-2.png?width=1200&name=MATLAB%20Day%20Indonesia%20(1)-2.png "MATLAB Day Indonesia (1)-2")
MATLAB Day Indonesia offers a unique opportunity to delve into the future of engineering with a focus on electrification and AI. This event brings together industry professionals, academia, and experts to explore the transformative power of these technologies. Through industry-academia collaboration, MATLAB Day Indonesia aims to drive advancements in engineering by harnessing the potential of electrification and AI.
Experience the vibrant atmosphere of one of Indonesia's cities by joining us in your preferred location:
Bandung, Jakarta, OR Surabaya.
Choose the destination that resonates with your interests to discover how these cutting-edge technologies are shaping the future of engineering and driving innovation across various industries.
Don't miss out on this insightful event that will empower you with knowledge and networking opportunities in the exciting fields of electrification and AI.
| Time | Activities |
| 9:30 - 10:30 | Introduction: Collaboration MATLAB & Campus in Industry |
| 10:30 - 11:30 | Topic 1: Design and Simulating Autonomy for Construction Vehicle |
| 11:30 - 12:00 | Q&A - Session 1 |
| 12:00 - 13:00 | Lunch Time |
| 13:00 - 14:00 | Topic 2 : Using Machine Learning and Deep Learning for Energy Forecasting with MATLAB |
| 14:00 - 15:00 | Topic 3 : System Modeling and Simulation of an Electric Two-Wheeler: A Journey from Virtual Prototyping to Production |
| 15:00 - 15:15 | Q&A - Session 2 |
| 15:15 - 15:30 | Closing |
In this session, we will use an autonomous construction vehicle as an example to show how to use MATLAB and Simulink to develop and customize autonomy for off-road vehicles. We will show testing and optimization of the autonomous algorithms through a co-simulation between Simulink and popular game engines.
Create a map of the environment and determine the location of the vehicle, even given noisy sensor readings.
Use algorithms to plan a vehicle’s path given the vehicle’s dynamic constraints and the operator’s preferences.
Develop real-time motion control for obstacle avoidance and safe operation.
Establish co-simulation between Simulink and virtual environments built into game engines, such as Unity, using ROS for communication.
Customize the algorithms to address common constraints in different off-road scenarios.
The load on the grid depends on multiple external factors, making the data highly complex in nature. AI can be thought of as a tool to develop forecast models for this complex data. At present, domain experts spend valuable efforts cleaning data, searching for the right choice of predictive algorithms, and fixing the syntax of code. Manual deployment of developed models is also a cumbersome time-consuming process, that additionally requires IT expertise.
How to leverage domain expertise in the AI workflow using MATLAB.
How to deploy the algorithms seamlessly to enterprise scale solutions.
In this session, we will demonstrate how MathWorks products can help you perform these design activities for an Electric Two-Wheeler.
Performance Analysis – component sizing, component selection, 0-60 kph time, and range optimization
Controller Development and Testing – ABS algorithm development, regenerative braking algorithm testing, Vehicle Control Unit and Battery Management System.
Rasyiqah Annani is an Application Engineer at TechSource Systems, specializing in the domains of Image Processing, Computer Vision, Machine Learning, and Deep Learning with MATLAB. She leverages her expertise to assist diverse clients from various industries in a wide range of projects, including Real-time Object Recognition, Deep Learning and Computer Vision-based detection of manufacturing defects, data forecasting analytics, and multiple image processing endeavors.
To enhance her proficiency, Rasyiqah actively participates in MathWorks training courses covering topics such as robotics, image processing, artificial intelligence applications, and more. Additionally, she support in conducting seminars and workshops catering to both commercial and educational clients across the ASEAN region, with a particular focus on Malaysia and Indonesia
Rasyiqah holds a Master of Engineering Technology (Electrical and Electronics) from Universiti Kuala Lumpur. Her research interests revolve around image processing and computer vision, specifically utilizing artificial intelligence for the classification of medical images.
Claudine is a highly skilled professional specializing in modeling and simulation, verification, code generation, and tool automation using MATLAB/Simulink/Stateflow and cross-software configuration.
Her extensive knowledge and experience in these areas enable her to provide innovative solutions to complex engineering challenges.
With a strong background in sensor fusion and navigation applications, Claudine has developed a deep understanding of autonomous systems and ROS interface. She has leveraged her expertise to effectively integrate various technologies and successfully deploy autonomous solutions for multiple projects.
In her role as an application engineer, Claudine has demonstrated exceptional problem-solving skills. She has a proven track record of assisting customers in resolving their technical issues and overcoming obstacles. Her ability to quickly analyze and comprehend complex problems allows her to provide accurate and efficient solutions tailored to each customer's specific needs.
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The headline and subheader tells us what you're offering, and the form header closes the deal. Over here you can explain why your offer is so great it's worth filling out a form for.
Remember:
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