Julius Kirschbaum

Julius Kirschbaum, M. Sc.

Research Associate and Doctoral Student

School of Business, Economics and Society
Chair of Information Systems I, Innovation and Value Creation (Prof. Dr. Möslein)

Room: Room 5.428
Lange Gasse 20
90403 Nürnberg

Office hours

Each week Tu, 08:00 - 12:00, Room 5.428, Also on request. Gerne auch auf Anfrage.

Julius Kirschbaum holds a Master of Science degree in Industrial Engineering with a specialization in Material Science, earned from RWTH University in 2018. His academic focus during this period encompassed Metallurgy and Innovation Management. Throughout his studies, he actively contributed to prominent academic entities such as the “Chair and Institute of Industrial Engineering and Ergonomics,” the “IME Process Metallurgy and Metal Recycling,” and the “FIR an der RWTH,” where he served as a dedicated student assistant.

Since 2019, Julius has been pursuing his doctoral candidacy, engaging in research at the Chair of Information Systems – Innovation & Value Creation. His research endeavours primarily revolve around innovation ecosystems and artificial intelligence, with a particular emphasis on Natural Language Processing.

Beyond his academic pursuits, Julius has been a committed volunteer at Engineers without Borders (Ingenieure ohne Grenzen e.V.) since 2011. His volunteer work is centred on knowledge management and education, showcasing a holistic commitment to societal advancement.

Research Project:

Teaching:

FAU-Courses

Guest Lectures

  • Innovation and entrepreneurship for engineering, natural science, architecture and social science

Theses Offerings

Administration:

  • Student Assistants Employment (Einstellung von studentischen Hilfskräften)

Fields of Interest:

  • Fields of research
    • Ecosystem research
      • Innovation Ecosystems
      • Artificial Intelligence Ecosystems
    • Natural Language Processing
      • Conversational systems – ‘Chatbots’
      • Retrieval Augmented Generation (RAG) – ‘Chat with your data’
      • Text to graph solutions
  • Methodology
    • Topic modelling
    • Design Science Research (DSR)

Publications


Open Access: https://wim-magazin.de/ausgaben/catalogs/WiM-06-2024/pdf/WiM-06-2024.pdf
URL: