Saifullah Khalid

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.

Publications

New Innovations in AI, Aviation, and Air Traffic Technology
Saifullah Khalid, Neha Nazneen Siddiqui. © 2024. 430 pages.
The rapid advancement of technology, along with the increasing complexity of air traffic management present significant challenges in aviation management. As the industry...
Role of IoT Technologies in Agricultural Ecosystems
Mohan Raj C. S., A. V. Senthil Kumar, Ismail Bin Musirin, Saifullah Khalid, Rohaya Latip, Namita Mishra, Gaganpreet Kaur. © 2023. 21 pages.
Increasing demand for food quality and size has increased the need for industrialization and intensification in the agricultural sector. The internet of things (IoT) is a...
Significance of Fog Computing to Machine Learning-Enabled IoT for Smart Applications Across Industries
Mohan Raj C. S., A. V. Senthil Kumar, Meenakshi Sharma, Ibrahiem M. M. El Emary, Rohaya Latip, Saifullah Khalid, Chandrashekar D. V.. © 2023. 30 pages.
Industry 4.0 refers to the phase of transition that is taking place, enabling automation and data interchange in industrial technologies and processes. Fog computing architecture...
Applications of Artificial Intelligence in Electrical Engineering
Saifullah Khalid. © 2020. 388 pages.
Artificial intelligence is increasingly finding its way into industrial and manufacturing contexts. The prevalence of AI in industry from stock market trading to manufacturing...
A Comparative Study of Neural Network and Fuzzy Logic Control Based Active Shunt Power Filter for 400 Hz Aircraft Electric Power System
Saifullah Khalid. © 2020. 12 pages.
Constant Instantaneous Power Control Strategy for extracting reference currents for shunt active power filters have been modified using Artificial Neural Network & Fuzzy logic...
ANFIS-SCC Control of Shunt Active Power Filter for Minimization of Harmonics for More Electric Aircraft System
Saifullah Khalid, Shailendra Kumar. © 2020. 22 pages.
A growth of computational intelligence techniques is the motivation to propose an intelligent controller in this chapter to minimize the harmonics in a more electric aircraft...
Application of Fingerprint-Matching Algorithm in Smart Gun Using Touch-Less Fingerprint Recognition System
Saifullah Khalid. © 2020. 7 pages.
Fingerprint recognition systems are widely used in the field of biometrics. Many existing fingerprint sensors acquire fingerprint images as the user's fingerprint is...