Agenda

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Tracks

A Technical Computing

B Model-Based Design

C Getting Started with MATLAB and Simulink

D Master Classes

E Innovation Auditorium

09:05
Welcome and Introduction, MathWorks
09:15
09:45
10:15
10:45
Break
11:15
A
Brushing Off Old Data: Gleaning Insights from Manufacturing Process Data
B
What's New in Simulink R2019a and R2019b
C
Introduction to MATLAB
D
AI Techniques in MATLAB for Signal, Time-Series, and Text Data
E
Preparing Future Engineers and Scientists for the Challenges of Digital Transformation
11:45
A
Deep Learning and Reinforcement Learning Workflows in AI
B
Controlling Complexity at McLaren Automotive with Model-Based Design
12:15
A
Extreme Quantum Mechanics in MATLAB
B
Systems Engineering: Requirements to Architecture to Simulation
C
Pixels to Features to Models: Object Detection and Image Segmentation
D
Deploying Deep Neural Networks to Embedded GPUs and CPUs
E
Developing a User Community to Drive Sharing, Self-Learning, and Personal Development
12:45
Lunch
Networking and Exhibition Time
14:00
A
Big Data, Big Transformation: Big Benefits for Large-Scale Engineering Products
B
Simulating Passenger Comfort and Motion Sickness in Autonomous Vehicles
C
Introduction to Simulink and Stateflow
D
Software Development Practices with MATLAB
E
Developing a Battery Management System Using Simulink
14:30
A
Becoming a Data-Centric Engineering Team: Catching Up to the Data Deluge
B
Automated Driving System Design and Simulation Using MATLAB and Simulink
E
Accelerating Embedded Software Verification with Polyspace Static Code Analysis
15:15
Break
15:45
A
Developing Smart IoT Sensors Using the MathWorks Toolchain
B
Synchronous Machine Modelling Using Simscape
C
Sensor Fusion and Tracking for Autonomous Systems
D
Simplifying Requirements-Based Verification with Model-Based Design
E
Predictive Maintenance with MATLAB
16:15
A
Industrial IoT and Digital Twins
B
Developing Fit-For-Purpose Simscape Models to Support System and Control Design
17:00
End of Day