TH Multiple MATLAB AEK Seminar-19Oct21

Session #1: Systems Thinking: A Computational Approach using Project-Based Learning with MATLAB and Simulink

19 October 21 | 10:00 - 12:00 (GMT+7) | English Language |

Via Zoom


Overview

Working with hardware has become a foundational skill for today’s engineering students. Simulink provides built-in support for prototyping, testing, and running models on the low-cost target hardware, such as Arduino®, LEGO® MINDSTORMS® robots, and Raspberry Pi. These boards can be used to build all kinds of fun and engaging robots and gadgets, and provide students a hands-on way to apply concepts learned in class.

Highlights:

In this session, the participants will gain an understanding of:

  • how MATLAB/Simulink support for low-cost target hardware including Arduino and Android can be used to teach courses within departments like Electronics and Communication, Electrical and Electronics, Computer Science, Instrumentation and Controls, Mechanical, and Automobile engineering.
  • Programming, developing algorithms, interactively teaching concepts using MATLAB, Simulink, and Stateflow.  
  • A brief overview of MATLAB and Simulink for Arduino Engineering Kit

Pre-requisite for the workshop: Simulink Onramp

Speaker: Naini Dawar from MathWorks

 

Session #2: Introduction for Arduino Education Engineering Kit Rev2

19 October 21 | 13:00 - 14:00 (GMT+7) | English Language |

Via Zoom

Overview

This session provides an introduction to Arduino Engineering Kit Rev 2 which is a versatile, hands-on learning tool that demonstrates key control systems concepts, core aspects of mechatronics, and MATLAB and Simulink programming.

 

Highlights:

In this session, the participants will learn:

  • What is Arduino Education
  • Engineering Kit REV2
  • Learning Goals and Benefits
  • Unboxing
  • How to access the learning platform

Speakers: Arduino Education Team from Imagineering Education Co., Ltd.

 

Session #3: How to use AEK with MATLAB

19 October 21 | 14:00 - 15:00 (GMT+7) | Thai Language | Via Zoom

Overview: Hardware Project Demonstration

Highlights:

In this talk, we show the experiment of using an AEK to build and control a self-balancing motorcycle:

  • Operation of the Self-balancing motorcycle

  • How to improve the control performance of the self-balancing motorcycle with MATLAB and Simulink

Speakers: Asst. Prof. Dr.Sudchai Boonto and Dr. Issarapong from King Mongkut's University of Technology Thonburi

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Speakers

NainiMW-Pic

Naini Dawar

Naini Dawar is an accomplished Education Customer Success Engineer for Mathworks ASEAN. She has worked to assist in the adoption of MATLAB and Simulink in university curriculum and research.

She contributed to the adoption of Online Teaching and Learning tools for universities in ASEAN. She also specializes in different sectors of market opportunities such as Power Electronics, Control Design, and Systems Engineering.

Arduino-Roxana Escobedo-R2

Roxana Escobedo

Roxana is Trainer Manager at Arduino Education. She has a background in Design, Communication, and Education with an M.Sc. in Interaction Design from Malmö University in Sweden.

She has experience in researching creative teaching and learning, as well as in designing learning environments for students and children with different learning abilities.

Dr. Sudchai Boonto(white)

Asst. Prof. Dr.Sudchai Boonto

Dr. Sudchai Boonto received the B.Eng in Electrical Engineering from King Mongkut’ s University of Technology Thonburi, Thailand, the M.Sc degree from the University of Manchester Institute of Science and Technology (UMIST), UK, and the Dr.-Ing. Degree from Hamburg University of Technology (TUHH), Germany, in 1995, 2000, and 2011, respectively. From 1995, he is with the department of control system and instrumentation at King Mongkut’s University of Technology Thonburi, Thailand. Since 2013, he has served as an Assistant Professor at the same university. Currently, he is the head of the department. His research interests include robust and gain-scheduled control systems, modeling uncertain, nonlinear, and linear time-varying systems, convex optimization, and machine learning.

Dr. Issarapong Khuankrue(white)

Dr. Issarapong Khuankrue

Dr. Issarapong Khuankrue graduated with a doctoral degree, majoring in electronics, information, and media engineering, at Nippon Institute of Technology (NIT), Japan, in 2018. His dissertation focuses on risk and data management, applying computational intelligence, and software engineering education. Moreover, his interests include industrial informatics, particularly the failure mode and effects analysis, agent-based approach, and human-machine systems based on cognitive aspects of learning. Since 2019, he is a lecturer in computer programming, algorithm design, and data science for automation courses at the Department of Control System and Instrumentation Engineering (Automation Engineering Program), the King Mongkut's University of Technology Thonburi (KMUTT), Thailand.

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