In-Person event
The Optimisation Community | Melbourne
July 17 2025
Melbourne, Australia
In-Person event
The Optimisation Community | Melbourne
July 17 2025
Melbourne, Australia
In-Person event
The Optimisation Community | Melbourne
July 17 2025
Melbourne, Australia
The Optimisation Community Melbourne: Powered by Gurobi and Sponsored by OPTIMA
Empowering Better Decisions with Mathematical Optimisation
📍 Melbourne Connect (The Studio - Ground Floor): 700 Swanston St, Carlton VIC 3053
📅 Thursday, 17 July 2025
🕒 3:00 PM – 6:00 PM (Arrival from 2:30 PM)
Solving Tomorrow’s Problems—One Gurobi Model
As industries navigate 2025’s evolving pressures—AI adoption, supply chain volatility, net-zero targets, and labour constraints—making faster, smarter decisions has never been more critical.
The Optimisation Community: Melbourne Edition, sponsored by OPTIMA brings together a vibrant network of professionals from industry and academia who are applying mathematical optimisation to solve real-world challenges at speed and scale.
Join us for an afternoon of actionable insights, local Melbourne-based success stories, and networking with peers using optimisation to drive tangible business impact.
Seats are limited—register now to secure your place!
👉 Register below!
🗓️ Agenda
Time
Session
2:30 PM
Arrival & Registration
3:00 PM
Welcome Remarks by Gurobi & OPTIMA
3:20 PM
Making Huge Models Tractable: A Workforce Management Case Study
Large organisations often have technical teams comprising hundreds of workers who need to be assigned to hundreds of thousands of tasks throughout the year. The assignment of these tasks must consider various restrictions, such as training levels and locations, while balancing costs including reallocation, upskilling, and overtime.
Mathematical models can be defined to handle all these factors simultaneously. However, this approach quickly becomes intractable for large companies like Telstra, with the number of decision variables rapidly exceeding billions. In this talk, we will explore the solution approach chosen by Endgame Analytics, which breaks down Telstra’s workforce management problem into independent steps, each solved using MIP models. This method provides solutions that aid in strategic decision-making regarding hiring, upskilling, reallocation, and overtime allowance for Telstra’s technician team.
Presented by: Nicolau Andres-Thio | Consultant | Endgame Analytics & OPTIMA Associate Investigator
3:40 PM
Solving Real-World Scheduling Problems at Scale: Lessons from Industry Applications
Scheduling problems often involve assigning the right people to the right tasks at the right time — all while managing constraints like availability, capacity, travel, and customer expectations. In large enterprise environments, this quickly becomes a highly complex optimisation challenge.
At JDR Software, these problems are addressed using a combination of custom-built algorithms, practical heuristics, and rigorous modelling techniques tailored for production environments. In this talk, we will explore how JDR approaches large-scale scheduling and timetabling scenarios, the types of constraints most common in industry use cases, and how optimisation tools are applied in customer-facing software systems. Attendees will walk away with a better understanding of the trade-offs between solver precision and operational performance, and how smart algorithm design bridges that gap.
Presented by: Behrooz Ghasemishabankareh | Algorithm Specialist | JDR Software
4:00 PM
Gurobi on GPUs: Current State and Future Directions
Recent research applying Primal-Dual Hybrid Gradient (PDHG) methods to linear programming has shown that first-order methods can be a useful part of the mathematical programming toolbox. These algorithms also lend themselves to GPU-based implementations, raising the prospect of exploiting the current surge in hardware development for optimisation applications.
This session will focus on the current state of Gurobi’s GPU capabilities and explore future directions for leveraging GPUs in optimisation. Attendees will gain insights into how GPU technology can enhance the performance of Gurobi’s solver and what advancements are on the horizon.
Presented by: Simon Bowly | Senior Developer | Gurobi
4:20 PM
Fireside Chat: Beyond the Model - How Organisations Are Navigating Optimisation in 2025 and Beyond
In this fireside chat, our panel of experts will explore how optimisation is evolving beyond the solver — influencing culture, capability, and the way teams make decisions. Expect a candid discussion on the rise of decision intelligence, cross-functional collaboration, talent challenges, and what it really takes to embed optimisation into enterprise workflows.
