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Certificate in Application of Emerging Cyber Technologies to Aerospace

Signal your interest

The aerospace industry is facing a pressing challenge: integrating AI and cybersecurity into its complex data systems. While these tools offer powerful capabilities, most engineers lack the knowledge to apply them in aviation. 

The Certificate in Application of Emerging Cyber Technologies to Aerospace, offered by the Concordia Institute of Aerospace Design and Innovation (CIADI), gives you hands-on experience applying AI and cybersecurity in real aviation projects. With these skills, you’ll be able to contribute to modern aviation projects and gain the expertise top companies seek.

There are no upcoming dates at this time.

Who should attend

  • 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.

Key takeaways

  • Apply AI and cybersecurity tools such as system optimization and predictive maintenance to aerospace challenges

  • Enhance cybersecurity to protect avionics, communications, and control systems 

  • Apply secure data practices into engineering design and workflows

  • Gain the skills to participate in emerging technology projects within your organization 

  • Acquire technical expertise to contribute to digital transformation initiatives in aerospace

Program structure

This 15-week certificate includes a weekly 1-hour live online session and about 2-3 hours of learning activities per week. You will work on assignments that reflect real engineering work, including cybersecurity assessments, AI-focused case studies, and a capstone presentation. This approach helps you master technical knowledge and communicate solutions effectively in professional contexts.

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

Our approach

Through expert guidance and practical exercises, you’ll practice applying AI and cybersecurity tools in real aviation scenarios. This approach encourages experimentation and reflection so you can contribute confidently to emerging technology projects.

Program instructors

Dr. Matin Komeili, PhD

Thermo-fluids specialist, Pratt & Whitney Canada

Caroline Pernelle

AI manager, Service Now

Dr. Jun Yan, PhD, PEng

Research chair in AI and cybersecurity, Concordia University

Meet your instructors

Matin Komeili

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

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

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.

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