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8:30 a.m.
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Registration
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9:15 a.m.
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Welcome Note
9:15–9:30
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Sunil Motwani
MathWorks
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9:30 a.m.
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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
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Seth DeLand
MathWorks
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9:55 a.m.
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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
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Avinash Nehemiah
MathWorks
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10:20 a.m.
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Keynote: Digital Engineering at Scale: Concept to Certified Reality
Digital engineering at scale is transforming how complex systems are conceived, designed, and certified. Explore an integrated digital thread connecting requirements, design models, CAD, and advanced analysis to enable automated, stakeholder-driven product development. Learn about emerging industry practices, from digital twin ecosystems providing a unified operational view for multiple stakeholders, to AI-powered knowledge management and engineering copilots. Discover next-generation AI-enabled capabilities in cockpit and cabin environments, along with evolving approaches and tools for certifying AI in safety-critical systems, and see how digital concepts are increasingly becoming certified reality.
Savyasachi Srinivas
Collins Aerospace (An RTX Business)
Savyasachi Srinivas is the vice president of Global Engineering & Technology Centers (GETC) at Collins Aerospace, leading operations across India, Poland, and Puerto Rico. Savya is part of the Enterprise Engineering organization and is responsible for the overall strategy, growth, and delivery of global engineering centers. His teams provide critical engineering support across all Collins Aerospace strategic business units (SBUs), driving execution of both commercial and military programs for customers worldwide.
Savya brings over two decades of global aerospace and defense experience across the United States and India. He has led cross-functional, geographically distributed teams to develop and deliver large-scale, mission-critical systems in aerospace, aviation, and defense domains.
10:20–10:50
Savyasachi Srinivas
Collins Aerospace (An RTX Business)
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Savyasachi Srinivas
Collins Aerospace (An RTX Business)
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10:50 a.m.
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Tea Break, Technology Showcase* and Networking
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11:30 a.m.
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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
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Vijayalayan R
MathWorks
Shuvadeep Chakraborty
MathWorks
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12:00 p.m.
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Panel Discussion: Engineering the Systems of Tomorrow: From Copilots to Agentic Workflows—Productivity, Verification, and the Skills Shift
As copilot-based assistance and emerging agentic AI capabilities become embedded in engineering workflows, organizations are navigating how to realize productivity gains without sacrificing rigor, verification, or accountability. In this panel, hear industry leaders discuss how keeping copilots and agents 'in the loop' is reshaping the way engineering work gets done—what is working today, where risks and limitations remain, and how teams are validating AI-assisted outputs in real-world systems. They will explore how verification, governance, and human oversight anchor trust as workflows evolve, and how engineering roles and skills are shifting from direct execution toward orchestration, validation, and system-level decision-making. Panelists will also share pragmatic goals and lessons learned as organizations transition from copilot-led assistance toward more agentic workflows over the coming year.
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.
12:00–1:00
Moderator: Prashant Rao
MathWorks
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Moderator: Prashant Rao
MathWorks
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1:00 p.m.
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Lunch, Technology Showcase* and Networking
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2:00 p.m.
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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.
2:00–2:40
Peeyush Pankaj
MathWorks
- Automotive
- Aerospace and Defense
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Peeyush Pankaj
MathWorks
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- Automotive
- Aerospace and Defense
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2:00 p.m.
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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
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Vinayak Padmaji
MathWorks
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- Automotive
- Industrial Automation and Machinery
- Energy Production
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2:00 p.m.
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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
2:00–2:40
Sumit Garg
MathWorks
- Aerospace and Defense
- Communication Devices
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Sumit Garg
MathWorks
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- Aerospace and Defense
- Communication Devices
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2:00 p.m.
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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
2:00–2:40
Gaurav Dubey
MathWorks
Vamshi Kumbham
MathWorks
- Automotive
- Aerospace and Defense
- Medical Devices
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Gaurav Dubey
MathWorks
Vamshi Kumbham
MathWorks
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- Automotive
- Aerospace and Defense
- Medical Devices
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2:40 p.m.
