Artificial Intelligence: From Design to Deployment

AI in Electrification: Battery SOC and SOH Estimation with Deep Learning

• Battery pack modeling and thermal design
• Artificial intelligence for model development
• MLOps: operationalizing an AI model in the cloud

End-to-End DevOps for Cloud-Native AI Apps in MATLAB:

• Using Docker and microservices with MATLAB
• AI model development with MATLAB Online Server and MATLAB Parallel Server
• Cloud deployment and enterprise integration with MATLAB Production Server and MATLAB Web App Server

Deployment of AI Models: Embedded to Cloud

• Sensor-based AI on Arduino hardware
• Audio- and video-based AI on Raspberry Pi and Android
• Cloud deployment: microservice, Docker, and standalone executables

Communications and Radar Systems: From Design to Deployment

5G NR Design with Satellite-Based Non-Terrestrial Network Channels

• Using satellite-based non-terrestrial network (NTN) narrowband and TDL channel models to simulate throughput of a 5G NTN PDSCH link
• Supporting Doppler pre-compensation at the transmitter and Doppler compensation at the receiver
• Practical timing and channel estimation using PDSCH reference signals

Bluetooth Network (System-Level) Simulation and WLAN Coexistence

• Modeling classic Bluetooth/low-energy piconets with PHY and protocol layers
• Simulating coexistence with WLAN network interference
• Modeling Bluetooth low-energy audio and mesh networks

Bluetooth LE Direction Finding for Indoor Localization

• Simulating a direction-finding packet exchange in the presence of RF front-end impairments, path loss, and additive white Gaussian noise
• Tracking the node position using Bluetooth direction-finding features and position estimation techniques
• Improving location accuracy using a Kalman filter from Sensor Fusion and Tracking Toolbox

MIMO System Design and Analysis

• Modeling large MIMO arrays
• Design feeding networks using RF PCB components
• Optimizing antenna performance using machine learning algorithms
• MIMO radar signal processing using Phased Array System Toolbox

Signal Integrity Analysis for High-Speed Digital Interconnects with MATLAB

• Channel analysis performed in the time and frequency domains
• Design and verification of high-speed links using IBIS-AMI models generated with SerDes Toolbox
• Importing pre- and post-layout PCB models

Connecting MATLAB to USRP for High-Speed Data Capture

• Capturing LTE spectrum
• Capturing wideband signals using multiple antennas
• WLAN signal detection and capture
• Wireless Waveform Generator app with USRP

Implementing Range-Doppler Radar on Xilinx RFSoC

• Deployment to Gen3 RFSoC using SoC Blockset
• Complete radar transceiver with a target emulator
• Fixed-weight beamformer for signal steering

DVB-S2 HDL Receiver Reference Application on FPGA/ASIC

• Building a DVB-S2 HDL receiver reference design using Model-Based Design
• Targeting DVB-S2 on Zynq ZC706 using an HW-SW prototyping workflow
• Current developments in other wireless HDL areas, such as WLAN, OFDM, and GPS

Electrification: From Prototyping to Production

MathWorks Solution for Electric Two-Wheeler Development

• Performance analysis: component sizing and selection, and range prediction
• Ride and handling analysis: riders’ comfort, speed bumps, and ABS testing
• Controller development and testing: vehicle control unit, battery management, and thermal management

Simscape Vehicle Templates

• Powertrain architectures for different vehicle models
• Simulating vehicle dynamics and optimizing suspension design for ride and handling characteristics
• Modeling and simulating single-axle, dual-axle, and multi-axle vehicles and trailers

Electrification: Embedded Software Development for Motor Control

• A Model-Based Design approach for motor control
• Complete motor control workflow, from modeling to deployment

Power Conversion Application Deployment on STM32 Processors

• Code generation and deployment of power conversion algorithms on STM32
• STM32 peripherals
• Signal monitoring and logging

Deploying Motor Control Algorithms to a TI C2000 Dual-Core Microcontroller and Infineon AURIX TC4x

• Multicore simulation and targeting using SoC Blockset
• Partition tasks across multicore for CPU-intensive applications

Robotics and Autonomous Systems: Development to Testing and Deployment

Motion Planning for Robotic Manipulators

• Generating a robot trajectory in MATLAB
• Simulating and visualizing the trajectory in Gazebo
• Connecting and controlling universal robot manipulators over ROS using MATLAB

Design, Simulate, and Validate UAV Applications

• Designing scenarios for UAVs
• HIL simulations with PX4 Autopilot, NVIDIA Jetson, and visualization in Unreal Engine
• Flight log analysis

Scenario Simulation for Automated Driving

• Creating scenes and scenarios in RoadRunner
• Interoperating with ASAM standards (openDRIVE, openSCENARIO, and OpenCRG)

Algorithms for Automated Driving

• Perception and sensor fusion
• Path planning and controls
• Reference applications: AEB, HLF, parking valet, and traffic negotiations

Real-Time (HIL) Testing of Automated Driving Algorithms

• Perception and sensor fusion
• Path planning and controls
• Reference applications: AEB, HLF, parking valet, and traffic negotiations

Real-Time (HIL) Testing of Automated Driving Algorithms

• Deploying algorithms to Speedgoat HIL
• Using Simulink Test to validate AD algorithms

Scenario Generation from Recorded Point Clouds

• Extracting road lanes
• Detecting and classifying dynamic objects
• Creating simulated scenarios in 3D

Model-Based Systems Engineering and Software Engineering

Model-Based System Engineering: Requirements to Architecture to Design

• Requirement engineering
• System architecture development
• Architecture-level trade studies
• MBSE to Model-Based Design transition

Service-Oriented Application Development

• Modeling and simulation of SOA-based services in Simulink
• Code generation and verification of SOA
• Integration and testing of generated code

Formal Methods‒Based Embedded Software (C/C++) Verification

• Application of formal methods to prove the absence of run-time errors
• Justifying coding rules (MISRA/CERT) with the help of a formal method tool
• Code inspection or review in a CI workflow using Polyspace