Muayyad Ahmad | Artificial Intelligence | Excellence in Research

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Prof Muayyad Ahmad | Artificial Intelligence | Excellence in Research

Professor in Nursing Science, University of Jordan / School of Nursing, Jordan 🌟

Dr. Muayyad Mustafa Ahmad, a distinguished nursing professional, has been a Professor at the University of Jordan’s School of Nursing since 2011. With decades of academic, clinical, and research excellence, he specializes in adult health nursing and holds significant leadership roles in the field. His contributions to nursing education and healthcare research have earned him global recognition.

Profile

Google Scholar

Education πŸŽ“

Dr. Muayyad Mustafa Ahmad holds an impressive academic background in nursing, beginning with a Bachelor of Science (B.Sc.) in Nursing from the University of Jordan (1982–1986), where he graduated with an Excellent GPA. He further advanced his expertise by completing a Master of Science (M.Sc.) in Nursing at the same institution (1989–1992), again achieving an Excellent GPA. Committed to academic and professional growth, he pursued his Ph.D. in Nursing at the prestigious Case Western Reserve University in the USA (1996–2000), earning his degree with distinction and an Excellent GPA. His rigorous educational foundation has significantly contributed to his profound impact on nursing education, research, and practice globally.

Professional Experience πŸ’Ό

Dr. Muayyad Mustafa Ahmad has demonstrated exceptional leadership and dedication throughout his distinguished career in nursing education and practice. From 2011 to 2013, he served as the Professor & Dean of the School of Nursing at the University of Jordan, shaping the academic and professional development of future nursing leaders. Since 2013, he has held the position of Professor in the Clinical Nursing Department at the same institution, contributing significantly to advancing nursing education and research. His leadership roles extend internationally, including positions at King Saud Bin Abdulaziz University and Philadelphia University, where he showcased his commitment to fostering excellence in nursing. In his early career, Dr. Ahmad also excelled as a staff nurse and clinical teacher, blending his clinical expertise with his passion for mentoring students and improving patient care.

Research Interests πŸ”¬

Dr. Muayyad Mustafa Ahmad is a pioneer in advancing healthcare through his interdisciplinary approach, blending technology and nursing science to address critical health challenges. His research focuses on trauma care and improving outcomes in emergency departments, where he examines factors influencing patient recovery and system efficiency. Additionally, he is deeply involved in chronic disease management, utilizing advanced predictive models to enhance early detection and treatment strategies. Dr. Ahmad’s work on disaster preparedness emphasizes the importance of healthcare workforce self-efficacy, ensuring readiness for crises. His innovative contributions are instrumental in improving global health systems and fostering resilience in healthcare delivery.

Awards & Honors πŸ†

Dr. Muayyad Mustafa Ahmad is a globally recognized scholar, consistently ranked among the top 2% of scientists worldwide by Stanford University in 2023, 2022, and 2021. His exemplary contributions to research have earned him gold medals in the AD Scientific Index for 2024, 2023, and 2022, highlighting his distinction as one of Jordan’s leading academics. Dr. Ahmad received the prestigious Ali Mango Award in 2018 for excellence in medical research and was honored with the Distinguished Scientist Award by the Venus International Foundation in 2015. In addition to these accolades, he has been celebrated for his research excellence through numerous national and international awards, solidifying his reputation as a pioneer in nursing and health sciences.

Key Publications πŸ“š

“Self-Efficacy of Nurses and Physicians in the Emergency Department and its Influence on the Outcomes of Trauma Patients”

Published in Hospital Topics (2024). Read here

“Global, Regional, and National Burden of Stroke and its Risk Factors, 1990–2021”

Published in The Lancet Neurology (2024). Read here

“Hospital-Based Preparedness Measures for CBRNE Disasters”

Published in Environmental Health Insights (2024). Read here

“Fatigue and Health-Related Quality of Life in Patients with Multiple Sclerosis”

Journal of Research in Nursing (2024, accepted).

“Differences in Ischemic Heart Disease Between Males and Females Using Predictive AI Models”

Published in Electronic Journal of General Medicine (2024). Read here

Conclusion

Dr. Muayyad Mustafa Ahmad is a highly qualified candidate for the “Excellence in Research Award.” His exceptional academic achievements, robust publication record, international recognitions, and commitment to advancing nursing education and research align with the award’s objectives. Addressing the suggested areas for improvement could further solidify his standing as a global leader in nursing and healthcare research. Given his credentials and contributions, Dr. Ahmad is not only suitable but a strong contender for this award.

Yanxia Jin | Genetics | Best Scholar Award

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Yanxia Jin | Genetics | Best Scholar Award

Associate Professor at Hubei Normal University, China.

