Shaymaa Sorour | Artificial Intelligence | Best Researcher Award

Published on by Research Data Analysis

Dr. Shaymaa Sorour | Artificial Intelligence | Best Researcher Award

King Faisal University | Saudi Arabia

Dr. Shaymaa E. Sorour is an Assistant Professor of Computer Science specializing in Artificial Intelligence, Machine Learning, Deep Learning, and Optimization, with a strong focus on educational technologies and intelligent learning systems. She earned her Ph.D. in Computer Science from Kyushu University, Japan (2016), following an M.Sc. in Computer Education and a B.Sc. in Computer Teacher Preparation with honors. Dr. Sorour has extensive academic experience across teaching, research, quality assurance, and academic advising, serving in faculty roles at King Faisal University, Saudi Arabia, and Kafrelsheikh University, Egypt. Her research integrates data mining, learning analytics, student performance prediction, adaptive and intelligent educational systems, and technology-enhanced learning, with publications in leading international journals and conferences. She has actively contributed to global scholarly communities through sustained participation in IEEE, LNCS, and international education and AI venues. Her scholarly impact includes 486 citations, 49 documents, and an h-index of 11, reflecting consistent contributions to AI in education and learning analytics (486 citations by 441 documents). Among her recognitions, she received a Best Paper Award at an international conference. Dr. Sorour’s work continues to bridge advanced computational intelligence with practical, scalable educational innovation, supporting data-driven decision-making and improved learning outcomes worldwide.

Citation Metrics (Scopus)

800
600
400
200
0

Citations
486

Documents
49

h-index
11

Citations

Documents

h-index



View Scopus Profile
View Orcid Profile
View Google Scholar Profile

Featured Publications

Modafar Ati | Machine Learning and AI Applications | Best Researcher Award

Published on by Research Data Analysis

Assoc. Prof. Dr. Modafar Ati | Machine Learning and AI Applications | Best Researcher Award

Abu Dhabi University | United Arab Emirates

Assoc. Prof. Dr. Modafar Ati is an accomplished academic and researcher in Computer Science and Information Technology with extensive experience in teaching, curriculum development, and leadership. He holds a BSc in Electrical & Communication Engineering and a PhD in Electrical & Computing Engineering from Newcastle upon Tyne, UK. Dr. Ati has over three decades of experience in both academia and industry, serving in senior roles including Associate Professor at Abu Dhabi University, Acting Dean at Sohar University, and Assistant Dean at multiple institutions in Oman. His professional expertise spans software development, systems integration, networking, ICT, project management, Service-Oriented Architecture (SOA), Artificial Intelligence, Big Data, Cybersecurity, and eHealth smart systems. He has published numerous research articles focusing on AI-driven Chronic Disease Management and smart healthcare systems and has led research groups in eGovernment and ICT. Dr. Ati has received multiple grants and awards, including the Chancellor Innovation Award, and serves on editorial boards and as a senior reviewer for international journals and conferences. His teaching portfolio covers programming, network security, project management, human-computer interaction, and mobile application development. Dr. Ati’s contributions to education, research, and innovation reflect a strong commitment to advancing technology-driven solutions in healthcare, smart cities, and digital systems.

Profile : Google Scholar

Featured Publications

Hussein, A. S., Omar, W. M., Li, X., & Ati, M. (2012). “Efficient chronic disease diagnosis prediction and recommendation system” in 2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences, 209–214.

Mohamed, O., Kewalramani, M., Ati, M., & Al Hawat, W. (2021). “Application of ANN for prediction of chloride penetration resistance and concrete compressive strength” in Materialia, 17, 101123.

Mohamed, O. A., Ati, M., & Najm, O. F. (2017). “Predicting compressive strength of sustainable self-consolidating concrete using random forest” in Key Engineering Materials, 744, 141–145.

Hussein, A. S., Omar, W. M., Li, X., & Ati, M. (2012). “Accurate and reliable recommender system for chronic disease diagnosis” in Global Health, 3(2), 113–118.

Ati, M., Kabir, K., Abdullahi, H., & Ahmed, M. (2018). “Augmented reality enhanced computer aided learning for young children” in 2018 IEEE Symposium on Computer Applications & Industrial Electronics.

Talita Ferreira | Data Regulation | Best Researcher Award

Published on by Research Data Analysis

Ms. Talita Ferreira | Data Regulation | Best Researcher Award

University of Salamanca | Spain

Talita Ferreira is an experienced pharmacist and regulatory affairs specialist with over 20 years of expertise in the pharmaceutical industry, leading strategic projects across Latin America, the USA, and Africa. She holds a Master’s degree in Entrepreneurship from the University of São Paulo and is pursuing a PhD in Business Economy at Universidad de Salamanca, with a research focus on healthcare management, organizational strategies, decision-making processes, and knowledge management. Talita has served as CEO and founder of multiple companies, including Avanti Farmacêutica, Pharma Avanti, and Legis Consulting, providing regulatory, quality, and strategic support to pharmaceutical organizations. She has collaborated with global institutions such as the World Health Organization and the International Pharmaceutical Federation, supporting vaccine manufacturing expansion, regulatory compliance, and biowaiver alignment initiatives. Her professional experience spans regulatory submissions, due diligence, GMP inspections, and regulatory intelligence, contributing to product launches, portfolio expansion, and process improvements. Talita combines her industry expertise with academic experience as an assistant professor and facilitator of business simulation games in undergraduate and postgraduate programs. Known for her effective communication, leadership, and problem-solving skills, she is committed to fostering innovation, compliance, and sustainable growth within the pharmaceutical and healthcare sectors.

