Advancing the Pace of Research with MATLAB and Simulink


The goal of this session is to showcase the tools that are available to improve the research project workflow. Researchers from universities and research institutes will join this session to share their experience on the use of MATLAB and Simulink in specific application areas like AI, Parallel Computing and Robotics.


  • Code development, and application sharing
  • Interoperability with other programming languages (e.g. Python, C/C++, Java)
  • Artificial Intelligence
  • Parallel Computing
  • Code generation and Rapid Prototyping
  • Robotics and Autonomous Systems

Who Should Attend

The event is open to researchers, PhD students, students and professors of Italian universities and research institutes, interested in advancing the pace of their research.

About the Presenter

Francesca Marini holds a PhD in bioengineering and robotics from the University of Genova and the Italian Institute of technology where she focused on using robotic devices to promote motor recovery after brain injuries. During her studies she joined the Nanyang technological university of Singapore and the Keio university of Tokyo, where she had the chance to expand her interests to the fascinating field of neuroscience. Francesca is now an Education Customer Success Engineer at MathWorks, supporting academics at Italian universities and research institutes on teaching and research with MATLAB and Simulink.

Francesca Perino is Senior Application Engineer at MathWorks. She focuses on enabling MathWorks customers to be successful in their adoption and use of MATLAB platform to solve their numerical modelling challenges with cutting-edge technology, tools and methods. She has expertise in data ingestion and processing, software design and application development in MATLAB, distributed computation, big data for enterprise-scale predictive analytics.

Gianluca Carnielli is an Application Engineer at MathWorks. He joined the company in 2019 after completing a PhD in Space Physics at Imperial College London, during which he has gained experience in numerical modelling in the context of extra-terrestrial atmospheres. By being a frequent user of MATLAB and its toolboxes since 2015, he has also developed expertise in data analysis and visualization through graphical user interfaces. At MathWorks, Gianluca focuses on the MATLAB platform and its applications in the areas of predictive maintenance and artificial intelligence.

Giuseppe Ridinò earned a M.S. degree in Electronics Engineering from the Polytechnic of Turin in 1997. He has worked many years as consultant and software engineer, gaining experiences in a broad range of industries and technological environments, mainly about modelling and simulations using MATLAB® and Simulink®. In 2014 he joined MathWorks, and now is Senior Application Engineer with a focus on signal and image processing, communication systems, computer vision, autonomous systems, and C/C++ and HDL code generation.

Stefano Olivieri received a master’s degree in Electrical Engineering at University of Bologna, Italy, in July 1995, and got a Post Graduate Advanced Degree in Information Technology at CEFRIEL, Polytechnic of Milan the same year.
He’s been with MathWorks since 2005. After spending eight years as a Senior Application Engineer in the field of Signal Processing and Communication Systems, Stefano is currently working in the Academia team to help the top universities with the adoption of MathWorks tools for effective teaching and research. Before that, he worked with R&D labs in STMicroelectronics and Philips Research, where he dealt with the design and development of wireless communication and video processing systems. Stefano has also been Contract Professor with the University of Milano for three years, where he was teaching Transmission Theory for the Telecommunication Software Engineering Bachelor Degree.



Time Title

11:30 – 13:00

In this first technical session, we will see an overview of the most relevant tools and methods to advance research:

  • Code development and sharing
  • App/GUI development and platform on which you can upload your code
  • Code Interoperability with other programming languages (Python Java, C/C++, ecc.)

13:00 – 14:30


14:30 – 16:00

In this second technical session, we will have three panel discussions on

  • Artificial intelligence
  • Speed up MATLAB code: parallel and cloud computing
  • Rapid prototyping, code generation and robotics

Product Focus

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