Zahra Lakdawala | Machine Learning and AI Applications | Research Excellence Award

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Dr. Zahra Lakdawala | Machine Learning and AI Applications | Research Excellence Award

Fraunhofer IWES | Germany

Zahra Lakdawala is an accomplished industrial mathematician and Senior Research Scientist at Fraunhofer Institute for Wind Energy Systems, with extensive expertise in applied mathematics, computational fluid dynamics, and AI-driven modeling. She earned her Ph.D. from the Technical University of Kaiserslautern, focusing on multiscale filtration problems. Her research integrates numerical methods, physics-informed neural networks, and large-scale simulations for industrial and environmental applications, including groundwater management and wind energy. With strong academic, industry, and international research experience, she has contributed to advanced software development, interdisciplinary projects, and high-impact scientific publications.

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Pearl Asieduwaa Osei | Machine Learning and AI Applications | Research Excellence Award

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Ms. Pearl Asieduwaa Osei | Machine Learning and AI Applications | Research Excellence Award

University of Mines and Technology | Ghana

Pearl Asieduwaa Osei is a Ph.D. candidate in Mathematical Sciences at the University of Mines and Technology (UMaT), Tarkwa, Ghana. She holds a BSc in Pure Mathematics from the University for Development Studies, an MSc from the African Institute of Mathematical Sciences (AIMS-Ghana), and an MPhil in Applied Mathematics from Kwame Nkrumah University of Science and Technology. Her research focuses on data mining and the application of artificial intelligence in mineral processing. She has contributed to predictive modeling in gold cyanide leaching, developing optimized machine learning frameworks that enhance process efficiency, accuracy, and resource utilization in Ghanaā€™s mining sector.

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Dr. Fidel Isheanesu Mugunzva | Artificial Intelligence | Research Excellence Award

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Dr. Fidel Isheanesu Mugunzva | Artificial Intelligence | Research Excellence Award

Zagatto Research Institute | Zimbabwe

Dr. Fidel I. Mugunzva is a dynamic scholar and research professional with over a decade of corporate experience, bridging industry practice with academic excellence. He holds a PhD in Management Studies from the University of South Africa, with research interests centered on artificial intelligence, AI ethics, entrepreneurship, and digital transformation. Currently serving as a Research Lead at Zagatto Research Institute, he has led impactful data-driven projects and strategic initiatives. Dr. Mugunzva has published in peer-reviewed journals, presented at international conferences, and contributed to higher education as a lecturer and research supervisor, demonstrating strong commitment to interdisciplinary research and innovation.

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Featured Publications

Manjiang Xing | Digital economy | Best Researcher Award

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Prof. Manjiang Xing | Digital economy | Best Researcher Award

Qilu Institute of Technology | China

Publication Profile

Scopus

INTRODUCTION šŸ‘Øā€šŸ«

Xing Manjiang is a distinguished academic and researcher, holding a Ph.D. and serving as a senior engineer and professor at Qilu Institute of Technology in China. He specializes in fields like Digital Economy, Digital Trade, Smart Cities, Artificial Intelligence, and E-commerce, among others. Xing is a key figure in multidisciplinary research, where his work fuses various technologies and business sectors, demonstrating leadership in both academia and the industry. His contributions span across publishing multiple research papers and securing several patents.

EARLY ACADEMIC PURSUITS šŸŽ“

Xing Manjiang’s academic journey began with a Bachelorā€™s degree in Thermal and Power Engineering from North China University of Science and Technology in 2004. He later pursued a Masterā€™s degree in Project Management at North China Electric Power University, completing it in 2019. Continuing his commitment to academia, he earned a Ph.D. in International Management (Global Business) from Kyonggi University in 2024. These academic milestones laid the foundation for his diverse contributions in both research and teaching.

