Shaqra University-Saudi Arabia
Author Profile
Early Academic Pursuits
Dr. Afnan Mohammed Alhassan began her academic journey with a Bachelor's Degree in Computer Science from Shaqra University, Saudi Arabia, in 2015. Excelling in her studies, she graduated with First Class Honors, setting a solid foundation for her future academic pursuits. Eager to further her knowledge and skills, she pursued a Master of Science in Computer Science at North Carolina Agricultural and Technical State University, USA, graduating with First Class Honors in 2018. Her thirst for knowledge led her to pursue a Ph.D. in Data Mining, specializing in Knowledge Engineering, at USM, Malaysia, where she demonstrated exceptional dedication and expertise in her chosen field.
Professional Endeavors
Dr. Alhassan's professional journey is marked by her contributions as a Teaching Assistant, Lecturer, and now Assistant Professor at Shaqra University, Saudi Arabia. Her commitment to academia and passion for teaching is evident in her progression through these roles. Additionally, she actively engages in research, focusing on various areas including Machine Learning, Medical Image Processing, Computer Vision, and Pattern Recognition, among others.
Contributions and Research Focus On Surveillance Award
Dr. Alhassan's research endeavors have made significant contributions to the field of computer science, particularly in healthcare applications. Her publications span a wide range of topics, from heart disease diagnosis to brain tumor classification and Alzheimer's disease diagnosis. Her innovative approaches, such as utilizing swarm algorithms and deep learning techniques, showcase her ability to combine theoretical knowledge with practical applications to address complex challenges in medical imaging and diagnosis.
Afnan Alhassan's exceptional expertise in surveillance technology has garnered widespread recognition, culminating in the prestigious Surveillance Award. With a dedication to advancing the field, Afnan's innovative contributions have revolutionized surveillance practices, enhancing security measures across various domains.
Accolades and Recognition
Throughout her academic and professional journey, Dr. Alhassan has received numerous accolades and recognition for her outstanding achievements. These include awards for academic excellence, best Ph.D. poster and presentation awards, and recognition from esteemed institutions such as the Saudi Arabian Cultural Mission of USA and the Saudi Cultural Attaché in Kuala Lumpur. Her work has been acknowledged both locally and internationally, reflecting the high caliber of her contributions to the field.
Her groundbreaking research has led to the development of cutting-edge surveillance systems, characterized by unparalleled efficiency and reliability. Afnan's commitment to excellence and her ability to push the boundaries of technological innovation have positioned her as a leader in the field, earning her the esteemed Surveillance Award.
Impact and Influence
Dr. Alhassan's research has the potential to significantly impact the healthcare industry by enhancing diagnostic accuracy and efficiency through advanced computational techniques. Her expertise in machine learning and medical image processing positions her as a key figure in the development of innovative solutions for disease diagnosis and treatment monitoring. Her research not only advances scientific knowledge but also holds the promise of improving patient outcomes and healthcare practices.
Legacy and Future Contributions
As a prominent figure in the field of computer science, Dr. Alhassan's legacy lies in her groundbreaking research and dedication to education. Through her mentorship and academic contributions, she inspires future generations of researchers and educators to push the boundaries of knowledge and innovation. Her future contributions are anticipated to further advance the intersection of computer science and healthcare, ultimately benefiting society as a whole through improved healthcare technologies and practices.
Notable Publication