MATLAB and Simulink Seminars

Artificial Intelligence and Mechatronics using MATLAB and Simulink

Overview

MathWorks is organizing a full-day complimentary seminar, where our engineers will showcase the new capabilities in the latest releases of MATLAB and Simulink that will help your research, design, and development workflows to become more efficient. During the seminar we will cover different domains such as Artificial Intelligence, Internet of Things (IoT), System Modeling, Analysis and Control Design with practical examples. 

Highlights

In this seminar, we will demonstrate how MATLAB and Simulink can help you to:

  • Build predictive models using Large Sensor Data and Machine Learning 
  • Develop and deploy algorithms for Internet of Things (IoT) applications 
  • Build vision applications using Image Processing, Computer Vision and Deep Learning
  • Design Autonomous Systems with multiple sensors and using control strategies  
  • Generate code automatically and deploy it on embedded CPUs/GPUs

Who Should Attend

Engineering professionals involved in system design, development and test, including:

  • Engineers & Scientists
  • Professors & Faculty
  • Researchers

There is no fee for this seminar. Please note this seminar is not designed for students. If you are a student, please do not register for this seminar. You will be required to show a professional ID card to gain access to the seminar.

About the Presenter

Prashant Rao
Technical Manager, MathWorks India

Prashant Rao is a technical manager at MathWorks India. He leads a team of customer-facing engineers encompassing the application engineering, pilot engineering, and customer training roles. By applying industry and application expertise across numerous domains, Prashant and his team work with customers to enable the adoption of MATLAB and Simulink products for technical computing and Model-Based Design. Prashant has over 15 years of experience in application engineering and hardware design engineering roles. Prashant joined MathWorks in Germany in 2005 and worked with customers in the signal processing, communications, HDL code generation, and HDL verification domains before moving to India in 2009 to lead the MathWorks India Application Engineering team. Prior to joining MathWorks, Prashant worked at two semiconductor IP startup companies, Starcore LLC and PACT XPP Technologies AG. He has a master’s equivalent degree (Dipl.-Ing.) in microelectronics from the Technical University of Hamburg-Harburg (TUHH), Germany.

Shayoni Dutta
Senior Application Engineer, MathWorks  

Shayoni Dutta is a Senior Application Engineer at MathWorks focusing on technical computing. Her core experience lies in computational Biology models and simulation, advanced statistics, machine/deep learning, medical imaging and clinical-trial analytics.
Prior to joining MathWorks, Shayoni worked as a data scientist at Bayer and before that as an Imaging scientist at Sun Pharma Advanced research center. Parallelly she has served as adjunct faculty for the last 6 years at National Institute of Forensic sciences and Criminology under home Ministry.
She has a PhD. in Computational Biology from Indian Institute of Technology, Delhi.

Rishu Gupta
Ph.D., Senior Application Engineer, MathWorks India

Rishu Gupta is a senior application engineer at MathWorks India. He primarily focuses on image processing, computer vision, and deep learning applications. Rishu has over nine years of experience working on applications related to visual contents. He previously worked as a scientist at LG Soft India in the Research and Development unit. He has published and reviewed papers in multiple peer-reviewed conferences and journals. Rishu holds a bachelor’s degree in electronics and communication engineering from BIET Jhansi, a master’s in visual contents from Dongseo University, South Korea, working on the application of computer vision, and a Ph.D. in electrical engineering from University Technology Petronas, Malaysia with focus on biomedical image processing for ultrasound images.

Dhirendra Singh
Senior Application Engineer, MathWorks India

Dhirendra Singh is an application engineer at MathWorks India specializing in physical modeling and Controls. He has over 12 years of experience in Product Development, mathematical modeling, application deployment, and software automation. He was worked in the field of heat transfer, aerospace, power transmission and robotics.

Prior to joining MathWorks, Dhirendra worked for the advanced development group at the Whirlpool Global Technical Center developing the mathematical models of compressors, heat exchangers, and various refrigerants using MATLAB and Simulink. He previously worked with Crompton Greaves on power transformers and SIPAL Italy on aerospace projects from Boeing.

He has a Bachelor's Degree and a Master's Degree in mechanical engineering with specialization in CAD and automation from IIT Bombay.

Agenda

Time Title

09:00 - 10:00 AM

Registration

10:00 - 10:45 AM Keynote: Are You Ready for AI? Is AI Ready for You?
10:45 - 12:00 PM Data Analysis and Machine learning for building intelligent systems
  • Techniques to access and process large sensor data
  • Use various Machine Learning techniques to develop predictive algorithms
  • Integrate algorithms with embedded devices and enterprise IT platforms
  • IoT – How to get started?
12:00 - 12:30 PM Tea Break
12:30 - 13:45 PM Developing and Deploying Deep Learning Applications
  • Build deep learning models from scratch and perform transfer learning
  • Manage extremely large datasets
  • Accelerate and automate the labelling process using apps
  • Accelerate deep learning training using multiple GPUs and computer clusters
  • Automatic code generation and deployment on embedded devices

13:45 - 14:45 PM

Lunch Break

14:45 - 16:00 PM

Design and Deploy Control Algorithm for Mechatronic System
  • Modeling & Simulation of Multidomain systems (Mechanical & Electrical)
  • Predict and optimize system performance
  • Design and tuning of Control System
  • Verify and test mechatronic systems such as motor control, battery management using fewer hardware prototypes.
  • Eliminate manual coding errors by automatically generating code from the simulation model

16:00 - 17:15 PM

Q&A and Wrap-up

Product Focus

Registration closed