MATLAB EXPO 2026 India

Time	Session	Speaker	Track	Tag
8:30 a.m.	Registration
9:15 a.m.	Plenary Welcome Note 9:15–9:30 Sunil Motwani MathWorks	Sunil Motwani MathWorks	Plenary
9:30 a.m.	Plenary Keynote: Embedded Intelligence: The Future of AI in Engineering Design Keynote: Embedded Intelligence: The Future of AI in Engineering Design Artificial intelligence, especially generative AI, is changing engineering design. It handles routine tasks and helps engineers be more creative in three key ways: Accelerating the engineering design loop by providing faster, data-driven solutions. Mixing human ideas with AI insights, changing the role of designers. Improving engineering design tools, making it easier to turn creative concepts into accurate, ready-to-build solutions. See how these advancements help engineers move beyond traditional limits and effectively bridge imagination with practical solutions. Seth DeLand MathWorks Seth DeLand is product manager at MathWorks for MATLAB Copilot. His focus is augmenting engineering and scientific workflows with generative AI. He has also held roles at MathWorks as product marketing manager for machine learning and numerical optimization products and in technical support. Prior to joining MathWorks, Seth earned his B.S. and M.S. in mechanical engineering from Michigan Technological University. His research was in mathematical modeling techniques for selective catalytic reduction on diesel vehicles to reduce NOx emissions. 9:30–9:55 Seth DeLand MathWorks	Seth DeLand MathWorks	Plenary
9:55 a.m.	Plenary Keynote: Accelerating Innovation with Model-Based Design and Generative AI Keynote: Accelerating Innovation with Model-Based Design and Generative AI Discover how generative AI and Model-Based Design can transform the way engineering teams innovate. Learn how organizations can combine trusted modeling and simulation workflows with emerging generative AI technologies to improve quality, reduce rework, and move faster from concept to validated designs. Avinash Nehemiah MathWorks Avinash Nehemiah leads a global team of over 60 product marketers and product managers at MathWorks, specializing in AI, Model-Based Design, wireless communication, computer vision, code generation, and more. His department is responsible for connecting customer and market needs with product roadmap and supporting strategic customers with product adoption. Avinash has over 15 years of experience as a product manager in computer vision, deep learning, and automated driving. Prior to joining MathWorks, he successfully led a team in developing an embedded computer vision-based solution to enhance patient safety in hospital rooms. Avinash earned a master’s degree in electrical and computer engineering from Carnegie Mellon University, where he focused his research on object recognition in radar imagery. 9:55–10:20 Avinash Nehemiah MathWorks	Avinash Nehemiah MathWorks	Plenary
10:20 a.m.	Plenary To Be Announced 10:20–10:50		Plenary
10:50 a.m.	Tea Break, Technology Showcase* and Networking
11:30 a.m.	Plenary What’s New in MATLAB and Simulink What’s New in MATLAB and Simulink Discover new capabilities in MATLAB^® and Simulink^® to support your research, design, and development workflows. Session highlights include: Desktop and editor enhancements to simplify coding and creating models Generative AI offerings, including MATLAB Copilot and Simulink Copilot New capabilities for testing and assessing code quality and for hardware-in-the-loop testing Additional support for key applications, including wireless communications, RF system design, and virtual ECUs Enhanced integrations with Python^®, VS Code, GitHub^®, and AI agents Vijayalayan R MathWorks Vijayalayan R leads Automotive Industry and Location Field Application Engineering at MathWorks India, helping customers adopt Model-Based Design for next-generation automotive programs spanning electrification, AI, and software-defined vehicles. He also contributes to the automotive ecosystem as secretary of the SAE India Bengaluru Section and volunteers as a STEM mentor with Katalyst India. With over 24 years of experience, he holds a master’s degree in control and instrumentation from IIT Madras. Shuvadeep Chakraborty MathWorks Shuvadeep Chakraborty leads the Application Engineering team for Aerospace and Defense at MathWorks India. He has been at MathWorks for the last two years and has over 22 years of industry experience. His core areas of interest are aerospace and aviation. Before joining MathWorks, Shuvadeep worked at Boeing, where he led the Digital Transformation program for Commercial Programs. He has also worked at Infosys and has set up multiple startups in the digital space in India and the US. 11:30–12:00 Vijayalayan R MathWorks Shuvadeep Chakraborty MathWorks	Vijayalayan R MathWorks Shuvadeep Chakraborty MathWorks	Plenary
12:00 p.m.	Plenary Panel Discussion: Engineering the Systems of Tomorrow Panel Discussion: Engineering the Systems of Tomorrow To Be Announced Moderator: Prashant Rao MathWorks Prashant Rao leads the Application Engineering team at MathWorks India. He and his team focus on helping customers adopt MATLAB and Simulink products to accelerate their engineering and software development processes and drive innovation. He works with customers ranging from large enterprises to startups in commercial, government, and educational organizations. Prashant is a regular contributor at industry forums and discussions on technology research and development megatrends. He was also recognized as one of 50 Most Influential AI Leaders In India – 2021 by Analytics India Magazine and is part of the AIM Leadership Council. Prashant was recently appointed as Hamburg Ambassador for Bengaluru—an honorary representative for Hamburg across the globe. 11:30–12:00 Moderator: Prashant Rao MathWorks	Moderator: Prashant Rao MathWorks	Plenary
1:00 p.m.	Lunch, Technology Showcase* and Networking
2:00 p.m.	AI and Autonomous Systems Automated Machine Learning and Trustworthiness for Fault Diagnostics Automated Machine Learning and Trustworthiness for Fault Diagnostics Discover an end-to-end approach to trustworthy fault diagnostics using automated machine learning. This session highlights scalable model development, explainability, and confidence-driven validation, while demonstrating deployment from edge-ready C/C++ to Python^® services and fleet analytics—bridging the gap between high-performing models and real-world industrial adoption. Peeyush Pankaj MathWorks 2:00–2:40 Peeyush Pankaj MathWorks Automotive Aerospace and Defense	Peeyush Pankaj MathWorks	AI and Autonomous Systems	Automotive Aerospace and Defense
2:00 p.m.	Electrification Optimizing DC Fast Charging to Improve Charging Speed and Battery Life Optimizing DC Fast Charging to Improve Charging Speed and Battery Life Fast charging is essential for the widespread adoption of electric and battery‑powered systems—from consumer electronics to electric vehicles. But pushing batteries to charge faster often harms their long‑term health, especially due to issues like lithium plating, which can reduce performance and compromise safety. See how a model‑based approach can make fast charging both quicker and safer. A detailed physics-based battery model demonstrates how model predictive control (MPC) can intelligently adjust charging in real time—enabling fast charging while preventing the conditions that damage batteries. Vinayak Padmaji MathWorks 2:00–2:40 Vinayak Padmaji MathWorks Automotive Industrial Automation and Machinery Energy Production	Vinayak Padmaji MathWorks	Electrification	Automotive Industrial Automation and Machinery Energy Production
2:00 p.m.	Radar, Wireless Communications, and HDL Deployment Radar and Communication System Design for Space Applications Radar and Communication System Design for Space Applications Learn how MATLAB^® and Simulink^® empower engineers to rapidly design, simulate, and analyze next-generation radar and satellite communication systems for aerospace, defense, and connectivity applications. Explore integrated workflows for scenario modeling, advanced signal and protocol simulations, visualization of asset trajectories, and toolbox capabilities for MIMO, phased arrays, and GNSS/GEO communications. Key topics include: The importance of integrated radar and satellite communication systems Scenario modeling, including asset trajectories, orbits, and visualizations Link budget analysis and performance evaluation Joint radar/Satcom use cases and rapid prototyping Sumit Garg MathWorks 2:00–2:40 Sumit Garg MathWorks Aerospace and Defense Communication Devices	Sumit Garg MathWorks	Radar, Wireless Communications, and HDL Deployment	Aerospace and Defense Communication Devices
2:00 p.m.	Systems and Software Engineering Advancing Software Architectures and Virtual Integration with Model-Based Design Advancing Software Architectures and Virtual Integration with Model-Based Design Learn how modern software architectures, virtual integration, and Model-Based Design trends are reshaping the future of system development. Discover how leading teams are: Building executable architectures Integrating earlier with virtual workflows Eliminating late-stage surprises Designing faster, smarter, and with higher quality Gaurav Dubey MathWorks Vamshi Kumbham MathWorks 2:00–2:40 Gaurav Dubey MathWorks Vamshi Kumbham MathWorks Automotive Aerospace and Defense Medical Devices	Gaurav Dubey MathWorks Vamshi Kumbham MathWorks	Systems and Software Engineering	Automotive Aerospace and Defense Medical Devices
2:40 p.m.	AI and Autonomous Systems Model-Based Design and AI-Powered Predictive Maintenance for Motor Systems 2:40–3:20 Mayura Madane Eaton India Innovation Center Prachi Zambare Eaton India Innovation Center Automotive Industrial Automation and Machinery	Mayura Madane Eaton India Innovation Center Prachi Zambare Eaton India Innovation Center	AI and Autonomous Systems	Automotive Industrial Automation and Machinery
2:40 p.m.	Electrification Digital Twin–Driven Battery Management for Medical Devices 2:40–3:20 Jagdish Goswami Stryker global Technology center Pvt Ltd Medical Devices Automotive	Jagdish Goswami Stryker global Technology center Pvt Ltd	Electrification	Medical Devices Automotive
2:40 p.m.	Radar, Wireless Communications, and HDL Deployment HDL Code Generation for Satellite Systems 2:40–3:20 Anantha Shayanam ISRO Aerospace and Defense Communication Devices Semiconductor	Anantha Shayanam ISRO	Radar, Wireless Communications, and HDL Deployment	Aerospace and Defense Communication Devices Semiconductor
2:40 p.m.	To Be Announced 2:40–3:20
3:20 p.m.	Tea Break, Technology Showcase* and Networking
3:50 p.m.	AI and Autonomous Systems To Be Announced 3:50–4:30 Automotive		AI and Autonomous Systems	Automotive
3:50 p.m.	Electrification To Be Announced 3:50–4:30		Electrification
