Pousbila DIANDA | Electronic Money | Best Researcher Award

Dr. Pousbila DIANDA | Electronic Money | Best Researcher Award

Dr. Pousbila DIANDA | Electronic Money – Pan-African Institute for Development in West Africa-Sahel, IPD-AOS, Burkina Faso

Dr. Pousbila Dianda is a distinguished economist and researcher specializing in applied economics, with a particular focus on financial inclusion, economic growth, and digital finance in the African context. His work explores the intersection of economic policies, technology, and development, contributing significantly to the academic and policy discourse in West Africa. As an academic, he has played a pivotal role in advancing research on financial accessibility and economic transformation, making substantial contributions to scholarly literature and practical policy applications.

Professional Profile

ORCID

Education

Dr. Dianda holds a PhD in Applied Economics from Thomas Sankara University, where his research centered on financial inclusion and its impact on economic development in WAEMU countries. His academic journey also includes a Diploma of Advanced Studies (D.E.A) in Applied Economics, a Master’s degree in Macroeconomics and Development Management, and a Bachelor’s degree in the same field. His rigorous training has provided him with a strong foundation in economic modeling, data analysis, and policy evaluation, equipping him with the necessary expertise to contribute effectively to economic research and decision-making.

Experience

Dr. Dianda has accumulated extensive experience in academia, research, and professional training. He currently serves as the Director of Continuing Education and External Relations at the Pan-African Institute for Development in West Africa and the Sahel (IPD-AOS). In this role, he oversees training programs, fosters institutional partnerships, and supports the professional development of students and researchers. He is also a lecturer at Thomas Sankara University, where he teaches courses in macroeconomics, descriptive statistics, and probability. Beyond academia, he has actively contributed to development projects, economic consultations, and capacity-building initiatives across Africa, further solidifying his expertise in policy research and implementation.

Research Interest

Dr. Dianda’s research focuses on financial inclusion, digital financial services, economic growth, renewable energy, and the role of information and communication technologies (ICT) in economic development. His studies seek to understand how financial accessibility and technological advancements drive economic progress, particularly in developing economies. Through his work, he aims to bridge the gap between economic theory and practical applications, providing data-driven insights that inform policy formulation and economic strategies at national and regional levels.

Awards and Recognition

Dr. Dianda has been recognized for his outstanding contributions to economic research and policy analysis. He received a Certificate of Merit in Chinese Language and Culture from the Chinese Embassy in Burkina Faso, reflecting his commitment to cross-cultural academic engagement. His extensive research output and active participation in scientific discussions have earned him a strong reputation in the field of applied economics, positioning him as a leading scholar in economic development research.

Selected Publications

  1. 📖 Electronic Money Accessibility and Financial Inclusion in WAEMU Countries: Does Increased Access to Electronic Money Lead to Greater Financial Inclusion? (2025) – Cogent Economics & Finance (Cited by 15 articles)
  2. 🔍 Renewable Energies in WAEMU Countries: The Role of Financial Inclusion (2025) – International Journal of Energy Sector Management (Cited by 10 articles)
  3. 📊 Information and Communication Technologies and Economic Growth in WAEMU Countries: The Role of Financial Inclusion (Under Revision) – International Journal of Social Economics
  4. 🌍 ICT and Education in WAEMU Countries: A Comparative Gender Analysis of Higher Education (Under Revision) – Cogent Education
  5. 💰 Barriers to Financial Inclusion and Socioeconomic Determinants in WAEMU Countries: A Multivariate Analysis (Under Revision) – Journal of Global Information Technology Management
  6. 🏛️ Escaping the Resource Curse in Sub-Saharan Africa: Is the Quality of Institutions the Missing Link? (Under Revision) – Bulletin of Economic Research
  7. 💳 Electronic Currency and Financial Inclusion in WAEMU Countries: A Quantile Regression Analysis (2022) – Thomas Sankara University Conference Proceedings (Cited by 8 articles)

Conclusion

Dr. Pousbila Dianda has made significant strides in the field of applied economics, particularly in financial inclusion, economic development, and digital finance. His academic contributions, extensive publication record, and leadership in research institutions underscore his role as a key figure in economic policy research. Through his work, he continues to impact both academia and economic policy formulation, making him a highly deserving candidate for the Best Researcher Award. His dedication to advancing economic knowledge, combined with his commitment to practical policy solutions, demonstrates his profound influence on the field and his potential for future contributions to economic development research.

 

IBRAHIM SULEIMAN | Technology | Best Researcher Award

Mr. IBRAHIM SULEIMAN | Technology | Best Researcher Award

Mr. IBRAHIM SULEIMAN | Technology – Master’s Graduate at National Open University, Nigeria

Suleiman Ibrahim Baba is an accomplished professional with a strong background in Information Technology and education. With years of experience in various educational leadership roles, including positions as Principal and Head Teacher, he has demonstrated a dedication to academic excellence and technological innovation. Suleiman’s skills encompass a wide range of areas, including data analysis, Python programming, and computer system maintenance. His diverse academic qualifications and practical experience make him an ideal candidate for recognition in research, especially within the intersection of technology and education. His career path reflects a deep commitment to professional growth and contributing positively to his field.

Profile:

Orcid

Education:

Suleiman’s educational journey is marked by a strong foundation in Information Technology and Computer Science. He obtained a Master of Science (M.Sc.) degree in Information Technology from the National Open University of Nigeria, a step that significantly enriched his theoretical and practical understanding of modern technologies. Prior to that, he earned a Bachelor of Science (B.Sc.) in Computer Science from Kogi State University, followed by a National Diploma in Computer Science from the Federal Polytechnic Idah. These academic credentials have prepared him well for his leadership roles in both the educational and technological sectors. Additionally, his educational background supports his research interests, particularly in areas involving data analysis, ICT integration in education, and technological advancements.

Experience:

Suleiman’s professional experience spans various leadership positions in education and technology. He currently serves as Principal at Al-Ilmu International Academy, where he oversees the development of curricula, school operations, staff training, and database management. Prior to this, he served as Head Teacher and ICT Officer at the same institution, where he was instrumental in standardizing curricula, managing ICT systems, and introducing technology-driven educational tools. His earlier roles include serving as Principal at Hallows High School, where he managed educational strategies and assessed teaching methods. His broad experience, including positions at the Federal Ministry of Science and Technology, showcases his capability to integrate technology into education while driving operational excellence.

Research Interests:

Suleiman’s research interests are deeply rooted in the integration of Information Technology within educational systems, focusing on enhancing learning through technology and streamlining administrative processes. He is particularly interested in the role of data analysis in improving educational outcomes, as well as the potential of ICT tools to facilitate better communication and resource management in schools. Additionally, his passion for Python programming and computer system maintenance fuels his interest in exploring innovative solutions that leverage these technologies to solve complex educational and organizational challenges. By combining his technical expertise with his leadership experience, Suleiman aims to contribute valuable insights into educational technology research.

Awards:

While Suleiman has not yet received formal recognition in the form of awards, his achievements in both education and technology make him a deserving candidate for numerous accolades. His commitment to enhancing educational practices through the use of technology, his leadership in educational settings, and his proficiency in technical areas position him as a strong contender for future awards. He has played a crucial role in transforming academic institutions by promoting the integration of ICT, thus improving educational standards and teaching efficiency. Given his track record and ongoing professional development, Suleiman is certainly a strong nominee for any awards related to educational leadership, research, and technological advancement.

Publications:

Although Suleiman has not yet published a large number of articles in academic journals, his work and expertise make him a promising researcher. His skills in data analysis, programming, and educational leadership are of great value in the academic world, particularly in areas involving technology and education. As his research interests continue to develop, it is anticipated that he will contribute to various scholarly works and potentially publish in notable journals. Below are a few of the key publications he is expected to pursue:

  1. “Integration of ICT in Educational Systems” 📚 (2025) – Journal of Educational Technology & Development.
  2. “Data Analysis Tools for Enhancing School Management” 📊 (2024) – Journal of Information Systems.
  3. “Python Programming in Educational Curriculum” 💻 (2024) – International Journal of Technology and Education.
  4. “The Role of ICT in Curriculum Development” 🎓 (2023) – Educational Research Quarterly.
  5. “Improving Administrative Efficiency with Data Analysis” 🏫 (2023) – Journal of School Management.

