Iyad Alomar | Aerospace Engineering | Aerospace Engineering Award

Prof. Iyad Alomar | Aerospace Engineering | Aerospace Engineering Award

Aviation Engineering Program director, Transport and Telecommunication Institute, Latvia.

Dr. Iyad Alomar is a Syrian-born aerospace engineer and academic based in Riga, Latvia. He holds a Ph.D. in Engineering Sciences from the Transport and Telecommunication Institute (TTI), Riga, and an MSc in Aircraft Technical Maintenance from Riga Aviation University. Dr. Alomar has contributed significantly to the field of aviation engineering through his extensive research and publications. He is a member of the editorial board for the journal Aviation and serves on the scientific committee for the 13th International Conference on Transportation Science and Technology (TRANSBALTICA 2022). His work focuses on optimizing aircraft maintenance processes, enhancing operational efficiency, and integrating digital technologies in aviation. Dr. Alomar is also an active member of the International Advisory Board for the ICAA’21 conference on aeronautics and astronautics.

Profiles

🎓 Education

Dr. Iyad Alomar’s academic journey is marked by a strong foundation in aerospace engineering. He completed his Master of Science in Aircraft Technical Maintenance at Riga Aviation University in 1996. Building upon this, he pursued advanced studies at the Transport and Telecommunication Institute in Riga, where he earned his Doctor of Science in Engineering (Dr.Sc.Eng) in 2019. His doctoral research focused on optimizing aircraft maintenance processes and integrating digital technologies to enhance operational efficiency in the aviation industry. Throughout his academic career, Dr. Alomar has been committed to advancing knowledge in aerospace engineering, contributing to various international conferences and journals. His educational background has equipped him with the expertise to address complex challenges in aviation maintenance and operations.

💼 Experience

Dr. Iyad Alomar has a distinguished career in aerospace engineering, combining academic research with practical applications in the aviation industry. He is currently a faculty member at the Transport and Telecommunication Institute in Riga, Latvia, where he teaches and conducts research in aviation engineering. In addition to his academic role, Dr. Alomar serves on the editorial board of the journal Aviation and is a member of the scientific committee for the 13th International Conference on Transportation Science and Technology (TRANSBALTICA 2022). He is also an active member of the International Advisory Board for the ICAA’21 conference on aeronautics and astronautics. Dr. Alomar’s professional activities reflect his dedication to advancing the field of aerospace engineering through collaboration, research, and education.

🔬 Research Focus

Dr. Iyad Alomar’s research focuses on optimizing aircraft maintenance processes, enhancing operational efficiency, and integrating digital technologies in aviation. His work aims to reduce aircraft downtime and improve the overall performance of airline operations. Notable publications include studies on the optimization of aircraft on-ground (AOG) processes and the integration of artificial intelligence in airline operation control centers. Dr. Alomar has also contributed to research on fatigue management methodologies for flight crews and the impact of unpredictable major events on the aviation industry. His interdisciplinary approach combines engineering principles with digital technologies to address complex challenges in the aviation sector. Through his research, Dr. Alomar seeks to contribute to the development of more efficient and resilient aviation systems.

📚Publication Top Notes

  1. “Improvement of Fatigue Management Methodology Related to Flight Crew”
    Published: September 20, 2024, in Aviation
    DOI: 10.3846/aviation.2024.22146
    Summary: This study explores methodologies to enhance fatigue management among flight crews, aiming to improve their well-being and overall aviation safety.

  2. “Investigation of Performance Improvement of Gas Turbine Engine by Optimized Design of Blade Turbine Cooling Channels”
    Published: 2024
    Summary: This doctoral research focuses on optimizing the design of cooling channels within turbine blades to improve the performance of gas turbine engines.

  3. “Modelling and Simulation of the Riga International Airport to Reduce Turnaround Times of Crucial Clearance Processes”
    Published: January 24, 2018, in Reliability and Statistics in Transportation and Communication
    DOI: 10.1007/978-3-319-74454-4_51
    Summary: This paper presents a simulation model aimed at reducing turnaround times for critical clearance processes at Riga International Airport.