3:50 p.m.	Radar, Wireless Communications, and HDL Deployment High-Speed Interface Design with SerDes Toolbox 3:50–4:30 Ranjan Sahoo NXP Semiconductor Consumer Electronics	Ranjan Sahoo NXP	Radar, Wireless Communications, and HDL Deployment	Semiconductor Consumer Electronics
3:50 p.m.	Systems and Software Engineering To Be Announced 3:50–4:30		Systems and Software Engineering
4:30 p.m.	AI and Autonomous Systems Develop Reliable Physical AI Systems with Model-Based Design Develop Reliable Physical AI Systems with Model-Based Design As physical AI systems such as autonomous vehicles, mobile robots, and UAVs grow in complexity, teams must deliver safe, reliable, and high-performance software faster. Traditional workflows often struggle to manage the interaction between perception, planning, control, and real-world physics, increasing development and validation effort. Discover how Model-Based Design using MATLAB^®, Simulink^®, and RoadRunner enables systematic design, simulation, and validation of physical AI systems in a unified environment. You will see how to prototype perception, navigation, planning, and control algorithms using realistic sensor simulation and virtual worlds, explore tradeoffs between deep learning and model-based approaches, and deploy optimized algorithms to edge platforms like NVIDIA^® Jetson^™ and Qualcomm^® Hexagon^® with confidence. Munish Raj MathWorks 4:30–5:10 Munish Raj MathWorks Automotive Technical Services and Consulting	Munish Raj MathWorks	AI and Autonomous Systems	Automotive Technical Services and Consulting
4:30 p.m.	Electrification Accelerate Power Converter Design and Control with Simscape and Speedgoat Accelerate Power Converter Design and Control with Simscape and Speedgoat Power electronics is a key enabler of global electrification, playing a central role in renewable energy integration, power transmission, electric vehicle (EV) charging infrastructure, and motor control systems. Developing these technologies requires selecting the right converter topology, properly sizing components, and designing reliable control algorithms. Explore workflows in Simscape Electrical^™ for choosing the appropriate model fidelity throughout the development cycle—from abstract device models for early system‑level design to detailed analysis using manufacturer‑provided components. You will see how these models support the design, testing, and validation of control algorithms in desktop simulation and real time through hardware‑in‑the‑loop (HIL) testing with Speedgoat^® hardware. Rahul Choudhary MathWorks Dr. Dhruv Chandel Speedgoat 4:30–5:10 Rahul Choudhary MathWorks Dr. Dhruv Chandel Speedgoat Automotive Industrial Automation and Machinery Energy Production	Rahul Choudhary MathWorks Dr. Dhruv Chandel Speedgoat	Electrification	Automotive Industrial Automation and Machinery Energy Production
4:30 p.m.	Radar, Wireless Communications, and HDL Deployment From 5G to 6G: Designing the Next Generation of Wireless Systems and Networks From 5G to 6G: Designing the Next Generation of Wireless Systems and Networks The wireless communications industry is rapidly advancing toward 6G technology, marking the next major evolution beyond 5G networks. As this transition unfolds, the focus is on creating ultra-fast, highly intelligent, and universally accessible wireless systems capable of supporting a vast ecosystem of AI-driven applications. Key technological enablers of 6G include higher frequency bands, native artificial intelligence, integrated sensing and communication (ISAC), and innovative network architectures. Highlights Modeling waveforms with channel bandwidths and subcarrier spacings (SCSs) beyond the maximum values stipulated by 5G NR Performing link-level and system-level simulations with 6G waveforms Examining the impact of hardware RF impairments at sub-THz carrier frequencies Modeling and simulating ISAC Exploring the applications of AI and machine learning in wireless communications problems Jayamohan Govindaraj MathWorks 4:30–5:10 Jayamohan Govindaraj MathWorks Aerospace and Defense Communication Infrastructure Consumer Electronics	Jayamohan Govindaraj MathWorks	Radar, Wireless Communications, and HDL Deployment	Aerospace and Defense Communication Infrastructure Consumer Electronics
4:30 p.m.	Systems and Software Engineering Building a Software Factory: Accelerate Model-Based Design with CI and Automation Building a Software Factory: Accelerate Model-Based Design with CI and Automation Discover how a digital software factory powered by CI/CD automation and model-based development is transforming the way teams design, test, and deliver complex software systems. Learn how seamless pipelines, automated simulation and testing, cloud-ready workflows, and continuous validation can take your engineering from slow and manual to fast, consistent, and production-ready. Gain insights into: Faster iteration Higher model and code quality Automated, scalable workflows Integration and compliance risk reduction Gaurav Ahuja MathWorks Rajat Arora MathWorks 4:30–5:10 Gaurav Ahuja MathWorks Rajat Arora MathWorks Automotive Aerospace and Defense Industrial Automation and Machinery	Gaurav Ahuja MathWorks Rajat Arora MathWorks	Systems and Software Engineering	Automotive Aerospace and Defense Industrial Automation and Machinery
5:10 p.m.	End of Event

*Technology Showcase will be running throughout the day.