Loay Aladib | Information Sciences |Young Scientist Award

Mr. Loay Aladib | Information Sciences |Young Scientist Award

PhD Research Scholar, University of Wollongong

Loay Aladib is a PhD Research Scholar at the University of Wollongong, Australia, specializing in Software Engineering and Artificial Intelligence. With 12+ years of experience, he has led software teams to build efficient, elegant solutions across diverse platforms. His core strength lies in blending practical software design with deep technical research. Loay is currently immersed in developing advanced frameworks that integrate Runtime Verification with stream processing systems like Apache Spark. His work ensures scalable, real-time monitoring of distributed systems, driving innovations in safety-critical applications such as IoT and smart cities. Adept in various languages, frameworks, and cloud platforms, Loay exemplifies the role of a modern software architect and researcher. His commitment to excellence, adaptability, and problem-solving mindset has positioned him at the forefront of next-generation computing solutions. Loay is not only a passionate coder but also a visionary problem solver working at the intersection of code, logic, and impact.

Profile

Scholar

🎓 Education 

 Loay Aladib is currently pursuing a PhD in Software Engineering and Artificial Intelligence at the University of Wollongong, focusing on real-time distributed systems and formal verification techniques. His doctoral research bridges theoretical concepts like Linear Temporal Logic with practical big data stream frameworks. Before this, Loay earned his bachelor’s degree in computer science/software engineering, followed by a postgraduate specialization (details not provided). His academic journey is driven by a desire to enhance software system reliability through intelligent automation and scalable architecture. Loay’s education is marked by continuous learning, technical proficiency, and interdisciplinary exploration, equipping him with the skills to address complex challenges in AI and software development. His PhD candidacy reflects his commitment to research excellence, innovation, and the application of formal methods in real-world computing environments. Through rigorous academic training and practical insight, Loay has developed a unique profile combining academic depth with industry-savvy problem-solving capabilities.

💼 Experience 

 With 12+ years of robust professional experience, Loay Aladib has led software development teams across various tech sectors, delivering high-performance, scalable solutions tailored to business and user needs. His role has spanned full-stack development, system architecture, and collaborative product engineering. Loay consistently combines technical depth with strategic vision, enabling teams to innovate rapidly while maintaining code quality and performance. Beyond corporate roles, his current work as a PhD researcher involves designing AI-integrated monitoring systems for distributed data streams, showcasing a unique fusion of industry expertise with academic rigor. Loay is proficient in cloud platforms, diverse programming languages, and modern software engineering practices. He brings creativity and adaptability to every project, turning technical constraints into scalable solutions. His leadership experience includes mentoring junior developers, managing cross-functional teams, and aligning technical goals with organizational objectives. Loay thrives in dynamic, challenge-driven environments, always pushing boundaries in software reliability and intelligent system design.

🏅 Awards and Honors 

 Loay Aladib has been nominated for prestigious awards such as the Best Researcher Award and Young Scientist Award in recognition of his impactful contributions to the intersection of software engineering and artificial intelligence. While specific award wins are yet to be listed, his nomination itself speaks volumes about the originality, utility, and future relevance of his work. His real-time verification framework for Apache Spark has received positive attention from peers and professionals alike for enhancing system reliability in distributed data environments. Loay’s IEEE membership also signifies his recognition and affiliation within a global community of innovators. His work is not just academic but designed for high-impact real-world applications, particularly in areas like smart cities, IoT, and industrial automation. These contributions underscore his potential for receiving honors in innovation, research excellence, and technology leadership. With several publications and ongoing collaborations, Loay stands out as a rising star in next-gen computing research.

🔬 Research Focus 

 Loay Aladib’s research is centered on enhancing real-time reliability in distributed systems using Runtime Verification (RV) and Linear Temporal Logic (LTL). His doctoral work proposes a novel runtime framework for monitoring LTL properties in streaming environments like Apache Spark, ensuring accurate real-time detection of safety and liveness violations in complex data flows. The research bridges formal verification with practical implementation, introducing scalable and reusable LTL patterns for system developers. A key application includes real-time weather data analysis, where his model detected anomalies in temperature and wind speed conditions efficiently. Loay’s research aims to simplify the adoption of formal methods in industry by making verification tools modular, performant, and adaptable across platforms like Apache Flink and beyond. This work has high potential for applications in IoT, smart infrastructure, and mission-critical industrial monitoring. By aligning correctness with efficiency, Loay’s focus sets a new standard in stream-processing reliability and system assurance.

