Luca Bennardo is a doctoral researcher at Karlsruhe Institute of technology (KIT), Germany. He is part of the Information Systems III research group, headed by Prof. Dr. Jella Pfeiffer.

He completed his bachelor's degrees in information systems at the Cooperative State University of Baden-Württemberg in Karlsruhe in cooperation with SAP and his master's degree in information systems at the University of Stuttgart, where he specialized in the field of data science.

Luca Bennardo is now part of the KD²School graduate programme, whose overarching research theme is the interdisciplinary and cross-locational study of the development of biosignal-adaptive systems to support economic decision-making. For his doctorate, he is focusing on processing and providing relevant biosignals, such as eye tracking in VR shopping environments, to support adivsors and increase customer satisfaction.

My research focuses on understanding whether integrating biosignals into the decision-making process for purchases provides added value for customers and advisors, and, if so, how these signals should be processed to achieve this. Furthermore, I am exploring the integration of novel technologies, particularly VR and LLMs, in these scenarios, as well as analysing their broader economic impact.

With that, my main focus areas are:

• Virtual and augmented reality (in the business environment)
• The organisational, procedural and technological implications of (generative) Artificial Intelligence
• Data analysis methods and programming
• Overarching topics in information systems

Education

Work Experience

Teaching before KIT (at DHBW):

• Tutorial: Operations Research 
• Tutorial: Basics of Statistics 
• Lecture: Basics of Consulting
• Seminar: Computer Science Research
• Lecture: New Concepts of IT Consulting: Data Analytics

Teaching at KIT:

• Bachelor Seminar: Intelligent & Responsible Information Systems
• Master Seminar: Intelligent & Responsible Information Systems
• Team Projekt (Information Systems): Software Development
• Team Project (Industrial Engineering & Management): Management & Technology
• Lecture: ERPsim (Information Systems II)
• Tutorial/Lecture: Responsible Artificial Intelligence 

Supervised Thesis Topics

• Beyond Explicit Feedback: Using Large Language Models to Extract Consumer Insights from Biosignals (Bachelor)
• Untersuchung des potenziellen Einsatzes von Künstlicher Intelligenz im Incident- und Service-Request-Management nach ITIL-4 aus wirtschaftlicher und technischer Perspektive (Bachlor)
• LLM-enabled Knowledge Management in Mid-sized Enterprises: A Comparison of Theoretical Concepts and Practical Implementation (Bachelor)
• Gaze-inferred Attribute Weights for Recommender Systems in Virtual Reality Retail: An Experimental Investigation (Master)

See "Teaching -> Thesis Offerings" for open thesis topics. You are also free to suggest your own topic, if that matches my research directions.