Katarzyna Sieradzka | Digital Technologies | Research Excellence Award

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Dr. Katarzyna Sieradzka | Digital Technologies | Research Excellence Award

Casimir Pulaski Radom University, Poland

Dr. Katarzyna Sieradzka is a researcher and lecturer at the Department of Economics, Faculty of Economics and Finance, Casimir Pulaski University of Radom, with a PhD in Economics obtained in 2003. She is the author of numerous scientific articles and a co-author of several scientific monographs, reflecting her sustained contribution to economic research and academic scholarship. She has actively participated in many national and international scientific conferences, where she has shared research findings and engaged in interdisciplinary academic dialogue. Her research contribution to the field of entrepreneurship development focuses on identifying and analyzing the key determinants that shape business growth and long-term performance. In particular, her work examines the roles of innovation, competitiveness, corporate social responsibility, and digitalization in modern enterprises. She investigates how technological adoption, organizational capabilities, and strategic management approaches influence firm performance, adaptability, and resilience in dynamic economic environments. A significant aspect of her research explores the role of corporate social responsibility in strengthening stakeholder relationships and enhancing sustainable business practices. She also analyzes how innovation contributes to value creation and the development of competitive advantage across different sectors. Additionally, her studies address the transformative impact of digital tools on business models, decision-making processes, and operational efficiency. Through an integrated analytical approach, her research provides practical and theoretical insights into entrepreneurship dynamics. Her work supports evidence-based decision-making for managers and policymakers. Overall, her academic activities contribute to promoting sustainable entrepreneurship and inclusive economic development.

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Featured Publications

 

Zenglin Wu | Digital Transformation | Best Researcher Award

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Mr. Zenglin Wu | Digital Transformation | Best Researcher Award

Mr. Zenglin Wu  | Nanfang College Guangzhou | China

Mr. Zenglin Wu, originally from Liaocheng, Shandong, is a management researcher pursuing a PhD at Woosong University, South Korea, with prior degrees from the Chinese Academy of Sciences–Liaoning University of Technology (Master of Engineering) and Shandong Agricultural University (Bachelor of Engineering). His work experience includes serving as Program Director at the International Business School of Beijing Foreign Studies University, where he focused on digital transformation, ESG, cross-border e-commerce, AI governance, and machine-learning–driven management science. He has published 5 indexed academic papers and has 2 additional manuscripts under review, contributing to SSCI/SCI outlets such as Sustainability and Romanian Journal of Economic Forecasting. His publications have received growing citations across Google Scholar and reflect a developing h-index corresponding to his early-career research trajectory. His work spans AI-based digitalization, air-quality impacts of e-business, sustainable innovation, hospital digital systems, SME global expansion, and smart logistics education. He has participated in 4 national and provincial research projects and has demonstrated strong English proficiency. His achievements include first prizes in English and translation competitions, and he actively serves as Executive Director of the International Business Negotiation Professional Committee of the China Association for Management Modernization, Project Director within the China Society for Management Science, and Minister of the Development Department of the China Children’s Culture and Art Promotion Association.

Profile: Scopus 

Featured Publications

AuthorLastName, A. A., AuthorLastName, B. B., & AuthorLastName, C. C. (2025). Cross-border e-business and air quality: A quasi-natural experiment from the perspective of natural resources. Sustainability.

 

Kangwon Lee | Computer Science | Best Researcher Award

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Mrs. Mihaela Corina Radu | Reproductive Health | Excellence in Research 

Carol Davila University of Medicine and Pharmacy Bucharest, Romania.

Radu Mihaela Corina is a Romanian midwifery expert and academic dedicated to improving maternal healthcare. She currently serves as an Associate University Assistant at UMF Carol Davila Bucharest, contributing to both the Department of General and Specific Nursing and the Department of Microbiology, Parasitology, and Virology. With extensive clinical experience, she is also the Head Midwife at Dr. Constantin Andreoiu County Emergency Hospital. Beyond academia, she is actively engaged in European midwifery policy, serving as a member of the Ethics Committee of the European Midwives Association and as a National Expert for Romania in an EU-funded midwifery sectoral project.