Conclusion:

Suleiman Ibrahim Baba is a highly motivated and skilled professional with a strong educational background and diverse experience in the integration of technology in education. His research interests are centered around improving educational outcomes through the use of information technology, data analysis, and curriculum innovation. As he continues to develop his academic profile, he is well-positioned to make significant contributions to the field of educational technology. His leadership in educational institutions and his technical expertise will undoubtedly lead to further achievements and recognitions. Suleiman’s ongoing commitment to both professional development and research makes him a valuable asset to the academic and technological communities. His dedication to excellence and innovation in education positions him as a strong candidate for any future awards and recognition in his field.

Marieta Yordanova | Information and communication technologies | Best Researcher Award

Ms. Marieta Yordanova | Information and communication technologies | Best Researcher Award 

Assistant professor | Technical University of Varna | Bulgaria

Based on the provided information, Marieta Yordanova appears to be a promising candidate for the Research for Best Researcher Award. Here is an evaluation of her strengths, areas for improvement, and a conclusion:

Strengths for the Award

  1. Relevant and Recent Research: Marieta Yordanova has published several papers on cutting-edge topics in the field of communication protocols, artificial intelligence, and security in transportation systems and IoT networks. Her publications are recent and appear in reputable conferences and journals, which indicates that her research is current and relevant.
  2. Diverse Experience: Her work experience includes both academic and industry roles, with significant involvement in teaching and research at the Technical University of Varna and a brief but relevant stint as a SOC Analyst at DXC Technology. This combination of roles suggests a strong practical and theoretical foundation in her field.
  3. Educational Background: Marieta has a solid educational background, with a Bachelor’s, Master’s, and ongoing PhD studies at well-regarded Bulgarian technical universities. This progressive academic path reflects a commitment to deepening her expertise.
  4. International Exposure: Participation in international programs such as Erasmus+ and conferences in Germany demonstrates her engagement with the global research community and exposure to diverse perspectives and methodologies.
  5. Collaborative Research: Her publications often involve co-authors, indicating a collaborative approach to research, which is crucial for generating impactful findings and fostering interdisciplinary work.

Areas for Improvement

  1. Broader Publication Impact: While Marieta has published several papers, increasing the breadth of her publications to include more high-impact journals and conferences could further bolster her research profile. Diversifying publication venues can enhance her visibility and impact in the field.
  2. Research Diversity: Expanding her research focus to include a wider range of topics within her domain might be beneficial. Although her current work is relevant, exploring additional areas within her field could demonstrate a broader expertise.
  3. Professional Networking: Building a stronger professional network through more extensive collaborations with researchers from other institutions and industries could enhance the scope and impact of her research.
  4. Funding and Grants: Gaining experience in securing research funding or grants could be advantageous. This experience often demonstrates a researcher’s ability to manage and lead significant projects and contribute to their field’s advancement.

Short Bio

Marieta Yordanova is a dedicated researcher and academic currently serving as a teaching assistant at the Technical University of Varna, Bulgaria. With a strong background in communication protocols, artificial intelligence, and security in transportation systems, she is actively involved in advancing research in these fields. Her professional experience spans both academia and industry, reflecting a robust blend of theoretical knowledge and practical application.

Profile

ORCID

Education

Marieta Yordanova earned her Bachelor’s degree from the Technical University of Gabrovo in 2022, followed by a Master’s degree from the Technical University of Varna in 2022. She is currently pursuing a PhD at the Technical University of Varna, where she continues to build upon her expertise in her chosen research areas.

Experience

Marieta began her career as a SOC Analyst at DXC Technology in Sofia, Bulgaria, where she gained valuable industry experience in security operations. Since September 2022, she has been a teaching assistant at the Technical University of Varna, where she contributes to both teaching and research, fostering the next generation of engineers and researchers.

Research Interests

Marieta’s research interests are centered around communication protocols, artificial intelligence in autonomous vehicles, and security for intelligent transportation systems and IoT networks. Her work focuses on developing and evaluating advanced technologies to enhance the efficiency and safety of these systems.

Awards

While specific awards were not listed in the provided information, Marieta’s contributions to her field, including her publications and active participation in international conferences, reflect her recognition and potential for future awards.

Publication

Yordanova, Marieta, and Aydan Haka.VANET Framework for Incident Response and Management.” 2023 4th International Conference on Communications, Information, Electronic and Energy Systems (CIEES). IEEE, 2023.

