MATLAB EXPO 2025 India

Technology Showcase

See product demonstrations from MathWorks experts and partner companies.

Predictive Maintenance Using the Analog Input Recorder App

  • Import and visualize: Import data from files or toolboxes, and visualize ensemble variables by condition
  • Generate features: Create, rank, and analyze features to distinguish nominal and faulty behavior
  • Export and automate: Export features to the Classification Learner app and generate models in MATLAB or Simulink

Build, Integrate, and Automate MATLAB and Simulink Applications

  • Desktop application
  • Web application
  • MATLAB apps
  • CI/CD integration and deployment automation

RAG in MATLAB: Empowering Engineering Applications with AI-Powered Chatbots

  • Leveraging local and public LLMs with MATLAB
  • Building a RAG workflow using Text Analytics Toolbox
  • Seamlessly converting a RAG workflow into a chatbot
  • Deploying the RAG chatbot as a stand-alone application or web app

Accelerate Motor Control Development: From Modeling to Deployment

  • Model and parameterize your motors
  • Jumpstart with prebuilt sensored and sensorless motor control algorithms
  • Generate and deploy algorithms to your desired target hardware

Design, Testing, and Integration of Grid Forming Converters, Renewables, and Microgrids

  • Renewable integration with grid forming controllers and HVDC
  • Microgrid design and techno-economic analysis
  • Optimization of EV changing stations with large-scale models
  • Testing of grid forming converters with various grid codes

Transportation Electrification Solutions

  • BEV powertrain design for sizing, durability, and range—electrifying last-mile mobility with three-wheelers
  • eVTOL electric drone model
  • Battery development for electric mobility—CAD to Simscape in developing battery thermal model

Real-Time FPGA HIL Simulations of Power Converters and Motor Models

Simscape HDL Workflow Advisor process:

  • Model converters like MMC and motors like PMSM in Simscape
  • Automatically generate HDL code
  • Deploy model to Speedgoat®

Wireless Network Modeling

  • Cell-free mMIMO
  • 5G SRS-based downlink MU-MIMO transmission modeling
  • 802.11be multi-link operation (MLO) with STR and EMLSR
  • Bluetooth®-WLAN coexistence exploration in 6 GHz band

Explore and Test 6G Waveforms Over the Air with MATLAB and SDRs

  • Create an 800 MHz pre-6G waveform, transmit it with an NI™ vector signal transceiver (VST)
  • Receive it with an NI X410 USRP™ radio
  • Bring that signal back into MATLAB for error vector magnitude (EVM) analysis

Digital Twin of a TI mmWave Radar

  • Showcase a waveform-level model of a Texas Instruments® mmWave radar
  • Integrate custom RF components to simulate real-world radar systems
  • Compare synthetic data generated by the model with real-world data from the TI radar

SerDes and Signal Integrity Analysis for High-Speed Digital Interconnects with MATLAB

  • End-to-end simulation and analysis for high-speed digital interconnects including mixed-signal components
  • Compliance analysis for industry standards like USB4, UCIe, and GDDR7
  • Customization and generation of IBIS-AMI models for advanced SerDes design and verification
  • Design space exploration with optimization workflows

Deploy and Verify HDL Neural Network–Based Digital Predistorter (DPD) on FPGA

  • Deploy a NN-based digital predistorter algorithm on an MPSoC board
  • Model data preprocessing logic and interface it with deep learning processor IP core and external memory
  • Verify the deployed NN-DPD algorithm using an orthogonal frequency-division multiplexing (OFDM) signal.

Designing RF/Antenna Systems for Wireless and Radar Applications

  • Antenna-RF-RF PCB integration in Simulink
  • 3P antenna integration and optimization
  • AI in antennas

Developing and Prototyping SOA-Based ADAS Apps

  • Model-Based Design for development of service-oriented algorithms
  • Multicore application deployment on Renesas® R-Car SoCs
  • Deployment and testing of SOA-based ADAS algorithms on SOCs

Developing and Validating Algorithms for Automated Driving

  • Scenarios and assets from recorded data for conditions in India
  • Scaling up validation for ADAS features (desktop simulation, SIL, HIL, cloud, CI/CT)
  • Algorithms for ADAS (V2V, V2X)

Deploying a Vehicle Detection System with Live Camera Input on Zynq-Based Hardware

  • Deploy a deep learning model on an FPGA trained for a vehicle detector algorithm​
  • Verify the deployed vehicle detector​
  • Extend the example by adding a live HDMI video input by deploying a streaming video algorithm to the FPGA on Zynq® device

Building Electric Vehicle Variants with Multiple Component Choices Using Model-Based Design

  • Model and configure electric vehicle variants with Model-Based Design
  • Automatically generate all possible variant configurations and analyze them
  • Test all vehicle variants across different criteria

Continuous Integration for Verification of an AUTOSAR-Compliant Battery Management System Using GitLab

  • Streamline your CI integration by using the CI/CD automation for Simulink Check support package
  • Improve build efficiency by identifying change impacts and rerunning only affected tasks, using template files for automatic pipeline generation
  • Configure GitLab® for effective source control and continuous integration

MathWorks Consulting Services: Simulink Version Upgrade Testbench

  • Automated Simulink Upgrade Testbench: Developed to streamline the upgrade process by automating regression tests and output comparisons, reducing manual validation efforts
  • Baseline generation and consistency check: Automatically generates baselines to compare base and target releases, ensuring consistent model behavior post-upgrade
  • Regressions and compliance verification: Detects regressions in MISRA compliance and overall model performance, enhancing reliability and efficiency

Transforming Code Quality and V&V in Modern Software Factories Using Polyspace

  • Validate code quality and automate testing directly within your IDE and CI pipelines
  • Seamlessly verify both manually written and automatically generated code
  • Test comprehensive unit and integration for C and C++ code in your embedded systems