Dr. Eric Allara Ngaba | Decision-making and Problem-solving |Best Scholar Award

Dr. Eric Allara Ngaba | Decision-making and Problem-solving |Best Scholar Award

Université de N’Djamena, Chad

Author Profile

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🎓 Early Academic Pursuits

Born on December 8, 1988, in N’Djamena, Chad 🇹🇩, Allara Ngaba Eric’s academic journey reflects a deep-rooted passion for economics and public policy. His formative years in higher education began at the University of Moundou, where he obtained his Licence in Economics between 2009 and 2011. Recognized for his academic potential early on, he pursued advanced studies in Cameroon — a strategic move that placed him at the heart of Francophone Africa’s academic and research excellence.

His intellectual curiosity and strong analytical capabilities led him to enroll at Université de Yaoundé II (Soa), where he simultaneously earned two Master’s degrees: one in Applied Economics (2013–2015), and another in Mathematical Economics and Econometrics (2013–2014). These rigorous programs provided him with a solid foundation in quantitative research, modeling, and data analysis, skills essential for tackling complex socio-economic issues. His academic journey culminated in a Doctorate (PhD) in Public and Human Resource Economics, with a specialization in Health Economics, awarded by the University of Dschang in 2018 🎓 — a testament to his dedication and scholarly excellence.

🧑‍🏫 Professional Endeavors

Allara’s professional path is marked by a consistent commitment to teaching, research, and public policy advisory. His teaching career began in earnest in February 2021 at the École Normale Supérieure of N’Djamena, where he served as a lecturer. His pedagogical contributions continued to evolve when, in March 2024, he was appointed as a lecturer-researcher at the Faculty of Economics and Management at the University of N’Djamena. There, he teaches both undergraduate and doctoral-level courses in the Department of Economics and Management, nurturing future economists and policy thinkers.

Parallel to his academic work, Allara gained significant international experience as a Technical Consultant at the United Nations Economic Commission for Africa (UNECA) in Addis Ababa, Ethiopia, from August 2019 to January 2021 🌍. Working directly with the Office of the Executive Secretary, he contributed to the development of strategic documents and flagship projects — an experience that broadened his policy perspective and exposed him to high-level development planning across the African continent.

📚 Contributions and Research Focus

A specialist in health economics, Allara’s research intersects gender equity, public health service delivery, and economic empowerment. His work focuses on how socio-economic and gender-related determinants impact access to health services, particularly maternal health in sub-Saharan Africa. His analytical expertise in econometrics enables him to address these issues with precision and scientific rigor.

Currently, two of his major papers are under second-round review in leading international journals. The first, submitted to Social Science & Medicine, investigates how different dimensions of women’s decision-making power affect early prenatal care utilization in Burkina Faso — an important topic given the region’s maternal health challenges 👩‍⚕️. The second, co-authored with regional scholars and under review at BMC Health Services Research, explores whether women’s participation in decision-making influences the timing of prenatal visits — a critical indicator of maternal and child health outcomes.

These works underscore his commitment to evidence-based research that informs health policy and promotes gender-sensitive public health strategies.

🏅 Accolades and Recognition

In July 2023, Allara achieved a significant academic milestone when he was officially registered as a Maître-Assistant by CAMES (Conseil Africain et Malgache pour l’Enseignement Supérieur) 🏅. This title not only acknowledges his scholarly achievements but also places him among the cadre of respected academics recognized across Francophone Africa. His association as a researcher at the Centre for Research in Applied Microeconomics (REMA) in Cameroon further cements his reputation as a cross-border scholar contributing to policy-relevant economic research.

🌍 Impact and Influence

Allara’s work is beginning to shape important discussions in African public health policy, especially as it relates to gender and health service access. His involvement in both academic and international policy environments allows him to bridge theory and practice effectively. As a mentor and instructor, he influences young economists in Chad — equipping them not only with technical skills but also with a critical understanding of development challenges in the African context.

His technical advisory role at the UNECA offered him a platform to contribute to continental policy agendas, especially in health financing and human resource development. Through his academic publications and policy briefs, he is becoming a recognized voice in regional development economics.

🌱 Legacy and Future Contributions

As a scholar-practitioner, Allara Ngaba Eric is poised to play a pivotal role in shaping the next generation of African economists and policymakers. His future ambitions likely include expanding his research into other areas of health economics, influencing health systems reform, and leading interdisciplinary collaborations across African universities and research institutions 🤝. With ongoing contributions to high-impact journals and increasing participation in academic networks, his visibility is set to grow within global research communities.

Looking ahead, his dedication to capacity building, evidence-based policy, and academic mentorship offers a roadmap for meaningful development in public health economics. By aligning his expertise with Africa’s pressing needs, Allara exemplifies the scholar-leader needed for the continent’s future.

📝Notable Publications

 Does safe delivery depend on antenatal care in Cameroon

Author(s): I. Danadji, E.A. Ngaba, C. Mapa
Journal: African Journal of Health Sciences
Year: 2022

Effect of gender inequalities on human capital development in Sub-Saharan Africa

Author(s): H. Tamboura, I. Danadji, E.A. Ngaba, A. Diallo
Journal: International Journal of Scientific Research in Multidisciplinary Studies
Year: 2022

Potential Economic Impact of the African Continental Free Trade Area (AfCFTA) on Chad: A Partial Equilibrium Analysis

Author(s): E.A. Ngaba, N. Bayale, S.N. Dobah
Journal: — (Journal name not specified in your input, possibly unpublished or conference paper)
Year: 2020

 Inequalities in effective access to obstetric care in Chad

Author(s): E.A. Ngaba, B.F. Kamga
Journal: African Journal of Economic Review
Year: 2021

From food inflation to cash transfers and food subsidies: Assessing impacts on households’ consumption and welfare in Togo

Author(s): N. Bayale, T. Lanie, E.A. Ngaba, M. Nagou, K. Abah
Journal: African Development Review
Year: 2023 (Note: Based on volume 36 (4), which corresponds to 2023)

Ms. Mafaza | Innovative Leadership | Best Researcher Award

Ms. Mafaza | Innovative Leadership | Best Researcher Award

Ferhat Abbas University, Algeria

Author Profile

Google Scholar 

Early Academic Pursuits 📚

Mafaza Chabane’s academic journey began at the Faculty of Sciences, University of Ferhat Abbes Setif 1, where she embarked on a remarkable path in computer science and engineering. From the onset of her studies, her natural curiosity for technology and systems set the foundation for her research trajectory. During her undergraduate years, she demonstrated a profound understanding of fundamental subjects like programming languages, databases, and database management systems. These early academic pursuits laid the groundwork for her future work in machine learning, data mining, and natural language processing.

Chabane’s commitment to excellence was evident early on, as she ranked 3rd out of 222 students across six semesters, achieving an overall grade of 13.06/20. This achievement signified her potential in the world of computational research. As she transitioned to her master’s program, her academic standing continued to soar. She ranked first in her class over four semesters, achieving an impressive overall grade of 15.69/20. It was during this time that her deep interest in machine learning and natural language processing took root, as she focused her master’s dissertation on “Text Classification Translation Using Transfer Learning and Transformers.” Her exceptional work earned her an excellent grade of 18/20, solidifying her reputation as an up-and-coming researcher in her field.

Professional Endeavors 💼

In parallel with her academic endeavors, Mafaza Chabane has cultivated a professional profile that reflects her growing expertise and dedication to the field of natural language processing. As a Ph.D. candidate, she is working on a dissertation titled “Towards Robust Natural Language Understanding,” focusing on innovative approaches to improving machine learning systems. Her research aims to address pressing challenges in the field, particularly in the context of low-resource languages, a critical area of study that is often overlooked in mainstream research.

Her professional career is marked by a series of international presentations and communications, where she has actively shared her research findings with a broader scientific community. This exposure has not only contributed to the development of her own skills but has also enhanced her visibility within the academic world. Through these engagements, Chabane has made a significant impact on the discourse surrounding text classification, machine learning, and artificial intelligence.

