Hend ALnajjar | Artificial Intelligence | Best Researcher Award

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Assoc Prof Dr. Hend ALnajjar, Artificial Intelligence, Best Researcher Award

Assoc Prof Dr. Hend ALnajjar at king Saud bin Abdulaziz for health science, Saudi Arabia

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🌟Summary

Dr. Hend Abdu Alnajjar is an accomplished Associate Professor in Pediatric Nursing at the College of Nursing–Jeddah, King Saud bin Abdulaziz University for Health Sciences. With a robust educational background including a Ph.D. in Nursing from Manchester University and extensive experience in nursing education, she specializes in maternal and child health, healthcare quality, and academic leadership.

🎓Education

  • Doctor of Philosophy in Nursing, Manchester University, UK (November 2012)
  • MSc in Advanced Nursing Studies, Manchester University, UK (November 2008)
  • Master of Medical Education, College of Medicine, King Saud bin Abdulaziz University for Health Sciences (2017-2019)
  • Bachelor of Science in Nursing, King Abdulaziz University, Jeddah, KSA (September 2000)

💼 Professional Experience

Dr. Hend Abdu Alnajjar brings a wealth of expertise as an Associate Professor in Pediatric Nursing at the College of Nursing–Jeddah, King Saud bin Abdulaziz University for Health Sciences. With a distinguished career spanning leadership roles such as Dean of the College of Nursing – Jeddah and Associate Dean of Academic & Student Affairs, she has significantly contributed to advancing nursing education and healthcare quality in Saudi Arabia. Dr. Alnajjar’s leadership extends to extensive involvement in accreditation processes, curriculum development, and quality assurance initiatives, enhancing educational standards across multiple institutions. Her commitment to maternal and child health is underscored by her clinical background in neonatal intensive care units, further enriching her academic and practical contributions to the nursing profession.

🔬 Research Interests

Dr. Hend Abdu Alnajjar’s research interests are focused on pivotal areas within nursing and healthcare. Her primary scholarly pursuits revolve around maternal and child health, where she explores innovative approaches to improve healthcare outcomes for mothers and children. Additionally, her research encompasses nursing education, aiming to enhance teaching methodologies and curriculum frameworks to foster competent nursing professionals. Dr. Alnajjar is also passionate about healthcare quality, investigating strategies to optimize patient care delivery and safety within clinical settings. Her academic leadership in these domains reflects a commitment to advancing nursing practice and education both locally and globally.

📖 Publication Top Noted

Article title: Digital proficiency: assessing knowledge, attitudes, and skills in digital transformation, health literacy, and artificial intelligence among university nursing students

    • Authors: Ebtsam Aly Abou Hashish, Hend Alnajjar
    • Journal: BMC Medical Education
    • Volume: 24
    • Pages: 508
    • Year: 2024

Article title: Perception of the accreditation of the National Commission for Academic Accreditation and assessment at different health colleges in Jeddah, Saudi Arabia

    • Authors:Ali S Al-Shareef, Mansour A AlQurashi, Azza Al Jabarti, Hend Alnajjar, Ahmad A Alanazi, Mohamed Almoamary, Bader Shirah, Khalid Alqarni
    • Journal: Cureus
    • Volume: 15
    • Year: 2023

Article title: Managerial power bases and its relationship to influence tactics and conflict management styles: Bedside nurses’ perspective

    • Authors: Ebtsam Abou Hashish, Hend Alnajjar, Arwa Al Saddon
    • Journal: Worldviews on Evidence‐Based Nursing
    • Volume: 20
    • Issue: 5
    • Year: 2023

Article title: Exploring the relationship between leadership and conflict management styles among nursing students

    • Authors: Hend Alnajjar, Ebtsam Abou Hashish
    • Journal: Nursing management
    • Volume: 29
    • Issue: 3
    • Year: 2022

Article title: Academic ethical awareness and moral sensitivity of undergraduate nursing students: assessment and influencing factors

    • Authors: Hend Abdu Alnajjar, PhD, Ebtsam Aly Abou Hashish, PhD
    • Journal: SAGE open nursing
    • Volume: 7
    • Year: 2021

 

Shymon Islam | Natural Language Processing | Best Researcher Award

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Mr. Md. Shymon Islam,Natural Language Processing,  Best Researcher Award

 Shymon Islam at North Western University, Khulna Bangladesh

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Summary:

Mr. Md. Shymon Islam is a dedicated professional with a Master of Science in Engineering in Computer Science and Engineering (CSE) from Khulna University, Bangladesh. With a keen interest in education and research, he aspires to contribute significantly to the advancement of Computer Science and Engineering. His expertise lies in Machine Learning, Data Mining, Image Processing, and Artificial Intelligence.

👩‍🎓Education:

Mr. Md. Shymon Islam holds a Master of Science in Engineering in Computer Science and Engineering (CSE) from Khulna University, Bangladesh, achieved with a remarkable CGPA of 4.00, earning the distinction. He previously obtained his Bachelor of Science in Engineering in CSE from the same institution, graduating with a notable CGPA of 3.90, also with distinction. His academic journey reflects his dedication to excellence and his passion for advancing in the field of Computer Science and Engineering.

Professional Experience:

With three years of experience as both a research scholar and faculty member at Khulna University, Md. Shymon Islam has demonstrated his dedication to academia and research. His role has involved not only teaching but also actively contributing to the body of knowledge in Computer Science and Engineering. He has published multiple research papers in prestigious journals and conferences, focusing on areas such as sentiment analysis, optimization algorithms, and document classification. His tenure showcases his commitment to advancing the field through rigorous academic inquiry and practical application.

Research Interest :

Mr. Md. Shymon Islam’s research interests lie at the intersection of cutting-edge technologies in Computer Science and Engineering. He is particularly passionate about exploring areas such as Machine Learning, Data Mining, Image Processing, and Artificial Intelligence. With a keen interest in both theoretical advancements and practical applications, he seeks to contribute innovative solutions to real-world problems across these domains. His interdisciplinary approach and curiosity drive his quest for knowledge and discovery in the ever-evolving landscape of technology.

Publication Top Noted: