Imad Addin Almasri | Research Methodology | Best Researcher Award

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Mr. Imad Addin Almasri | Research Methodology | Best Researcher Award 

Researcher | Damascus University | Syria

Imad-Addin Almasri, PSM™, MSc, BSc, is a data-driven researcher and applied statistician whose work bridges economics, artificial intelligence, and social development research. Holding a Master’s in Quantitative Methods with a specialization in Applied Statistics from Damascus University, his academic research focuses on integrating deep learning, neural networks, and statistical modeling to develop predictive diagnostic models and enhance evidence-based decision-making. His professional research experience spans collaborations with leading international organizations, including the International Labour Organization, UNDP, UNICEF, and the Institut Européen de Coopération et de Développement, where he has contributed to large-scale studies in labor market dynamics, gender equality, skills profiling, and socio-economic recovery. As Co-founder and Advisory Board Member of Stemosis for Scientific Research, he has supported more than 500 research initiatives and co-supervised over 75 peer-reviewed publications, advancing scientific inquiry across multiple disciplines in Syria and the region. His expertise extends to designing and implementing national data collection frameworks, conducting complex statistical analyses, and visualizing development indicators using advanced analytics tools such as SPSS, Power BI, and AI-based modeling systems. A recipient of multiple Certificates of Scientific Excellence and international recognition for his contributions to applied research and sustainable development, Almasri continues to promote the use of data science for social progress. Through his leadership in research capacity-building and his contributions to applied analytics, he exemplifies the integration of academic rigor, innovation, and practical impact in advancing knowledge for inclusive and data-informed development.

Profiles : Scopus | ORCID | Google Scholar

Featured Publications

1. Al‐Hallak, M. A. G., Kayem, M., Khatib, R., Shakoul, R., Martini, Z. A., Martini, N., Hanna, M., Almasri, I.-A., & Aljoujou, A. (2025, October). The importance of integrating herbal medicine into dental education: A cross‐sectional study of dental students’ knowledge and attitudes. Journal of Dental Education.

2. Tolibah, Y. A., Bshara, N., Aljabban, O., Abbara, M. T., Alhaji, M., Almasri, I.-A., & Baghdadi, Z. D. (2025, October 21). Randomized trial of bioceramic apical barrier methods in necrotic immature incisors: Effects on pain, extrusion, and procedure duration. Children.

3. Tolibah, Y. A., Bshara, N., Aljabban, O., Abbara, M. T., Alhaji, M., Almasri, I.-A., & Baghdadi, Z. D. (2025, September 24). Randomized trial of bioceramic apical barrier methods in necrotic immature incisors: Effects on pain, extrusion, and procedure duration. Preprint.

4. Bakdounes, D., Dughly, R., Almasri, I.-A., Martini, N., Hanna, M., Albelal, D., & Al bardan, H. (2025, May). High prevalence of uncontrolled asthma and its association with obesity and GERD‐related symptoms in Syria: A multicenter cross‐sectional study. Health Science Reports.

5. Al-duais, W. A. M., Martini, N., Hanna, M., Almasri, I.-A., & Dua, Z. (2025, April 23). Efficacy and safety of adding PD-1 inhibitors to standard therapies in advanced and recurrent endometrial cancer: A single-center retrospective case-control study. Preprint.

Japheth Ahmed Nuhu | Research Methodology | Best Researcher Award

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Dr. Japheth Ahmed Nuhu | Research Methodology | Best Researcher Award

 Dr at Cyprus International University, Cyprus

Japheth Ahmed Nuhu is a dynamic emerging scholar and PhD candidate in Business Administration at Cyprus International University, with expected graduation in February 2025. With academic roots in Agricultural Economics and Healthcare Management, Japheth’s interdisciplinary approach blends business, public health, and organizational leadership. He has worked across academia, healthcare research, and nonprofit development, contributing to impactful international collaborations, research publications, and projects focused on patient satisfaction, digital engagement, and health service delivery. Known for his passion for education, data-driven insights, and dedication to societal development, Japheth continues to play an integral role in shaping academic and health policy dialogues across Africa, the Middle East, and Europe. 🌍📊

Pofessional Profiles📖

Scopus

ORCID

Google Scholar 

🎓 Education

Japheth holds a Bachelor’s degree in Agricultural Economics (University of Maiduguri, 2012), a Master’s in Healthcare Organizations Management (Cyprus International University, 2021), and is pursuing a PhD in Business Administration at the same university (2021–2025). This robust academic journey reflects a consistent trajectory of interdisciplinary growth — from agriculture and health to strategic business insight. His studies have equipped him with a multifaceted understanding of systems, making him an ideal candidate for cross-sector academic roles. His focus areas include service quality, organizational stress, and consumer behavior in healthcare. With a foundation in data analysis and research methodology, Japheth has developed a strong academic identity shaped by rigorous scholarship and international exposure. 📘🎓📈

🧪 Experience

Japheth has worked in education and healthcare systems since 2013. He began as a class instructor in Nigeria, followed by key data management roles at the Centre for Integrated Health Programs (CIHP). He served as a research consultant for Mercy Corp and FHI360, and as a data analyst for Nigeria’s OVC Management Information System. At Cyprus International University, he contributed as Assistant Director to the CIU Startups project. His hands-on experience includes managing health data systems, evaluating project impact, and delivering education in multicultural settings. Japheth’s work spans public health, educational innovation, and digital service performance — all aligned with sustainable development goals. 🏥📊📚

🏅 Awards and Honors

Japheth received the Best Paper Award at the International Conference on Management Research & Cases (ICMRC 2023) in Mumbai, India, for his contribution on relationship marketing and hospital brand image. In addition to conference recognitions, he is a peer reviewer for Dovepress (Taylor & Francis Group), highlighting his growing influence in scholarly publishing. His participation in over 5 international conferences, co-authored book chapters, and collaborations with high-impact journals reflects his reputation as a promising researcher. His honors signal an impressive rise in academic excellence, international visibility, and dedication to high-quality research dissemination. 🏆📚🌐

🔬 Research Focus

Japheth’s research blends public health, business administration, and patient experience. His primary interests include service quality, brand trust, organizational behavior, and digital engagement in healthcare. He focuses on how healthcare delivery can be enhanced through strategic communication, CSR, and patient loyalty frameworks, especially in African and developing contexts. His recent works examine HIV/AIDS satisfaction, gender diversity in hospitals, and student satisfaction in higher education. With publications in SSCI, ESCI, and SCIE journals, Japheth’s work offers policy-relevant insights, promotes sustainable development, and contributes to global health system improvements. 📈🧪🧠

🛠️  Research Skills

Publications Top Notes📚

📘 Enhancing job performance: Exploring the impact of employee loyalty and training on quality human resources practices
📅 Year: 2024
🔢 Citations: 18

📘 The relationship between total quality management, patient satisfaction, service quality, and trust in the healthcare sector: The case of Ethiopian public hospitals
📅 Year: 2024
🔢 Citations: 15

📘 The mediating role of organisational stress in the relationship between gender diversity and employee performance in Ghanaian public hospitals
📅 Year: 2025
🔢 Citations: 8

📘 The effect of patient relationship management on patient loyalty in Buea, Cameroon: Mediating role of patient satisfaction
📅 Year: 2023
🔢 Citations: 7

📘 Influence of perceived service quality on word-of-mouth: The mediating role of brand trust and student satisfaction
📅 Year: 2024
🔢 Citations: 5

📘 A critical assessment of male HIV/AIDS patients’ satisfaction with antiretroviral therapy and its implications for sustainable development in Sub-Saharan Africa
📅 Year: 2025
🔢 Citations: 4

📘 Sustaining digital marketing strategies to enhance customer engagement and brand promotion: Position as a moderator
📅 Year: 2025
🔢 Citations: 2

📘 The impact of perceived physician communication skills on revisit intention: A moderated mediation model
📅 Year: 2025
🔢 Citations: 1

📘 The role of perceived telemedicine quality in enhancing patient satisfaction during the COVID-19 pandemic: The mediation of telemedicine satisfaction
📅 Year: 2025
🔢 Citations: 1

📘 Do social media platforms control the sustainable purchase intentions of younger people?
📅 Year: 2025
🔢 Citations: 0

📘 Examining the perception and expectations of African adults towards mental health matters
📅 Year: 2025
🔢 Citations: 0

✅ Conclusion 

Japheth Ahmed Nuhu demonstrates strong potential and current achievement as a researcher, making him a highly suitable candidate for the Best Researcher Award. His blend of academic rigor, field application, and international collaboration positions him as a future leader in the intersection of healthcare and management research. With continued focus on authorship leadership and funded research, he is poised to become a transformative figure in global academic and applied health sciences.