Dr. Yanxia Jin is a distinguished associate professor at Hubei Normal University, specializing in biomedical sciences, particularly in cancer treatment and tumorigenesis. Known for her dedication to both research and teaching, she actively mentors graduate students, fostering their growth in life sciences. Her work has received significant recognition through various prestigious awards and honors. Dr. Jin has contributed extensively to the field with over 38 SCI-indexed publications, including numerous first-author and corresponding author roles. Her leadership in high-impact research and commitment to academic excellence make her a valuable asset to the scientific and academic communities.

Publication Profile

Scopus

Educational Background

Dr. Jin has a robust academic foundation in biomedical sciences, which she has furthered through postdoctoral research at prominent institutions. Her postdoctoral studies at Zhongnan Hospital of Wuhan University and Hong Kong Baptist University allowed her to specialize in clinical medicine and traditional Chinese pharmacy. Her educational background has equipped her with a unique blend of interdisciplinary knowledge that she has applied throughout her research and teaching career. This solid academic and research training has set the groundwork for her impactful contributions to cancer research and the life sciences.

Experience

With years of experience as an academic mentor and researcher, Dr. Jin has become a pivotal figure at Hubei Normal University. She has not only led critical projects as Principal Investigator but also collaborated on nationally funded initiatives, such as those supported by the National Natural Science Foundation of China (NSFC) and the Hubei Province Natural Science Foundation. Her experience spans research project management, scientific publication, and graduate mentorship. Her work has established her as a leading expert in her field, contributing to advancements in cancer treatment and biomedical sciences.

Research Focus

Dr. Jin’s research focuses on understanding tumorigenesis and developing innovative cancer treatment approaches. Her work with selenium nanocomposites, biomarker identification, and anti-tumor compounds has shown promise in targeting lung cancer and leukemia. This specialization in molecular oncology and nanomedicine underlines her commitment to addressing pressing health challenges. Dr. Jin’s studies are driven by a goal to translate foundational research into clinical applications, reflecting her dedication to advancing treatment options and improving patient outcomes in oncology.

Awards and honors

Dr. Jin has received several notable awards, including recognition as both a Chutian Scholar and a Hong Kong Scholar, celebrating her contributions to biomedical research and education. Her accomplishments are further highlighted by her leadership in prestigious research projects funded by major foundations. These accolades underscore her dedication to her field and her impact on cancer research and biomedical sciences. Dr. Jin’s honors not only mark her as a researcher of high repute but also as a dedicated educator who inspires the next generation of scientists.

Conclusion

Dr. Yanxia Jin’s exemplary achievements, including her high-impact research, significant grant funding, and dedication to mentorship, make her an exceptional candidate for the Best Scholar Award. Her work on innovative cancer treatments and biomarkers exemplifies her commitment to addressing complex health challenges. With her ongoing dedication to expanding her research and mentorship, Dr. Jin is well-suited to receive this award, embodying both excellence in scholarship and significant contributions to the field of life sciences.

Publication Top Notes

Title: A novel selenium nanocomposite modified by AANL inhibits tumor growth by upregulating CLK2 in lung cancer
Authors: Zhang, Y., Chen, Y., Wang, B., Pan, J., Jin, Y.
Year: 2024
Citations: 0

Title: A diagnostic biomarker of acid glycoprotein 1 for distinguishing malignant from benign pulmonary lesions
Authors: Chen, Y., Zhang, Y., Huang, A., Pan, J., Jin, Y.
Year: 2023
Citations: 0

Title: Preparation and usage of nanomaterials in biomedicine
Authors: Zhang, Y., Ai, L., Gong, Y., Jin, Y.
Year: 2023
Citations: 3

Title: Overexpression of SERPINA3 suppresses tumor progression by modulating SPOP/NF-ΞΊB in lung cancer
Authors: Jin, Y., Zhang, Y., Huang, A., Wang, W., Pan, J.
Year: 2023
Citations: 3

Title: Alpha-1-antichymotrypsin as a novel biomarker for diagnosis, prognosis, and therapy prediction in human diseases
Authors: Jin, Y., Wang, W., Wang, Q., Raza, U., Gong, Y.
Year: 2022
Citations: 27

Title: Evaluation of prognostic staging systems of multiple myeloma in the era of novel agents
Authors: Shang, Y., Jin, Y., Liu, H., Hu, J., Zhou, F.
Year: 2022
Citations: 2

Title: Therapeutic Plateletpheresis in Patients With Thrombocytosis: Gender, Hemoglobin Before Apheresis Significantly Affect Collection Efficiency
Authors: Jiang, H., Jin, Y., Shang, Y., Gong, F., Zhou, F.
Year: 2021
Citations: 3

Title: Synergistic effects of AAGL and anti-PD-1 on hepatocellular carcinoma through lymphocyte recruitment to the liver
Authors: Ye, X., Wang, X., Yu, W., Xu, B., Sun, H.
Year: 2021
Citations: 4

Title: Shengxuening Extracted from Silkworm Excrement Mitigates Myelosuppression via SCF-Mediated JAK2/STAT3 Signaling
Authors: Ding, L., Tan, Y., Xu, L., Huang, T., Zhou, F.
Year: 2021
Citations: 8

salma ayari | Marketing | Best Researcher Award

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salma ayari | Marketing | Best Researcher Award

ESCT at University of Tunis, Tunisia.