Contributions and Research Focus 🔬

Mafaza Chabane’s research contributions are primarily centered on the intersection of natural language processing, machine learning, and low-resource languages. Starting with her master’s dissertation, where she compared various deep learning models in text classification and translation, Chabane laid the groundwork for more advanced work in the field. Her current Ph.D. research aims to create more robust systems for natural language understanding, with a special focus on addressing the challenges posed by languages that lack extensive linguistic resources.

Her work not only focuses on technical innovation but also aims to bridge the gap between languages that are underrepresented in the digital landscape. Low-resource languages have long struggled with the development of accurate machine learning models due to the lack of large, labeled datasets. By focusing on this area, Chabane is contributing to the democratization of artificial intelligence, ensuring that people who speak less common languages are not left behind as technology advances.

Accolades and Recognition 🏆

Chabane’s dedication to her studies and research has earned her a solid reputation in the academic world. Her hard work has led to her publishing a journal article in a prestigious Q1-ranked journal, a significant milestone for any early-career researcher. Additionally, her second paper is currently under review, indicating that her work continues to be well-received and respected by her peers.

Her academic achievements were further validated through the recognition she received for her master’s dissertation, which earned her an excellent degree. Throughout her career, Chabane’s consistent focus on quality research, dedication, and academic excellence has garnered her several accolades, including the highest academic rank in her class for four semesters.

Impact and Influence 🌍

Mafaza Chabane’s contributions to the fields of natural language processing and machine learning have already begun to make an impact, both within her academic institution and on a global scale. Through her research, she has not only deepened our understanding of deep learning models but has also highlighted critical challenges related to low-resource languages, which are often overlooked in mainstream research.

Her work is setting the stage for future advancements that will make it possible to apply machine learning techniques to a broader range of languages and cultures. This inclusivity will have far-reaching implications, especially for the development of artificial intelligence systems that are more universally applicable and representative of linguistic diversity.

Legacy and Future Contributions 🔮

Looking ahead, Mafaza Chabane’s future contributions to the field of natural language processing and machine learning are poised to have a lasting impact. Her focus on improving language understanding for low-resource languages will not only advance the technical aspects of machine learning but will also play a pivotal role in creating more equitable and accessible AI systems worldwide. As her research progresses, Chabane is likely to continue making groundbreaking contributions, both through her published works and her participation in international forums and collaborations.

In the long term, her work could be foundational in shaping the future of natural language understanding, ensuring that AI systems are more inclusive, culturally aware, and capable of bridging linguistic divides. With her early achievements and ongoing commitment to addressing critical gaps in the field, Chabane is well on her way to leaving a legacy of innovation and inclusion in the world of computational linguistics and machine learning.

📝Notable Publications

 COVID-19 Detection from X-ray and CT Scans Using Transfer Learning

Authors: M. Berrimi, S. Hamdi, R.Y. Cherif, A. Moussaoui, M. Oussalah, M. Chabane
Conference: International Conference of Women in Data Science at Taif University
Year: 2021

Ensemble Transfer Learning for Improved Brain Tumor Classification in MRI Images

Authors: S. Hamdi, A. Moussaoui, M. Berrimi, A. Laouarem, M. Chabane
Year: 2021

 SECA-Net: A Lightweight Spatial and Efficient Channel Attention for Enhanced Natural Disaster Recognition

Authors: S. Hamdi, A. Moussaoui, M. Chabane, A. Laouarem, M. Berrimi, M. Oussalah
Conference: International Conference on Information and Communication Technologies
Year: 2024

 Beyond Deep Learning: A Two-Stage Approach to Classifying Disaster Events and Needs

Authors: M. Chabane, F. Harrag, K. Shaalan
Conference: International Conference on Information and Communication Technologies
Year: 2024

Uncovering Linguistic Patterns: Exploring Ensemble Learning and Low-Level Features for Identifying Spoken Arabic, English, Spanish, and German

Authors: S. Hamdi, A. Moussaoui, M. Chabane, A. Laouarem, M. Berrimi, M. Oussalah
Conference: 5th International Conference on Pattern Analysis and Intelligent
Year: 2023

