Yasin Aras | Strategic Planning | Best Researcher Award

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Assist. Prof. Dr. Yasin Aras | Strategic Planning | Best Researcher Award

Academician at Aksaray University | Turkey 

Assist. Prof. Dr. Yasin Aras is an accomplished academician at Aksaray University, recognized for his scholarly contributions in the field of healthcare management and policy. His academic pursuits are centered on exploring ways to enhance the efficiency, performance, and quality of healthcare institutions through evidence-based management practices. With a strong interdisciplinary approach, Dr. Aras focuses on areas such as performance evaluation, organizational behavior, and healthcare economics, emphasizing the importance of values-driven leadership and employee engagement in improving overall service delivery and patient-centered care. His research underscores the critical role of human and organizational factors in achieving sustainable performance within healthcare systems. Throughout his academic career, Dr. Aras has actively contributed to both teaching and research, guiding students and professionals in understanding the complexities of healthcare management. His scholarly works have been published in reputed journals and indexed in respected databases, reflecting his commitment to advancing the field through empirical research and theoretical insights. One of his notable projects, Driving Quality Forward: A Study on the Utilization of QI Tools by Hospital Quality Managers, highlights his interest in promoting quality improvement tools and strategies that enhance hospital performance and operational efficiency. Dr. Aras has published 17 scholarly works in reputable national and international journals and book chapters, covering diverse topics such as human–machine interaction in home healthcare, socioeconomic determinants of health, and the effects of healthcare programs on service delivery. His publications are indexed in prestigious databases, reflecting growing scholarly recognition. With an h-index of 3 and 22 citations, his research demonstrates consistent academic impact and engagement within the global research community.

Profile : ORCID

Featured Publications : 

Aras, Y. (2025). Human–machine interaction in home healthcare. In Emerging Technologies and Intelligent Systems in Healthcare (Chapter 3). IGI Global.

Aras, Y. (2024). The effect of drug use in primary healthcare services on hospital admissions: The case of type 2 diabetes. Dicle University Journal of Economics and Administrative Sciences Faculty, 14(2), 1–15.

Aras, Y. (2024). The effect of socioeconomic and lifestyle factors on deaths due to mental and behavioral disorders: A panel data analysis. Hacettepe Journal of Health Administration, 27(3), 200–220.

Aras, Y. (2024). Examination of healthcare quality indicators with a two-stage panel data analysis: The case of cancer care. Acibadem University Journal of Health Sciences, 15(2), 85–97.

Çilhoroz, Y. (2023). Comparison of OECD countries in terms of lifestyle determinants of health using the TOPSIS method. Hacettepe University Journal of Economics and Administrative Sciences Faculty, 41(1), 45–60.

Blessing Guembe | Innovation Strategy | Best Researcher Award

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Dr. Blessing Guemb – Innovation Strategy – Best Researcher Award

 

University of Milano | Italy

Profiles 

Scholar

📍Current Position

Since April 2024, he has been serving as a Research Fellow at the University of Milan. In this role, she focuses on developing explainable knowledge-based solutions to address critical issues related to privacy and information security. Her research aims to empower users to manage their personal data and access reliable content while safeguarding freedom of expression. She is actively involved in the KURAMi Project under the guidance of Prof. Giovanni Livraga, working on innovative solutions in privacy protection and data security.

📝Publication Achievements 

“Trustworthy Machine Learning Approaches for Cyberattack Detection: A Review” Computational Science and Its Applications – ICCSA 2022 Workshops, doi:10.1007/978-3-031-10548-7_20. “The Emerging Threat of AI-Driven Cyber Attacks: A Review” Applied Artificial Intelligence, 36(1) doi:10.1080/08839514.2022.2037254 “Cloud Applications Management – Issues and Developments. Computational Science and Its Applications – ICCSA 2018 doi:10.1007/978-3-319-951713_54

 

🔍Ongoing Research 

Explainable AI: Developing methods to make AI systems more interpretable and understandable to users. Federated Learning: Enhancing privacy and security in distributed learning environments. Misinformation: Tackling the spread of false information on social media platforms. Privacy: Ensuring that users’ personal data is protected and managed effectively.

 

🔬Research Interests 

Explainable AI: Techniques that make machine learning models transparent and understandable. Federated Learning: Collaborative learning methods that maintain data privacy and security. Misinformation: Strategies to detect and mitigate false information in digital media. Privacy and Security: Protecting personal data and ensuring compliance with privacy regulations.

🎓Academic Background 

Doctor of Philosophy (PhD) in Computer Science Covenant University, 2023 . Master of Science (MSc) in Computer Science
Covenant University, 2019.  Bachelor of Science (BSc) in Computer Science Niger Delta University, 2012

🏆Scholarships and Awards 

Throughout his academic and professional career, Blessing has been recognized for her contributions to computer science and technology. His achievements are indicative of her commitment to advancing knowledge and innovation in her field.

🌐Professional Associations 

Association for Computing Machinery (ACM). IEEE Computer Society . International Association for Privacy Professionals (IAPP)

 📚Training & Workshops 

Advanced Machine Learning Techniques, Federated Learning and Privacy-Preserving Technologies , Cybersecurity and Privacy Protection

🎤Oral Presentations 

He has delivered presentations at numerous conferences and workshops, sharing insights on her research in AI, cybersecurity, and privacy. These presentations have contributed to her reputation as a thought leader in her field.

🧑‍🔬Tasks Completed as a Researcher 

Implemented Federated Learning Models: Developed and deployed federated learning models for healthcare applications. Applied Homomorphic Encryption: Secured research datasets through advanced encryption techniques. Conducted Privacy Risk Assessments: Evaluated privacy risks associated with social media platforms and proposed protective measures.

🚀Success Factors 

His success can be attributed to her dedication to research, her ability to stay abreast of technological advancements, and her collaborative approach to problem-solving..

🧪Publications & Laboratory Experience

His publications highlight her contributions to the fields of machine learning and cybersecurity. Her laboratory experience includes working on innovative projects related to data security, federated learning, and privacy-preserving techniques.

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