PROFESSIONAL ENDEAVORS šŸ’¼

Throughout his career, Xing has held significant roles both in academia and industry. He is currently serving as a Professor at Qilu University of Technology, where he is involved in research and teaching undergraduate courses such as International Economic Cooperation and Introduction to Big Data. In addition to his academic duties, he worked as a Part-time Technical Director & Financial Director at Mingchuang Kehuan (Beijing) Technology Co. from 2021 to 2024. His industry experience includes positions as a Senior Engineer and Technician in several power generation companies, where he gained expertise in equipment management and infrastructure management.

CONTRIBUTIONS AND RESEARCH FOCUS šŸ’”

Xing’s research primarily focuses on Digital Economy, Smart Cities, Artificial Intelligence, E-commerce, Regional Economy, and Social Efficiency. He has explored the integration of big data and AI with business strategies, such as in cross-border e-commerce and industry innovation. Xingā€™s ability to bridge technology with business makes his research especially impactful. Heā€™s led several key projects, such as the Sichuan Provincial Science and Technology Departmentā€™s Key R&D Project and the China Association of Business Economics 2024 Planning Project, among others.

IMPACT AND INFLUENCE šŸŒ

Xing’s academic work has made a considerable impact in the fields of digital transformation and economic growth strategies. Through his research, he has contributed to enhancing urban economic efficiency by exploring the potential of smart city development. His insights into digital economy integration and smart energy have been acknowledged in major international journals, helping to advance policies and strategies related to technology and regional economic development. His participation in global trade, economic cooperation, and AI integration has solidified his influence in both academia and industry.

ACADEMIC CITATIONS AND PUBLICATIONS šŸ“š

Xing has published numerous influential papers in well-respected journals. Notable among them is his SSCI paper in the International Review of Financial Analysis, titled ā€œDigital Economy, Dual Innovation Capability, and Enterprise Labor Productivityā€. His papers are widely cited in top journals, and he has authored and co-authored numerous works that deal with economic productivity, smart city models, and innovative technologies. His patents and edited monographs further attest to his significant academic footprint. He has also authored and edited several important papers, contributing to the broader scientific communityā€™s understanding of digital economies and sustainable development.

HONORS & AWARDS šŸ…

Xing Manjiang has earned various professional honors throughout his career. He is a Senior Member of the Chinese Society of Technology Economics and serves on expert committees such as the China Association of Trade in Services and the Shandong Green and Low-Carbon Expert Committee. His leadership in innovation and technical advancements in smart energy and green development has earned him recognition from both industry and academia.

LEGACY AND FUTURE CONTRIBUTIONS šŸš€

Xingā€™s legacy is built on his pioneering work in integrating digital economy and smart cities with sustainability. As he continues to contribute to the academic field, he aims to further explore the potential of AI and big data in driving economic transformation. His ongoing projects will continue to shape the way we view technological solutions in business and urban development, ensuring his influence endures in the coming decades.

FINAL NOTE āœØ

With a remarkable career marked by deep academic achievements, innovative contributions, and impactful leadership in multiple sectors, Xing Manjiang has solidified his position as a leading academic and researcher in the fields of digital transformation and international trade. His work continues to shape modern understanding and application of artificial intelligence, big data, and smart technologies, paving the way for future breakthroughs that will undoubtedly benefit both academia and industry.

Top Notes PublicationsĀ šŸ“š

Manjiang Xing, Chi Gong, Gyu-Hyen Moon, Xiaohong Ge

    • Title: Digital economy, dual innovation capability and enterprise labor productivity

    • Journal: International Review of Financial Analysis

    • Year: 2025

    • DOI: 10.1016/j.irfa.2025.104005

Manjiang Xing et al.

  • Title: Optimal Scheme Selection Model of Distributed Photovoltaic Consumption in Smart City Based on Gaussian Mixture Model

  • Journal: Journal of Nanoelectronics and Optoelectronics

  • Year: 2024

  • DOI: 10.1166/jno.2024.3575

Manjiang Xing et al.

