The ANIMH welcomes proposals from engineers, experts in information technology, information science, management, business logistics, and computer science including executives, academics, consultants, professional researchers, independent scholars, consultants, practitioners, and PhD/graduate students in statistics, mathematics, engineering, database quality control, management, computing technology, and engineering economics.

Topics of interest may be submitted for the following tracks

Track 1 – Smart Engineering Technology

Track 2 – Smart Data Science and Big Data

Track 3 – Smart Information Technology Management

Track 4 – Smart Digital Economy and Business Management

Track 5 – Smart Citizen, Policy, and Social Management

Track 6 – Smart Educational and Healthcare Management