Curriculum Design & Course Proposals

Visual AI: Image Understanding, Multimodal Models, and Generative AI

Doctoral Course Proposal & 20-Hour Syllabus | proposed to Scuola Normale Superiore (2026)

  • Overview: Designed a comprehensive, first-level PhD course as a conceptual roadmap transitioning from classical vision fundamentals to the deep learning era, computer vision problems (object detection, segmentation, etc.), CNNs, vision transformers, self-supervised learning, multimodal (vision-language) representation learning, and generative diffusion models.
  • [View Full Syllabus PDF]

Lectures

A Short Introduction to Model Calibration in Machine Learning

Lecture | within Doctoral Programme Bioeconomy, Leibniz Institute ATB (2024)

  • Topics: Trustworthiness in AI, probabilistic classifiers, Expected Calibration Error (ECE), overconfidence in deep neural networks, Platt scaling, and temperature scaling.
  • [View Lecture Slides PDF]

Explainable AI for Large Language Models: Local Explanations

Invited Guest Lecture | within XAI PhD Course at Scuola Normale Superiore (2026)

  • Topics: Local attribution methods for encoder/decoder architectures, Integrated Gradients, SHAP/LIME, Inseq framework, attention as explanation debates, and RAG interpretability.
  • Scope & Style: A discussion- and nuance-oriented seminar designed for doctoral researchers. Rather than repeating standard textbook definitions of basic attribution, the session focuses on critical open questions and recent methodological debates in LLM interpretability.
  • [View Lecture Slides PDF]

Industry & Outreach Talks

Explainable AI: How Can We Trust Deep Learning?

Invited Industry Talk | within Science Symposium - Industry Trends: Farming Forward - Smart Agri at Fruit Logistica 2025 (Berlin, Feb 2025)

  • Topics: AI reliability in production, detecting shortcut learning (“Clever Hans” predictors), saliency maps, class activation mapping, and XAI applications in optical backscattering imaging.
  • [View Talk Slides PDF]
  • [Fruit Logistica Blog Post]