Dr. Abiala Alatise Abiala | Technology | Best Researcher Award

Dr. Abiala Alatise Abiala | Technology | Best Researcher Award

Dr. Abiala Alatise Abiala, University Lecturer, Tai Solarin University of Education, Ijagun, Ogun State, Nigeria.

Dr. ABIALA, Abiala Alatise is a Nigerian academic and agricultural extension expert with over two decades of experience in teaching, research, and community development. Born in Ogun State, he has dedicated his professional life to advancing agricultural science and rural development through education and innovation. He currently serves as a Lecturer II at Tai Solarin University of Education, Ogun State. A multi-talented individual, Dr. Abiala has also made significant impacts in religious, civic, and youth empowerment circles. His commitment to integrating artificial intelligence in agricultural education marks a significant stride in enhancing food security and sustainability in West Africa.

Publication Profile

ORCID

🎓 Education Background

Dr. Abiala holds a Ph.D. in Agricultural Extension from Tai Solarin University of Education (2024), an M.Sc. in Agricultural Extension and Rural Development from the University of Ibadan (2009), and a B.Ed. in Agricultural Science Education from the same university (2004). His academic journey began at African Primary School and Owode Secondary School in Ogun State. He has continuously advanced his professional capacity through specialized certificates in AI integration, copywriting, STEM pedagogy, and theology, reflecting his interdisciplinary approach to education, technology, and spiritual leadership in the evolving academic and development landscape of Nigeria.

👨‍🏫 Professional Experience

Dr. Abiala has held various educational and administrative roles, including Lecturer II at Tai Solarin University of Education since 2025. He previously served as a Science Teacher at Idomila Comprehensive High School (2017–2024), Assistant Lecturer at Ekiti State University (2011–2017), and Subject Teacher at Obanta Comprehensive High School (2007–2017). His early career included administrative duties at TASUED and NYSC service in Anambra State. Through these roles, he has mentored students, facilitated curriculum development, and promoted agricultural practices, earning a reputation for academic diligence and passion for rural development.

🏅 Awards and Honors

Dr. Abiala’s scholarly excellence has been recognized globally. He received the prestigious CORAF Travel Grant (Togo, 2023) and three Society for Conservation Biology Travel Grants for academic activities in Canada, China, and New Zealand between 2009 and 2011. These awards underscore his contributions to agricultural sustainability and biodiversity conservation. His certification as a Microsoft Innovative Educator Expert and participation in World Bank’s ToT in STEM reflect his leadership in educational innovation. These accolades not only celebrate his academic achievements but also support his mission to bridge the gap between research, community empowerment, and technological integration.

🔬 Research Focus

Dr. Abiala’s research focuses on agricultural extension, food security, youth empowerment, and sustainable farming systems in Nigeria. His Ph.D. work examined the impact of the Anchor Borrowers’ Programme on rice farmers’ poverty levels. His studies also investigate agricultural technology use, snail farming, charcoal utilization, and the socio-economic dimensions of agri-business. With interdisciplinary outputs spanning newspapers, environmental conservation, and rural livelihoods, he contributes to both academic literature and policy discourse. He integrates AI and modern pedagogies into agriculture, positioning his research at the intersection of education, technology, and sustainable development in West Africa.

🧾 Conclusion

Dr. ABIALA, Abiala Alatise exemplifies a well-rounded scholar, educator, and community leader committed to agricultural transformation and educational excellence in Nigeria. With a strong foundation in extension services and educational innovation, he actively supports the application of modern technology for sustainable rural development. His publications, global exposure, and community involvement reflect a visionary academic whose contributions continue to inspire change across multiple sectors. Whether in the classroom, research arena, or religious setting, Dr. Abiala brings purpose, leadership, and transformative impact.

📚 Top Publications with Notes

  1. Assessment of Local Processing, Packaging and Storage Among Rice Processors in Southwestern Nigeria
    Banjo, S. et al., MDPI Proceedings, 2025
    Cited by: 12 articles
    ➤ A detailed analysis of value-chain improvements in rice processing for food security and trade.