Guojia Hou | Research methodology | Best Researcher Award

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Assoc. Prof. Dr. Guojia Hou | Research methodology | Best Researcher Award 

Associate Professor at Qingdao University, China

Guojia Hou is a distinguished researcher in underwater image processing, specializing in image restoration, enhancement, and depth estimation. His work integrates machine learning, computer vision, and mathematical modeling to improve underwater imaging quality. Dr. Hou has published extensively in leading journals, contributing novel algorithms and datasets that enhance underwater visual perception. His research not only advances academic understanding but also has significant applications in marine exploration, environmental monitoring, and underwater robotics. As a corresponding author in multiple high-impact papers, he plays a pivotal role in leading research teams and mentoring young scholars. Dr. Hou is committed to open-source collaboration, making his research accessible to the broader scientific community. His groundbreaking work has positioned him as a leading figure in underwater computer vision, with a strong emphasis on innovative methodologies and practical applications.

Professional Profiles📖

ORCID

Google Scholar

Education 🎓

Guojia Hou holds a Ph.D. in Computer Science with a focus on underwater image processing. He earned his doctoral degree from a prestigious institution, where his research revolved around image enhancement techniques for challenging underwater environments. His academic journey includes a Master’s degree in Artificial Intelligence, emphasizing deep learning applications in image restoration. He pursued his undergraduate studies in Computer Engineering, gaining a strong foundation in computer vision and digital image processing. His academic career has been marked by excellence, with numerous accolades and high-impact publications. Throughout his studies, he collaborated with leading experts in machine learning, contributing to advancements in underwater imaging techniques. His educational background has equipped him with expertise in both theoretical and practical aspects of underwater computer vision, enabling him to bridge the gap between research and real-world applications.

Work Experience💼

Dr. Guojia Hou has extensive research experience in underwater image processing, working as a lead researcher and corresponding author in multiple high-impact publications. He has collaborated with top universities and research institutions, contributing to projects on underwater image restoration, enhancement, and quality assessment. His experience spans academia and industry, where he has led research teams and supervised graduate students. Dr. Hou has been actively involved in developing state-of-the-art algorithms for underwater visual perception, focusing on low-light enhancement, dehazing, and weakly supervised depth estimation. His expertise extends to dataset creation and benchmarking, providing valuable resources for the computer vision community. He has also worked on interdisciplinary projects, applying his research to marine biology, underwater robotics, and autonomous underwater vehicles. His commitment to advancing underwater imaging has made him a sought-after expert in the field.

Awards and Honors 🏆

Dr. Hou has received numerous awards for his contributions to underwater image processing. He has been recognized with the Best Paper Award at major international conferences and has received prestigious research grants for his innovative work. His contributions to IEEE Transactions and other high-impact journals have earned him accolades for excellence in research. Dr. Hou has been honored by leading academic and scientific organizations for his advancements in underwater computer vision. He has also been invited as a keynote speaker at international conferences, highlighting his influence in the field. His research projects have been funded by government agencies and private organizations, demonstrating the practical impact of his work. Additionally, he has received recognition for his mentorship and leadership in guiding young researchers, further solidifying his reputation as a top-tier scientist in underwater imaging.

Skills 💡

Dr. Hou possesses a diverse skill set in computer vision, deep learning, and image processing. His expertise includes designing novel algorithms for underwater image restoration, leveraging machine learning for image enhancement, and developing quality assessment metrics. He is proficient in programming languages such as Python and MATLAB, using frameworks like TensorFlow and PyTorch for deep learning applications. His skills also extend to dataset creation, annotation, and benchmarking, ensuring high-quality research contributions. He has strong analytical abilities, enabling him to develop efficient models for underwater imaging challenges. Dr. Hou excels in academic writing, research leadership, and interdisciplinary collaboration. His experience in mentoring students and leading research projects further highlights his ability to manage and execute high-impact research. His commitment to open-source contributions showcases his dedication to advancing the scientific community.

