Aims and Scope

The conference aims to share and disseminate, to all branches of industries, information on the most recent and relevant research, theories and practices in industrial and systems engineering. We welcome papers in, but not limited to, the following areas:

Topic 1: AI, cognitive science, big data and analytics in professional fields, such as cyber security, accounting, law, medicine, education, etc.
Topic 2: Big Data Analytics curriculum design, development and delivery
Topic 3: Big Data as a business strategy and source of innovation
Topic 4: Advanced courses on decision analytics, modelling, algorithms, machine learning and visual analytics
Topic 5: Ethics, Trust and Governance in AI, Data and Analytics
Topic 6: AI and Big Data Analytics on industrial engineering programs
Topic 7: Approaches to teaching and assessing big data, Artificial Intelligence
Topic 8: Regulatory and data compliance issues with Big Data
Topic 9: Software for teaching AI, BDA and cognitive science