Profiles: Orcid | Google Scholar

Featured Publications

da Silva Ferreira, T., Pauletti, G. M., Fernandes, E. A. F., Campos, A. F., Aceituno, A., … (2024). “Knowledge-based: facilitating access to medicines in Latin America.”

de Oliveira, L. G., de Souza Marcelino, V., & da Silva Rangel, F. C. (2018). “Perception of chemicals graduates about the adoção of teaching methodologies in a virtual learning.

Ferreira, T. S. (2019). “Technical alignment of collaborators through the management of knowledge.” University of São Paulo.

Ferreira, T. S., Pauletti, G. M., & Vázquez-Suárez, L. (2025). “How the Stakeholders’ Perception Contributes to the Pharmaceutical Strategies: A Regional Case Study in Latin America.

Ferreira, T. S., Pauletti, G. M., Fernandes, E. A., Campos, A. F., Aceituno, A., … (2023). “Knowledge-Based: Strategic Access to Medicines in Latin America.

Jani Grey Kasunda | Government and Public Policy Analysis | Best Researcher Award

Published on by Research Data Analysis

Mr. Jani Grey Kasunda | Government and Public Policy Analysis | Best Researcher Award

 The Parliament Of Malawi | Malawi

Mr. Jani Grey Kasunda is a versatile, creative, and results-driven professional with over 13 years of extensive experience in journalism, communication, research, and program implementation across media, academia, and governance. He holds a Bachelor of Arts in Journalism from the University of Malawi and is currently pursuing a Master’s degree in International Relations at Jinan University, China (expected 2027). His career spans roles as Reporter at Nation Publications Limited, Editor at Matindi FM, Lecturer at the Malawi Institute of Journalism, and currently Editor of Hansard at the Malawi National Assembly. He has made notable contributions to parliamentary communication strategies, public relations, policy document drafting, and information dissemination. His research and professional interests focus on communication strategies, media and governance, information management, public relations, and capacity building for journalists. Kasunda’s work has been recognized with the prestigious Dr. David Livingstone Memorial Awards (2008 and 2010). reflecting his impact in communication and media-related research. With a strong background in writing, editing, teaching, and mentoring, Kasunda continues to influence institutional communication, enhance media professionalism, and strengthen knowledge dissemination. He is committed to advancing impactful communication for development and governance transformation.

Profile : Orcid 

Featured Publication

“China’s global governance strategy and the revival of leftist ideologies in Africa: a constructivist analysis of norm diffusion and political alignment”

Ying Jin | Big Data Analytics | Best Researcher Awards

Published on by Research Data Analysis

Ying Jin | Big Data Analytics | Best Researcher Award

Professor, Nanjing University, China

Profile

 Scopus 

Prof. Jin Ying is a Professor at the Department of Computer Science and Technology, Nanjing University, widely recognized for her leadership and contributions in computer education, data mining, citation analysis, big data, and virtual reality applications. Her career bridges teaching, research, and academic service, reflecting a strong commitment to advancing both theoretical knowledge and practical innovations in the field of computer science. She has served in multiple influential academic and professional roles, helping shape the direction of education and technology integration in China.

Education

Prof. Jin began her academic journey in geochemistry and later transitioned into information management and computer science, bringing an interdisciplinary perspective to her work. She earned her Ph.D. in Management with a specialization in data mining and CSSCI research, which laid the foundation for her impactful contributions in citation analysis, big data, and education technology. Her diverse educational background allows her to integrate cross-disciplinary insights into computer science education and applied research.

Experience

Throughout her career at Nanjing University, Prof. Jin has advanced from teaching assistant to lecturer, associate professor, and eventually full professor. She teaches a wide range of courses including computer applications, Visual Basic, Python, and C programming, with her pedagogy focusing on innovation and practical engagement. Beyond the classroom, she serves as Group Lead of Visual Basic and Secretary of the Center of College Computer Test in Jiangsu Province. She is also an active member of the Computer Education Supervisory Committee (MOE, Liberal Arts), Jiangsu Computer Foundation Education Committee, and the Council on East China University Computer Foundation Education. Additionally, she contributes as a judge for the National College Computer Design Competition and as a peer reviewer for CSSCI-indexed journals.

Research Interests

Prof. Jin’s research integrates education and technology, addressing critical issues such as AI-driven talent training models, programming pedagogy reform in the AI era, flipped classroom strategies, big data course design for non-computer majors, and innovations in youth IT education. She has published widely in international journals and conferences, making significant contributions to the fields of data mining, education reform, and computational thinking. Her authored teaching resources, including College Basic Computer Applications and New Visual Basic Programming, are used across universities and contribute to improving computer education nationwide.

Awards

Prof. Jin’s achievements have been recognized through numerous awards and honors. She received the prestigious First Tan Haoqiang Computer Education Fund Outstanding Teacher Award and Nanjing University’s Shilin Teaching Award, reflecting her excellence in teaching and mentorship. She has also earned multiple best paper awards and nominations at international conferences, alongside prizes for guiding student projects in national-level computer design competitions. These recognitions highlight her dual impact as both a researcher and educator.

Featured Publications

  • Jin, Y. (2024). Exploration of K12 Multi-level Information and AI Talent Training Model.

  • Jin, Y. (2024). Exploration on Teaching Content Reform of Programming Course in the Era of AI.

  • Jin, Y. (2024). A survey of research on several problems in the RoboCup3D simulation environment.

  • Jin, Y. (2023). The Role of Science and Technology Innovation Competition in Talent Cultivation and Development.

  • Jin, Y. (2022). An approach for evaluating course acceptance based on Bayesian network. Int. J. of Intelligent Internet of Things Computing.

  • Jin, Y. (2022). Design and Implementation of a Cloud-Native Platform for Financial Big Data Processing Course.

  • Jin, Y. (2022). Hierarchical and Diverse Cultivation of Data Thinking Capability in College Based on New High School Curriculum Standards.

Conclusion

By combining rigorous scholarship, innovative teaching, and impactful leadership, Prof. Jin Ying has significantly advanced computer education reform and promoted the integration of technology with pedagogy. Her interdisciplinary vision and ability to merge data-driven methods with educational practice have influenced generations of students, equipping them with computational skills essential for the digital age. Through her roles in research, teaching, academic committees, and national projects, she continues to shape the landscape of computer science education in China and beyond, fostering a forward-looking environment that bridges research, practice, and innovation.

Sivasankari Ramalingam | Research article Recommendation | Women Researcher Award

Published on by Research Data Analysis

Mrs Sivasankari Ramalingam - SRM institute of science and technology - Research article Recommendation

Mrs Sivasankari Ramalingam : Research article Recommendation

Professional profile:

Early Academic Pursuits:

Sivasankari R. embarked on her academic journey with a Bachelor's degree in Computer Science from Fatima College, Madurai, in 2011. She continued her education by pursuing a Master's in Computer Applications (M.C.A) at Velammal College of Engineering and Technology, Madurai, graduating in 2014. Her commitment to academic excellence led her to further pursue a Ph.D. in Computer Science at SRM Institute of Science and Technology, Chennai, with a research focus on Data Mining and Knowledge Graph.

Professional Endeavors:

Sivasankari R. has demonstrated her dedication to academia by taking on the role of an Assistant Professor at the Department of Computer Science and Applications, SRM Institute of Science and Technology, Ramapuram Campus, Chennai, from June 2018 to March 2020. In this capacity, she taught courses such as Social Network Analysis, Android Application Development, and Cloud Computing to postgraduate students.

Currently, she is engaged in advanced research as a Research Scholar in the same department at SRM Institute of Science and Technology, Ramapuram Campus, since February 2021. Her focus area includes Text Mining and Recommendation Systems.

Contributions and Research Focus:

Sivasankari's research contributions are noteworthy, with publications in reputed journals and chapters in recognized books. Notable works include a Scopus-indexed journal article titled "Hybrid scientific article recommendation system with COOT optimization" and a Scopus-indexed book chapter on the "Impact of Machine Learning Algorithms in Decision-Making With Serious Games in the Education and Healthcare Sectors."

Her research extends to areas like scientific paper recommendation systems, machine learning algorithms in decision-making, and content-based filtering algorithms for computer science research article recommendations. Additionally, she has contributed to the understanding of email classification based on user preference ontology and Naïve Bayes Theorem.

Accolades and Recognition:

Sivasankari has earned certifications in "Database Management System" and "Introduction to Internet of Things" through NPTEL, showcasing her commitment to staying updated with evolving technologies. Furthermore, she qualified as an Assistant Professor in UGC Net in 2018.

Impact and Influence:

As both a teacher and a researcher, Sivasankari has made a positive impact on her students and the academic community. Her research addresses contemporary challenges in computer science, contributing to the development of recommendation systems and decision-making processes.

Legacy and Future Contributions:

Sivasankari's legacy lies in her dual role as an educator and researcher. Her current focus on text mining and recommendation systems is poised to contribute significantly to the advancement of these fields. As she continues her research pursuits and teaching endeavors, she is likely to leave a lasting impact on the field of computer science and inspire future generations of students.

Notable Publications: