Alaa Ali S Almohanna | Information Technology | Best Researcher Award

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Dr. Alaa Ali S Almohanna | Information Technology | Best Researcher Award

Dr at University of Wollongong, Australia

Alaa Almohanna is an early-career researcher with a PhD in Computing and Information Technology from the University of Wollongong, Australia. His expertise lies in Artificial Intelligence (AI), persuasive technology, and health informatics. Alaa is passionate about using AI to improve healthcare outcomes and mitigate bias in big data. As a researcher and teacher, he contributes to projects that promote equity in healthcare AI and fosters innovation in tech-driven healthcare solutions. He is committed to advancing knowledge and creating practical solutions to complex healthcare challenges.

Profile

Scopus

Orcid

Scholar

šŸŽ“ Education

Alaa holds a PhD in Computing and Information Technology (2024) from the University of Wollongong, Australia, where he also completed his MSc in Computer Science, Software Engineering (2015). He earned his Bachelor’s in Computer Science and Engineering (2008) from Taibah University, Saudi Arabia. Alaa’s academic journey reflects a strong foundation in computing, software engineering, and health-related technologies, preparing him for impactful research in the field of AI and health informatics.

šŸ’¼ Experience

Alaa has worked as an Associate Researcher and Research Assistant at the University of Wollongong, contributing to projects focused on AI in healthcare. He has also been a part-time teaching staff member, developing innovative content and fostering inclusive learning environments. His research has involved operationalizing diversity in healthcare datasets and creating health-tech policy recommendations. He has worked on AI-related healthcare projects for the Australian Commission on Safety and Quality in Health Care, significantly impacting health governance.

šŸ† Awards and Honors

Alaa received the Best Paper Award at the 18th International Conference on Persuasive Technology (PERSUASIVE 2023) for his exceptional research in persuasive technology. He also earned High Distinction in research training skills subjects and received recognition for his research contributions to AI in healthcare. Alaa’s dedication to advancing the field of health informatics and AI has been acknowledged by peers and institutions alike, further highlighting his commitment to academic excellence and research innovation.

šŸ”¬ Research Focus

Alaa’s research focuses on AI and persuasive technology, particularly in healthcare. He aims to address issues of data diversity and bias in healthcare AI systems. His studies include the development of mHealth apps to promote breastfeeding and healthcare decision-making. Alaa’s work extends to evaluating user experiences, promoting equitable AI, and contributing to healthcare policy development. His ongoing research explores how AI can improve patient outcomes while minimizing biases and ensuring fairness in healthcare delivery systems.

Conclusion

Alaa Almohanna is a highly capable and innovative researcher with a demonstrated track record of excellence in both research and teaching. His contributions to AI in healthcare, along with his recognition through prestigious awards, position him as a strong contender for the Best Researcher Award. His continued focus on operationalizing diversity and improving healthcare technologies promises to create a lasting impact on the field. With a potential for broader collaboration and further pedagogical development, Almohanna is poised for significant academic and professional growth.

šŸ“šPublicationsĀ 

  1. Effectiveness of internet-based electronic technology interventions on breastfeeding outcomes: systematic review
    • Journal: Journal of Medical Internet Research
    • Date: 2020
    • DOI: e17361
    • Authors: AA Almohanna, KT Win, S Meedya

 

  1. Design and content validation of an instrument measuring user perception of the persuasive design principles in a breastfeeding mHealth app: A modified Delphi study
    • Journal: International Journal of Medical Informatics
    • Date: 2022
    • DOI: 104789
    • Authors: AAS Almohanna, KT Win, S Meedya, E Vlahu-Gjorgievska

 

  1. A study of womenā€™s perceptions and opinions of a persuasive breastfeeding mHealth app
    • Conference: International Conference on Persuasive Technology
    • Date: 2023
    • Pages: 142-157
    • Authors: AAS Almohanna, S Meedya, E Vlahu-Gjorgievska, KT Win

 

  1. Exploring User Experiences with a Persuasive mHealth App for Breastfeeding: An Empirical Investigation
    • Journal: International Journal of Humanā€“Computer Interaction
    • Date: 2024
    • Pages: 1-18
    • Authors: AAS Almohanna, S Meedya, E Vlahu-Gjorgievska, KT Win

 

  1. Operationalising data diversity for equitable artificial intelligence: A scoping review of health governance frameworks
    • Event: The Australasian Association of Bioethics and Health Law (AABHL) 2024 Conference
    • Date: 2024
    • Authors: AAS Almohanna, KT Win, AN Aguirre, YSJ Aquino

