program

Certificate in Application of Emerging Cyber Technologies to Aerospace

Signal your interest

The Canadian aviation industry needs people like you.

Are you up to the challenge?

Once you finish this 15-week program, you will be. Created in tandem with industry professionals and the Concordia Institute of Aerospace Design and Innovation (CIADI), this program offers a unique opportunity to learn about the latest disruptive technologies in the aviation sector. You'll learn how AI is shifting the aerospace industry and how to acquire data without bias to enable the implementation of AI. You'll also acquire a new understanding of the various concepts, techniques, and examples of cybersecurity and learn to apply them in various contexts of avionic operations. In short, you'll get the training you need to keep pace with the ever-evolving aerospace industry and achieve new heights in your career.

Prerequisites: A CEGEP-level understanding of engineering, calculus and basic programming is preferred but not required.

Upcoming date(s)

There are no upcoming dates at this time.

Your takeaways

Aerospace application of Artificial Intelligence;
Aerospace application of cybersecurity;
Big Data in aviation;
Exploration into the ever-changing ethical implications of AI;
Engineering tools like Python;
Engineering tools like data-processing algorithms.

Program details

This certificate program features three modules exploring vital industry topics:

Aerospace applications of Artificial Intelligence;
Aerospace cybersecurity;
Big Data in the aerospace.

Our approach

Featuring a mix of synchronous and asynchronous online activities and hands-on learning, this program is led by seasoned industry professionals who’ll guide you through four distinct modules. Over the course of 15 weeks, you will spend five to six hours per week participating in Zoom meetings, asynchronous Moodle lectures, and knowledge checks.

Upon successful completion of the training, you’ll receive a certificate, giving you a distinctively competitive edge in the aerospace job market.

Who benefits most?

Engineers working in the aerospace sector.
Aerospace professionals who want to broaden their horizons by upskilling.
Professionals in transition who want to enter the aerospace sector and participate in a pivotal era in the aviation industry.
Recent graduates looking to capture a highly sought-after positions in the aerospace sector.
Organizations looking to gain a competitive edge by equipping their employees with skills that disrupt the industry.
Companies looking to address the skills gap within their company and keep pace with the shifting aerospace industry.

Meet your instructors

Matin Komeili

Matin Komeili obtained his Ph.D. in the Mechanical Department from Concordia University, specializing in computational fluid dynamics. His research involved developing parallel code to simulate wind turbines on supercomputers, showcasing his proficiency in handling large-scale computational tasks. This expertise seamlessly translates into his current focus on big data in aviation. 

As a co-founder of WindArea, Dr. Komeili co-led a successful consulting company that provided crucial insights and wind impact studies for engineering firms and wind farms. This experience solidified his understanding of the importance of data-driven decision-making, particularly in the renewable energy sector. Dr. Komeili's ability to harness and interpret data to optimize wind energy projects further highlights his competence in working with large datasets. 

Since 2018, Matin has been an integral part of Pratt and Whitney Canada, a prominent aerospace manufacturer. His role primarily revolves around dealing with substantial amounts of aircraft engine data, ensuring the delivery of safe engines to original equipment manufacturers. Matin's expertise in handling complex datasets and extracting valuable insights plays a vital role in enhancing engine efficiency, contributing to the advancement of the aviation industry. 

Now, as a lecturer, Dr. Komeili brings his extensive industry experience and academic background to the forefront of his teachings. His lecture on big data in aviation and air mobility combines theoretical knowledge with real-world applications, giving students a comprehensive understanding of how data analytics transforms the aerospace sector. With a focus on the utilization of big data to drive decision-making, optimize operations, and enhance safety, he engages students with practical examples and case studies from the aviation industry.

Caroline Pernelle

Caroline Pernelle is a consultant and speaker. She works on multiple projects around the integration and acceptability of AI. She is also a mentor for Techstars AI and FounderFuel.

After 10 years of consulting for Dassault Systèmes, Pernelle joined the IVADO team in 2017 and, as Director of Industry-Research Partnerships, she helped many companies highlight their data and position their human potential in the foreground while connecting with the innovative world of research.

In October 2018, she worked for Montréal International to facilitate the creation of a worldwide organization, CEIMIA, in partnership with the OECD and the G7 countries, whose role is to define a normative framework for artificial intelligence projects based on the ethical principles of the Montreal Declaration for Responsible Development of AI.

After having been Strategy and Innovation Director for Larochelle Groupe Conseil, she now works as an Artificial Intelligence Strategist and Product Owner for Digital Solutions for CAE Healthcare.

Pernelle teaches AI at the University of Montreal, Université de Sherbrooke and Concordia University (CCE). She has been nominated in 2018 and 2019 in the top 30 Influential Women Advancing AI in Montreal by RE-Work.

Jun Yan

Dr. Jun Yan is an Associate Professor at the Concordia Institute for Information Systems Engineering at Concordia University, Montreal, Canada. He is a founding member of Concordia’s Security Research Centre (SRC) and the Applied AI Institute (AI2). He specializes in cybersecurity and computational intelligence for operational technologies and digital transformation of energy, transportation, cities, and other critical infrastructures.

He joined Concordia University in Winter 2018 after receiving his Ph.D. in Electrical Engineering (with Excellence in Doctoral Research) from the University of Rhode Island, USA and was promoted to Associate Professor in Summer 2022. Dr. Yan offers courses on cybersecurity of industrial control systems and artificial intelligence to graduate students and supervises undergraduate, graduate, and postdoctoral researchers in related areas.

Dr. Yan has authored/co-authored over 100 peer-reviewed research articles and won best paper awards from conferences like IEEE ICC and IEEE WCCI.

FAQs

Students will learn about the latest disruptive technologies in the aviation sector while exploring the concepts of aerospace applications of AI, cybersecurity and big data.

In short, students will acquire the knowledge and skills they need to keep pace with the ever-evolving aerospace industry and achieve new heights in their career.

This certificate covers three distinct modules:

Aerospace applications of Artificial Intelligence;
Aerospace cybersecurity;
Big Data in the aerospace.

Over the course of 15 weeks, you will spend five to six hours per week participating in Zoom meetings, asynchronous Moodle lectures, and knowledge checks. Those with little to no prior knowledge will require more time to gain familiarity with the concepts.

Asynchronous learning: Asynchronous learning is all the other activities in an online course that students can complete on their own schedule.

Synchronous learning: Synchronous learning is any activity in an online course that happens in real-time, like a Zoom meeting or a chat.

Students should expect to dedicate approximately four to five hours a week to projects and assignments outside of the live sessions. Those with little to no prior knowledge will require more time to gain familiarity with the concepts.

This program is intended for aerospace engineers, however anyone is welcome to apply. A CEGEP-level understanding of engineering, calculus and basic programming is preferred but not required.

These programs fulfill the OIQ (Ordre des ingénieurs du Québec) requirement for engineers to complete a minimum of 30 hours of continuing education every two years.

Please email us at cce@concordia.ca. Our Service Staff will be happy to assist you.

Yes. Upon successfully finishing this 15-week program, you will receive a certificate of completion.

In partnership with:

Gina Cody School of Engineering and Computer Science