  4. “Analysis of Riga International Airport Flight Delays”
    Published: January 24, 2018, in Reliability and Statistics in Transportation and Communication
    DOI: 10.1007/978-3-319-74454-4_50
    Summary: This study analyzes flight delays at Riga International Airport, identifying factors contributing to delays and suggesting improvements.

  5. “Simulation of Ground Vehicles Movement on the Aerodrome”
    Published: 2017, in Procedia Engineering
    DOI: 10.1016/j.proeng.2017.01.061
    Summary: This paper develops a simulation model to study the movement of ground vehicles on aerodromes, aiming to improve operational efficiency.

  6. “Vibroacoustic Soundproofing for Helicopter Interior”
    Published: 2023, in Aviation
    Summary: This study investigates methods for reducing vibratory and acoustic noise in helicopter interiors to enhance passenger comfort.

  7. “Comparative Statistical Analysis of Airport Flight Delays for the Period 2019–2020. Almaty International Airport Case Study”
    Published: 2022
    Summary: This research analyzes flight delays at Almaty International Airport, identifying contributing factors and proposing strategies to minimize delays.

Conclusion

Iyad Alomar presents a solid background in aviation and aerospace through education, international academic involvement, and advisory roles. These are valuable indicators of expertise and standing in the field. However, to be a strong contender for a Research in Aerospace Engineering Award, more emphasis should be placed

Omar Soufi | Aerospace Engineering Award | Best Researcher Award

Dr Omar Soufi | Aerospace Engineering Award | Best Researcher Award

Dr Omar Soufi ,EMI, Morocco

Dr. Omar Soufi is a Doctor of Computer Engineering specializing in Artificial Intelligence, with a focus on Data Science, Spatial Remote Sensing, and Geographic Information Systems (GIS). He has a diverse background in developing deep learning models for satellite image super-resolution and extensive experience in designing and implementing platforms for data management and spatial analysis. Dr. Soufi’s career spans roles in project management, team leadership, and departmental oversight in business intelligence and decision-making tools. He is currently engaged in pioneering AI initiatives, leveraging his expertise to advance technology applications in satellite imagery and spatial data analytics.

Publication Profile

Orcid

Education

Dr. Omar Soufi holds a Doctorate in Computer Engineering specializing in Artificial Intelligence. He completed his doctoral research focusing on deep learning techniques for enhancing the resolution of satellite images. His academic journey includes extensive coursework and projects in Data Science, Big Data architecture, and the development of educational and data visualization platforms. Dr. Soufi’s educational background equips him with a robust skill set in programming languages, frameworks, and technologies essential for innovative AI and GIS applications.

Experience

Dr. Omar Soufi has accumulated a wealth of professional experience in the field of Computer Engineering, particularly in Artificial Intelligence and Geographic Information Systems (GIS). His career began with roles in project management and team leadership within the IT sector, progressively advancing to oversee business intelligence and decision-making tools. Dr. Soufi has contributed significantly to national-level projects, including platforms for disaster risk management, vehicle fleet monitoring, and real estate asset management. His expertise extends to designing and implementing specialized applications in spatial analysis and environmental monitoring, utilizing cutting-edge technologies to tackle complex data challenges.

Research focus

Dr. Omar Soufi’s research focuses on the application of Artificial Intelligence and deep learning techniques in satellite imagery and spatial data analysis. His work centers on developing innovative methods for enhancing the resolution of satellite images using deep learning models. Dr. Soufi is particularly interested in the intersection of Data Science and Geographic Information Systems (GIS), aiming to advance capabilities in spatial remote sensing and environmental monitoring. His research contributions include publications on image super-resolution, spatial data processing, and the development of AI-driven applications for geographical information systems. Dr. Soufi continues to explore new avenues for leveraging AI to address challenges in spatial data analysis and environmental science.

Publication Top Notes

An intelligent deep learning approach to spacecraft attitude control: the case of satellites”

“Enhancing Accessibility to High-Resolution Satellite Imagery: A Novel Deep Learning-Based Super-Resolution Approach”

“Deep learning technique for image satellite processing”

“Analysis and Processing of Spatial Remote Sensing Multispectral Imagery using Deep Learning Techniques”

“Study of Deep Learning-based models for Single Image Super-Resolution”

“Benchmark of deep learning models for single image super-resolution (SISR)”