    • Title: Enhancing urban economic efficiency through smart city development: A focus on sustainable transportation

    • Journal: Computers and Electrical Engineering

    • Year: 2024

    • DOI: 10.1016/j.compeleceng.2023.109058

Xing, Manjiang

    • Title: Power Information System Database Cache Model Based on Deep Machine Learning

    • Journal: Intelligent Automation & Soft Computing

    • Year: 2023

    • DOI: 10.32604/iasc.2023.034750

Manjiang Xing et al.

    • Title: Research on Smart City Competitiveness Model Based on the Integration of Digital Economy and Smart Energy

    • Journal: ė¬“ģ—­ķ†µģƒķ•™ķšŒģ§€ (Korea Citation Index)

    • Year: 2022

    • DOI: 10.29331/JKRAIC.2022.12.22.6.277

Yun Xing | Computer Vision | Best Researcher Award

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Mr. Yun Xing | Computer Vision | Best Researcher Award

Mr. Yun Xing at The First Affiliated Hospital of Xi’an Jiaotong University, China

šŸ‘Øā€šŸŽ“Professional Profile

šŸŽ“ Education and Academic Background

I am currently a second-year Ph.D. student at VI-Lab, Nanyang Technological University (NTU), under the supervision of Prof. Shijian Lu. I received my B.S. degree in Biomedical Engineering and Instrument Science from Zhejiang University in 2021, where I worked under the guidance of Prof. Hong Zhou. Prior to my Ph.D., I completed my Masterā€™s in Artificial Intelligence at NTU (2021ā€“2022). My research interests primarily focus on vision-language pre-training and foundation model adaptation.

šŸ”¬ Research Interests

My research revolves around cutting-edge topics in vision-language pre-training and the adaptation of foundation models. I am particularly interested in methods that enable models to transfer knowledge effectively across different domains, such as few-shot learning, cross-domain adaptation, and improving model robustness in complex vision-language tasks.

šŸ† Achievements and News

In recent years, I have been fortunate to have several papers accepted at top-tier conferences. These include NeurIPS 2024, ECCV 2024, CVPR 2024, and NeurIPS 2023, marking significant milestones in my academic journey. Notably, my work on object hallucination mitigation and segmentation adaptation has received considerable attention in the community.

šŸ… Awards and Honors

Throughout my academic journey, I have received various recognitions for my contributions to research. These include the Outstanding Graduate Award from Zhejiang University in 2021, as well as the Academic Excellence Award (2018, 2019) and Academic Progress Award (2019) from the same institution.

šŸ’» Service and Teaching

As an active member of the academic community, I contribute as a conference reviewer for prominent venues such as CVPR, ICML, ECCV, and NeurIPS 2024, where I was honored to be selected as one of the Top Reviewers at NeurIPS. Additionally, I am involved in teaching and mentoring at NTU. In Spring 2024, I will be assisting with the SC1015: Introduction to Data Science and Artificial Intelligence course.

Jorge Duque | Machine Learning | Global Data Innovation Recognition Award

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Prof Dr. Jorge Duque | Machine Learning | Global Data Innovation Recognition Award

Prof Dr. Jorge Duque at ISLA – Polytechnic Institute of Management and Technology, Portugal

šŸ‘Øā€šŸŽ“ Profiles

šŸ“š Education

Prof. Duque is currently pursuing a post-doctorate at the University of TrĆ”s-os-Montes and Alto Douro (UTAD). He earned his Ph.D. in Computer Science from UTAD (2013-2018), a Masterā€™s in Information and Communication Technologies from ISLA (2008-2009), and a Bachelorā€™s in Information Systems and Multimedia Management from ISLA (2003-2007).

šŸ’» Areas of Expertise

His expertise spans Computer Science, specifically in Information Systems, Computer Engineering, and Data Science for Decision Support Analysis.