Conclusion

Loay Aladib is a strong and promising candidate for the Young Scientist Award, especially given his interdisciplinary expertise, real-world applicability of his research, and dedication to bridging theoretical rigor with scalable implementation. While there is scope for academic profile expansion through more citations, publications, and collaborations, his current trajectory and innovations reflect significant potential. Recognizing his work through this award would not only be a timely encouragement but also propel further impactful contributions in AI-driven software engineering and distributed systems.

Publication

Author: Aladib, L. & Lee, S.P.
Title: Pattern Detection and Design Rationale Traceability: An Integrated Approach to Software Design Quality
Year: 2018
Citations: 10

Author: Aladib, L.
Title: Case Study of Object Constraints Language (OCL) Tools
Year: 2014
Citations: 3

Author: Aladib, L., Su, G., & Yang, J.
Title: Real-Time Monitoring of LTL Properties in Distributed Stream Processing Applications
Year: 2025
Citations: 0

Author: Aladib, L.
Title: Detecting Design Pattern and Tracing Its Design Rationale
Year: 2017
Citations: 0

Author: Loay, A.
Title: Detecting Design Pattern and Tracing Its Design Rationale / Loay Aladib
Year: 2017
Citations: 0

 

Author: Aladib, L.
Title: Task Management System (TMS) for University of Malaya Research Student
Year: 2015
Citations: 0

Author: Aladib, L.
Title: Case Study of Student Registration System (SRS) Domain
Year: 2015
Citations: 0

Author: Aladib, L., Fey, C.H., Ling, S.T.C., & Thamutharam, Y.N.
Title: Case Study of Online Properties Auction System (OPAS) Domain
Year: 2014
Citations: 0

Author: Aladib, L., Ling, S.T.C., Thamutharam, Y.N., Rosli, M.N. bin, & Ridzuan, E.A.
Title: Software Requirements Specification (SRS) Web Publishing System Domain
Year: 2014
Citations: 0

Alaa Ali S Almohanna | Information Technology | Best Researcher Award

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

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🎓 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.

💼 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.

🏆 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.

🔬 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.

📚Publications 

  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 women’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 Human–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 Users’ Perceptions of an mHealth Breastfeeding App: A Mixed-Method Study
    • Date: 2024
    • Author: AAS Almohanna

 

Abdulrahman Alojail |Information Systems | Best Researcher Award

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

Orcid

🎓 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.

💼 Experience

Abdulrahman’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.

🏆 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).

🔬 Research Focus

Abdulrahman’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.

💡 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.

🌟 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.

📚Publications 

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

Abdallah Houcheimi | Agronomy | Best Researcher Award

Mr. Abdallah Houcheimi | Agronomy | Best Researcher Award

 

Mr at Abo Akademi University Finland

University instructor and researcher in information systems specializing in Data Management, E-Commerce, Knowledge Management, Business Intelligence, Supply Chain, and Operations Management. Currently pursuing a D.Sc. in Information Systems at Åbo Akademi University (ÅAU), focusing on e-commerce, decision analytics, and artificial intelligence solutions for business domains.

profile

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📚 Education

D.Sc. Information Systems (expected October 2024) Åbo Akademi University (ÅAU) – Turku, Finland, Master of Business Administration – International Business (Merit), 2015 University of Liverpool – United Kingdom, B.S. in Information Technology, 2006 Lebanese International University – Lebanon

🎓 Teaching & Professional Experience

2023 – Present Åbo Akademi University (ÅAU) Full-time doctoral researcher. 2017 – 2023 Lebanese International University Instructor and research supervisor in the MIS department. Assistant Dean (2018 – 2021) – School of Business (Reyak Campus). 2022 – 2023 MSF Bar Elias Hospital Medical Data Supervisor. 2015 – 2016 Alpha Data Abu Dhabi, UAE Managing and implementing IT projects including VDI, Applications Virtualization, and Mobility using Citrix and VMWare technologies. 2007 – 2014 Abu Dhabi Investment Authority (ADIA) Abu Dhabi, UAE Information Technology Analyst and IT Project Leader. 2006 – 2007 Exceed IT Services Company Abu Dhabi, UAE Information Technology Support Analyst

