in Computational Science, University of Regensburg, Regensburg, Germany
  • 09/2018 - 07/2020: M.Sc. in Materials Science & Engineering, Sharif University of Technology
  • 09/2014 - 07/2018: B.Sc. in Materials Science & Engineering, Bu-Ali Sina University, Iran

News

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Jan 28, 2025: Awarded as a reviewer of the Year 2024 by European Radiology Experimental!



Featured Publications

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  • S. Tayebi Arasteh, M. Lotfinia, K. Bressem, R. Siepmann, L. Adams, D. Ferber, C. Kuhl, J.N. Kather, S. Nebelung, D. Truhn. "RadioRAG: Online Retrieval-augmented Generation for Radiology Question Answering". Radiology: Artificial Intelligence (2025), 7(4), e240476. RSNA, DOI: 10.1148/ryai.240476

  • S. Tayebi Arasteh, T. Han, M. Lotfinia, C. Kuhl, J.N. Kather, D. Truhn, S. Nebelung. "Large language models streamline automated machine learning for clinical studies". Nature Communications (2024), 15(1), 1603. Springer Nature, DOI: 10.1038/s41467-024-45879-8
    Paper of the Month award winner (€5000) at RWTH Aachen University

  • M. Mohammadi, M. Vejdanihemmat, M. Lotfinia, M. Rusu, D. Truhn, M. Maier, S. Tayebi Arasteh. "Differential privacy for medical deep learning: methods, tradeoffs, and deployment implications". npj Digital Medicine (2026). Springer Nature

  • S. Wind, J. Sopa, D. Truhn, M. Lotfinia, T.T. Nguyen, K. Bressem, L. Adams, M. Rusu, H. Köstler, G. Wellein, M. Maier, S. Tayebi Arasteh. "Multi-step retrieval and reasoning improves radiology question answering with large language models". npj Digital Medicine (2025). Springer Nature

  • S. Tayebi Arasteh, R. Siepmann, M. Huppertz, M. Lotfinia, B. Puladi, C. Kuhl, D. Truhn, S. Nebelung. "The Treasure Trove Hidden in Plain Sight: The Utility of GPT-4 in Chest Radiograph Evaluation". Radiology (2024), 313(2), e233441. RSNA, DOI: 10.1148/radiol.233441

  • M. Lotfinia, A. Tayebiarasteh, S. Samiei, M. Joodaki, S. Tayebi Arasteh. "Boosting multi-demographic federated learning for chest radiograph analysis using general-purpose self-supervised representations". European Journal of Radiology Artificial Intelligence (2025), 3(1), 100028. ScienceDirect, DOI: 10.1016/j.ejrai.2025.100028

Talks

2026


  • S. Tayebi Arasteh, M. Lotfinia, S. Afza, S. Nebelung, D. Truhn. "Cited But Not Read: Teaching Radiology AI to Actually Use the Evidence It Shows You". Baiosphere Medical 2026, Erlangen, Germany, June 2026

Voluntary Editorial Services

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Editorial Board Member



Peer-Reviewer

Contact

Feel free to reach out via the form below, or email me directly at mahshad.lotfinia@fau.de.