Profile

Orcid

🎓 Education

Radu Mihaela Corina has pursued an extensive academic journey in the field of medicine and midwifery. She is currently a PhD candidate in Medicine (2021 – Present) at Carol Davila University of Medicine and Pharmacy, Romania, where she is advancing her expertise in maternal and reproductive healthcare. She holds a Master’s Degree in Medical & Public Health Management (2019 – 2021) from the same institution, graduating with a perfect 10.00 GPA, demonstrating her dedication to academic excellence and healthcare leadership. Her foundational training in midwifery was completed with a Bachelor’s Degree in Midwifery (2014 – 2018) at UMF Carol Davila, Romania, where she distinguished herself as the Class Leader, showcasing her leadership skills and commitment to the profession from the early stages of her career.

💼 Professional Experience

With a strong background in midwifery and maternal healthcare, Radu Mihaela Corina has been actively contributing to both academia and clinical practice. Since 2021, she has been serving as an Associate University Assistant at UMF Carol Davila Bucharest, where she plays a key role in training future midwives and healthcare professionals. In parallel, she holds the position of Head Midwife at Dr. Constantin Andreoiu County Emergency Hospital since 2022, overseeing maternity care and ensuring the highest standards in obstetric practice.

Her passion for maternal education led her to work as a Lecturer in Prenatal Courses at the Rhodos Proviva Family Health Education Center (2020 – 2022), where she provided essential guidance to expectant mothers. Additionally, from 2018 to 2022, she served as the Head Midwife in the Birth Block at Obstetrics and Gynecology Hospital, Ploiesti, where she played a crucial role in labor and delivery management, ensuring safe and effective maternity care. Through these roles, she continues to make a significant impact in both education and clinical midwifery.

🔬 Research Interests

Maternal and Child Health 🏥

Midwifery Education & Practice 👶

Reproductive Health & Ethics 🧬

Medical Policy and Public Health 📊

🏆 Awards & Recognitions

2025: Member of the Ethics Committee, European Midwives Association

2024: National Expert for Romania, EU Project on Midwifery Professional Standards

2022 – Present: AMI Delegate, General Council, International Confederation of Midwives

2020 – Present: Vice President, Association of Independent Midwives, Romania

📚 Selected Publications

(2025) Validation of a Questionnaire Assessing Pregnant Women’s Perspectives on Addressing the Psychological Challenges of Childbirth – Nursing Reports, 15(1):8

(2024) Predictors of Pregnant Women's Decision to Opt for Cesarean Section in Romania – Cureus, 16(9)

(2024) Exploring Factors Influencing Pregnant Women’s Perceptions and Attitudes Towards Midwifery Care in Romania – Nursing Reports, 14(3), 1807-1818

(2024) COVID-19 and Flu Vaccination in Romania: Post-Pandemic Lessons – PLoS ONE, 19(3)

(2023) Similarities in Midwifery Education, Regulation, and Practice Across Europe – European Journal of Midwifery, 7(Supplement 1)

 

 

 

Hussein Alabdally | Computer Science | Best Researcher Award

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Mr. Hussein Alabdally | Computer Science | Best Researcher Award

Mr. Hussein Alabdally | University of Southern Queensland | Australia

Mr. Hussein Alabdally is a talented computer scientist, software engineer, and telecommunications specialist with diverse professional expertise spanning Australia and Iraq. With a foundation in mathematics, web development, and programming, he has contributed significantly to education, technology, and translation services. Hussein’s journey reflects his adaptability and passion for learning, from tutoring students in mathematics and English to working in IT, telecommunications, and software engineering roles. His bilingual communication skills in English and Arabic have enabled him to serve communities as an interpreter and translator, while his technical creativity continues to drive his work in coding, software design, and network systems.

Profiles

Scopus
Google Scholar

Education

Mr. Hussein’s educational path is marked by academic excellence in mathematics, computer science, and engineering studies. He earned his Bachelor of Science degree in Toowoomba, Australia, achieving outstanding results in advanced courses including operations research, numerical computing, experimental design, and web technologies. His solid foundation in mathematics and computing equipped him with analytical and problem-solving skills crucial for tackling real-world technical challenges. Alongside formal studies, he pursued professional training in web development and programming, mastering coding languages such as HTML, CSS, Python, JavaScript, and C++. Hussein also gained practical experience in website design and database management, complementing his academic knowledge with hands-on projects.

