Academic Fall Seminar Series with MATLAB & Simulink

Please join MathWorks for a series of live MATLAB & Simulink webinars with our North American Academic Engineering team!

We invite you to attend the following free sessions focusing on how our tools support various disciplines for teaching and research areas across academia.

Register below for your preferred sessions. You can register for as many sessions as you like. Please note that seats are limited and therefore registration is required.

Engineering and Science Speaks MATLAB & Simulink

Friday, September 10th @ 11:00 am – 12:00 pm PDT

Discover how MATLAB and Simulink are used in research and industrial applications like spacecraft, autonomous cars, and robotic surgeries. In this webinar, we will explore how to simplify complex problems and solve them using engineering principles. Lastly, we will talk about the key megatrends on the future of science and technology and MathWorks resources available to help you deeply understand them.

Highlights

NASA Orion Spacecraft's guidance and navigation developed using MATLAB and Simulink
Enhancing human capabilities using artificial intelligence (Prosthetic Drumming at Georgia Tech)
How to program a step counter using MATLAB Mobile
Using MATLAB machine learning capabilities for limb reanimation by Battelle Neural Bypass
How to use face-detection and face-tracking program in MATLAB
Advanced driver-assistance systems by Subaru

About the Presenter

Esperanza Linares is a Customer Success Engineer at MathWorks. She collaborates with faculty, researchers, and students in the United States and Latin America to ensure their success through MathWorks products. Before joining MathWorks, she did her postdoctoral work in the pharmaceutical industry, where she developed a discrete element method model to simulate the compaction of granular materials. Esperanza has used MATLAB for image processing, data visualization, acquisition, and analysis throughout her career. She holds a BS in Mechanical Engineering from UNAM (Mexico) and a Ph.D. in Mechanical Engineering from Caltech.

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Teaching and Learning STEM Topics with MATLAB & Simulink

Friday, September 17th @ 12:00 pm – 1:00 pm PDT

In this webinar, we will discuss the importance of learning MATLAB and Simulink in the early stage of a STEM education.

Academic as well as industrial applications will be introduced, and examples of advanced plotting and vector algebra (Statics) will be covered. Teaching and learning resources such as MATLAB Grader, Live Scripts, self-paced trainings and resources for students will also be discussed.

Highlights

California Community College success story teaching MATLAB in a remote learning setting
Overview of MATLAB Grader as an instructional and learning tool
Illustration of MATLAB Live Scripts as an indispensable tool for coding, problem-solving, and reporting
Worked example: Advanced 2-D plotting
Worked example: Vector algebra applied to a Static case

About the Presenters

Dr. Angelo Esposito, Department Chair for Physics, Astronomy, Geology, and Engineering & Full Time Engineering Faculty at Orange Coast College

Chemical Engineering (B.S. and M.S. from University of Naples "Federico II") and Mechanical Engineering (Ph.D. from The Ohio State University and University of Salerno). Specialized in electrochemical power generation systems (e.g., fuel cells, batteries, etc.) for transportation as well as stationary applications. Authored over 20 peer-reviewed scientific publications and a patent.

Sumit Tandon, Manager, Customer Success Engineering, MathWorks

He has a BE in Electrical Engineering from Jadavpur University, India, and an MS in Electrical Engineering from the University of Texas at Arlington. He has been at MathWorks for over 14 years, advising MATLAB users in the industry and academia in various technical domains. Currently Sumit is a Manager in the Customer Success Engineering group at MathWorks. It is a group of Engineers and Scientists who partner with higher-ed and research institutions around the world on curriculum and research projects with a focus on student and research success.

Who Should Attend

STEM students interested in learning or expanding their knowledge of MATLAB. Educators looking to introduce MATLAB in their curriculum or convert it to a distance-learning format.

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Virtual Labs with MATLAB & Simulink

Friday, September 24th @ 11:00 am – 12:00 pm PDT

Developing new virtual lab activities or moving a laboratory course completely online while achieving learning objectives is challenging. It can be difficult to reproduce the collaborative and interactive learning environment that helps develop the soft skills needed for global industry. In this webinar, you will find ideas and resources for creating online labs using MATLAB and Simulink.