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Model-Based Design and AI-Powered Predictive Maintenance for Motor Systems
Predictive maintenance is rapidly transforming industrial operations by enabling early fault detection, reducing downtime, and improving asset longevity. This talk presents a Model‑Based Design and AI‑powered predictive maintenance solution engineered specifically for induction motors in industrial environments. The proposed hardware–software predictive analytics solution inferentially monitors motor health by integrating physics‑based modeling with data‑driven intelligence.
Using Model-Based Design, detailed motor fault models and fault‑progression logics are developed, simulated, and validated through a systematic workflow. These models provide explainable insights into motor dynamics, enabling AI and machine learning classifiers and prediction networks to detect abnormal behavior early and accurately.
Prachi Zambare
Eaton India Innovation Center
Mayura Madane
Eaton India Innovation Center
2:40–3:20
Prachi Zambare
Eaton India Innovation Center
Mayura Madane
Eaton India Innovation Center
- Automotive
- Industrial Automation and Machinery
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Prachi Zambare
Eaton India Innovation Center
Mayura Madane
Eaton India Innovation Center
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- Automotive
- Industrial Automation and Machinery
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2:40 p.m.
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Digital Twin–Driven Battery Management for Medical Devices
Reliable battery performance is vital for all portable electronic devices. This session explores how Stryker designed an effective battery management system (BMS) that can accurately estimate hard‑to‑measure parameters such as state of charge (SOC), state of health (SOH), and thermal behavior using available sensor data. We also discuss active cell‑balancing strategies to maintain uniform cell voltage and SOC, ensuring optimal safety, longevity, and performance of the battery pack.
Jagdish Goswami
Stryker Global Technology Center
2:40–3:20
Jagdish Goswami
Stryker Global Technology Center
- Medical Devices
- Automotive
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Jagdish Goswami
Stryker Global Technology Center
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- Medical Devices
- Automotive
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2:40 p.m.
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HDL Code Generation for Satellite Systems
In modern satellite communication systems, significant research efforts are directed toward achieving higher data throughput by employing adaptive coding and modulation (ACM) schemes instead of the traditional constant coding and modulation (CCM) approach. Following this direction, ISRO designed an ACM-based modem to support multiple coding rates and modulation schemes for the efficient downlink of on-board payload data. The work for this pilot project was carried out using Model-Based Design and HDL Coder™. It has been successfully deployed to an experimental satellite.
During the initial stages of the design, the team studied different industry-standard high-level synthesis tools. HDL Coder gave flexibility in terms of traceability, platform-independent readability, verification, and optimization. Debugging at multiple points of the design using observers drastically reduced the verification time.
By coding using HDL Coder, the team was able to focus on algorithm design, validation, and configuring the parameters of the workflow. The rest of the flow was handled by the HDL Coder backend flow. A traditional design approach is an iterative process from algorithm design to hardware testing, which takes three to four times more time and efforts compared with Model-Based Design.
2:40–3:20
Anantha Shayanam
ISRO
- Aerospace and Defense
- Communication Devices
- Semiconductor
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Anantha Shayanam
ISRO
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- Aerospace and Defense
- Communication Devices
- Semiconductor
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2:40 p.m.
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Operationalizing MBSE for Modern Steering Systems
The increasing complexity of modern automotive steering systems, particularly electric power steering (EPS) and steer-by-wire (SBW) architectures, requires engineering approaches that support strong integration across mechanical, electrical, and software domains. Traditional document-based development often struggles to maintain architecture consistency, system traceability, and early verification while meeting safety standards such as ISO 26262.
Learn how model-based systems engineering (MBSE) can be operationalized using System Composer™ for steering system architecture development. The workflow begins with defining the system context, identifying external actors and vehicle subsystems, and establishing the system of interest (SOI). The system is then decomposed into functional and physical architectures, enabling clear definition of subsystem interactions, interfaces, and allocations.
Using a steering system case study, see how MBSE improves architecture visualization, cross-domain collaboration, interface management, and traceability. Get practical insights on adopting MBSE in automotive programs to accelerate development and improve system reliability for next-generation steering systems.