Panellists include:
David Ming | Senior Manager | Deloitte (Engineering, AI and Data)
Heng-Soon Gan | Senior Advisor | Workforce Analytics
Riley Clement | Optimisation Engineer | Gurobi
4:50 PM
Networking Reception
6:00 PM
Event Concludes
🌏 Other Cities on the Roadshow
Perth | Thursday, 7 August 2025
Sydney | Thursday, 14 August 2025
Brisbane | Thursday, 25 September 2025
Auckland New Zealand | Official Date TBA
The Optimisation Community Melbourne: Powered by Gurobi and Sponsored by OPTIMA
Empowering Better Decisions with Mathematical Optimisation
📍 Melbourne Connect (The Studio - Ground Floor): 700 Swanston St, Carlton VIC 3053
📅 Thursday, 17 July 2025
🕒 3:00 PM – 6:00 PM (Arrival from 2:30 PM)
Solving Tomorrow’s Problems—One Gurobi Model
As industries navigate 2025’s evolving pressures—AI adoption, supply chain volatility, net-zero targets, and labour constraints—making faster, smarter decisions has never been more critical.
The Optimisation Community: Melbourne Edition, sponsored by OPTIMA brings together a vibrant network of professionals from industry and academia who are applying mathematical optimisation to solve real-world challenges at speed and scale.
Join us for an afternoon of actionable insights, local Melbourne-based success stories, and networking with peers using optimisation to drive tangible business impact.
Seats are limited—register now to secure your place!
👉 Register below!
🗓️ Agenda
Time
Session
2:30 PM
Arrival & Registration
3:00 PM
Welcome Remarks by Gurobi & OPTIMA
3:20 PM
Making Huge Models Tractable: A Workforce Management Case Study
Large organisations often have technical teams comprising hundreds of workers who need to be assigned to hundreds of thousands of tasks throughout the year. The assignment of these tasks must consider various restrictions, such as training levels and locations, while balancing costs including reallocation, upskilling, and overtime.
Mathematical models can be defined to handle all these factors simultaneously. However, this approach quickly becomes intractable for large companies like Telstra, with the number of decision variables rapidly exceeding billions. In this talk, we will explore the solution approach chosen by Endgame Analytics, which breaks down Telstra’s workforce management problem into independent steps, each solved using MIP models. This method provides solutions that aid in strategic decision-making regarding hiring, upskilling, reallocation, and overtime allowance for Telstra’s technician team.
Presented by: Nicolau Andres-Thio | Consultant | Endgame Analytics & OPTIMA Associate Investigator
3:40 PM
Solving Real-World Scheduling Problems at Scale: Lessons from Industry Applications
Scheduling problems often involve assigning the right people to the right tasks at the right time — all while managing constraints like availability, capacity, travel, and customer expectations. In large enterprise environments, this quickly becomes a highly complex optimisation challenge.
At JDR Software, these problems are addressed using a combination of custom-built algorithms, practical heuristics, and rigorous modelling techniques tailored for production environments. In this talk, we will explore how JDR approaches large-scale scheduling and timetabling scenarios, the types of constraints most common in industry use cases, and how optimisation tools are applied in customer-facing software systems. Attendees will walk away with a better understanding of the trade-offs between solver precision and operational performance, and how smart algorithm design bridges that gap.
Presented by: Behrooz Ghasemishabankareh | Algorithm Specialist | JDR Software
4:00 PM
Gurobi on GPUs: Current State and Future Directions
Recent research applying Primal-Dual Hybrid Gradient (PDHG) methods to linear programming has shown that first-order methods can be a useful part of the mathematical programming toolbox. These algorithms also lend themselves to GPU-based implementations, raising the prospect of exploiting the current surge in hardware development for optimisation applications.
This session will focus on the current state of Gurobi’s GPU capabilities and explore future directions for leveraging GPUs in optimisation. Attendees will gain insights into how GPU technology can enhance the performance of Gurobi’s solver and what advancements are on the horizon.
Presented by: Simon Bowly | Senior Developer | Gurobi
4:20 PM
Fireside Chat: Beyond the Model - How Organisations Are Navigating Optimisation in 2025 and Beyond
In this fireside chat, our panel of experts will explore how optimisation is evolving beyond the solver — influencing culture, capability, and the way teams make decisions. Expect a candid discussion on the rise of decision intelligence, cross-functional collaboration, talent challenges, and what it really takes to embed optimisation into enterprise workflows.