Salma Ayari is a Tunisian marketing expert specializing in digital marketing strategies and communication. With a career built on both academia and practical engagement, she brings innovative insights to the field. She has cultivated exceptional communication skills, conveying complex information effectively through her teaching and research roles. Known for her diligence, creativity, and adaptability, Ayari has a proven ability to handle high-pressure environments and diverse settings. Her commitment to continuous learning, combined with her advanced skills in time management, teamwork, and organization, underscores her qualifications for advanced marketing research and education in Tunisia and beyond.

Publication Profile

Scopus

Educational Background

Salma Ayari holds a Ph.D. in Marketing from Ecole SupΓ©rieure de Commerce de Tunis, University of Manouba, Tunisia. Her doctoral thesis, defended in 2020, investigates the influence of mental imagery on consumer engagement in online environments, earning a β€œVery Honorable” mention. She also completed her Master’s in Marketing Research at the same institution in 2014, focusing on mental imagery’s impact on consumer attitudes. Additionally, she earned a Bachelor’s degree in Applied Economics, specializing in International Finance, with honors in 2010, and earlier, a Bachelor’s in Economics and Management in 2006 from Ibn Abi Dhief High School.

Experience

Ayari has extensive teaching experience as a contractual assistant across various Tunisian universities, including the University of Tunis El Manar, University of Jendouba, and ESCT. Since 2017, she has taught a range of marketing courses, including digital marketing, product management, and service marketing. Her roles have also included curriculum design and supervision of final-year undergraduate marketing students, guiding them on topics like digital strategies, e-commerce, and the impact of social media on customer behavior. This blend of teaching, practical assignments, and student mentorship showcases her dedication to advancing marketing education and research.

Research Focus

Ayari’s research centers on the evolving digital marketing landscape, with particular emphasis on consumer engagement through online platforms, customer relationship management (CRM), and social media. Her work explores how mental imagery impacts user interactions on digital platforms and has further extended into areas like interactive and social media marketing, online advertising, and CRM applications. She has also supervised research on contemporary topics such as AI’s role in marketing, e-banking services, and the influence of social media influencers, demonstrating her commitment to investigating the intersection of digital technology and consumer psychology.

Awards and honors

The information provided does not list specific awards or honors that Salma Ayari has received. However, her academic achievements, such as receiving a β€œVery Honorable” mention for her Ph.D. thesis in marketing, signify recognition of her scholarly excellence within her institution. Additionally, her sustained roles as a contractual assistant across multiple universities, along with her mentorship of students in complex, modern marketing topics, reflect her professional credibility and dedication, which might have earned her informal honors within the academic and research communities.

Conclusion

Dr. Salma Ayari presents a strong case for the Best Researcher Award in her field, especially given her specialization in digital marketing, her dedication to student mentorship, and her academic teaching experience. Her research is timely and applicable, which is essential for impactful contributions in marketing. Focusing on strengthening her publication portfolio and international presence would further solidify her standing and enhance her visibility in the field.