  2. Effects of Agricultural and Technology Usage on the Genetic Selection and Climate Resilience of Fish Farming in Oyo State
    Sanni, M.A. et al., Journal of Theoretical and Empirical Studies in Education, 2025
    Cited by: 8 articles
    ➤ Investigates tech integration in aquaculture for sustainable fishery practices.

  3. Socio-economic Impact of Snail Production and Youth Engagement
    Asamu, Y.I. et al., Journal of Molluscan Research, 2025
    Cited by: 9 articles
    ➤ Highlights the economic potential of snail farming for youth job creation.

  4. Snail Farming as a Means of Wealth Creation in Ogun State
    Jolayemi, J.O. et al., Journal of Molluscan Research, 2025
    Cited by: 5 articles
    ➤ Focuses on value-added practices and entrepreneurship in molluscan farming.

  5. Impact of Anchor Borrowers’ Programme on Smallholder Rice Farmers’ Income
    Banjo, O.S. et al., CYIAP Journal, 2023
    Cited by: 13 articles
    ➤ Examines policy impact on rural rice farmers’ financial stability.

  6. Contribution of NIRSAL to Rice Farmers’ Productivity
    Abiala, A.A. et al., Journal of Agricultural Education Teachers, 2023
    Cited by: 11 articles
    ➤ Links institutional support to yield increase and food security outcomes.

  7. Medicinal Uses of Snail Meat for Boosting Agribusiness
    Oladele, M.N. et al., NMS Conference Proceedings, 2024
    Cited by: 6 articles
    ➤ Presents ethnobotanical insights into snail meat for health-focused agribusiness.

  8. The Impact of Palm Kernel Cake in Resolving Herdsmen-Farmers Conflicts
    Abiala, A.A., IGI Global Journal, 2019
    Cited by: 15 articles
    ➤ Proposes agribusiness solutions to mitigate agricultural land conflicts.

  9. Plant Conservation: Political Harmony for Nature and Society
    Abiala, A.A., Society for Conservation Biology Journal, 2009
    Cited by: 10 articles
    ➤ Connects environmental policy with biodiversity conservation strategies.

  10. Religious Tolerance and Environmental Conservation
    Abiala, A.A., Obeche Journal, 2008
    Cited by: 7 articles
    ➤ Discusses how religious cooperation enhances ecological preservation efforts.

 

Zhe PENG | Data Analytics | Best Researcher Award

Prof. Zhe PENG | Analytics | Best Researcher Award

Assistant Professor, The Hong Kong Polytechnic University, Hong Kong

Dr. Zhe Peng  is a dedicated Research Assistant Professor at the Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University. With a strong background in computer science and engineering, he specializes in intelligent supply chains, AI for manufacturing, and blockchain technologies. His contributions to blockchain, federated learning, and decentralized identity systems have earned him global recognition. With extensive academic and industry experience, Dr. Peng has made a significant impact on cutting-edge technological advancements.

Publication Profile

🎓 Education

Dr. Peng holds a Ph.D. in Computer Science from The Hong Kong Polytechnic University (2018), under the supervision of Prof. Bin Xiao (IEEE Fellow). He earned his M.E. in Information and Communication Engineering from the University of Science and Technology of China (2013) and a B.E. in Communication Engineering from Northwestern Polytechnical University (2010). His academic journey reflects his deep expertise in computing, communication, and AI-driven systems.

💼 Experience

Dr. Peng has held multiple research and industry positions. He is currently a Research Assistant Professor at The Hong Kong Polytechnic University. Previously, he served as a Research Assistant Professor at Hong Kong Baptist University (2020-2023) and as an R&D Manager at the Blockchain and FinTech Lab. In the industry, he worked as the Blockchain Technical Director at SF Technology in Shenzhen (2018-2019). Additionally, he was a Visiting Scholar at Stony Brook University, USA, working under Distinguished Prof. Yuanyuan Yang (IEEE Fellow).

🏆 Awards and Honors

Dr. Peng has received several prestigious awards, including the World’s Top 2% Scientists by Stanford University (2024) and the Award for High SFQ Score at PolyU ISE (2024). He was recognized with an ESI Highly Cited Paper (2023) and received the DASFAA-MUST Best Paper Award (2021). His work was also nominated for THE Awards Asia – Technological or Digital Innovation of the Year (2021). His numerous accolades highlight his contributions to academia, research, and technological innovation.