Prof. Weiqing Yan | Innovative Leadership |Best Researcher Award

Prof. Weiqing Yan | Innovative Leadership |Best Researcher Award

Yantai University, China

Author Profile

Google Scholar 

🌱 Early Academic Pursuits

Weiqing Yan’s academic journey is a testament to her dedication and passion for technology and innovation. Her foundational studies in information and communication engineering began at Tianjin University, one of China’s premier institutions, where she pursued a PhD in the same field. Immersed in an environment that encouraged advanced research, she honed her skills in computational techniques, laying the groundwork for her future contributions. During her doctoral studies, she earned a remarkable opportunity to become a joint PhD student at the Visual Spatial Perceived Lab at the University of California, Berkeley, from September 2015 to September 2016. This experience was transformative, exposing her to cutting-edge research in computer vision and advanced artificial intelligence techniques. The international exposure provided her with a broader perspective, instilling a deep understanding of complex problem-solving methods, collaborative research practices, and state-of-the-art computational models.

🚀 Professional Endeavors

Following the completion of her PhD in 2017, Weiqing Yan’s academic and research career advanced rapidly. She embarked on an international research fellowship at the School of Computer Science and Engineering, Nanyang Technological University (NTU), Singapore, from October 2022 to October 2023. This period was marked by intense research activity, where she collaborated with leading experts in the field of artificial intelligence and computer vision. Her work at NTU allowed her to further refine her expertise in 3D vision, multi-view representation learning, and pattern recognition—key areas that would define her academic legacy. Upon returning to China, she secured a prestigious position as a full professor at the School of Computer and Control Engineering at Yantai University, Shandong Province. In this role, she not only conducts high-impact research but also serves as a mentor, guiding students and young researchers in exploring the vast world of computer science.

💡 Contributions and Research Focus

Weiqing Yan’s research is primarily centered on three interconnected domains: 3D vision, multi-view representation learning, and pattern recognition. Her work in 3D vision explores the development of computational techniques that allow machines to perceive and interpret three-dimensional environments. This has significant applications in fields such as autonomous driving, robotics, and augmented reality. In multi-view representation learning, she has advanced the understanding of how machines can learn from data captured from multiple perspectives, enhancing the accuracy and robustness of machine learning models. Pattern recognition, another core focus, has seen her develop sophisticated algorithms that enable computers to detect and categorize complex visual patterns with remarkable precision. Her research is characterized by a deep understanding of mathematical models and an innovative approach to algorithm development, making her a leading voice in these specialized fields.

🏆 Accolades and Recognition

Weiqing Yan’s achievements have been recognized both nationally and internationally. She is a Senior Member of the IEEE, a distinction awarded to those who have demonstrated significant accomplishments in engineering and technology. This recognition is a reflection of her academic contributions, leadership, and ongoing commitment to the advancement of computer science. Her research has been published in prestigious journals, contributing to the global body of knowledge in computer vision and artificial intelligence. Her reputation as an expert in these fields is further reinforced by her collaborations with leading institutions such as the University of California, Berkeley, and Nanyang Technological University, where she worked alongside world-renowned researchers.

🌐 Impact and Influence

The impact of Weiqing Yan’s work extends beyond academic publications and conference presentations. Her research in 3D vision has practical applications in various industries, from autonomous vehicles to medical imaging, where accurate three-dimensional perception is critical. Her advancements in multi-view representation learning have made significant contributions to the field of machine learning, improving the performance of intelligent systems in recognizing objects and understanding complex scenes. As an educator, she has also played a pivotal role in shaping the next generation of engineers and computer scientists. Her ability to communicate complex concepts with clarity has made her a respected mentor, inspiring students to pursue careers in artificial intelligence and computer vision.

🌟 Legacy and Future Contributions

As she continues her academic career, Weiqing Yan’s legacy is likely to be defined by her pioneering work in computer vision and her role as an educator and mentor. Her research has not only expanded the frontiers of knowledge but has also paved the way for practical innovations in technology. In the future, her focus on 3D vision and multi-view representation learning will likely drive new breakthroughs, enabling machines to perceive the world with greater accuracy and understanding. Beyond her technical contributions, her commitment to international collaboration and mentorship will ensure that her influence is felt across the global academic community.

