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Faculty Profile

Highlights
These highlights are AI-generated using the faculty's CV and Google Scholar profile
Jonathan David Chase is an accomplished academic specializing in classical and quantum optimization, artificial intelligence, and urban computing, with impactful research and teaching in digital transformation and smart city applications.

Bridges advanced optimization and AI methodologies with real-world applications in urban computing, law enforcement, and cloud environments; recognized for scalable and practical solutions that enhance operational efficiency and resiliency; combines theoretical rigor with system-level innovation.

Focused research areas include Optimization techniques in classical and quantum domains; AI-driven urban computing; resource provisioning and deployment scheduling in cloud and law enforcement contexts; enhancing supply chain resiliency and digital transformation using advanced AI methodologies.
Cloud ComputingOptimizationLaw EnforcementUrban ComputingMachine Learning

Qualifications

  • PhD in Computer Science, Nanyang Technological University, Singapore, 2017
  • MEng (Hons) in Computer Science (First Class), University of Warwick, 2011

Research Interests

  • Classical and Quantum Optimization
  • Artificial Intelligence and its Applications
  • Urban Computing & Smart City
  • Supply Chain Resiliency
  • Digital Transformation through AI

Course(s) Taught in SMU

  • AI for Social Transformation
  • AI: Past, Present, and Future
  • Frontiers of Modern Computing: Present Essentials and Future Promises