Saeed Aramesh
RMIT University
I am currently a PhD candidate at RMIT University, researching the integration of personnel staffing and project scheduling in multi-site residential construction projects. My work focuses on developing mathematical and distributionally robust optimisation models to improve efficiency, reduce costs, and address workforce shortages in the construction industry. I am passionate about applying advanced optimisation techniques, such as RSOME and stochastic programming, to solve real-world problems with practical impact.
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?)
I am studying optimisation, specifically developing mathematical models that integrate personnel staffing and project scheduling in multi-site construction projects. The aim is to minimise costs and delays while ensuring enough workers are available at the right time and place. These models could help construction companies and policymakers plan resources more efficiently, saving money and reducing project delays.
How did you get into the mathematical sciences? Was there someone or something that inspired you to this field?
My interest in mathematics started during my engineering studies, where I enjoyed solving complex problems using mathematical models. Later, I discovered optimisation and its power to improve real-world decision-making, which inspired me to pursue research in this field.
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?
The most valuable part was learning from experts about the latest advancements in optimisation and connecting with other students and researchers from across Australia. It gave me fresh perspectives and ideas for my own work.
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 takeaway was seeing how others apply optimisation in very different contexts. It helped me think more creatively about my own model and gave me ideas on new constraints and approaches I could try.
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?
The grant was very important, as it allowed me to attend and participate without worrying about travel and accommodation costs. It also gave me the chance to meet peers and experts in the field. Whenever I had a meeting, I had a suitable place for it.
What advice would you give to someone who is considering applying for Winter School? How would you describe the conference to them?
I would strongly recommend applying. Winter School is an excellent opportunity to deepen your knowledge, gain inspiration for your research, and build connections with like-minded people.
Where do you want the mathematical sciences to take you? Where do you see yourself in five, ten years time?
In five years, I see myself as an academic and researcher developing innovative optimisation models that solve real-world problems in construction and healthcare. In ten years, I hope to lead projects that have a measurable impact on industry and policy.
Any other feedback/comments you would like to provide on the travel grant or AMSI-MATRIX Winter School?
The organisation of the program was excellent. A bit more time for tutorials and discussion would make it even more valuable for future participants. Thanks Anna for her effort and organising such a valuable learning and networking event.