Assist Prof Dr. Sufian-Badawi-Machine Learning-Best Researcher Award
Applied Sciences University-Jordan
Author Profile
Early Academic Pursuits
Assist Prof Dr. Sufian AbdulQader Badawi's academic journey is marked by a relentless pursuit of knowledge and expertise in the fields of Artificial Intelligence, Data Science, IT Governance, and Enterprise Architecture. His educational background encompasses a diverse range of disciplines, providing him with a solid foundation to excel in his professional endeavors. With a keen interest in emerging technologies and their applications in solving complex problems, Dr. Badawi embarked on a journey of academic exploration that would ultimately shape his illustrious career.
Professional Endeavors
Assist Prof Dr. Sufian AbdulQader Badawi's professional journey is characterized by a rich tapestry of experiences across various industries and sectors. From his early roles as a Senior Programmer/Analyst at Abu Dhabi Municipality to his tenure as a Project Manager at Roads and Transport Authority, Dubai UAE, he has demonstrated exceptional leadership and strategic vision in driving organizational success. His tenure at Prime Technology Systems as a Senior System Analyst further solidified his expertise in solution architecture, enabling him to leverage cutting-edge technologies such as Machine Learning and Data Science to enhance business processes.
Contributions and Research Focus
Assist Prof Dr. Sufian AbdulQader Badawi's research interests lie at the intersection of AI, Machine Learning, Deep Learning, Advanced Image Processing, Stereo Imaging, Time Series Forecasting, and Fraud Management. His published research papers in retinal image analysis and time series fraud detection underscore his commitment to advancing the frontiers of knowledge and driving innovation in his field. Through his research endeavors, Dr. Badawi seeks to develop novel algorithms and methodologies that have practical applications in addressing real-world challenges, thereby making a meaningful impact on society.
Accolades and Recognition
Assist Prof Dr. Sufian AbdulQader Badawi's contributions to the field of Artificial Intelligence and Data Science have earned him recognition and accolades from peers and industry experts alike. His published research papers in reputable journals and conferences attest to the quality and significance of his work. Additionally, his role as a Visiting Post-Doctoral Researcher at the American University of Ras Al Khaimah underscores his standing as a respected authority in his field and highlights his dedication to furthering scientific inquiry and knowledge dissemination.
Impact and Influence
Assist Prof Dr. Sufian AbdulQader Badawi's impact extends beyond the confines of academia, as evidenced by his significant contributions to industry and society. His innovative solutions in areas such as diagnosing diseases from medical images using AI and deep learning have the potential to revolutionize healthcare delivery and improve patient outcomes. Furthermore, his expertise in IT governance and enterprise architecture has helped organizations navigate complex technological landscapes and achieve strategic objectives. Dr. Badawi's leadership and expertise have left an indelible mark on the organizations he has served, inspiring others to strive for excellence and innovation.
In the realm of machine learning, Sufian Badawi emerges as a beacon of excellence and innovation.
Legacy and Future Contributions
As Assist Prof Dr. Sufian AbdulQader Badawi's continues his academic and professional journey, his legacy is defined by his unwavering commitment to excellence, innovation, and societal impact. Through his research, teaching, and leadership roles, he seeks to empower future generations of scholars and professionals to harness the power of technology for the greater good. Dr. Badawi's vision for the future is one of collaboration, interdisciplinary inquiry, and transformative change, where AI and data science serve as catalysts for positive societal transformation. His legacy will endure as a testament to his passion for knowledge, his dedication to excellence, and his unwavering belief in the power of technology to shape a better world.
Citations
- Citations 119
- h-index 6
- i10-index 4
Notable Publication
- Detection and grading of hypertensive retinopathy using vessels tortuosity and arteriovenous ratio
- Enhancing Vessel Segment Extraction in Retinal Fundus Images Using Retinal Image Analysis and Six Sigma Process Capability Index
- A novel two‐stage method to detect non‐technical losses in smart grids
- Four severity levels for grading the tortuosity of a retinal fundus image
- A novel Time-Series transformation and Machine-Learning-Based method for NTL fraud detection in utility companies