🔬 Research Focus

Dr. Peng’s research revolves around intelligent supply chains, AI-driven manufacturing, blockchain applications, and autonomous systems. His work on verifiable decentralized identity management, privacy-aware federated learning, and blockchain security has set new benchmarks in these fields. He continues to explore innovative solutions to improve efficiency, transparency, and security in digital ecosystems.

🔚 Conclusion

Dr. Zhe Peng is a visionary researcher at the intersection of AI, blockchain, and smart logistics. His groundbreaking research, academic excellence, and industry experience make him a leading expert in his field. Through his contributions to intelligent systems, federated learning, and blockchain security, he continues to shape the future of technological innovation. 🚀

🔗 Publications 

Lightweight Multimodal Defect Detection at the Edge via Cross-Modal Distillation

VDID: Blockchain-Enabled Verifiable Decentralized Identity Management for Web 3.0 

SymmeProof: Compact Zero-Knowledge Argument for Blockchain Confidential Transactions 

The Impact of Life Cycle Assessment Database Selection on Embodied Carbon Estimation of Buildings 

EPAR: An Efficient and Privacy-Aware Augmented Reality Framework for Indoor Location-Based Services

VFChain: Enabling Verifiable and Auditable Federated Learning via Blockchain Systems 

VQL: Efficient and Verifiable Cloud Query Services for Blockchain Systems 

Rania Sefti | Data Science | Best Researcher Award

Ms. Rania Sefti | Data Science | Best Researcher Award

Phd student, Université Mohammed Premier Oujda, Morocco

Sefti Rania is a passionate researcher specializing in numerical analysis, optimization, and image processing. With a robust academic background and extensive teaching experience, she is currently pursuing a Ph.D. in a joint program between Morocco and France. Her research focuses on developing advanced methods for medical image segmentation using deep learning techniques.

Profile

Scopus

 

Education 🎓

Ph.D. in Mathematics and Computer Science (Specialization: Numerical Analysis and Optimization, Image Processing, Deep Learning), Mohammed First University, Oujda, Morocco, University of Orleans, France (Since 2020). Master in Numerical Analysis and Optimization (Honors: Good), Mohammed First University, Oujda, Morocco (2019). Bachelor’s Degree in Mathematical Sciences and Applications (Honors: Fairly Good), Mohammed First University, Oujda, Morocco (2017). High School Diploma in Experimental Sciences (Honors: Good), Ibn El Haytam High School, Nador, Morocco (2012)

Experience 💼

Adjunct Lecturer at Mohammed First University, Oujda, Morocco (2020 – Present). Higher School of Technology (Specialty: MCT and LPMI). Faculty of Sciences (Specialty: SVT and SMPC). Modules taught include Mathematics and Analysis with a total of over 200 hours of instruction. Reviewer for numerous articles in Mathematics and Computer Science since 2022

Research Interests 🔬

Numerical Analysis and Optimization, Image Processing, Deep Learning, Medical Image Segmentation.

Awards 🏆

Numerous Publications in renowned journals and conferences in the field of numerical analysis and optimization. Presentation Awards for contributions at international conferences such as MACMAS, NT2A, and SMAI-SIGMA

Publications

A CNN-based spline active surface method with an after-balancing step for 3D medical image segmentation, Mathematics and Computers in Simulation. Link – Cited by:

C2 composite spline methods for fitting data on the sphere, Springer special volume of the SEMA-SIMAI Springer Series. (Accepted in June 2023) – Cited by:

PID-Snake: Progressive Iterative Deformation of a Snake model for segmentation of a variety of images, Journal of Computational and Applied Mathematics. (Submitted in June 2024) – Cited by:

Fine-tuned cubic generalized composite spline interpolation with optimal parameter, Mathematics in Computer Science. (Submitted in June 2024) – Cited by:

A deep network-based spline active contour method for medical image segmentation, Springer special volume of the SEMA-SIMAI Springer Series. (Submitted in 2024) – Cited by: