Webinar Series - Digital Transformation in Industrial Automation with MATLAB

In the age of Industry 4.0, digital transformation is reshaping how industries design, monitor, and maintain their systems. From real-time integration between simulation models and industrial controllers to end-to-end predictive maintenance powered by AI, the convergence of automation, IoT, and machine learning is redefining industrial operations. MATLAB stands at the center of this transformation—providing a unified environment to design, simulate, and deploy solutions across embedded, desktop, and cloud platforms.

This exclusive 2-part webinar series explores practical, end-to-end approaches to building intelligent automation workflows. Learn how real-time MATLAB–PLC communication enables safe operator training and control testing without hardware risks, and how predictive maintenance applications can be designed from data acquisition to scalable AI model deployment using MLOps practices.

Join this webinar series to:

• Discover how MATLAB enables real-time integration with PLCs and industrial hardware for automation and training.
• Learn how to design predictive maintenance applications from sensor data acquisition through AI modeling and deployment.
• Explore deployment strategies across embedded devices, desktop apps, and cloud environments.
• Gain practical insights into how Industry 4.0 technologies can be implemented in industrial automation and asset health management.

Each session is designed to showcase practical workflows, actionable insights, and real-world relevance, empowering engineers and researchers to accelerate their Industry 4.0 journey using MATLAB and Simulink.

About the Presenters

Shubham Kapur | Senior Simulations Engineer | Oceaneering International Services Ltd.

Shubham Kapur is a Senior Simulations Engineer with deep expertise in developing software-driven digital twin applications for complex systems.

He specializes in real-time system simulation, HIL/SIL/MIL validation, software development, and communication protocol integration, enabling organizations to accelerate development cycles and deploy smarter, more efficient solutions.

Shubham has been instrumental in projects that integrate MATLAB/Simulink, Unity, Python, and C/C++ to build advanced simulation platforms and AI/ML-powered predictive maintenance solutions. His work includes designing scalable architectures that seamlessly bridge simulation environments with industrial automation systems—empowering companies to train operators, validate control strategies, and optimize plant operations through a virtual-first workflow.

Koustubh Shirke | Senior Application Engineer | MathWorks India

Koustubh Shirke is a Senior Application Engineer at MathWorks, specializing in artificial intelligence solutions for Engineering Applications. With 9  years of experience in the automotive and industrial automation industries, he focuses on virtual sensor modeling, reduced order modeling, embedded AI,  IoT-based analytics, and cloud deployment.

At MathWorks, Koustubh supports engineers and scientists in establishing data-driven AI workflows, guiding them through the complete AI lifecycle from modeling to deployment across edge and cloud ecosystems. His expertise lies in bridging traditional engineering practices with modern AI capabilities, helping organizations harness artificial intelligence while maintaining industry-standard reliability and performance.

Peeyush Pankaj | Principal Application Engineer | MathWorks India

Peeyush Pankaj is a Principal Application Engineer at MathWorks, where he collaborates with engineering teams across the Automotive, Aerospace, and Industrial Automation (IAM) sectors to develop and deploy AI-powered solutions for complex system challenges. With over 14 years of experience, he enables organizations to integrate AI, machine learning, simulation, and data analytics into their workflow, driving innovation in areas such as, but not limited to, predictive maintenance, visual inspection, big data and fleet analytics, and enterprise-scale intelligence.

Prior to MathWorks, Peeyush built a strong foundation in the aviation industry, working on the design, testing, and certification of aircraft engines. He holds 25 patents in jet propulsion technologies and prognostic health monitoring, reflecting a career grounded in technical excellence and practical impact.