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

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Scholar

🎓 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

 

Supriya Manna | Operating Systems | Best Researcher Award

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Mr.Supriya Manna | Operating Systems | Best Researcher Award

Supriya Manna is a curious researcher exploring the intricacies of opaque AI models with a focus on explainability, causal learning, adversarial robustness, and the ethical implications of AI. With a strong foundation in optimization problems and scheduling, Supriya actively contributes to advancing AI research.

 

Publication Profile

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Assessment of Supriya Manna for the Best Researcher Award

🔍 Strengths for the Award:

  1. Research Focus and Innovation: Supriya Manna has a strong focus on explainable AI, causal learning, adversarial robustness, and the ethical dimensions of AI. These are emerging areas in AI research, and his contributions reflect a keen understanding of critical challenges within the field, particularly with regard to model transparency and security.
  2. Academic Excellence: Supriya has maintained a stellar GPA of 9.02/10.00 during his B.Sc. in Computer Science and Engineering at SRM University. Additionally, his consistent high grades in relevant coursework such as Design and Analysis of Algorithms, Artificial Intelligence, and Machine Learning demonstrate both his academic capability and understanding of core concepts.
  3. Research Experience: Supriya has undertaken research internships at both SRM University and Deakin University, focusing on cutting-edge areas like adversarial attacks, model explainability, and optimization. This experience has helped him develop a deep understanding of key research methodologies.
  4. Publications and Patents: Supriya has authored several significant publications, including articles in Scopus-indexed journals and a book chapter accepted by CRC Press. His research on topics like post-hoc explainability in NLP and the need for AI in education indicates his contribution to both theoretical and applied AI. Additionally, his patent on job batch processing showcases his innovation and technical skills.
  5. Technical Skills: Supriya is proficient in multiple programming languages and tools relevant to his research areas, including Python, MATLAB, and machine learning libraries like PyTorch. His projects, such as the scheduling algorithm simulator and the TSP solver using Ant Colony Optimization, further exemplify his practical problem-solving skills.

🚀 Areas for Improvement:

  1. Broader Impact and Collaboration: While Supriya has made notable strides in his research, further engagement in collaborative projects across different domains or with industry stakeholders could enhance the broader applicability and impact of his work.
  2. Diversity of Research Topics: His research is primarily focused on explainable AI and adversarial robustness. While these are vital areas, expanding into related topics like fairness in AI, AI ethics, or other optimization problems could broaden his research portfolio and make his work more comprehensive.
  3. Grant Acquisition and Leadership Roles: Although Supriya’s academic and research background is strong, gaining experience in securing research grants or taking on leadership roles in collaborative projects or conferences could further strengthen his profile.

Education:

B.Sc. Computer Science and Engineering (Hons), SRM University, AP (Sept 2021 – Sept 2025) Current GPA: 9.02/10.00 Relevant Coursework: AI, Machine Learning, Algorithms, Operating Systems, Discrete Mathematics. MOOCs: Ethics of AI, AI in Society, Philosophy and Critical Thinking.
Academic scholarship holder, 3 consecutive times.

Research Experience:

Research Intern, Deakin University (June 2024 – Present) Focused on security aspects of SOTA models and adversarial attacks.. Undergraduate Researcher, SRM University, AP (Sept 2023 – Present) Investigating explainability of deep models and adversarial robustness.. Research Intern, SRM University, AP (June 2023 – Sept 2023) Worked on machine learning and information retrieval projects.

Key Skills:

Languages: C/C++, Python, Java, MATLAB Tools: PyTorch, LIME, SHAP, scikit-learn, Git/GitHub, Gurobi Frameworks: React, Node.js, Flask, FastAPI

Publications:

  • Evaluating Post-hoc Explainers with Adversarial Sensitivity in NLP (under review)

 

  • Revitalizing the Single Batch Environment for Fairness and Efficiency, Int. J. of Computers and Applications (2024).

 

  • Need of AI in Modern Education: in the Eyes of Explainable AI (xAI), CRC Press, Taylor & Francis Group (2024).

 

  • Patent: A Computing System and a Method for Managing Batch Processing of Jobs (Indian Patent, 2024).

🏆 Conclusion:

Supriya Manna demonstrates exceptional research capabilities and academic excellence in the field of AI, particularly in explainable AI and adversarial robustness. His contributions, both in terms of publications and practical projects, make him a strong candidate for the Best Researcher Award. To enhance his candidacy, more interdisciplinary collaborations and leadership in larger research initiatives could be beneficial. However, considering his current achievements, he is well-positioned to be recognized for his research excellence.

 

Abdallah Houcheimi | Agronomy | Best Researcher Award

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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.