Panellists include:
David Ming | Senior Manager | Deloitte (Engineering, AI and Data)
Heng-Soon Gan | Senior Advisor | Workforce Analytics
Riley Clement | Optimisation Engineer | Gurobi
4:50 PM
Networking Reception
6:00 PM
Event Concludes
🌏 Other Cities on the Roadshow
Perth | Thursday, 7 August 2025
Sydney | Thursday, 14 August 2025
Brisbane | Thursday, 25 September 2025
Auckland New Zealand | Official Date TBA
The Optimisation Community Melbourne: Powered by Gurobi and Sponsored by OPTIMA
Empowering Better Decisions with Mathematical Optimisation
📍 Melbourne Connect (The Studio - Ground Floor): 700 Swanston St, Carlton VIC 3053
📅 Thursday, 17 July 2025
🕒 3:00 PM – 6:00 PM (Arrival from 2:30 PM)
Solving Tomorrow’s Problems—One Gurobi Model
As industries navigate 2025’s evolving pressures—AI adoption, supply chain volatility, net-zero targets, and labour constraints—making faster, smarter decisions has never been more critical.
The Optimisation Community: Melbourne Edition, sponsored by OPTIMA brings together a vibrant network of professionals from industry and academia who are applying mathematical optimisation to solve real-world challenges at speed and scale.
Join us for an afternoon of actionable insights, local Melbourne-based success stories, and networking with peers using optimisation to drive tangible business impact.
Seats are limited—register now to secure your place!
👉 Register below!
🗓️ Agenda
Time
Session
2:30 PM
Arrival & Registration
3:00 PM
Welcome Remarks by Gurobi & OPTIMA
3:20 PM
Making Huge Models Tractable: A Workforce Management Case Study
Large organisations often have technical teams comprising hundreds of workers who need to be assigned to hundreds of thousands of tasks throughout the year. The assignment of these tasks must consider various restrictions, such as training levels and locations, while balancing costs including reallocation, upskilling, and overtime.
Mathematical models can be defined to handle all these factors simultaneously. However, this approach quickly becomes intractable for large companies like Telstra, with the number of decision variables rapidly exceeding billions. In this talk, we will explore the solution approach chosen by Endgame Analytics, which breaks down Telstra’s workforce management problem into independent steps, each solved using MIP models. This method provides solutions that aid in strategic decision-making regarding hiring, upskilling, reallocation, and overtime allowance for Telstra’s technician team.
Presented by: Nicolau Andres-Thio | Consultant | Endgame Analytics & OPTIMA Associate Investigator
3:40 PM
Solving Real-World Scheduling Problems at Scale: Lessons from Industry Applications
Scheduling problems often involve assigning the right people to the right tasks at the right time — all while managing constraints like availability, capacity, travel, and customer expectations. In large enterprise environments, this quickly becomes a highly complex optimisation challenge.
At JDR Software, these problems are addressed using a combination of custom-built algorithms, practical heuristics, and rigorous modelling techniques tailored for production environments. In this talk, we will explore how JDR approaches large-scale scheduling and timetabling scenarios, the types of constraints most common in industry use cases, and how optimisation tools are applied in customer-facing software systems. Attendees will walk away with a better understanding of the trade-offs between solver precision and operational performance, and how smart algorithm design bridges that gap.
Presented by: Behrooz Ghasemishabankareh | Algorithm Specialist | JDR Software
4:00 PM
Gurobi on GPUs: Current State and Future Directions
Recent research applying Primal-Dual Hybrid Gradient (PDHG) methods to linear programming has shown that first-order methods can be a useful part of the mathematical programming toolbox. These algorithms also lend themselves to GPU-based implementations, raising the prospect of exploiting the current surge in hardware development for optimisation applications.
This session will focus on the current state of Gurobi’s GPU capabilities and explore future directions for leveraging GPUs in optimisation. Attendees will gain insights into how GPU technology can enhance the performance of Gurobi’s solver and what advancements are on the horizon.
