AI-powered Solutions for Complex Systems

AI tools based on deep learning has recently been suggested for many complex problems where a large amount of data is available. We will be working similar AI tools but problems from very different domains, namely, airport delay management after disruption and predicting prices of fresh produce under challenging climate conditions. Establishing a recovery flight schedule and prioritize flights during busy periods and disruptions at hub airports, minimizing delays and improving passenger connections is one problem and is to be studied by Anna. Developing a AI model for accurate fruit and crop price prediction, empowering farmers with informed decision-making and enabling consumers to make better choices when purchasing fruits and crops is the other problem and is to be studied by Diana.

Faculty Supervisor:

Kumaraswamy Ponnambalam

Student:

Partner:

National University of Kyiv-Mohyla Academy

Discipline:

Computer science

Sector:

Artificial Intelligence; Agriculture and Food; Aerospace

University:

University of Waterloo

Program: