AMSI Optimise 2019
17-21 June | Hyatt Regency Perth
AMSI Optimise is an annual networking and research-training event that aims to strengthen mathematical optimisation research engagement and its applications across industry.
Now in its third year, AMSI Optimise moves to Perth, bringing together industry leaders from the natural resources sector, academic experts and the nation’s current postgraduate talent. The event provides a platform to understand industry drivers and foster research collaborations, connecting business with Australia’s future workforce.
This event will comprise a three-day industry-focused conference, followed by a two-day research workshop. The symposium features expert and end-user talks, international guest speakers, collaboration showcases, industry challenge sessions and tutorials. The themes of the 2019 conference are Mining, Oil & Gas, Agriculture & Water.
AMSI Optimise is aimed at:
- anyone using optimisation, with opportunities to learn more about the current state of the art and to connect with others who have similar interests
- industry practitioners interested in exploring the benefits of engagement with optimisation research
- academics and postgraduate students wanting to better understand drivers and needs in this area
Full conference information, a call for submission of abstracts, and registration details can be found on the AMSI Optimise Website – www.optimise.amsi.org.au
RMITOpt is taking the opportunity provided by the visit of Professor Hong-Kun, to hold a one day
workshop on “Fixed points and Applications”. Prof. Hong Kun Xu is a distinguished professor
at Hangzhou Dianzi University in Hangzhou, China.
Where: RMIT AGR room – building 8 level 9 room 66 RMIT
Date: Monday 21st of May
Registration: Please send an email to firstname.lastname@example.org if you wish to participate. There is no registration fee but we need numbers for catering purposes.
Hong Kun Xu – Hangzhou Dianzi University
Markus Hegland – ANU
Scott Lindstrom – University of Newcastle
Hoa Bui – Federation University
Alex Kruger – Federation University
Janosch Rieger – Monash University
Nadezda Sukhorukov – Swinburne University
Vera Roshchina – RMIT
Andrew Eberhard – RMIT
It is intended to interpret this theme as broadly as possible i.e. to include but not restricted to the following:
– Fixed point theory
– Projection methods for feasibility problems
– Fractal derived from iterated function systems
– Application in signal processing
– Applications in approximation
Kind Regards (Program team)
Andrew Eberhard and Vera Roshchina
SUBMIT AN ABSTRACT TO PRESENT AT AMSI OPTIMISE 2018
SUBMISSIONS CLOSE 21 MAY
Returning in 2018, AMSI Optimise is an annual networking and research-training event that aims to strengthen mathematical optimisation research engagement and its applications across industry.
This event will comprise a three-day industry-focused conference, followed by a two-day research workshop. The symposium features expert and end-user talks, international guest speakers, collaboration showcases, industry challenge sessions and tutorials.
We are accepting abstracts for the poster session on Day 3 and workshop talks on Days 4 & 5 of the event under the conference themes of Humanitarian Applications and Decision Making Under Uncertainty.
The Poster Session on Day 3 will include a series of brief poster presentations, and is expected to be attended by conference delegates from industry as well as university-based delegates. This is a great opportunity to showcase your research to a wide audience and build your networks.
The Workshop Talks will be held on Days 4 & 5 of AMSI Optimise, limited to 30 minutes per talk including any question time. The audience is expected to mainly consist of university-based delegates.
Please limit your abstract to approximately 150-200 words and indicate whether you would prefer to submit a poster or present a workshop talk. Abstract submissions close Monday 21 May.
Up to $500 in prizes will be awarded to the best posters!
Submit your Abstract
Speaker: Asen Dontchev
Title: Constrained Spline Interpolation
Date and Time: Friday, March 2nd, 3:00pm – 4.00pm
Location: Building 8 Level 9 Room 66 (AGR) RMIT City campus (To connect via visimeet please contact email@example.com)
Abstract: It is well known that the interpolating cubic spline can be viewed as a solution of an optimal control problem. This fascinating connection between the classical approximation theory and the theory of optimal control has been explored by researches from both sides in different times and often independently. In this talk I will review some developments on spline interpolation with constraints. In particular, I will show how a long-standing open question about super-linear convergence of Newton’s method for best convex interpolation has been settled.
||Speaker: Iman Roozbeh
Title: Improving the optimisation of automated meal plan generation through a combination of specific health information and personal preferences
Date and Time: Tuesday, January 16, 10:30am – 11:30am
Location: Building 8 Level 9 Room 66 (AGR) RMIT City campus
Abstract: Proper dietary guidance is a critical component of chronic disease management. However, just 5,000 dietitians operate in Australia to serve the estimated 7 million people currently living with chronic disease. Our current approach to delivering health care is not coping now and it certainly won’t in the future. Dietitians face the challenges of integrating complex scientific information, lifestyle and food preferences, applied to a range of medical conditions. Dietitians cannot provide personalised meal plans to every client because the process is too time consuming and many do not have adequate training.
To address these issues, Health Delivered is developing a dietary management platform to tackle the growing rates of obesity, diabetes and other chronic health issues by building customised meal plans for patients. The platform has been created to build meal plans that account for social, personal and medical history as well as health goals and personal preferences, in an efficient manner and assist dieticians to see more number of clients and focus on quality of client care.