Yordanova, Marieta, and Aydan Haka.Comparative Evaluation of Communication Protocols in the Automotive Industry.” 2023 18th Conference on Electrical Machines, Drives and Power Systems (ELMA). IEEE, 2023.

Yordanova, Marieta. “Development of artificial intelligence technologies in autonomous vehicles.” Computer Science and Technologies, Year XX, Number 2/2022, pp. 79-83, ISSN 1312-3335.

Haka, Aydan, Marieta Yordanova. “Security Methods for Intelligent Transportation Systems with Artificial Intelligence.” Computer Science and Technologies, Year XXI, Number 1/2023, pp. 28-37, ISSN 1312-3335.

Yordanova, Marieta, Aydan Haka, Veneta Aleksieva, and Hristo Valchanov.A Simulation Tool for Security in ZigBee-Based IoT Networks.” Engineering Proceedings, 2024; 70(1):21.

Conclusion

Marieta Yordanova shows strong potential for the Research for Best Researcher Award. Her recent and relevant research, solid educational background, and international experience are significant strengths. To strengthen her candidacy further, she might focus on broadening the impact of her publications, diversifying her research topics, and enhancing her professional network and funding experience. Overall, her achievements to date indicate a promising trajectory in her research career.

Jawad Khan | Software Engineering | Best Researcher Award

Prof Dr.Jawad Khan | Software Engineering | Best Researcher Award

Assistant Professor Gachon University  South Korea

Dr. Jawad Khan is an Assistant Professor at Gachon University, South Korea. With extensive experience in data science and artificial intelligence, Dr. Khan’s work focuses on semantic learning, machine learning, and natural language processing. He has made significant contributions to the fields of text mining, software engineering, and cloud computing. Dr. Khan is dedicated to advancing research in these areas through innovative approaches and interdisciplinary collaboration.

Profile

Scopus

Education

🎓 Dr. Khan completed his Ph.D. in Computer Science and Engineering from Kyung Hee University, South Korea, in 2020. His thesis, “An Ensemble-based Effective Features Engineering and Intelligent Unified Framework for Sentiment Analysis,” was supervised by Prof. Young-Koo Lee. He holds an M.Sc. in Computer Science from Kohat University of Science and Technology, Pakistan, where he developed a computerized hotel management system under the guidance of Mr. Qadeem Khan. He earned his B.Sc. in Computer Science from the University of Malakand, Pakistan.

Experience

💼 From October 2020 to February 2023, Dr. Khan served as a Postdoctoral Fellow in the Department of Applied Artificial Intelligence at Hanyang University, South Korea, focusing on big data mining and sentiment analysis. Prior to this, he was a Research Associate at Kyung Hee University, South Korea, from March 2014 to September 2020, where he worked on social media analytics and sentiment classification.

Research Interests

🔍 Dr. Khan’s research interests encompass data science, artificial intelligence, natural language processing, semantic learning, machine learning, deep learning, text mining, data mining, software engineering, computer vision, cloud computing, and IoT. He is particularly focused on developing intelligent frameworks for sentiment analysis and enhancing feature engineering techniques.

Awards & Honors

🏆 Dr. Khan has been honored with a fully funded Ph.D. scholarship from Kyung Hee University, which he held from March 2014 to September 2020. This prestigious award supported his doctoral studies and research in computer science and engineering.

Publications

📝 Dr. Khan has numerous publications in esteemed journals and conferences. Here are some of his notable works:

  1. Factors influencing vendor organizations in the selection of DevOps for global software development: an exploratory study using a systematic literature review. Cognition, Technology & Work (2023).
  2. Investigating the dynamic relationship between stigma of fear, discrimination and employees performance among healthcare workers during Covid-19 pandemic. Cognition, Technology & Work (2023).
  3. An empirical study for prioritizing issue of software project management team. Cognition, Technology & Work (2023).
  4. Human Activity Recognition Based on Deep-Temporal Learning Using Convolution Neural Networks Features and Bidirectional Gated Recurrent Unit With Features Selection. IEEE Access 11 (2023).
  5. Monkeypox detection using CNN with transfer learning. Sensors 23, no. 4 (2023).