📝Notable Publications

Heterogeneous Network Representation Learning Approach for Ethereum Identity Identification

Authors: Y. Wang, Z. Liu, J. Xu, W. Yan
Journal: IEEE Transactions on Computational Social Systems
Year: 2022

GCFAGG: Global and Cross-View Feature Aggregation for Multi-View Clustering

Authors: W. Yan, Y. Zhang, C. Lv, C. Tang, G. Yue, L. Liao, W. Lin
Journal: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Year: 2023

A Review of Image Super-Resolution Approaches Based on Deep Learning and Applications in Remote Sensing

Authors: X. Wang, J. Yi, J. Guo, Y. Song, J. Lyu, J. Xu, W. Yan, J. Zhao, Q. Cai, H. Min
Journal: Remote Sensing
Year: 2022

Cumulants-Based Toeplitz Matrices Reconstruction Method for 2-D Coherent DOA Estimation

Authors: H. Chen, C.P. Hou, Q. Wang, L. Huang, W.Q. Yan
Journal: IEEE Sensors Journal
Year: 2014

 Effective Block Sparse Representation Algorithm for DOA Estimation with Unknown Mutual Coupling

Authors: Q. Wang, T. Dou, H. Chen, W. Yan, W. Liu
Journal: IEEE Communications Letters
Year: 2017

Dr. Abdulfatai Ajiboye | Decision-making and Problem-solving | Outstanding Scientist Award

Dr. Abdulfatai Ajiboye | Decision-making and Problem-solving | Outstanding Scientist Award

Dr. Abdulfatai Ajiboye, Kwara State University, Malete, Nigeria

🔗 Professional Profiles

Education and Academic Journey 📚

Dr. Ajiboye obtained his Ph.D. in Chemistry from the University of Lagos, specializing in Natural Products/Medicinal Chemistry and Organic Chemistry. His research during this time focused on the isolation, purification, and structural modification of bioactive compounds from medicinal plants. He honed his skills in Nuclear Magnetic Resonance (NMR) spectroscopy, mass spectrometry, and high-performance liquid chromatography (HPLC) for the analysis and quantification of phytochemicals.

Professional Experience 💼

During his tenure as a Visiting Research Scholar at the National Centre for Products Research, School of Pharmacy, University of Mississippi, USA, Dr. Ajiboye gained valuable experience in isolating and characterizing bioactive compounds using advanced spectroscopic techniques like 1D&2D NMR and HRMS.

Research Interests and Contributions 🔬

Dr. Ajiboye’s research interests span molecular networking, virtual screening, and the synthesis of small organic molecules with potential biological properties. He has made significant contributions to the fields of natural products chemistry, organic synthesis, and medicinal chemistry, particularly in exploring the antihyperglycemic, antioxidant, antimicrobial, and cytotoxic properties of phytochemicals from plants.

Teaching and Mentoring 🎓

As an educator, Dr. Ajiboye is actively involved in teaching and supervising both undergraduate and postgraduate students. His teaching duties include courses such as Basic Organic Chemistry, Experimental Chemistry, Polymer Chemistry, Organic Reactions, and Mechanisms, among others. He is also engaged in supervising research projects at various levels, nurturing the next generation of scientists.

Community Engagement and Outreach 🌍

Beyond academia, Dr. Ajiboye is committed to community development initiatives, leveraging his expertise to contribute positively to society.

Skills and Expertise 💡

Dr. Ajiboye possesses a diverse skill set including proficiency in operating advanced analytical instruments like NMR, HRMS, LC-MS, GC-MS, and HPLC. He is adept at grant writing, science communication, and conducting in silico analyses for computational research.

Dr. AbdulFatai Temitope Ajiboye’s work reflects a deep-seated passion for scientific exploration, education, and making impactful contributions to the field of Chemistry.

