New Innovations in AI, Aviation, and Air Traffic Technology

New Innovations in AI, Aviation, and Air Traffic Technology

Saifullah Khalid, Neha Nazneen Siddiqui
Projected Release Date: May, 2024|Copyright: © 2024 |Pages: 430
DOI: 10.4018/979-8-3693-1954-3
ISBN13: 9798369319543|ISBN13 Softcover: 9798369350195|EISBN13: 9798369319550
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Description & Coverage
Description:

The rapid advancement of technology, along with the increasing complexity of air traffic management present significant challenges in aviation management. As the industry continues to evolve, aviation professionals must stay updated with the latest advancements to ensure safe and efficient operations. However, accessing comprehensive and up-to-date resources can be difficult, leading to a knowledge gap that hinders the industry's progress.

New Innovations in AI, Aviation, and Air Traffic Technology offers a solution to the challenges faced by aviation management professionals by providing a comprehensive overview of futuristic research trends in aviation management. Through case studies, simulations, and experimental results, we offer readers a detailed exploration of the latest trends in air traffic management, uncrewed aerial vehicles (UAVs), electric vehicles, and more. By providing a bridge between theory and practice, this book equips aviation professionals with the knowledge and tools needed to navigate and contribute to the rapidly evolving aviation industry.

New Innovations in AI, Aviation, and Air Traffic Technology provides a resource that informs and inspires innovation in aviation management. By highlighting key topics such as sustainable energy, image processing, and computer vision, this book will stimulate new ideas and approaches to aviation management. Seasoned aviation professionals and students aspiring to join the industry will find this book to be an invaluable guide to understanding and leveraging the latest trends in aviation management.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Air Traffic Technology
  • Artificial Intelligence
  • Aviation
  • Big Data
  • Biomedical Engineering
  • Computer Vision
  • Deep Learning
  • Economic Dependency of Employees in the Aviation Sector
  • Employee Loyalty in the Aviation Sector
  • Employee Motivation in the Aviation Sector
  • Employee Retention in the Aviation Sector
  • Image Processing
  • Machine Learning
  • Optimization Algorithms
  • Sustainable Energy
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Editor/Author Biographies

Dr. Saifullah Khalid is a distinguished figure in the realms of Electrical Engineering and Aviation, currently serving as a Visiting Researcher at Nanyang Technological University, Singapore, and as a Senior Manager (ATM) at the Civil Aviation Research Organization in India. His educational journey includes a Doctorate of Philosophy in Electrical Engineering and Electronics & Communication Engineering from the Institute of Engineering & Technology, Lucknow, India, alongside a Master of Technology in Electrical Engineering from MMM Engineering College, India, and a Bachelor of Engineering in Electronics & Telecommunication Engineering from S.E.S. College of Engineering, India.

With a career spanning over two decades, Dr. Khalid has demonstrated expertise in a diverse range of fields. His roles have varied from a Senior Manager (ATM) at several international airports in India to an academician, where he served as an Assistant Professor and Lecturer at various engineering colleges. His research interests and areas of expertise include the development of control optimization algorithms, machine learning, sustainable energy innovation, and a strong proficiency in programming languages such as Python, C++, MATLAB, and P-Spice, as well as skills in technical and patent writing, and project management.

Dr. Khalid's exceptional contributions to his fields of study have earned him numerous accolades, including the Excellence in Innovation at International Research Awards in 2023, the Best Researcher Award at various international platforms from 2020 to 2023, the Outstanding Scientist Award in 2020 and 2021, and the Best Paper Award at the National Conference on Technological Revolution in Electrical Engineering in 2014. He also received special recognition for his handling of the crash of Air India Express 812 in 2010. A prolific author and inventor, Dr. Khalid has published over 128 journal articles and conference papers, primarily focusing on Electrical Engineering and Aviation. He holds 11 patents in ground-breaking technologies such as AI-enhanced fault detection systems, wind 2 energy harvesters, and intelligent health monitoring systems. Additionally, he has authored and edited several books, offering insights into AI applications in aviation and electrical engineering.

Dr. Saifullah Khalid's career is a testament to his dedication to bridging the gap between academic research and practical industry applications. His work has significantly contributed to advancements in technology, particularly in the crucial sectors of Electrical Engineering and Aviation, making him a valuable asset to both the academic and professional world.

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