MATLAB EXPO 2019
See Full Details for Each Australasian Region MATLAB EXPO
Auckland | 21 May
Overview
MATLAB EXPO brought together engineers, researchers, and scientists to hear real-world examples, get hands-on demonstrations, and learn more about the latest features and capabilities of MATLAB and Simulink.
Featured Sessions
Keynote: Beyond the ‘I’ in AI
Michael Carone, MathWorks
Masterclass: Deep Learning and Reinforcement Learning Workflows in AI
Emmanuel Blanchard, MathWorks
Exhibitors
Agenda
Tracks
A Track A Master Classes
B Track B Master Classes
8:30
Registration
8:30
Registration
9:00
Welcome and Opening
9:00
Welcome and Opening
9:05
Keynote: Beyond the ‘I‘ in AI
Michael Carone, MathWorks
9:05
Keynote: Beyond the ‘I‘ in AI
Michael Carone, MathWorks
9:25
Guest Keynote: How Augmented Data and AI can Turbo Charge Value and Decision Making
Avi Sharabi, KPMG
9:25
Guest Keynote: How Augmented Data and AI can Turbo Charge Value and Decision Making
Avi Sharabi, KPMG
9:45
What's New in MATLAB and Simulink R2019a
9:45
What's New in MATLAB and Simulink R2019a
10:05
Morning Tea, Partner Exhibition and Networking
10:05
Morning Tea, Partner Exhibition and Networking
10:30
Becoming a Data-Centric Engineering Team: Catching up to the Data Deluge
Daryl Ning, MathWorks
10:30
Becoming a Data-Centric Engineering Team: Catching up to the Data Deluge
Daryl Ning, MathWorks
11:00
Milk Treatment Optimization
David Wilson, Auckland University of Technology
11:00
Milk Treatment Optimization
David Wilson, Auckland University of Technology
11:30
Design a Premium Dial Feel
Romain Garby, Fisher & Paykel Appliances
11:30
Design a Premium Dial Feel
Romain Garby, Fisher & Paykel Appliances
12:00
Deploying AI for Near Real-Time Manufacturing Decisions
12:00
Deploying AI for Near Real-Time Manufacturing Decisions
12:30
Lunch, Partner Exhibition and Networking
12:30
Lunch, Partner Exhibition and Networking
1:30
Software Development Practices with MATLAB
Simulink for Model-Based Design
1:30
A
Software Development Practices with MATLAB
B
Simulink for Model-Based Design
2:30
Afternoon Tea, Partner Exhibition and Networking
2:30
Afternoon Tea, Partner Exhibition and Networking
2:45
Deep Learning and Reinforcement Learning Workflows in AI
Emmanuel Blanchard, MathWorks
Industrial IoT and Digital Twins
2:45
A
Deep Learning and Reinforcement Learning Workflows in AI
Emmanuel Blanchard, MathWorks
B
Industrial IoT and Digital Twins
3:45
End of Day
3:45
End of Day
Melbourne | 23 May
Overview
MATLAB EXPO brought together engineers, researchers, and scientists to hear real-world examples, get hands-on demonstrations, and learn more about the latest features and capabilities of MATLAB and Simulink.
Featured Sessions
Keynote: Beyond the ‘I’ in AI
Michael Carone, MathWorks
Masterclass: Deep Learning and Reinforcement Learning Workflows in AI
Emmanuel Blanchard, MathWorks
Exhibitors
Agenda
Tracks
A Track A Master Classes
B Track B Master Classes
8:30
Registration
8:30
Registration
9:00
Welcome and Opening
9:00
Welcome and Opening
9:05
Keynote: Beyond the ‘I‘ in AI
Michael Carone, MathWorks
9:05
Keynote: Beyond the ‘I‘ in AI
Michael Carone, MathWorks
9:25
Guest Keynote: How Augmented Data and AI can Turbo Charge Value and Decision Making
Avi Sharabi, KPMG
9:25
Guest Keynote: How Augmented Data and AI can Turbo Charge Value and Decision Making
Avi Sharabi, KPMG
9:45
What's New in MATLAB and Simulink R2019a
9:45
What's New in MATLAB and Simulink R2019a
10:05
Morning Tea, Partner Exhibition and Networking
10:05
Morning Tea, Partner Exhibition and Networking
10:30
Becoming a Data-Centric Engineering Team: Catching up to the Data Deluge
Daryl Ning, MathWorks
10:30
Becoming a Data-Centric Engineering Team: Catching up to the Data Deluge
Daryl Ning, MathWorks
11:00
Using Model-Based Design to Create a Low-Cost, High-Feature Hybrid Electric Powertrain
Dr. Mohamed Awadallah, Dr. Peter Tawadros, and Dr Paul Walker, University of Technology Sydney
11:00
Using Model-Based Design to Create a Low-Cost, High-Feature Hybrid Electric Powertrain
Dr. Mohamed Awadallah, Dr. Peter Tawadros, and Dr Paul Walker, University of Technology Sydney
11:30
Deploying AI for Near Real-Time Manufacturing Decisions
11:30
Deploying AI for Near Real-Time Manufacturing Decisions
12:00
Lunch, Partner Exhibition and Networking
12:00
Lunch, Partner Exhibition and Networking
1:00
Software Development Practices with MATLAB
Simulink for Model-Based Design
1:00
A
Software Development Practices with MATLAB
B
Simulink for Model-Based Design
2:00
Afternoon Tea, Partner Exhibition and Networking
2:00
Afternoon Tea, Partner Exhibition and Networking
2:15
Deep Learning and Reinforcement Learning Workflows in AI
Emmanuel Blanchard, MathWorks
Industrial IoT and Digital Twins
2:15
A
Deep Learning and Reinforcement Learning Workflows in AI
Emmanuel Blanchard, MathWorks
B
Industrial IoT and Digital Twins
3:15
End of Day
3:15
End of Day
Sydney | 28 May
Overview
MATLAB EXPO brought together engineers, researchers, and scientists to hear real-world examples, get hands-on demonstrations, and learn more about the latest features and capabilities of MATLAB and Simulink.
Featured Sessions
Keynote: Beyond the ‘I’ in AI
Michael Carone, MathWorks
Masterclass: Deep Learning and Reinforcement Learning Workflows in AI
Emmanuel Blanchard, MathWorks
Exhibitors
Agenda
Tracks
A Track A Master Classes
B Track B Master Classes
8:30
Registration
8:30
Registration
9:00
Welcome and Opening
9:00
Welcome and Opening
9:30
Keynote: Beyond the ‘I‘ in AI
Michael Carone, MathWorks
9:30
Keynote: Beyond the ‘I‘ in AI
Michael Carone, MathWorks
9:50
Guest Keynote: How Augmented Data and AI can Turbo Charge Value and Decision Making
Avi Sharabi, KPMG
9:50
Guest Keynote: How Augmented Data and AI can Turbo Charge Value and Decision Making
Avi Sharabi, KPMG
10:10
What's New in MATLAB and Simulink R2019a
10:10
What's New in MATLAB and Simulink R2019a
10:30
Morning Tea, Partner Exhibition and Networking
10:30
Morning Tea, Partner Exhibition and Networking
11:00
Becoming a Data-Centric Engineering Team: Catching up to the Data Deluge
Daryl Ning, MathWorks
11:00
Becoming a Data-Centric Engineering Team: Catching up to the Data Deluge
Daryl Ning, MathWorks
11:30
Using Model-Based Design to Create a Low-Cost, High-Feature Hybrid Electric Powertrain
Dr. Peter Tawadros, Dr. Mohamed Awadallah, and Dr. Paul Walker, University of Technology Sydney
11:30
Using Model-Based Design to Create a Low-Cost, High-Feature Hybrid Electric Powertrain
Dr. Peter Tawadros, Dr. Mohamed Awadallah, and Dr. Paul Walker, University of Technology Sydney
12:00
Deploying AI for Near Real-Time Manufacturing Decisions
12:00
Deploying AI for Near Real-Time Manufacturing Decisions
12:30
Lunch, Partner Exhibition and Networking
12:30
Lunch, Partner Exhibition and Networking
1:30
Software Development Practices with MATLAB
Simulink for Model-Based Design
1:30
A
Software Development Practices with MATLAB
B
Simulink for Model-Based Design
2:30
Afternoon Tea, Partner Exhibition and Networking
2:30
Afternoon Tea, Partner Exhibition and Networking
3:00
Deep Learning and Reinforcement Learning Workflows in AI
Industrial IoT and Digital Twins
3:00
A
Deep Learning and Reinforcement Learning Workflows in AI
B
Industrial IoT and Digital Twins
4:00
End of Day
4:00
End of Day
Brisbane | 30 May
Overview
MATLAB EXPO brought together engineers, researchers, and scientists to hear real-world examples, get hands-on demonstrations, and learn more about the latest features and capabilities of MATLAB and Simulink.