We will explore different approaches to implementing online labs including simulations, remotely accessed hardware, and home lab kits. Examples of these approaches using MATLAB and Simulink will be presented. We will also discuss strategies for creating engaging student experiences by incorporating tools within MATLAB and Simulink that enhance interactivity such as MATLAB apps, live scripts, and Simulink Online.

By attending this webinar, you will...

Learn how to map the fundamental components of lab work in engineering education to online formats. • Find out how to enhance student interactivity using tools such as MATLAB apps, live scripts, and Simulink Online. • Learn to create visually engaging lab activities using MATLAB and Simulink. • Observe how simulation can teach students new insights beyond what may be gleaned during in-person labs.

About the Presenter

Sumit Tandon, Manager, Customer Success Engineering, MathWorks

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Teaching Parallel Computing and Code Optimization with MATLAB

Friday, October 1st @ 11:00 am – 12:00 pm PDT

Many instructors want to equip students with skills to solve complex problems faced in industry or research world. Some real-world problems demand high performance computing solutions or optimized code to cut down computational time. In this webinar, we will focus on good programming habits in MATLAB for better code performance, explore the use of MATLAB Profiler for identifying bottlenecks in the code and also introduce workflows that take advantage additional hardware like multi-core CPUs, GPUs, etc. We will demonstrate how advanced computing techniques and workflows could be embedded to courses including data science, optimization, numerical methods, differential equations, structural mechanics, and signal processing.

Highlights

Understanding vectorization and best coding practices in MATLAB
Addressing bottlenecks in your programs
Incorporating compiled languages, such as C, into your MATLAB applications
Parallel and GPU Computing for Data Science and Engineering courses

About the Presenter

Aycan Hacioglu is a Customer Success Engineer at MathWorks. She has a BS in Chemical Engineering from Bogazici University, Turkey and a jointly awarded Ph.D. in Chemical Engineering from the University of Florida and Universite Lille1-Sciences and Technologies, France. Before joining MathWorks, she was an Assistant Teaching Professor at the Chemical Engineering Department of the University of Missouri for 3.5 years. She extensively used MATLAB for fluid dynamics and mass transfer simulations. She is experienced in mathematical modeling, process simulations, numerical methods and perturbation theory. She also integrated MATLAB to separation processes and transport phenomena courses she taught. She is excited to share her experience and passion to use MathWorks products in academia.

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Scaling up MATLAB Applications to Clusters and Clouds

Friday, October 1st @ 12:00 pm – 1:00 pm PDT

In this session, you will learn how to solve and accelerate computationally and data-intensive problems using multicore processors, GPUs, clusters, and the cloud. We will introduce you to high-level programming constructs that allow you to parallelize MATLAB applications and run them on multiple processors. We will also discuss how to take advantage of GPUs to speed up computations without low-level programming. You will learn how to prototype on the desktop and scale to more resources on clusters and in the cloud without recoding.

Highlights

Toolboxes with built-in support for parallel computing
Scaling desktop workflows to clusters for additional resources, without recoding
Using the cloud for additional compute capacity
Accelerating MATLAB applications with NVIDIA GPUs
Working with big data

About the Presenter

Bo Luan is an application engineer at MathWorks based in the Bay Area. He supports users in the field of data analytics, parallel computing, and application deployment. His experience focused on signal/image processing, statistics, machine learning, and mixed-signal embedded hardware. He holds a Ph.D. in Electrical Engineering from the University of Pittsburgh.

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What’s New in MATLAB for Neuroscience

Friday, October 8th @ 11:00 am – 12:00 pm PDT

Scientific computing is involved in nearly every type of neuroscience study today: from the cognitive to the cellular, from in vivo to in silico. MATLAB is continually evolving to support the demands of neuroscience research, including features for signal and image processing, machine and deep learning, data science, parallel computing, and Big Data handling. In this session, we will highlight how these capabilities can enhance your work.

About the Presenter

Sharon Kim is an Application Engineer at MathWorks in Santa Clara, CA. She specializes in supporting the image processing, signals processing and deep learning application areas. Sharon holds a B.S. in Biomedical Engineering from Johns Hopkins, and an M.S. and Ph.D. in Biomedical Engineering from Columbia University, where she conducted image and signal processing, machine learning, and data visualization on multi-spectral wide-field and microscopy images to study resting state brain activity.