Dr. Arun S. Nair
Nexteer Automotive India Technical Center
Panneer Selvam
Nexteer Automotive India Technical Center
2:40–3:20
Dr. Arun S. Nair
Nexteer Automotive India Technical Center
Panneer Selvam
Nexteer Automotive India Technical Center
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Dr. Arun S. Nair
Nexteer Automotive India Technical Center
Panneer Selvam
Nexteer Automotive India Technical Center
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3:20 p.m.
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Tea Break, Technology Showcase* and Networking
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3:50 p.m.
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Automated Geometrical Feature Extraction from CAD Geometries for AI-Enabled Structural Stiffness Prediction
This presentation covers Hyundai Motor India Limited’s development of a toolkit based in MATLAB for automated geometrical feature extraction from 3D CAD files of ladder frames.
Operating on principles similar to 3D printing, this toolkit can 3D CAD files directly, label structural components by position, and extract over 150 geometric descriptors. Hyundai has used this automated pipeline to prepare a dataset of frame variants, reducing preprocessing effort to a fraction of the manual time and eliminating human error. This dataset has also been used to train a machine learning model for stiffness prediction.
This CAE-to-ML workflow establishes a scalable surrogate modeling framework that enables accelerated design iterations, cost-efficient optimization, and integration into design workflows for early-stage concept validation.
Dinesh Sannepally
Hyundai Motor India Limited
3:50–4:30
Dinesh Sannepally
Hyundai Motor India Limited
- Automotive
- Industrial Automation and Machinery
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Dinesh Sannepally
Hyundai Motor India Limited
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- Automotive
- Industrial Automation and Machinery
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3:50 p.m.
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To Be Announced
3:50–4:30
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3:50 p.m.
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High-Speed Interface Design with SerDes Toolbox
In the age of the internet, AI, and machine learning, the amount of data processed and transmitted is continuously increasing. To meet the demand, the data transfer rate in the modern system has increased significantly since the adoption of high-speed serial communication links. For example, 100 Gbps and 400 Gbps systems are available for Gigabit Ethernet, whereas the transfer speed of Fast Ethernet was 100 Mbps in 1995. Similarly, PCI link had speeds of 133 Mbps in the early nineties, and now PCIe 6.0 can transfer data at 64 Gbps per lane and PCIe 7.0 spec has a target speed of 128 Gbps per lane and supports up to 32 lanes in a link.
The backbone of every serial link system is a serializer/deserializer (SerDes), where the data is serialized with a clock embedded in it and then transmitted asynchronously across the link and received, processed, and sampled using the clock and deserialized for further processing.
In this talk, hear a brief introduction to HSIO links, SerDes design and its challenges, and various methods to analyze and accurately estimate the link performance using SerDes Toolbox™.
Ranjan K. Sahoo
NXP Semiconductors
3:50–4:30
Ranjan K. Sahoo
NXP Semiconductors
- Semiconductor
- Consumer Electronics
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Ranjan K. Sahoo
NXP Semiconductors
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- Semiconductor
- Consumer Electronics
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3:50 p.m.
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A Unified Model-Based Methodology for Consistent and Scalable Software Development
3:50–4:30
Sravanam Siva Tukaram
MOBIS Technical Center India
- Automotive
- Aerospace and Defense
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Sravanam Siva Tukaram
MOBIS Technical Center India
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- Automotive
- Aerospace and Defense
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4:30 p.m.
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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.
4:30–5:10
Munish Raj
MathWorks
- Automotive
- Technical Services and Consulting
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Munish Raj
MathWorks
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- Automotive
- Technical Services and Consulting
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4:30 p.m.
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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
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Rahul Choudhary
MathWorks
Dr. Dhruv Chandel
Speedgoat
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- Automotive
- Industrial Automation and Machinery
- Energy Production
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4:30 p.m.
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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
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Jayamohan Govindaraj
MathWorks
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- Aerospace and Defense
- Communication Infrastructure
- Consumer Electronics
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4:30 p.m.
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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
4:30–5:10
Gaurav Ahuja
MathWorks
Rajat Arora
MathWorks
- Automotive
- Aerospace and Defense
- Industrial Automation and Machinery
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Gaurav Ahuja
MathWorks
Rajat Arora
MathWorks
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- Automotive
- Aerospace and Defense
- Industrial Automation and Machinery
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5:10 p.m.
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End of Event
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