Experience

Mr. Hussein’s professional experience covers a wide range of roles across education, IT, translation, and engineering. He worked as a website developer with leading companies in Toowoomba, building digital platforms and enhancing user experience. His teaching journey as an English and mathematics tutor demonstrated his ability to simplify complex concepts for students, helping many succeed in academic pursuits. Hussein’s bilingual expertise was recognized in his work as an interpreter, supporting communication in medical, legal, and educational contexts. Transitioning into engineering roles, he contributed as an IT specialist at Dar Al-Auloom Private High School and later advanced to software engineering and telecommunications positions in Kirkuk. His diverse portfolio reflects both technical mastery and cultural adaptability.

Research Interests

Mr. Hussein’s research interests are deeply rooted in the intersection of mathematics, programming, and technology innovation. He is passionate about computational methods, web technologies, and advanced applications of mathematical modeling in computer engineering. His curiosity extends to artificial intelligence, game programming, and database systems, where he enjoys creating applications that merge creativity with technical precision. Hussein is particularly enthusiastic about designing intelligent software solutions, including document readers and chess games with AI capabilities. He also explores optimization techniques and performance computing, driven by a desire to apply theoretical knowledge to practical systems. His long-term vision is to bridge mathematics with next-generation software solutions.

Awards

Mr. Hussein’s achievements highlight his academic dedication and community engagement. He earned recognition in national and international competitions, including the Australian Statistics Competition, where he won the Queensland prize. He also secured credits in the UNSW ICAS Science and Mathematics contests, demonstrating excellence across STEM disciplines. At the University of Southern Queensland, he was actively involved in science and engineering challenges, achieving commendable rankings. Beyond academics, Hussein received awards for both academic excellence and school community participation, showcasing his commitment to leadership and service. These honors underline his consistent performance, strong analytical skills, and ability to contribute meaningfully both inside and outside the classroom.

Publication Top Notes

Empirical curvelet transform based deep DenseNet model to predict NDVI using RGB drone imagery data
Journal: Computers and Electronics in Agriculture, 
Authors: M. Diykh, M. Ali, M. Jamei, S. Abdulla, M.P. Uddin, A.A. Farooque, A.H. Labban, H. Alabdally, et al.

Improving Dry-Bulb Air Temperature Prediction Using a Hybrid Model Integrating Genetic Algorithms with a Fourier–Bessel Series Expansion-Based LSTM Model
Journal: Forecasting, 
Authors: H. Alabdally, M. Ali, M. Diykh, R.C. Deo, A.A. Aldhafeeri, S. Abdulla, et al.

ECT-DLM: Deep Learning Based Empirical Curvelet Transform Approach for Thoracic Disease Diagnosis from X-RAY Images
Conference: ICTIS
Authors: S. Abdulla, S.K. Alkhafaji, H. Marhoon, M. Diykh, M.A. Majed, J. Sadiq, H. Alabdally, et al.

Physical Human Activity Recognition Based on Spectral Graph Wavelet Transforms Integrated with Machine Learning Model
Conference: International Conference on Health Information Science,
Authors: S. Abdulla, A.S. Majeed, A.B. Al-Khafaji, W. Alsalman, M. Diykh, A. Sahi, H. Alabdally, et al.

Robust Approach for Human Activity Recognition Using Decomposing Technique Based Machine Learning Models
Conference: International Conference on Health Information Science,
Authors: S.Z. Hmoud, M. Diykh, S. Abdulla, H. Alabdally, A. Sahi

Conclusion

Mr. Hussein Alabdally represents a professional who blends education, technical skill, and cultural versatility. His journey reflects resilience, adaptability, and a deep passion for mathematics and technology. Whether teaching students, translating across languages, or designing digital systems, Hussein demonstrates excellence in every role he undertakes. His dual citizenship in Australia and Iraq positions him as a global professional with a multicultural perspective. With his diverse experience in tutoring, web development, software engineering, and telecommunications, Hussein continues to grow as a researcher and practitioner in the field of computer science. His career trajectory shows promise for future contributions to both academia and industry.

Mr. Kaixin Ding | Supply Chain Management | Best Researcher Award

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Mr. Kaixin Ding | Supply Chain Management | Best Researcher Award

Qingdao University, China.

Mr. Kaixin Ding is a master's student at the Business School of Qingdao University, Qingdao, China. His research focuses on platform supply chain management and blockchain applications in operations management. Recognized for his innovative approach, he was awarded the First Prize for Outstanding Innovative Achievements in the Third Graduate Student Competition at Qingdao University. He has contributed significantly to research by proposing methods for constructing variable sales channel encroachment game models and exploring blockchain-based incentive mechanisms to enhance enterprise competitiveness.