Publications Top Notes

  • Houcheimi, A., & Mezei, J. (2024). The Role of Secure Online Payments in Enabling the Development of E-Tailing. Journal of Organizational Computing and Electronic Commerce, 1–19. Link

 

  • Houcheimi, A., Mezei, J. (2024). The Role of Online Product Information in Enabling Electronic Retail/E-tailing. In: Rocha, Á., Adeli, H., Dzemyda, G., Moreira, F., Poniszewska-Marańda, A. (eds) Good Practices and New Perspectives in Information Systems and Technologies. WorldCIST 2024. Link

 

  • Houcheimi, A. (2022). The Key E-Tail Opportunities and Challenges in The Lebanese E-Commerce Market. Journal of Information System and Technology Management, 7(26), 13-31. Link

 

  • Houcheimi, A. (In Press). The role of social media networks in enabling the development of electronic retail (e-tailing). Submitted to Knowledge and Information Systems Journal.

 

Kulsoom Saima Bughio | Information System | Women Researcher Award

 Mrs. Kulsoom Saima Bughio | Information System| Women Researcher Award

 Mrs. Edith Cowan University Australia,  Australia

👩‍🔬A diligent and ambitious researcher nearing completion of a PhD in Computing and Security from the esteemed School of Science at Edith Cowan University, WA. My research endeavors focus on the intersection of Semantic modeling and reasoning applied to the Internet of Medical Things (IoMT), aiming to identify and address cyberattacks and vulnerabilities in medical devices within healthcare systems. Alongside my academic pursuits, I’ve honed my teaching skills within the field of computer science, contributing to the academic growth of students. With a robust understanding of both theoretical concepts and practical applications in computer science, I offer a unique perspective to my work and possess a penchant for thriving in challenging and dynamic environments. I am enthusiastic about collaborating with like-minded individuals and organizations to foster innovation and advancement in the field.

 

Profile

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Experience💼

Jan 2022 – Present | Casual Academic Edith Cowan University, Joondalup Campus. Jan 2024 – Present | Academic Teacher
Curtin College and University. Mar 2018 – Present | Assistant Professor University of Sindh, Pakistan. Aug 2014 – Mar 2018 | Lecturer University of Sindh, Pakistan. Jan 2013 – Jan 2016 | Visiting Faculty (Computer Science) University of Sindh Pakistan, at Thatta Campus. Apr 2012 – Aug 2014 | Teaching Assistant University of Sindh Pakistan. Dec 2015 – Jun 2019 | Focal Person (Prime Minister Nawaz Sharif Laptop Scheme) HEC: Higher Education Commission, Pakistan. Sep 2011 – Jan 2012 | Science Teacher City School, Thatta Pakistan. May 2011 – Aug 2011 | IT Trainer. GIBCE: Government Institute of Business and Commercial Education Mar 2010 – Mar 2011 | Lecturer. GGDCT: Government Girls Degree College Thatta, Sindh, Pakistan Jan 2010 – Dec 2014 | Volunteer and Supporter SHSO-Sindh Human Support Organization Sujawal, Thatta, Pakistan. Feb 2009 – June 2009 | IT Trainer BBSYDP Pakistan: Benazir Bhutto Shaheed Youth Development Program.

Education🎓

2019 – Present | PhD (Doctor of Philosophy) Edith Cowan University, Joondalup, WA 2013 – 2015 | M.Phil. (Master of Philosophy) University of Sindh, Jamshoro, Pakistan GPA: 4.0/4.0 2010 – 2011 | C.T (Certificate in Teaching) Technical College, Thatta, Sindh, Pakistan Grade: A Division 2009 – 2010 | B. Ed (Bachelor of Education) University of Sindh, Jamshoro, Pakistan GPA: 3.78/4.0 2004 – 2007 | BS (Bachelor of Computer Science (Hons)) University of Sindh, Jamshoro, Pakistan

Skills🛠️

  • Project Management
  • Written and Verbal Communication
  • Team Leadership
  • Data Management
  • Technical Documentation
  • Problem-Solving
  • Analytical Thinking
  • Time Management