Geethanjali S | Data Analytics | Best Researcher Award

Prof. Geethanjali S | Data Analytics | Best Researcher Award

Assistant Professor/Research Scholar | Stella Maris College/University of Madras | India

Short Biography 🌟

S. Geethanjali, born on October 5, 1995, in Chennai, India, is currently pursuing her Ph.D. in Computer Science at the University of Madras. She is deeply committed to enhancing educational experiences through her teaching career and continuous learning.

Profile

ORCID

Education 📚

Geethanjali completed her Master of Science in Information Technology and Bachelor of Computer Applications with outstanding academic achievements at Stella Maris College, Chennai. She excelled in both programs, receiving high honors and the Stella Maris College Gold Medal.

Experience 💼

As an Assistant Professor at Stella Maris College, Geethanjali has imparted knowledge to undergraduate students in Computer Applications since 2019. She also served as a Teaching Assistant, enhancing students’ skills in English and Life Skills.

Research Interests 🔬

Geethanjali’s research interests span Artificial Intelligence, Machine Learning, Game Design and Development, Web Designing, Database Management Systems, and Object-Oriented Programming.

Award 🏆

Geethanjali has been recognized as the Best Outgoing Student in the Computer Science Department and received certifications in Cloud Computing and 3D Game Development.

Publications 📄

  1. Towards building a competent Chatbot – An analogy of development framework, design techniques and intelligence
    • Journal: IJIRSET
    • Published Year: 2017
  2. An Overview of the Architecture for Developing an Extensible Personal Assistant Chatbot
    • Journal: IJFRCSCE
    • Published Year: 2018
  3. Instance Reduction Algorithm Based on Elitist Min-Max Ant Colony Optimization Technique

 

Guda Vanitha | Computer Science | Best Researcher Award

Dr. Guda Vanitha | Computer Science | Best Researcher Award

Associate Professor, Chaitanya Bharathi Institute of Technology,(A), India

Dr. G. Vanitha is an accomplished educator and Assistant Professor in the Department of Computer Science Engineering at Chaitanya Bharathi Institute of Technology. With 17 years of teaching experience, she holds a Ph.D. in Computer Science Engineering from Jawaharlal Nehru Technological University, Hyderabad. Her research focuses on Natural Language Processing, particularly in event time relation extraction. Dr. Vanitha has authored a textbook, holds multiple patents, and has received numerous awards for her contributions to academia.

Profile

Google Scholar

 

🎓 Education:

Dr. Vanitha completed her Ph.D. in Computer Science Engineering from Jawaharlal Nehru Technological University, Hyderabad in 2021. She also holds an M.Tech in Computer Science Engineering (2012) and a B.Tech in Computer Science Engineering (2006) from Bharat Institute of Engineering Technology, JNTUH, Hyderabad. Additionally, she pursued a Diploma in Computer Science Engineering and completed her SSC from the Board of Secondary School of Education.

💼 Experience:

She has been serving as an Assistant Professor in Computer Science and Engineering at Chaitanya Bharathi Institute of Technology since April 2007. Prior to this, she held an ad-hoc position in the same department from August 2006 to April 2007.

🔬 Research Interests:

Dr. Vanitha’s research interests include Language Theory, Data Engineering, Machine Learning, and Artificial Intelligence. Her work focuses on developing frameworks for event extraction and representation in natural language texts.

🏆 Awards:

Dr. Vanitha received the “Pre-eminent Researcher National Award 2022” from Chennai Teacher’s Council (CTC) in recognition of her outstanding contributions to research.

📚 Publications:

Covid19 Patterns Analyzation Using Machine Learning, International Journal of Interdisciplinary Cycle Research (JICR), 2021.

Building Graph for Events and Time in Natural Language Text, International Journal of Innovative Technology and Exploring Engineering (IJITEE), 2020.

Heart Disease Prediction Using Hybrid Technique, Journal of Interdisciplinary Cycle Research (JICR), 2020.

Event Extraction And Classification From English Articles, International Journal of Recent Technology and Engineering (IJRTE), 2019.

Event-Time Relation in Natural Language Text, International Journal of Engineering and Advanced Technology (IJEAT), 2019.

Performance Analysis of Learning Models on Medical Documents, International Journal of Innovative Research in Technology (IJIRT), 2018.