Presented by: Simon Bowly | Senior Developer | Gurobi
4:20 PM
Fireside Chat: Beyond the Model - How Organisations Are Navigating Optimisation in 2025 and Beyond
In this fireside chat, our panel of experts will explore how optimisation is evolving beyond the solver — influencing culture, capability, and the way teams make decisions. Expect a candid discussion on the rise of decision intelligence, cross-functional collaboration, talent challenges, and what it really takes to embed optimisation into enterprise workflows.
Panellists include:
David Ming | Senior Manager | Deloitte (Engineering, AI and Data)
Heng-Soon Gan | Senior Advisor | Workforce Analytics
Riley Clement | Optimisation Engineer | Gurobi
4:50 PM
Networking Reception
6:00 PM
Event Concludes
🌏 Other Cities on the Roadshow
Perth | Thursday, 7 August 2025
Sydney | Thursday, 14 August 2025
Brisbane | Thursday, 25 September 2025
Auckland New Zealand | Official Date TBA
Speakers
Meet Your Expert Speaker
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.
Pawit Singcornrum
Account Executive, Renewals-Japan
Pawit is originally from Thailand and holds a Bachelor degree in Business and Administration from Thailand and an Associate degree in Computer Science from Japan. He is an IT professional with over seven years of experience in account management and renewals across the Asia-Pacific region, including Japan, Thailand, Taiwan, and Hong Kong, combining technical expertise with a strong cross-cultural perspective.
Trilingual in Thai, English, and Japanese and specializing in building strong client relationships and driving successful renewal strategies across diverse markets with proven track record of managing accounts, supporting business growth, and delivering consistent value to customers.
In his free time, Pawit enjoys exploring emerging technologies such as AI models and AI agents, as well as developing creative skills like video editing.
David Torres Sanchez
Mathematical Optimization QA Engineer
David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.
In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.
David Torres Sanchez
Mathematical Optimization QA Engineer
David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.
In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.
David Torres Sanchez
Mathematical Optimization QA Engineer
David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.
In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.
David Torres Sanchez
Mathematical Optimization QA Engineer
David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.
In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.
Speakers
Meet Your Expert Speaker
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.
Account Executive, Renewals-Japan
Pawit Singcornrum
Pawit is originally from Thailand and holds a Bachelor degree in Business and Administration from Thailand and an Associate degree in Computer Science from Japan. He is an IT professional with over seven years of experience in account management and renewals across the Asia-Pacific region, including Japan, Thailand, Taiwan, and Hong Kong, combining technical expertise with a strong cross-cultural perspective.
Trilingual in Thai, English, and Japanese and specializing in building strong client relationships and driving successful renewal strategies across diverse markets with proven track record of managing accounts, supporting business growth, and delivering consistent value to customers.
In his free time, Pawit enjoys exploring emerging technologies such as AI models and AI agents, as well as developing creative skills like video editing.
Mathematical Optimization QA Engineer
David Torres Sanchez
David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.
In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.
Mathematical Optimization QA Engineer
David Torres Sanchez
David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.
In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.
Mathematical Optimization QA Engineer
David Torres Sanchez
David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.
In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.
Mathematical Optimization QA Engineer
David Torres Sanchez
David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.
In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.
Speakers
Meet Your Expert Speaker
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.
Pawit Singcornrum
Account Executive, Renewals-Japan
Pawit is originally from Thailand and holds a Bachelor degree in Business and Administration from Thailand and an Associate degree in Computer Science from Japan. He is an IT professional with over seven years of experience in account management and renewals across the Asia-Pacific region, including Japan, Thailand, Taiwan, and Hong Kong, combining technical expertise with a strong cross-cultural perspective.
Trilingual in Thai, English, and Japanese and specializing in building strong client relationships and driving successful renewal strategies across diverse markets with proven track record of managing accounts, supporting business growth, and delivering consistent value to customers.
In his free time, Pawit enjoys exploring emerging technologies such as AI models and AI agents, as well as developing creative skills like video editing.
David Torres Sanchez
Mathematical Optimization QA Engineer
David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.
In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.
David Torres Sanchez
Mathematical Optimization QA Engineer
David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.
In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.
David Torres Sanchez
Mathematical Optimization QA Engineer
David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.
In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.
David Torres Sanchez
Mathematical Optimization QA Engineer
David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.
In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.