šŸ› ļø Technical Skills

Prof. Duque possesses technical skills in Cisco Networking (CCNA1), programming with Visual Studio and SQL Server, and web technologies including Python, C#, .NET MVC, ASP.NET, and CSS. He is also proficient in Data Science techniques such as Machine Learning, Deep Learning, Big Data, and Data Mining.

šŸ¢ Professional Experience

His career includes roles at AXA Insurance, CEA Consulting Services, LCA – IT, Inforporto Lda, and Geada & Babo, Lda. He served as an IT Trainer and Coordinator at the IEFP and was the Coordinator for Economic Affairs at the Municipality of BaiĆ£o before joining ISLA as a Professor and Researcher in 2018.

šŸ‘Øā€šŸ« Leadership Roles

Prof. Duque has held several leadership positions, including Coordinator of the Postgraduate Program in Analytics and Business Data Science, Coordinator of the Bachelor’s in Computer Science for E-commerce, and Chair of the Pedagogical Council at the School of Technology.

šŸ“… International Conference Participation

He has actively participated in international conferences such as iSCSI, where he served as Workshop Chair and Reviewer. He has also been involved with CENTERIS and ICITS, reviewing papers for various sessions.

šŸ“– Teaching Experience

Prof. Duque has been an Adjunct Professor at ISLA since 2018, teaching courses in Computer Science and Management, and has served as an Assistant Professor at LusĆ³fona University since 2021.

šŸ§‘ā€šŸ« Professional Development

His ongoing professional development includes advanced training in Python for Data Science and courses on developing pedagogical competencies for distance education.

šŸ“–Ā  Top Noted Publications
Data Mining for Knowledge Management
  • Author: Duque, J.
    Journal: Procedia Computer Science
    Year: 2024
Data Science with Data Mining and Machine Learning: A Design Science Research Approach
  • Author: Duque, J., Godinho, A., Moreira, J., Vasconcelos, J.
    Journal: Procedia Computer Science
    Year: 2024
Blockchain Technologies: A Scrutiny into Hyperledger Fabric for Higher Educational Institutions
  • Author: Dias, P., GonƧalves, H., Silva, F., Martins, J., Godinho, A.
    Journal: Procedia Computer Science
    Year: 2024
Business Intelligence and the Importance of Data Processing
  • Author: Duque, J.
    Journal: Lecture Notes in Networks and Systems
    Year: 2024
The Importance of Big Data and IoT in Smart Cities
  • Author: Duque, J.
    Journal: Lecture Notes in Networks and Systems
    Year: 2024
Data Mining Applied to Knowledge Management
  • Author: Duque, J., Silva, F., Godinho, A.
    Journal: Procedia Computer Science
    Year: 2023
The IoT to Smart Cities: A Design Science Research Approach
  • Author: Duque, J.
    Journal: Procedia Computer Science
    Year: 2023

Gebeyehu Belay Gebremeskel | Machine Learning | Editorial Board Member

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Assoc Prof Dr. Gebeyehu Belay Gebremeskel | Machine Learning | Editorial Board Member

Assoc Prof Dr. Gebeyehu Belay GebremeskelĀ  at Ā Bahir Dar University, Ethiopia

šŸ‘Øā€šŸŽ“ Profiles

šŸŒŸ Early Academic Pursuits

Dr. Gebeyehu Belay Gebremeskelā€™s academic journey began at Alemaya University in Dire Dawa, Ethiopia, where he earned his Bachelor of Science in Computer Science in July 1991. His quest for advanced knowledge led him to London South Bank University in England, where he completed a Master of Science in Advanced Information Technology in January 2001. Under the guidance of Professor Ddembe Williams, he delved into System Dynamics Modeling and Decision Science. Dr. Gebremeskelā€™s pursuit of deeper expertise continued with a Ph.D. from Chongqing University in China, culminating in June 2013. His dissertation, supervised by Professor Zhongshi He, focused on the integration of Data Mining Algorithms and Multi-Agent Systems with Business Intelligence.

