SarahAltowairqi | Computer Science | Best Researcher Award

Mrs. SarahAltowairqi ,The University of Newcastle ,United States

Mrs.Sarah Altowairqi is a Research Scholar at The University of Newcastle, NSW, Australia, specializing in Computer Science with a focus on Computer Vision. With 11 years of experience, she holds a Master’s degree and is currently pursuing her Ph.D. Sarah has made significant contributions to the field, including publications in reputable journals and the development of AI approaches for crowd anomaly detection. Her teaching experience at Taif University, coupled with her active research in information security and biometrics, reflects her commitment to advancing knowledge in her field. Sarah is dedicated to utilizing deep learning for anomaly detection to enhance public safety and security

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Education And Experience

Mrs.Sarah Altowairqi holds a Master’s degree and is currently pursuing her PhD at The University of Newcastle, NSW, Australia. With 11 years of experience, she has published in reputable journals and developed AI approaches for crowd anomaly detection. Sarah also has teaching experience at Taif University, where she actively contributed to research on information security and biometrics. Her dedication to deep learning for anomaly detection reflects her commitment to enhancing public safety and security.

Professional Development

Mrs.Sarah Altowairqi, a Research Scholar at The University of Newcastle, NSW, Australia, has 11 years of experience in Computer Science with a specialization in Computer Vision. She holds a Master’s degree and is currently pursuing her Ph.D. Sarah has made significant contributions to the field, publishing in reputable journals and developing AI approaches for crowd anomaly detection. Her teaching experience at Taif University showcases her commitment to education. Sarah is actively engaged in research, particularly in information security and biometrics. Her work reflects a dedication to enhancing public safety and security through innovative research in deep learning.

Research Focus

Mrs.Sarah Altowairqi’s research focuses on efficient crowd anomaly detection using sparse feature tracking and neural networks. She has authored a publication on this topic in Applied Sciences in May 2024, indicating her expertise in this area.

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