Hatice Ay
RMIT University
PhD student in Mathematical Sciences at RMIT University with a background in industrial engineering, developing optimisation models to improve efficiency and solve real-world project management challenges.
Give me a quick overview of the type of mathematics you are studying, and/or the aims of your research and its potential applications/outcomes (how you would explain your work and studies to friends who don’t study maths?)
My research is in the area of optimisation, with a focus on real-world project management scheduling and routing problems. I develop mathematical models and algorithms that help organisations allocate limited resources more effectively. The aim is to increase efficiency, reduce costs, and shorten response times — for example, in situations like maintenance and warranty services where tasks need to be assigned to the right people at the right place and time.
How did you get into the mathematical sciences? Was there someone or something that inspired you to this field?
I’ve always loved solving problems, and mathematics is the best tool for tackling the hard — and therefore the most fun — ones. My background in industrial engineering introduced me to the practical applications of optimisation, where maths can directly improve real systems. Seeing its ability to make a real difference inspired me to pursue a PhD in mathematical sciences, where I can focus on developing new optimisation models and contribute to both theory and practice.
Winter School is designed to give students a deeper understanding of their area of research and expose them to others working in different fields/industries. Tell me about your Winter School experience. What was the most valuable part of the program for you?
Winter School was a rare opportunity to gain a deeper understanding of optimisation and see how different techniques are applied across a variety of fields. Sharing knowledge and exchanging perspectives with peers in a friendly, collaborative environment was especially valuable.
What was your main take away/s from AMSI-MATRIX Winter School? Something you learnt? A connection you made? Do you have new ideas for your work/research or see it in a new light?
My main takeaways from Winter School were learning how state-of-the-art optimisation techniques are applied in industry, gaining insights and advice from experts, and receiving constructive feedback and suggestions for improvement from peers. The program also inspired new ideas for my research, including potential ways to incorporate machine learning and artificial intelligence techniques into my models.
You received a grant to attend AMSI-MATRIX Winter School. How important was this in terms of your ability to attend, fully participate in the program and meet others studying in similar fields?
This generous grant was essential for my participation. Without it, I wouldn’t have been able to fully participate in Winter School or make the most of the lectures, workshops, and networking opportunities.
What advice would you give to someone who is considering applying for Winter School? How would you describe the conference to them?
I would highly encourage anyone interested in optimisation or mathematical sciences to join. It’s an excellent program where you’ll gain valuable insights for your research, learn how optimisation techniques are applied to real-world problems, and have the opportunity to connect with peers and experts in your field.
Where do you want the mathematical sciences to take you? Where do you see yourself in five, ten years time?
I want to contribute to solving real-world problems in industry and make significant improvements through optimisation and mathematical modelling.
Any other feedback/comments you would like to provide on the travel grant or AMSI-MATRIX Winter School?
I want to sincerely thank AMSI again for the grant. Winter School was a well-structured, highly educational, and collaborative program, and participating was extremely valuable for my research.