šŸ’¼ Professional Endeavors

Dr. Gebeyehuā€™s professional career is distinguished by his impactful roles at Bahir Dar Universityā€™s Institute of Technology. As an Associate Professor, he has been instrumental in program accreditation, international conference organization, and curriculum development. His expertise has been further honed through a postdoctoral fellowship at Chongqing Universityā€™s College of Automation, focusing on machine learning, big data analytics, and intelligent systems. His commitment to excellence is reflected in his contributions to academic and research training, including programs in GIS, web design, and networking.

šŸ”¬ Contributions and Research Focus

Dr. Gebeyehuā€™s research spans several cutting-edge areas within computer science and engineering. His work in Big Data Analytics emphasizes optimization and precision in performance. In Artificial Intelligence and Machine Learning, he explores neural networks, genetic algorithms, and support vector machines, contributing to advancements in intelligent systems and fault diagnosis. His research in Data Mining includes pattern recognition, outlier detection, and intelligent data systems. Additionally, his focus on Intelligent Systems and Agent Technology involves developing algorithms for multi-agent systems and enhancing system intelligence.

šŸ† Accolades and Recognition

Dr. Gebeyehu has received significant recognition for his contributions to academia and research. His roles as conference co-chair and technical program chair for international events like ICAST 2018, 2019, and 2020 highlight his leadership and influence in the field. His research publications in renowned journals, such as the International Journal of Data Science and Analytics, further underscore his impact. His work on big data analytics and neural network models has been widely acknowledged and respected within the academic community.

šŸŒ Impact and Influence

Dr. Gebeyehuā€™s influence extends across both academic and practical domains. His research has advanced knowledge in intelligent transportation systems and smart environments. His curriculum development and program accreditation efforts at Bahir Dar University have elevated the quality of education and research opportunities. By mentoring postgraduate students and leading international workshops, Dr. Gebeyehu has significantly impacted the field of computer science and engineering, shaping the future of many students and researchers.

šŸŒŸ Legacy and Future Contributions

Dr. Gebeyehu Belay Gebremeskelā€™s legacy is marked by his pioneering research, extensive teaching experience, and leadership in academia. His contributions to machine learning, big data analytics, and intelligent systems have set a high standard in the field. As he continues to explore new research avenues and educational initiatives, Dr. Gebeyehu is poised to make further advancements and impact future generations of researchers and practitioners. His dedication ensures that his influence will be felt long into the future.

šŸ“– Publications

Architecture and optimization of data mining modeling for visualization of knowledge extraction: Patient safety care

Duc Cong Nguyen | Machine Learning and AI Applications | Best Researcher Award

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Mr. Duc Cong Nguyen | Machine Learning and AI Applications | Best Researcher Award

Mr. Duc Cong Nguyen at Silesian University of Technology, Poland

šŸ‘Øā€šŸŽ“ Profiles

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Research Gate Profile

šŸ§‘ā€šŸŽ“ Duc Cong Nguyen: PhD Student and Structural Health Monitoring Specialist

šŸ“š Education

  • PhD Student (2020 – 2024)
    Silesian University of Technology, Faculty of Civil Engineering, Gliwice, Poland
    (Supported by NAWA Polish government and Vietnamese government)

šŸ”¬ Professional Experience

  • PhD Research: Developing and applying vibration-based structural health monitoring (SHM) techniques for railway steel arch bridges using advanced AI models and signal processing methods.
  • Consultancy: Contributing to SHM projects for the Dębica railway steel arch bridge in Poland.
  • Previous Experience: Over a decade of expertise in bridge structural testing and pile testing in Vietnam.

