Sina Scholz

Photo of Sina  Scholz

- Research Assistant -


Ratzeburger Allee 160
23562 Lübeck
Gebäude 64, 2. OG, Raum 64

Email: s.scholz(at)uni-luebeck.de
Phone: +49 451 3101 5741

Curriculum Vitae

  • Since March 1, 2023, I have been working as a team member in the Mittelstand-Digital Center Schleswig-Holstein (MDZ) project at UTK under the supervision of Professor Nele Rußwinkel in the Human-Aware AI research group of the university of Lübeck:
    • My responsibilities include conducting workshops and interactive lectures on topics such as "Implementing AI in Business," AI-Readiness, Robotics (Social Robots, Service Robots, ..), and integrating ChatGPT into everyday work tasks.
    • I lead conversations with companies about AI and support by implementing the latest scientific findings in the field of AI within their businesses 
    • Additionally, I develop for the Mittelstand-Digital Zentrum project an online offering, particularly focusing on the creation of a "AI Detective" with the goal to detect AI-generated images
  • For further information, please do not hesitate to contact me or visit my LinkedIn profile

Interests

  • Human-Aware AI
  • Autonomous Agents
  • Robotics
  • Successful Human-Robot Interactions (HRI) and Human Machine Interfaces (HMI)
  • Emotion recognition and Situation-awareness
  • Generative AI
  • EU AI Act / AI Governance
  • AI in Healthcare and Sea Rescue Service (SAR - Search and Rescue)

Activities / current projects

  • Mittelstand-Digital Zentrum Schleswig-Holstein (MDZ-SH) 
  • Team member of Human-Aware AI 

Publications

2024

Alexander Werk, Sina Scholz, Thomas Sievers, and Nele Russwinkel,
How to Provide a Dynamic Cognitive Person Model of a Human Collaboration Partner to a Pepper Robot, in ICCM , Society for Mathematical Psychology, 2024.
Bibtex: BibTeX
@inproceedings{WeSchoSiRuICCM24,
  author    = {Alexander Werk and Sina Scholz and Thomas Sievers and Nele Russwinkel},
  title     = {How to Provide a Dynamic Cognitive Person Model of a Human Collaboration Partner to a Pepper Robot},
  booktitle = {ICCM},
  year      = {2024},
  volume    = {},
  pages     = {},
  publisher = {Society for Mathematical Psychology},
}