Shahrzad Shashaani

Shahrzad Shashaani is a PreDoc Researcher at Vienna University of Technology, affiliated with the College of Engineering. Her work spans multiple domains including artificial intelligence, recommender systems, and biomedical applications.

• Research Focus: Explainability in music recommender systems, sequential recommendation algorithms, and AI-driven diagnostics
• Projects: HumRec (2021–2025) - Explainability in Music Recommender Systems
• Technical Expertise: Machine learning, network security, autonomous vehicles, and biomedical sensor analysis

Recent publications highlight her contributions to contrastive learning in music recommendation, self-supervised intrusion detection, and Bayesian frameworks for graphene transistor-based enzyme activity analysis. She also explores AI applications in rapid pandemic screening protocols.

Her academic career combines engineering rigor with interdisciplinary applications, particularly in health analytics and intelligent systems. Current responsibilities include course instruction in "Experiment Design and Execution" (VU 194.192).