Featured Sessions
Keynote: Beyond the ‘I’ in AI
Michael Carone, MathWorks
Masterclass: Deep Learning and Reinforcement Learning Workflows in AI
Emmanuel Blanchard, MathWorks
Exhibitors
Tracks
A Track A Master Classes
B Track B Master Classes
8:30
Registration
8:30
Registration
9:00
Welcome and Opening
9:00
Welcome and Opening
9:05
Keynote: Beyond the ‘I‘ in AI
Michael Carone, MathWorks
9:05
Keynote: Beyond the ‘I‘ in AI
Michael Carone, MathWorks
9:25
Guest Keynote: How Augmented Data and AI can Turbo Charge Value and Decision Making
Avi Sharabi, KPMG
9:25
Guest Keynote: How Augmented Data and AI can Turbo Charge Value and Decision Making
Avi Sharabi, KPMG
9:45
What's New in MATLAB and Simulink R2019a
9:45
What's New in MATLAB and Simulink R2019a
10:05
Morning Tea, Partner Exhibition and Networking
10:05
Morning Tea, Partner Exhibition and Networking
10:30
Becoming a Data-Centric Engineering Team: Catching up to the Data Deluge
Daryl Ning, MathWorks
10:30
Becoming a Data-Centric Engineering Team: Catching up to the Data Deluge
Daryl Ning, MathWorks
11:00
Creating an Embedded Product with a Small Development Team
Brendan Joiner & Neil Rutland, 2Infinity Controls
11:00
Creating an Embedded Product with a Small Development Team
Brendan Joiner & Neil Rutland, 2Infinity Controls
11:30
Default Investment Applications: The Qsuper Experience
Matt Armstrong, Qsuper
11:30
Default Investment Applications: The Qsuper Experience
Matt Armstrong, Qsuper
12:00
Deploying AI for Near Real-Time Manufacturing Decisions
12:00
Deploying AI for Near Real-Time Manufacturing Decisions
12:30
Lunch, Partner Exhibition and Networking
12:30
Lunch, Partner Exhibition and Networking
1:30
Software Development Practices with MATLAB
Simulink for Model-Based Design
1:30
A
Software Development Practices with MATLAB
B
Simulink for Model-Based Design
2:30
Afternoon Tea, Partner Exhibition and Networking
2:30
Afternoon Tea, Partner Exhibition and Networking
2:45
Deep Learning and Reinforcement Learning Workflows in AI
Emmanuel Blanchard, MathWorks
Industrial IoT and Digital Twins
2:45
A
Deep Learning and Reinforcement Learning Workflows in AI
Emmanuel Blanchard, MathWorks
B
Industrial IoT and Digital Twins
3:45
End of Day
3:45
End of Day
Keynote: Beyond the ‘I’ in AI
9:05 - 9:25
Insight. Implementation. Integration. AI, or artificial intelligence, is transforming the products we build and the way we do business. It also presents new challenges for those who need to build AI into their systems. Creating an “AI-driven” system requires more than developing intelligent algorithms. It also requires:
- Insights from domain experts to generate the tests, models, and scenarios required to build confidence in the overall system
- Implementation details including data preparation, compute-platform selection, modeling and simulation, and automatic code generation
- Integration into the final engineered system
Join us as Michael Carone demonstrates how engineers and scientists are using MATLAB® and Simulink® to successfully design and incorporate AI into the next generation of smart, connected systems.
Michael Carone
MathWorks
Michael Carone is a senior product marketing manager for the Simulink platform at MathWorks. Michael’s background is in mechanical engineering and engineering design methodologies. He has an M.S. from the Georgia Institute of Technology and a B.S. from Lehigh University, both in mechanical engineering.
Guest Keynote: How Augmented Data and AI can Turbo Charge Value and Decision Making
9:25 - 9:45
Avi Sharabi
KPMG
Avi Sharabi is a seasoned technology executive with over 20 years’ experience in delivering business solutions to large private and public organisations across the US and Australia. Prior to KPMG, Avi was a Partner at Deloitte where he started and led the NSW Business Intelligence team for 7 1/2 years managing a team of more than 50 consultants and partners. Avi holds a Bachelor degree in Computer Science (Highest Honours, Phi Beta Kappa) from the University of California Santa Cruz where he was a Regent Scholar (1995) and a Master’s degree in Legal Studies from UNSW (2003).