Certifications 📜

Various Certifications obtained during PhD study and Casual Teaching at Edith Cowan University, including PDA Trainings, Epigium, Risk management, Ethical Management, etc., spanning from 2019 to 2023. Certificate of participation as a Presenter and Team Leader for the “WA HEALTH HACKATHAN 2022” organized by WA Data Science Innovation Hub on August 18th, 2022. Certificate of participation as a Team Leader for “ECU Open Day” organized on July 31st, 2022. Worked as a Team Leader for the TCP-ECU program held at ECU Perth along with four campuses: Joondalup, Mount Lawley, Bunbury, and Southwest from August to November 2022. Certificate of Completion for Training as a Microsoft Office Specialist by Microsoft on December 30th, 2017. Training Workshop Certificate on “Social Research Methods (SRMs)” at FESEA Library, Area Study Centre for East and South Asia, University of Sindh, Jamshoro with the collaboration of Higher Education Commission, from February 6th to 17th, 2017. Certificate of Participation for the Seminar and Training, “Achieving Excellence in Research”, organized in Hyderabad, by the collaboration of Research Gateway Society and the Australian Islamic Library, on November 5th, 2016. Certificate of Participation for the training program on “Chinese Language Course” at Chinese Corner, Digital FESEA Library, Area Study Centre, University of Sindh, Jamshoro- Pakistan, from August to September 2016. Training Workshop Certificate on “Academic Excellence” at the University of Sindh, Jamshoro, on November 26th, 2015. Training program Certificate on “Active Citizens Training of Facilitators” at the University of Sindh Pakistan, with the collaboration of the British Council and the University of Sindh, from September 4th to 18th, 2015. Certificate of Participation during the 1st International Conference on WSNs (Wireless Sensor Networks) for developing countries at Mehran EUT Jamshoro, Pakistan, from April 24th to 26th, 2013. Graduate Program Internship for a bachelor’s in education (B. Ed), at County Cambridge High School Hyderabad from April 27th, 2010, to May 28th, 2010. Certificate of Training on “Web Developer” under the project titled Benazir Shaheed Youth Development Program at AIMS from February 1st, 2009, to May 31st, 2009. OCA (Oracle Certified Associate) from APTECH, Karachi, Pakistan, in 2007, with a score of 96%.

Awards and Recognition 🏆

2024: School of Science Research Scholarship, $22,600. 2023-2024: School of Science HDR Tuition Fee Scholarship, $20,000. 2023: Nominated for Graduate Women in WA (GWWA) Centenary Dinner. 2022: Nominated for Judging Committee for School of Science Symposium. 2019-2024: School of Science HDR Research Funding for Travel and Publication, $4,500. 2019-2023: ECU-HEC Scholarship (Edith Cowan University-Higher Education Commission Pakistan), Fully Funded Scholarship for PhD Studies.

Publications Top Notes 📝

  • Knowledge organization systems to support cyber-resilience in medical smart home environments
    • Authors: KS Bughio, LF Sikos
    • Book: Cybersecurity for Smart Cities: Practices and Challenges
    • Year: 2023
    • Pages: 61-69

 

  • An interactive system for visualization of cultural heritage objects of Sindh in a web-based environment
    • Authors: KS Unar, AM Unar, Z Patoli
    • Conference: 2016 Sixth International Conference on Innovative Computing Technology
    • Year: 2016

 

  • Knowledge organization system for partial automation to improve the security posture of IoMT networks
    • Author: KS Bughio
    • Journal: Procedia Computer Science
    • Year: 2023
    • Volume: 225
    • Pages: 3471-3478

 

  • Developing a Novel Ontology for Cybersecurity in Internet of Medical Things-Enabled Remote Patient Monitoring
    • Authors: KS Bughio, DM Cook, SAA Shah
    • Journal: Sensors
    • Year: 2024
    • Volume: 24
    • Issue: 9
    • Pages: 2804

 

  • Reconstruction and archival approaches with 3D visualization of Cultural Heritage in Museums of Sindh Region
    • Authors: AM Unar, KS Unar, S Talpur, TJ Khanzada
    • Conference: 2019 IEEE 6th International Conference on Engineering Technologies and …
    • Year: 2019

 

  • Visualization and interaction methods for portable antiquities of Sindh
    • Authors: KS Unar, Z Patoli, S Chandio, S Solangi