Faizal HAFIZ

Faizal HAFIZ is a Postdoctoral Research Fellow at SKEMA Business School, France, specializing in computational intelligence and machine learning applications. He holds a PhD from The University of Auckland (2020) and previously served as a Research Assistant Professor at King Saud University (2010-2016) and Utility Assistant Manager at Reliance Energy Ltd. (2008-2010). His research focuses on multi-criteria optimization, neural network architectures for financial forecasting, epidemic control strategies, and energy-efficient building systems.

Education:

• PhD in Computational Intelligence, University of Auckland, 2020

Research interests span computational intelligence, machine learning, and their applications in systems control, supply chain resilience, and financial modeling. His work integrates game theory for epidemic policy analysis and employs advanced optimization techniques like particle swarm algorithms and epsilon-constraint methods.

His recent publications address epidemic control strategies in heterogeneous networks, stock market forecasting using sparse neural architectures, and balancing energy consumption with thermal comfort in buildings. Collaborations include studies on supply chain reconfiguration under divergent policies and the psychological impacts on epidemic dynamics.

Scientific Awards:

• New Zealand International Doctoral Scholar in Computational Intelligence and Control (2016-2020)

Advising and Grants:

• Co-supervised M. MUBASHIR WANI's PhD thesis (2022)

Labs/Teams:
Affiliated with SKEMA's Centre for Analytics and Management Science, focusing on interdisciplinary research in operations research and data-driven decision-making.