Vahid Behbood

Vahid Behbood is a Lecturer at the School of Computer Science within the Faculty of Engineering and Information Technology at the University of Technology Sydney (UTS). He belongs to the Decision Systems and e-Service Intelligence Research Laboratory in the Centre for Quantum Computation and Intelligent Systems.

• Ph.D. in Software Engineering from UTS (2014)

His research spans machine learning, big data analytics, computational intelligence, and transfer learning, with a focus on addressing data shortage challenges through fuzzy systems and domain adaptation. His work includes:

• Advancing fuzzy regression domain adaptation for cross-domain prediction
• Developing granular computing techniques for financial failure prediction
• Exploring SQL query error patterns in computer science education
• Designing IoT architectural frameworks via systematic reviews

Publications demonstrate expertise in neural networks, fuzzy logic, Bayesian methods, and financial data analytics. He applies these techniques to banking ecosystems, real estate valuation, and educational data mining.