Publication Top Notes

    • “Muslims’ reluctance to social media campaigns about organ donation: an exploratory study”
      • Authors: Nouira, O., Ayari, S.
      • Journal: Journal of Islamic Marketing
      • Year: 2024
      • Volume/Issue/Pages: 15(7), pp. 1706–1721
      • Citations: 0
    • “Understanding the dynamics of unfollowing behaviour on TikTok: implications for interactive marketing”
      • Authors: Ayari, S., Nouira, O., Oueslati, K.
      • Journal: Journal of Decision Systems
      • Year: 2024
      • Citations: 0
    • “A Bibliometric Analysis on Artificial Intelligence in Marketing: Implications for Scholars and Managers”
      • Authors: Oueslati, K., Ayari, S.
      • Journal: Journal of Internet Commerce
      • Year: 2024
      • Volume/Issue/Pages: 23(3), pp. 233–261
      • Citations: 1
    • “Exploring the causes to unfollow social media influencers: A qualitative study”
      • Authors: Ayari, S., Oueslati, K., Ben Yahia, I.
      • Journal: Journal of Human Behavior in the Social Environment
      • Year: 2024
      • Citations: 2
    • “Proposal of a Measurement Scale and Test of the Impacts on Purchase and Revisit Intention”
      • Authors: Ayari, S., Yahia, I.B.
      • Journal: Journal of Telecommunications and the Digital Economy
      • Year: 2023
      • Volume/Issue/Pages: 11(3), pp. 1–18
      • Citations: 0
    • “Impacts of immersion on loyalty to guesthouse websites: The simultaneous effect of 3d decor and avatars in a hyper-real environment”
      • Authors: Ayari, S., Ben Yahia, I.
      • Journal: Journal of Marketing Communications
      • Year: 2023
      • Citations: 2
    • “Measuring E-Browsing Behaviour and Testing its Impact on Online Immersion”
      • Authors: Ayari, S., Yahia, I.B., Debabi, M.
      • Journal: Journal of Telecommunications and the Digital Economy
      • Year: 2022
      • Volume/Issue/Pages: 10(2), pp. 111–125
      • Citations: 2
    • “A specific language for developing business process by refinement based on BPMN 2.0”
      • Authors: Ayari, S., Hlaoui, Y.B., Ayed, L.B.
      • Conference: 16th International Conference on Software Technologies, ICSOFT
      • Year: 2021
      • Pages: pp. 489–496
      • Citations: 0
    • “A grammar based approach to BPMN model semantic preservation using refinement”
      • Authors: Ayari, S., Hlaoui, Y.B., Ayed, L.B.
      • Conference: International Computer Software and Applications Conference
      • Year: 2019
      • Volume/Pages: 2, pp. 549–554
      • Citations: 1
    • “Towards an Automatic Verification of BPMN Model Semantic Preservation During a Refinement Process”
      • Authors: Hlaoui, Y.B., Ayari, S., Ayed, L.J.B.
      • Conference: Communications in Computer and Information Science
      • Year: 2019
      • Volume/Pages: 1077, pp. 397–420
      • Citations: 1

Hafida bouarfa | Computer Science | Excellence in Research

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Mrs. Hafida bouarfa | Computer Science | Excellence in Research

Mrs. Hafida bouarfa, UniversitΓ© de Blida, Algeria

Professor at the Data Processing Department, University of Blida, Algeria, Hafida Bouarfa holds a Ph.D. in Data Processing and a Magister in Information Systems from H.E.C. Montreal. With extensive research on virtual organizations, she has published numerous articles in international journals and conferences, addressing topics like knowledge management and seismic evaluations. Passionate about education, she mentors students and collaborates on innovative projects. Married with two children, she balances her professional and family life while contributing significantly to the field of data processing. πŸ“šβœ‰οΈ

Publication Profile

Google Scholar

Educational Background

Mrs. Hafida Bouarfa has an impressive educational background in Data Processing. She earned her Ph.D. in Data Processing with a focus on Information Systems from ESI (ex.INI) in Algiers, Algeria, in November 2004. Prior to that, she obtained her Magister in Information Systems from H.E.C. MontrΓ©al, Canada, in December 1991. Her journey began with an Engineer diploma in Data Processing, also from ESI (ex.INI) in September 1988. She laid a strong foundation with a General Certificate of Education in Mathematics in June 1983. πŸŽ“πŸ“š

Research Focus

Mrs. Hafida Bouarfa’s research primarily focuses on the integration of advanced computing techniques in various domains. Her work includes big data analytics πŸ“Š, emphasizing decision-making processes and enhancing data-driven strategies. She explores ontology matching πŸ€– and neural networks for information systems, aiming to improve knowledge management and retrieval. Additionally, her research addresses Internet of Things (IoT) πŸ”— security through physical unclonable functions (PUFs) and mutual authentication protocols, contributing to safe and efficient communication networks. Bouarfa’s contributions to smart cities πŸ™οΈ and fuzzy logic 🌫️ applications reflect her commitment to innovative solutions in technology and information management.

 

Publication Top Notes

  • A new model for integrating big data into phases of decision-making process | Cited by: 49 | Year: 2019 πŸ“Š
  • Ontology matching using neural networks: survey and analysis | Cited by: 27 | Year: 2018 πŸ€–
  • A survey on silicon PUFs | Cited by: 24 | Year: 2022 πŸ”
  • PUF-based mutual authentication and session key establishment protocol for IoT devices | Cited by: 23 | Year: 2023 πŸ”
  • Predicting students performance using decision trees: Case of an Algerian University | Cited by: 22 | Year: 2017 πŸŽ“
  • A new collaborative clustering approach for the Internet of vehicles (CCA-IoV) | Cited by: 17 | Year: 2020 πŸš—
  • Deep embedding learning with auto-encoder for large-scale ontology matching | Cited by: 15 | Year: 2022 πŸ”—
  • Extension of commonKads for virtual organizations | Cited by: 15 | Year: 2003 🏒
  • Fuzzy probabilistic ontology approach: a hybrid model for handling uncertain knowledge in ontologies | Cited by: 13 | Year: 2019 🌫️
  • A new supervised learning based ontology matching approach using neural networks | Cited by: 12 | Year: 2019 πŸ“š