šŸ” Research Interests

  • AI and Machine Learning šŸ¤–
  • Structural Health Monitoring (SHM) šŸ—ļø
  • Bridges and Railway Bridges šŸš‰
  • Vibration Measurement and Diagnostic Load Testing šŸ“

šŸ’” Key Contributions

  • Innovated advanced signal processing techniques for SHM, including wavelet transforms and FFT algorithms.
  • Developed GoogLeNet CNN models for classification and pattern recognition of bridge vibration signals.
  • Conducted analyses of historical dynamic responses using FFT techniques to estimate tension forces in bridge components.

šŸ“– Publications

Structural Health Monitoring for Dębica Railway Steel Arch Bridge in Poland
    • Authors: Duc Cong Nguyen, Marek Salamak, Andrzej Katunin, Grzegorz Poprawa
    • Journal: Civil and Environmental Engineering Reports
    • Year: 2024
Vibration-based SHM of Railway Steel Arch Bridge with Orbit-Shaped Image and Wavelet-Integrated CNN Classification
    • Authors: Duc Cong Nguyen, Marek Salamak, Andrzej Katunin, Grzegorz Poprawa, Michael Gerges
    • Journal: Engineering Structures
    • Year: 2024
Vibration-based SHM of Dębica Railway Steel Bridge with Optimized ANN and ANFIS
    • Authors: Duc Cong Nguyen, Marek Salamak, Andrzej Katunin, Grzegorz Poprawa, Piotr Przystałka, Mateusz Hypki
    • Journal: Journal of Constructional Steel Research
    • Year: 2024
Finite Element Model Updating of Steel Bridge Structure Using Vibration-Based Structural Health Monitoring System: A Case Study of Railway Steel Arch Bridge in Poland
    • Authors: Duc Cong Nguyen, Marek Salamak, Andrzej Katunin, Grzegorz Poprawa
    • Journal: Experimental Vibration Analysis for Civil Engineering Structures: EVACES. Lecture Notes in Civil Engineering (433)
    • Year: 2023

Julia Coleene | Machine Learning and AI Applications | Best Researcher Award

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Ms. Julia Coleene, Machine Learning and AI Applications, Best Researcher Award

Ms. Julia Coleene at Panggoy MapĆŗa Malayan Colleges Mindanao, Philippines

Professional Profile

Scopus Profile

šŸŒŸSummary

Julia Coleene B. Panggoy is a dedicated third-year Bachelor of Science in Computer Science student at MapĆŗa Malayan Colleges Mindanao. She possesses strong skills in Google Suite and Microsoft 365 Office Suite, with proficiency in programming languages such as Java, Python, C++, JavaScript, CSS, and HTML. Julia is known for her excellent verbal and written communication skills, attention to detail, and organizational prowess. She also has basic graphic design abilities using Canva.

šŸŽ“Education

Julia is currently pursuing her Bachelor’s degree in Computer Science at MapĆŗa Malayan Colleges Mindanao. Prior to this, she completed her Senior High School education in the STEM track at San Pedro College Basic-Education Department.

šŸ’¼ Professional Experience

Julia has gained valuable leadership experience as the External Vice-President of the College Department Student Organization at MapĆŗa Malayan Colleges Mindanao. She has also served as the Community Extension Head within the same organization, showcasing her commitment to community service and organizational development.

šŸ”¬ Research Interests

Julia’s academic achievements include consistent recognition on the Presidentā€™s List at MapĆŗa Malayan Colleges Mindanao and earning High Honors during her tenure at San Pedro College Basic-Education Department. She actively contributes to campus life and student governance, reflecting her dedication to academic excellence and extracurricular engagement.

šŸ“– Publication Top Noted

  • LAKBAYAN: A Travel-Social Itinerary Application with Derived Enhanced Simulated Annealing, 2024

Hend ALnajjar | Artificial Intelligence | Best Researcher Award

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Assoc Prof Dr. Hend ALnajjar, Artificial Intelligence, Best Researcher Award

Assoc Prof Dr. Hend ALnajjar at king Saud bin Abdulaziz for health science, Saudi Arabia

Professional Profile

Scopus Profile
Orcid Ā Profile
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šŸŒŸSummary

Dr. Hend Abdu Alnajjar is an accomplished Associate Professor in Pediatric Nursing at the College of Nursingā€“Jeddah, King Saud bin Abdulaziz University for Health Sciences. With a robust educational background including a Ph.D. in Nursing from Manchester University and extensive experience in nursing education, she specializes in maternal and child health, healthcare quality, and academic leadership.

