SEMINAR

Seminar on the Implementation of Artificial Intelligence in Aviation.

Description of the program and professional competencies acquired

The Seminar on the Implementation of Artificial Intelligence in Aviation aims to prioritize the well-being of practitioners while providing significant benefits to the organizations involved. The aviation industry can achieve greater efficiency, safety, and overall operational excellence by utilizing AI technologies and setting new standards for maintenance practices in the ever-changing aviation landscape.

Enhanced Maintenance Efficiency: Artificial intelligence (AI) can significantly enhance the maintenance processes in aviation. AI can streamline the workflow by automating routine tasks, predicting maintenance requirements, and detecting faults. Machine learning algorithms can analyze large volumes of data collected from aircraft sensors and past maintenance records to predict potential issues before they lead to critical failures. This proactive approach helps reduce downtime and operational costs and improves the overall efficiency of maintenance operations.
Safety Improvement: Safety is paramount in the aviation industry, and artificial intelligence (AI) is vital in improving safety measures. AI-powered systems can monitor and analyze aircraft systems continuously in real time, providing early warnings for potential safety hazards. This proactive monitoring helps prevent accidents and ensures that aircraft are in optimal condition for each flight, ultimately increasing the safety of both passengers and crew.
Optimized Resource Allocation: Artificial Intelligence (AI) can analyze historical data and predict future maintenance needs, helping organizations optimize their resource allocation. This allows them to prioritize maintenance tasks based on actual needs rather than scheduled routines, resulting in more efficient resource allocation and cost savings. Additionally, it helps improve the utilization of human resources.
Human-Centric Assistance: AI technology in aviation is not meant to replace human roles but to supplement and enhance human capabilities. AI systems can provide technicians with real-time information, step-by-step guidance for complex tasks, and troubleshooting assistance. This approach places humans at the center and allows them to focus on critical and complicated aspects of maintenance while AI automates repetitive and data-intensive tasks.
Training and Skill Enhancement: AI technologies have numerous applications in the aviation industry, especially in training personnel responsible for maintenance. These technologies can create realistic simulations and scenarios that allow practitioners to improve their skills in a controlled and safe environment. Doing so makes them better equipped to handle diverse and challenging situations during actual maintenance operations.
Data-Driven Decision Making: The use of AI allows organizations to make data-driven decisions by analyzing large amounts of data. This approach helps organizations gain valuable insights into operations, maintenance trends, and overall performance. Organizations can optimize their strategies and continually improve their maintenance practices by making informed decisions.

Coordinators of the seminar

William Aranda 300x300 - Seminar on the Implementation of Artificial Intelligence in Aviation

William Aranda, PhD

More than 40 years of experience in the aviation industry, in the fields of Management, Aviation Training, Aviation English, Train the Trainer, Course Development, Business Administration, Leadership, Long-life Learning, Higher Education and Academic and Scientific Research. Mr. Aranda holds a PhD degree in Administrative Sciences, and he has participated as Speaker at various countries of America, Europe, Asia and Africa. He is a Professor at various universities in Peru, in subjects related to Ethics, Research, Human Resources and Business Administration. He is also an ICAO Technical Cooperation Consultant, in the areas of Aviation Training and Language Proficiency. He recently participated as Editor and Translator into Spanish of the book: “Implementation Guide for Artificial Intelligence in Aviation”.

Dimitrios Ziakkas 200x300 - Seminar on the Implementation of Artificial Intelligence in Aviation

Dimitrios Ziakkas, PhD

With over 30 years of work experience in the aviation industry, Mr. Ziakkas holds a Bs. Degree in Aviation Science and a PhD in History and Philosophy of Science and Technology. He is a passionate human factors and AI researcher and educator. As an EAAP Human Factors Specialist and a FRAeS at the Royal Aeronautical Society, he contributes to the advancement of the aviation profession and the promotion of safety and innovation. As an Assistant Professor at Purdue University, he teaches and mentor students in the fields of human factors, aviation, and aeronautics, and conducts cutting-edge research on the impact of AI and automation on flight operations, cockpit design, and decision-making. He has multiple publications in international conferences and journals, and has acquired skills in aircraft, flights, aviation, and management. He is author of the book: “Implementation Guide for Artificial Intelligence in Aviation”.

Duration:

1 month

Format:

e-learning.

Characteristics:

Live sessions with the teachers via Zoom.
Updated and international contents.
Periodic monitoring and control: The academic department carries out a periodic monitoring of the student and prepares situation reports.
Evaluation exams. Through which the students will demonstrate what they have learned.

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