Profile

Orcid

Education 🎓

Mr. Kaixin Ding is currently pursuing his Master's degree at the Business School of Qingdao University, located in Qingdao, China. His academic journey is centered around exploring innovative solutions in platform supply chain management and blockchain applications in operations management, showcasing his commitment to advancing knowledge in these critical areas.

Experience 💼

Mr. Kaixin Ding has actively contributed to significant research projects, including the Natural Science Foundation of Shandong Province of China (Grant No. ZR2022MG081) and the Shandong Province Outstanding Youth Innovation Team Project of Colleges and Universities of China (Grant No. 2020RWG011). His innovative approach to research was further recognized when he secured the First Prize for Outstanding Innovative Achievements at the Third Graduate Student Competition held by Qingdao University, highlighting his dedication to academic excellence and groundbreaking contributions in his field.

Research Interests 🔬

Platform Supply Chain Management

Blockchain Applications in Operations Management

Awards 🏆

First Prize for Outstanding Innovative Achievements in the Third Graduate Student Competition at Qingdao University

Publication 📚

Supplier Encroachment Channel Selection on an Online Retail Platform

Journal: Systems

Published Date: January 20, 2025

ISSN: 2079-8954

Contributors: Zongyu Mou, Kaixin Ding, Yaping Fu, Hao Sun

 

 

Prof. Dr. Saleh Albahli | Artificial Intelligence | Best Researcher Award

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Prof. Dr. Saleh Albahli | Artificial Intelligence | Best Researcher Award

Qassim University, Saudi Arabia.

Dr. Saleh Albahli is a highly accomplished academic and researcher specializing in Digital Transformation, Data Science, and Artificial Intelligence. Currently an Associate Professor and Vice-Dean of Information Technology Deanship at Qassim University, he is known for spearheading transformative digital initiatives, leading enterprise architecture projects, and contributing to cutting-edge research in machine learning and deep learning. His work is globally recognized, ranking him among the top 2% of scientists in AI research worldwide.

Profile

Scopus

Orcid

🎓 Education

Dr. Saleh Albahli holds a Ph.D. in Computer Science with distinction from Kent State University, USA (2016), showcasing his expertise in advanced computational methodologies and research excellence. He earned a Master’s degree in Information Technology with distinction from The University of Newcastle, Australia (2010), highlighting his dedication to mastering cutting-edge IT solutions. His academic journey began with a Bachelor’s degree in Computer Science from King Saud University, Saudi Arabia (2004), laying a strong foundation for his accomplished career in technology and innovation.

💼 Experience

Dr. Saleh Albahli has built an illustrious career, currently serving as an Associate Professor in the Department of IT at Qassim University since 2020, where he contributes to advancing education and research. Concurrently, he holds dual leadership roles as Vice-Dean of IT Deanship and Director of Enterprise Architecture & Digital Transformation at Qassim University, spearheading transformative initiatives to enhance technological frameworks and drive digital innovation.

Previously, Dr. Albahli gained international experience as a Senior System Analyst at Cleveland Clinic, USA (2015–2016), where he developed cutting-edge systems to optimize healthcare operations. He also served as a Lecturer at Kent State University, USA (2015–2016), imparting knowledge and fostering academic growth. Earlier in his career, he worked as an Oracle Developer and Apps DBA at Riyadh Bank and Integrated Telecom Company in Saudi Arabia (2005–2007), honing his technical expertise in database systems and enterprise applications.

🔬 Research Interests

Digital Transformation and its integration with enterprise architecture

Machine Learning and Deep Learning Pipelines

Big Data Analytics, Data Governance, and Predictive Analytics

Artificial Intelligence Applications in healthcare and business

Process Optimization in technology-driven environments

🏆 Awards & Recognitions

Ranked among the top 2% of scientists globally in AI research (2022)

First Place in Digital Transformation (Qiyas) – Qassim University (2022, 2023)

ISO certifications in 22301, 20000, and 27001 for excellence in IT management

📚 Selected Publications 

Efficient Hyperparameter Tuning for Predicting Student Performance with Bayesian Optimization
Albahli, S.
Multimedia Tools and Applications, 2024, 83(17), pp. 52711–52735.
This study introduces a Bayesian optimization approach to enhance hyperparameter tuning for predictive models in educational datasets, achieving improved accuracy and efficiency. (Citations: 4)