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Green Hydrogen with MATLAB & Simulink – Production and Applications

Friday, October 15th @ 11:00 am – 12:00 pm PDT

In this webinar, hear about the electrification megatrend, and how MATLAB and Simulink can be used to tackle challenges in electrification projects. Specifically, you'll hear about the development of electrified powertrains powered by Hydrogen fuel cells and production of Green Hydrogen. You’ll hear about how you can speed up your development using Model-Based Design to develop embedded control software, gain insight into real-world usage by exploring a wide range of operational and environmental conditions that would be difficult to reproduce with hardware testing, and reduce real-world testing.

About the Presenter

Govind Malleichervu is an Automotive Industry Manager at MathWorks, where he works with customers to realize solutions for automotive systems development. Govind joined MathWorks in 2020. Previously, he was with Nikola Motors as a Fuel Cell Control Unit Manager, working on the Nikola Two heavy-duty truck program, and at Cummins as a Controls Project Leader, where he worked on electronic control systems and on-board diagnostic systems for engines for light, medium, and heavy-duty commercial vehicles. Govind holds a bachelor’s degree from RV College of Engineering, Bangalore, India in electrical and electronics engineering and a master's degree from the University of Kentucky, Lexington in electrical engineering specializing in classic control systems and power electronics.

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Building Apps in MATLAB with App Designer

Friday, October 22nd @ 11:00 am – 12:00 pm PDT

MATLAB's App Designer is an environment that makes it easy to create professional apps without needing to be a professional software developer. You can design and code your app in an interactive environment that manages your app's components, data, and behavior. Apps created in App Designer can be easily shared with MATLAB and non-MATLAB users alike.

Highlights

Introduction to App Designer
Easily adding modern, built-in components such as gauges, knobs, menus, and tabs
Organizing, resizing, and reflowing your app layout
Using object-oriented code for data, property, and callback management
Testing apps with the App Testing Framework
Sharing MATLAB apps via app packages, standalone executables, and web-based apps

About the Presenter

Reece Teramoto is an Application Engineer at MathWorks. He studied computer science and electrical engineering at the University of Portland. In 2017, he joined MathWorks and is currently a deep learning specialist supporting aerospace and defense accounts.

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Connecting to Hardware using MATLAB and Simulink

Friday, October 29th @ 11:00 am – 12:00 pm PDT

Are you prototyping complex algorithms that needs to work with hardware or run on embedded devices? Engineers often prototype and test their initial designs on embedded evaluation boards, or low cost prototyping hardware such as Arduino, Raspberry Pi, NVIDIA Jetson Nano etc. Additionally, testing these algorithms on hardware often requires working with test equipment. Sometimes, you need to design special purpose test rigs, interfacing with sensors and actuators, and controlling them in real-time, acquiring and logging test data and performing live analysis.

Join us for this seminar to learn how to connect different hardware with MATLAB and Simulink. Starting from low-cost hardware, such as Arduino and Raspberry Pi, to embedded controller and FPGA development kits, to fully customizable Speedgoat real-time target testing platform, we will demonstrate different options and methods available to you to accelerate your prototyping and testing workflows with MATLAB and Simulink.

Highlights

Early prototyping using low-cost hardware (Raspberry Pi, Arduino etc.)
Implementing and testing algorithms on embedded controller development boards from TI, NXP, STM etc.
Rapid control prototyping and hardware-in-loop testing using Speedgoat CPU + FPGA based target machines
Interfacing with test instruments and communication protocols

About the Presenter

Chirag Patel works with engineers in control system design to streamline the transition from desktop simulations to real-time testing and hardware-in-loop (HIL) testing. Prior to joining MathWorks, Chirag worked at Lucid Motors, where he led the efforts of adopting Model-Based Design for electric powertrain, developed battery management algorithms and built HIL test system for vehicle control systems. While at Cessna Aircraft Company, Chirag developed simulations for electro-hydraulics systems, built iron bird test rigs for anti-skid brake systems, and designed integrated environmental control system for business jets. Chirag holds a bachelor’s degree in mechatronics engineering from Sardar Patel University, Gujarat, and a master’s degree in control systems from Wichita State University, Kansas.

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