Siddiqi Shafaq

Siddiqi Shafaq is a Researcher at TU Graz's Institute of Human-Centred Computing, holding a Dr.techn. (technical doctorate), BSc, and M.Sc. Her work bridges computer science and human-centric applications, focusing on machine learning, data science, and education technology. She contributes to interdisciplinary research, including smart surveillance systems, cloud computing security, and IoT applications.

Her educational background includes advanced technical degrees, though specific institutions are not detailed. Research interests span machine learning interpretability, data cleaning frameworks, outlier detection in non-IID datasets, and educational paradigms like U-Learning. Her publications highlight innovation in declarative ML systems (SystemDS), ontology-driven opinion mining, and CPU-GPU optimization.

Her articles collectively explore trends in scalable data science pipelines, ethical AI practices, and real-world deployment challenges. Notable work includes analyzing internet addiction's academic impacts and designing trusted cloud platforms. No awards or grants are explicitly listed, though her active publication history suggests ongoing research engagement.

Shafaq is affiliated with TU Graz's Institute of Human-Centred Computing, contributing to both research and teaching activities (via unspecified courses). No student advisees or lab affiliations are mentioned in the provided data.