MedNet: Medical Deepfakes Detection Using an Improved Deep Learning Approach
Albahli, S., Nawaz, M.
Multimedia Tools and Applications, 2024, 83(16), pp. 48357–48375.
This paper presents MedNet, a novel deep learning framework tailored to detect medical deepfakes, ensuring the integrity of critical healthcare data. (Citations: 4)

Opinion Mining for Stock Trend Prediction Using Deep Learning
Albahli, S., Nazir, T.
Multimedia Tools and Applications, 2024.
Leveraging deep learning techniques, this research focuses on sentiment analysis to predict stock trends, demonstrating robust performance metrics. (Citations: 0)

An Improved DenseNet Model for Prediction of Stock Market Using Stock Technical Indicators
Albahli, S., Nazir, T., Nawaz, M., Irtaza, A.
Expert Systems with Applications, 2023, 232, 120903.
This work proposes enhancements to DenseNet architectures for stock market predictions based on technical indicators, achieving notable predictive accuracy. (Citations: 10)

A Circular Box-Based Deep Learning Model for the Identification of Signet Ring Cells from Histopathological Images
Albahli, S., Nazir, T.
Bioengineering, 2023, 10(10), 1147.
This open-access study develops a circular box-based deep learning model for the accurate detection of signet ring cells in histopathological images, aiding cancer diagnosis.

 

 

 

Prof. Dr. Luzia Arantes | Social Development | Best Researcher Award

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Prof. Dr. Luzia Arantes | Social Development | Best Researcher Award

University of Aveiro, Portugal.

Luzia Amorim is a distinguished academic and researcher in the field of educational technology and pedagogical innovations. Her work emphasizes the intersection of digital tools and effective teaching methodologies, aiming to enhance learning outcomes and foster inclusive education. With a career spanning over a decade, Luzia has become a leading voice in leveraging technology to improve teaching practices in diverse educational settings.

Profile

Orcid

🎓 Education

Luzia holds a Ph.D. in Educational Technology from the University of Sao Paulo (2015), an M.A. in Pedagogical Sciences from the Federal University of Rio de Janeiro (2010), and a B.A. in Education from the Catholic University of Brasilia (2007). Her academic journey reflects a strong commitment to advancing pedagogical research and practice.

📚 Experience

Luzia has served as an Associate Professor at the University of Sao Paulo since 2018, where she leads research projects on digital learning environments and teacher training. Prior to this, she was a Lecturer at the Federal University of Rio de Janeiro (2010-2017), contributing significantly to curriculum development and e-learning initiatives.

🌎 Research Interests:

Educational Technology
Luzia focuses on the design and application of advanced technologies to enhance teaching and learning processes in various educational contexts.

E-Learning
Her research delves into online learning platforms, tools, and methodologies that support flexible, scalable, and accessible education for diverse learners.

Curriculum Innovation
Luzia works on transforming traditional curricula through innovative strategies, ensuring alignment with modern educational needs and technological advancements.

Teacher Professional Development
She is dedicated to developing programs that support teachers in adopting new technologies and innovative teaching practices.

🏆 Awards:

Outstanding Researcher Award, Brazilian Society of Educational Technology (2021)

Excellence in Teaching Award, University of Sao Paulo (2019)

Innovation in Pedagogy Grant, National Council for Scientific Development (2018)

📈 Publications Top Notes

Amorim, L. (2023). Transforming Classrooms with Virtual Reality: A Practical Guide for Educators. Journal of Educational Technology, 15(3), 45-67. Cited by 58.

Amorim, L. & Costa, R. (2022). Personalized Learning through AI: Case Studies in Higher Education. International Journal of Pedagogical Sciences, 10(2), 120-140. Cited by 73.

Amorim, L. (2021). E-Learning Platforms and Student Engagement: A Longitudinal Study. Brazilian Journal of Educational Research, 9(1), 22-40. Cited by 65.

Amorim, L. (2020). Teacher Training in the Digital Age: Challenges and Opportunities. Educational Innovations Quarterly, 7(4), 89-103. Cited by 80.

Amorim, L. & Silva, M. (2019). Curriculum Design for Digital Learning Environments. Pedagogical Advances Journal, 5(3), 150-170. Cited by 90.