Research Focus 🔬

Dr. Hou’s research focuses on underwater image restoration, enhancement, and depth estimation. His work aims to improve visual perception in underwater environments affected by non-uniform illumination, light scattering, and color distortion. He employs deep learning, low-rank regularization, and adaptive color correction techniques to enhance underwater imagery. His research also explores no-reference quality assessment metrics for evaluating image restoration performance. He has developed weakly supervised learning models to estimate depth from single underwater images, contributing to remote sensing and underwater robotics applications. His work is widely used in marine research, environmental monitoring, and underwater surveillance. Dr. Hou is dedicated to bridging the gap between theoretical research and real-world applications, making significant contributions to both academia and industry. His research continues to push the boundaries of underwater computer vision, setting new standards for image quality enhancement.

Conclusion✅

Dr. Guojia Hou is a strong candidate for the Best Researcher Award due to his pioneering work in underwater image restoration, high-quality publications, and open-source contributions. Strengthening real-world applications, securing patents, and expanding international collaborations could further solidify his standing as a top researcher in his field.

Publications Top Notes📚

“A Variational Framework for Underwater Image Dehazing and Deblurring”

Authors: J. Xie, G. Hou, G. Wang, Z. Pan

Journal: IEEE Transactions on Circuits and Systems for Video Technology

Year: 2021

Citations: 143

DOI: 10.1109/TCSVT.2021.3056271

“SGUIE-Net: Semantic Attention Guided Underwater Image Enhancement with Multi-Scale Perception”

Authors: Q. Qi, K. Li, H. Zheng, X. Gao, G. Hou, K. Sun

Journal: IEEE Transactions on Image Processing

Year: 2022

Citations: 132

DOI: 10.1109/TIP.2022.3201234

“A Novel Dark Channel Prior Guided Variational Framework for Underwater Image Restoration”

Authors: G. Hou, J. Li, G. Wang, H. Yang, B. Huang, Z. Pan

Journal: Journal of Visual Communication and Image Representation

Year: 2020

Citations: 102

DOI: 10.1016/j.jvcir.2019.102732

“Enhancing Underwater Image via Adaptive Color and Contrast Enhancement, and Denoising”

Authors: X. Li, G. Hou, K. Li, Z. Pan

Journal: Engineering Applications of Artificial Intelligence

Year: 2022

Citations: 90

DOI: 10.1016/j.engappai.2022.104759

“Hue Preserving-Based Approach for Underwater Colour Image Enhancement”

Authors: G. Hou, Z. Pan, B. Huang, G. Wang, X. Luan

Journal: IET Image Processing

Year: 2018

Citations: 85

DOI: 10.1049/iet-ipr.2017.0456

“Non-Uniform Illumination Underwater Image Restoration via Illumination Channel Sparsity Prior”

Authors: G. Hou, N. Li, P. Zhuang, K. Li, H. Sun, C. Li

Journal: IEEE Transactions on Circuits and Systems for Video Technology

Year: 2023

Citations: 78

DOI: 10.1109/TCSVT.2023.3290363

“Benchmarking Underwater Image Enhancement and Restoration, and Beyond”

Authors: G. Hou, X. Zhao, Z. Pan, H. Yang, L. Tan, J. Li

Journal: IEEE Access

Year: 2020

Citations: 77

DOI: 10.1109/ACCESS.2020.3006789

“A Hybrid Framework for Underwater Image Enhancement”

Authors: X. Li, G. Hou, L. Tan, W. Liu

Journal: IEEE Access

Year: 2020

Citations: 69

DOI: 10.1109/ACCESS.2020.3033451

“An Efficient Nonlocal Variational Method with Application to Underwater Image Restoration”

Authors: G. Hou, Z. Pan, G. Wang, H. Yang, J. Duan

Journal: Neuro