Keynote: Beyond the ‘I’ in AI
9:30 - 9:50
Insight. Implementation. Integration. AI, or artificial intelligence, is transforming the products we build and the way we do business. It also presents new challenges for those who need to build AI into their systems. Creating an “AI-driven” system requires more than developing intelligent algorithms. It also requires:
- Insights from domain experts to generate the tests, models, and scenarios required to build confidence in the overall system
- Implementation details including data preparation, compute-platform selection, modeling and simulation, and automatic code generation
- Integration into the final engineered system
Join us as Michael Carone demonstrates how engineers and scientists are using MATLAB® and Simulink® to successfully design and incorporate AI into the next generation of smart, connected systems.
Michael Carone
MathWorks
Michael Carone is a senior product marketing manager for the Simulink platform at MathWorks. Michael’s background is in mechanical engineering and engineering design methodologies. He has an M.S. from the Georgia Institute of Technology and a B.S. from Lehigh University, both in mechanical engineering.
Guest Keynote: How Augmented Data and AI can Turbo Charge Value and Decision Making
9:50 - 10:10
Avi Sharabi
KPMG
Avi Sharabi is a seasoned technology executive with over 20 years’ experience in delivering business solutions to large private and public organisations across the US and Australia. Prior to KPMG, Avi was a Partner at Deloitte where he started and led the NSW Business Intelligence team for 7 1/2 years managing a team of more than 50 consultants and partners. Avi holds a Bachelor degree in Computer Science (Highest Honours, Phi Beta Kappa) from the University of California Santa Cruz where he was a Regent Scholar (1995) and a Master’s degree in Legal Studies from UNSW (2003).
Masterclass: Deep Learning and Reinforcement Learning Workflows in AI
2:15 - 3:15
Two new workflows in AI, deep learning and reinforcement learning, are transforming industries and improving applications such as diagnosing medical conditions, driving autonomous vehicles, and controlling robots. This session dives into how MATLAB® supports these workflows including labelling, interoperability with open source, training deep neural networks, tuning and generating multi-target code for e.g. NVIDIA.
Emmanuel Blanchard
MathWorks
Emmanuel Blanchard is an application engineer at MathWorks who first joined the company as a training engineer. He taught several MATLAB, Simulink and SImscape courses as well as specialized topics such as machine learning, statistics, optimization, image processing and parallel computing. Prior to joining MathWorks, he was a Lecturer in Mechatronic Engineering at the University of Wollongong. He holds a PhD in Mechanical Engineering from Virginia Tech. He also worked as a Systems / Controls Engineer at Cummins Engine Company and as a research assistant in several research institutions in California and Virginia.
Masterclass: Deep Learning and Reinforcement Learning Workflows in AI
3:30 - 4:30
Two new workflows in AI, deep learning and reinforcement learning, are transforming industries and improving applications such as diagnosing medical conditions, driving autonomous vehicles, and controlling robots. This session dives into how MATLAB® supports these workflows including labelling, interoperability with open source, training deep neural networks, tuning and generating multi-target code for e.g. NVIDIA.
Emmanuel Blanchard
MathWorks
Emmanuel Blanchard is an application engineer at MathWorks who first joined the company as a training engineer. He taught several MATLAB, Simulink and SImscape courses as well as specialized topics such as machine learning, statistics, optimization, image processing and parallel computing. Prior to joining MathWorks, he was a Lecturer in Mechatronic Engineering at the University of Wollongong. He holds a PhD in Mechanical Engineering from Virginia Tech. He also worked as a Systems / Controls Engineer at Cummins Engine Company and as a research assistant in several research institutions in California and Virginia.
Masterclass: Deep Learning and Reinforcement Learning Workflows in AI
3:30 - 4:30
Two new workflows in AI, deep learning and reinforcement learning, are transforming industries and improving applications such as diagnosing medical conditions, driving autonomous vehicles, and controlling robots. This session dives into how MATLAB® supports these workflows including labelling, interoperability with open source, training deep neural networks, tuning and generating multi-target code for e.g. NVIDIA.
Emmanuel Blanchard
MathWorks
Emmanuel Blanchard is an application engineer at MathWorks who first joined the company as a training engineer. He taught several MATLAB, Simulink and SImscape courses as well as specialized topics such as machine learning, statistics, optimization, image processing and parallel computing. Prior to joining MathWorks, he was a Lecturer in Mechatronic Engineering at the University of Wollongong. He holds a PhD in Mechanical Engineering from Virginia Tech. He also worked as a Systems / Controls Engineer at Cummins Engine Company and as a research assistant in several research institutions in California and Virginia.