Profile

Eduard Frankford

PhD Researcher

University of Innsbruck

Department of Computer Science

ICT Building Room 3M02, Technikerstraße 21a

A-6020 Innsbruck, Austria — Europe

Email: Firstname.Secondname [AT_NOSPAM] uibk.ac.at

Google Scholar

Research Interests

Project Experience

AI Factory Austria (AI:AT)

2025 – Present
Applied AI Expert / LLM Expert Innsbruck, Austria
  • Advise SMEs on the identification and prioritization of high-impact AI use cases, with a focus on LLM- and RAG-based solutions for industrial applications.
  • Assess the return on investment of LLM/RAG projects by analyzing expected business value, technical feasibility, implementation effort, and operating costs.
  • Develop and facilitate workshops on LLMs, RAG, and agentic AI to strengthen AI literacy, support strategic decision-making, and accelerate practical adoption.

CodeAbility Austria

2020 – 2024
Project Contributor Austria
  • Helped implement the CodeAbility platform for sharing teaching materials, enabling the exchange and reuse of programming education resources.
  • Implemented an AI tutor for the automated programming assessment system Artemis to support students with individualized assistance during programming exercises.
  • Integrated gamification elements into the learning environment to improve student engagement and user satisfaction.

Available Theses Topics

I provide guidance on topics suitable for seminars (SE), bachelor's (BSC), and master's (MSC) theses, primarily within the disciplines of computer science (CS), software engineering (SE), and information systems (IS). I mentor students from the University of Innsbruck and various other European institutions. Below is a compilation of potential thesis topics. Should any of these pique your interest, I welcome you to reach out.

Title Type Study
Introduction: This study reviews how large language models influence curricular design, teaching approaches, and assessment strategies in computer science education while incorporating ChatGPT in automated programming assessments.

Methodology:
  • Systematic Literature Review: Compile and analyze articles on curricular adaptations and ethical considerations.
  • Comparative Empirical Analysis: Assess student performance metrics before and after ChatGPT integration.
  • Integration of Findings: Combine literature insights with empirical data to derive actionable recommendations.
Introduction: This study explores chatbot interactions in programming assessments to uncover distinct user personas and evaluate the reliability of ChatGPT-generated feedback.

Methodology:
  • Data Extraction: Collect conversation metadata, linguistic features, sentiment cues, and engagement patterns.
  • User Persona Analysis: Identify and classify behavioral profiles based on interaction styles.
  • Performance Comparison: Evaluate student metrics before and after the integration of automated feedback.
  • Synthesis: Combine findings to assess the educational impact and reliability of AI-based feedback.
Introduction: This bachelor thesis with datum.coffee researches a camera-based AI system that recognizes coffee bean packages, extracts relevant label information, and matches it against a database to retrieve brewing and grinding profiles. PDF

Methodology:
  • Package Detection & Classification: Train computer vision models to identify coffee packaging under real-world conditions.
  • Information Extraction: Parse labels for brand, product name, roast level, origin, processing, roast date, and barcode.
  • Database Matching: Implement confidence scoring, matching logic, and fallback strategies for incomplete or ambiguous data.
  • Evaluation: Benchmark recognition accuracy, extraction quality, and runtime suitability in varying lighting and occlusion scenarios.
Introduction: This thesis designs and implements a chatbot within Artemis that questions students about their submissions to verify personal understanding.

Methodology:
  • Backend Development: Analyze submissions, generate questions, and evaluate student responses.
  • Frontend Integration: Embed an intuitive interface into Artemis for students and teachers.
  • Evaluation: Test the chatbot with example exercises and gather instructor feedback on usability and pedagogical value.

Once your bachelor's thesis topic has been confirmed, please prepare to present your project proposal during the "Seminar mit Bachelorarbeit". For tips on crafting an effective initial presentation, refer to this guide.

Publications