šŸŽ“Education

  • Doctor of Philosophy in Nursing, Manchester University, UK (November 2012)
  • MSc in Advanced Nursing Studies, Manchester University, UK (November 2008)
  • Master of Medical Education, College of Medicine, King Saud bin Abdulaziz University for Health Sciences (2017-2019)
  • Bachelor of Science in Nursing, King Abdulaziz University, Jeddah, KSA (September 2000)

šŸ’¼ Professional Experience

Dr. Hend Abdu Alnajjar brings a wealth of expertise as an Associate Professor in Pediatric Nursing at the College of Nursingā€“Jeddah, King Saud bin Abdulaziz University for Health Sciences. With a distinguished career spanning leadership roles such as Dean of the College of Nursing ā€“ Jeddah and Associate Dean of Academic & Student Affairs, she has significantly contributed to advancing nursing education and healthcare quality in Saudi Arabia. Dr. Alnajjar’s leadership extends to extensive involvement in accreditation processes, curriculum development, and quality assurance initiatives, enhancing educational standards across multiple institutions. Her commitment to maternal and child health is underscored by her clinical background in neonatal intensive care units, further enriching her academic and practical contributions to the nursing profession.

šŸ”¬ Research Interests

Dr. Hend Abdu Alnajjar’s research interests are focused on pivotal areas within nursing and healthcare. Her primary scholarly pursuits revolve around maternal and child health, where she explores innovative approaches to improve healthcare outcomes for mothers and children. Additionally, her research encompasses nursing education, aiming to enhance teaching methodologies and curriculum frameworks to foster competent nursing professionals. Dr. Alnajjar is also passionate about healthcare quality, investigating strategies to optimize patient care delivery and safety within clinical settings. Her academic leadership in these domains reflects a commitment to advancing nursing practice and education both locally and globally.

šŸ“– Publication Top Noted

Article title: Digital proficiency: assessing knowledge, attitudes, and skills in digital transformation, health literacy, and artificial intelligence among university nursing students

    • Authors: Ebtsam Aly Abou Hashish, Hend Alnajjar
    • Journal: BMC Medical Education
    • Volume: 24
    • Pages: 508
    • Year: 2024

Article title: Perception of the accreditation of the National Commission for Academic Accreditation and assessment at different health colleges in Jeddah, Saudi Arabia

    • Authors:Ali S Al-Shareef, Mansour A AlQurashi, Azza Al Jabarti, Hend Alnajjar, Ahmad A Alanazi, Mohamed Almoamary, Bader Shirah, Khalid Alqarni
    • Journal: Cureus
    • Volume: 15
    • Year: 2023

Article title: Managerial power bases and its relationship to influence tactics and conflict management styles: Bedside nurses’ perspective

    • Authors: Ebtsam Abou Hashish, Hend Alnajjar, Arwa Al Saddon
    • Journal: Worldviews on Evidenceā€Based Nursing
    • Volume: 20
    • Issue: 5
    • Year: 2023

Article title: Exploring the relationship between leadership and conflict management styles among nursing students

    • Authors: Hend Alnajjar, Ebtsam Abou Hashish
    • Journal: Nursing management
    • Volume: 29
    • Issue: 3
    • Year: 2022

Article title: Academic ethical awareness and moral sensitivity of undergraduate nursing students: assessment and influencing factors

    • Authors: Hend Abdu Alnajjar, PhD, Ebtsam Aly Abou Hashish, PhD
    • Journal: SAGE open nursing
    • Volume: 7
    • Year: 2021