Publication Top Noted

Paper Title: Anti-Diabetic Efficacy and Phytochemical Screening of Methanolic Leaf Extract of Pawpaw (Carica papaya) Grown in North Central Nigeria.
  • Authors: Ayorinde Victor Ogundele, Kabir Opeyemi Otun, Abdulfatai Ajiboye, Bolatito Eunice Olanipekun, Rasheed Bolaji Ibrahim
  • Journal: Journal of the Turkish Chemical Society Section A: Chemistry
  • Year: 2017
  • Citations: 21
Paper Title: Chemical composition, antioxidant and antimicrobial potentials of Icacina trichantha Oliv. leaf extracts
    • Authors: Kabir O Otun, Damilola B Onikosi, Abdulfatai T Ajiboye, Akeem A Jimoh
    • Journal: Kabir O Otun, Damilola B Onikosi, Abdulfatai T Ajiboye, Akeem A Jimoh
    • Year: 2015
    • Citations: 18
Paper Title: Recent advances in the synthesis of various analogues of MOF-based nanomaterials: A mini-review
    • Authors:Kabir Opeyemi Otun, Sefiu Olaitan Amusat, Ismaila Taiwo Bello, Jibril Abdulsalam, Abdulfatai Temitope Ajiboye, Aliu Adeniyi Adeleke, Samsudeen Olanrewaju Azeez
    • Source: Inorganica Chimica Acta
    • Year: 2022
    • Citations: 13
Paper Title: The studies of antioxidant and antimicrobial potentials of the leaf extract of Bauhinia monandra plant
    • Authors: AT Ajiboye, MD Musa, KO Otun, AA Jimoh, AT Bale, SO Lawal, MT Arowona
    • Source:Nat Prod Chem Res
    • Year: 2015
    • Citations: 11
Paper Title: Sorption study of Cd (II) from aqueous solution using activated carbon prepared from Vitellaria paradoxa shell
    • Authors:AA Jimoh, GB Adebayo, KO Otun, AT Ajiboye, AT Bale, W Jamiu, FO Alao
    • Journal: J Bioremed Biodeg
    • Year: 2015

 

Dr. YUZHE QI | Decision-making and Problem-solving | Best Researcher Award | 2750

Dr. YUZHE QI, Decision-making and Problem-solving, Best Researcher Award

Dr. YUZHE QI, Silla University, South Korea

Professional Profile 

🎓 Education:

Doctorate in Industrial Design from Silla University, South Korea.

👨‍🔬 Position:

Currently serving as a Research Assistant, Dr. Qi contributes significantly to the advancement of design methodologies and technologies.

🔍 Research Fields:

Dr. Qi’s research primarily focuses on Kansei Engineering, which delves into understanding users’ emotional responses to products, Emotional Design, which emphasizes designing products to evoke specific emotions, and Intelligent Design, which involves integrating smart technologies into design processes.

📞 Contact Information:

🌐 Social Experience:

Dr. Qi is actively involved in various cultural and academic associations, showcasing his commitment to interdisciplinary collaboration and cultural exchange. He is a member of several prestigious societies such as the Korean Design Society and the Korean Society of Design Research.

Some notable affiliations include:

  • Korean-Chinese Cultural and Art Promotion Association Member
  • Lifetime Honorary Member of the Korean Content Association
  • Member of the Korean Society of Convergence Technology
  • Member of the Korean Society of Marine Design
  • Member of the KU Chinese Studies Association
  • Executive Director at Chengdu Dingli Cultural Communication Co., Ltd.
  • External Lecturer at Sichuan University of Science and Technology – School of Arts, teaching Sketch Course.

📚 Academic Achievements:

Dr. Qi has actively contributed to academic discourse, presenting his research at numerous conferences and publishing papers in reputable journals. He has participated in 16 domestic and international academic conferences, receiving recognition for four papers as ‘Excellent Paper.’ Additionally, he has published extensively, with papers in KCI (Korean academic journals), SCIE, EI journals, and conference proceedings.

This comprehensive biography encapsulates Dr. Qi Yuzhe’s academic prowess, social engagements, and contributions to the field of Industrial Design, making him a notable figure in the realm of design research and innovation.

Publication Top Noted

Paper Title: Study on Satisfaction Evaluation of Chinese Mainstream Short Video Platforms
  • Authors: Qi, Y., Han, J., Lu, X., Ren, H., Zhang, X.
  • Journal: Heliyon
  • Year: 2024
Paper Title: Evaluation of Electric Car Styling Based on Analytic Hierarchy Process and Kansei Engineering: A Study on Mainstream Chinese Electric Car Brands
  • Authors: Qi, Y., Kim, K.
  • Journal: Heliyon
  • Year: 2024