 

  1. Literature Review and Environmental Scan Report: AI Implementation in Hospitals: Legislation, Policy, Guidelines and Principles, and Evidence about Quality and Safety
    • Source: Australian Commission on Safety and Quality in Health Care
    • Date: 2024
    • Authors: F Magrabi, L Bates, K Brooke-Cowden, T Jayawardena, A Wang

 

  1. Exploring Persuasive System Design Features and Usersā€™ Perceptions of an mHealth Breastfeeding App: A Mixed-Method Study
    • Date: 2024
    • Author: AAS Almohanna

 

Abdulrahman Alojail |Information Systems | Best Researcher Award

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Assist. Prof. Dr. Abdulrahman Alojail |Information Systems | Best Researcher Award

Assistant Professor at King Faisal University Saudi, Arabia

Abdulrahman Alojail, from Al Ahsa, Saudi Arabia, is an academic specializing in Information Systems. With a strong focus on enhancing his skills, he leverages his academic background and professional experience to contribute effectively to both education and the industry. He is currently an Assistant Professor at King Faisal University, where he also leads the Alumni Committee. With a career spanning over a decade, Abdulrahman has consistently demonstrated a passion for education, research, and professional development. He has also worked as an Application Development Analyst at Saudi Electricity Company, showcasing his practical IT expertise.

Profile

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šŸŽ“ Education

Abdulrahman completed his Bachelor of Computer Information Systems at King Faisal University, Saudi Arabia (2010). He later earned a Master of Science in Information Systems from Central Michigan University, USA (2016). Furthering his academic journey, he obtained a PhD in Business Information Systems from RMIT University, Australia (2023). His educational background reflects a deep commitment to mastering IT and business systems, positioning him as an expert in the field.

šŸ’¼ Experience

Abdulrahmanā€™s professional experience spans academia and industry. He served as a Lecturer at King Faisal University from 2011 to 2023, where he taught undergraduate courses in Information Systems and contributed to curriculum development. Since 2023, he has been an Assistant Professor, focusing on alumni relations and creating opportunities for graduates. Prior to his academic career, he worked as an Application Development Analyst at Saudi Electricity Company (2010-2011), where he was responsible for developing and optimizing database applications and maintaining server structures.

šŸ† Awards and Honors

Abdulrahman has received numerous accolades, including Ethical Leadership and Money Management Certificates from Central Michigan University (2015). He also completed a Project Management course (2019) in line with PMI’s PMBOK standards. His expertise in digital transformation earned him certifications in Agile Management and Digital Transformation Project Management (2022). He received recognition for his academic research with the publication of his work in the Mathematics journal, MDPI (2024).

šŸ”¬ Research Focus

Abdulrahmanā€™s research interests include the application of deep learning in enhancing sentiment classification and consistency analysis, particularly in customer reviews. His work also explores digital transformation, business information systems, and the use of data analysis tools like Python for informed decision-making. His PhD research focused on the development of innovative technologies to improve system performance and efficiency in business contexts. He is passionate about the intersection of technology and business practices, aiming to bridge gaps in both fields.

šŸ’” Skills

Abdulrahman is proficient in communication, SQL, MS Access, System Development Methodologies (DFD, ERD, Use Case), Microsoft Power BI, and Python programming. He possesses strong teamwork and collaboration skills, along with a passion for lifelong learning and public speaking. His academic experience and industry background allow him to engage effectively in both teaching and practical application of business information systems.

šŸŒŸ Conclusion

Abdulrahman Alojail is an exceptional candidate for the Best Researcher Award due to his impressive academic credentials, impactful research, and professional expertise. His ability to merge academic theory with industry practice, along with his ongoing commitment to professional development, makes him a valuable asset to the field of Information Systems. With continued growth in interdisciplinary research and emerging technologies, Alojail is poised to make significant contributions to both academia and industry in the years to come.

šŸ“šPublicationsĀ 

A Hybrid Deep Learning Approach for Enhanced Sentiment Classification and Consistency Analysis in Customer Reviews
  • Author: Dr. Abdulrahman Alojail
  • Journal: Mathematics
  • Date of Publication: December 7, 2024
  • Type: Journal article
  • Focus: The paper presents a hybrid deep learning approach aimed at improving sentiment classification and analyzing the consistency of customer reviews.
  • Contributors: Dr. Abdulrahman Alojail