Wenyan Wu | Modeling | Best Researcher Award

Published on 18/10/202518/10/2025 by Composite Awards

Wenyan Wu | Modeling | Best Researcher Award

Dr. Wenyan Wu at Guangdong University of Technology | China

Dr. Wenyan Wu is an emerging researcher whose work focuses on the intersection of artificial intelligence, multimodal learning, and intelligent systems with applications in emotion recognition, sentiment analysis, and human-computer interaction. Since creating her ORCID record in August 2022, Dr. Wu has actively contributed to advancing research in cross-modal data analysis, integrating deep learning frameworks with cognitive and affective computing techniques. Her recent publication, “Modality-Enhanced Multimodal Integrated Fusion Attention Model for Sentiment Analysis” (Applied Sciences, 2025), introduces a novel attention-based fusion approach to improve sentiment analysis accuracy by effectively capturing inter-modal dependencies across text, audio, and visual cues. In “Collaborative Analysis of Learners’ Emotional States Based on Cross-Modal Higher-Order Reasoning” (Applied Sciences, 2024), Dr. Wu explores emotion-aware learning environments, presenting innovative reasoning mechanisms for identifying and analyzing learners’ affective states to enhance adaptive education systems. Her research on “Mask-Wearing Detection in Complex Environments Based on Improved YOLOv7” (Applied Sciences, 2024) demonstrates her interdisciplinary expertise, combining computer vision and deep neural networks to address real-world safety monitoring challenges. Earlier, her foundational study, “A Novel Method for Cross-Modal Collaborative Analysis and Evaluation in the Intelligence Era” (Applied Sciences, 2022), laid the groundwork for her later research by proposing an integrated model for data collaboration across modalities in intelligent environments. Dr. Wu’s scholarly output reflects her strong analytical and technical acumen, emphasizing multimodal integration, attention mechanisms, and deep learning optimization. Her contributions not only advance theoretical understanding but also provide practical frameworks for developing emotionally intelligent and context-aware AI systems, bridging the gap between computational models and human-centered design in modern intelligent applications.

Profile: Orcid

Featured Publications

Zhang, Z., Wu, W., Yuan, T., & Feng, G. (2025). Modality-enhanced multimodal integrated fusion attention model for sentiment analysis. Applied Sciences, 15(19), 10825.

Wu, W., Zhao, J., Shen, X., & Feng, G. (2024). Collaborative analysis of learners’ emotional states based on cross-modal higher-order reasoning. Applied Sciences, 14(13), 5513.

Feng, G., Yang, Q., Tang, C., Liu, Y., Wu, X., & Wu, W. (2024). Mask-wearing detection in complex environments based on improved YOLOv7. Applied Sciences, 14(9), 3606.

Wu, W., Hu, Q., Feng, G., & He, Y. (2022). A novel method for cross-modal collaborative analysis and evaluation in the intelligence era. Applied Sciences, 13(1), 163.

Ghulam Zakir Hassan | Groundwater Modeling | Best Researcher Award

Published on 25/07/202525/07/2025 by Composite Awards

Ghulam Zakir Hassan | Groundwater Modeling | Best Researcher Award

Dr. Ghulam Zakir-Hassan, Irrigation Research Institute, Pakistan.

Dr. Ghulam Zakir Hassan is a seasoned hydrologist and engineer from Pakistan with over 31 years of expertise in sustainable water resources management. He currently serves as Director at the Irrigation Research Institute, Punjab, Pakistan. A gold medalist in Agricultural Engineering from the University of Agriculture Faisalabad, he holds an M.Engg from AIT Thailand and a Ph.D. in Hydrology from Charles Sturt University, Australia. Dr. Hassan has presented his research globally in over 15 countries and is affiliated with numerous international water and engineering associations. His work focuses on groundwater modeling, climate resilience, and sustainable irrigation systems.

Professional Profile

Scopus

Orcid

Google Scholar

Education and Experience

Education:

Ph.D. (Hydrology) – Charles Sturt University, Australia (2024)
Thesis: Managed Aquifer Recharge in Punjab, Pakistan
M.Engg (Irrigation Engineering & Management) – AIT, Thailand (1993), CGPA 3.46/4.00
B.Sc. Agricultural Engineering – University of Agriculture, Faisalabad (1991), CGPA 3.88/4.00
First Position in University & Faculty, Two Gold Medals
F.Sc. – Govt. College Jhang (1987), 75% – A Grade
Matric – Govt. High School Jhang (1984), 87% – A-One Grade

Experience:

Over 31 years (1993–present) in:
- Groundwater management & modeling
- Water policy, irrigation planning, canal lining
- Climate change adaptation
- Drainage & flood management
- Project coordination, training, geotechnical analysis
- Software expertise: ARCMAP, MODFLOW, NVivo, EndNote

Suitability Summary for the Best Researcher Award

Dr. Ghulam Zakir Hassan is an exceptional candidate for the Best Researcher Award, bringing over 31 years of impactful research, policy engagement, and practical innovation in the fields of hydrology, groundwater management, and irrigation engineering. His recent completion of a Ph.D. in Hydrology from Charles Sturt University, Australia (2024), and his extensive national and international contributions reflect a career marked by dedication to sustainable water resource development, particularly in climate-vulnerable regions like Punjab, Pakistan.

Professional Development

Dr. Hassan has actively pursued continuous professional development both nationally and internationally. He has participated in advanced training across 10+ countries including Australia, China, Thailand, and Iran, focusing on groundwater modeling, climate change, water governance, and GIS technologies. Nationally, he attended over 25 specialized workshops on geotechnical investigations, project planning, disaster management, and environmental impact analysis. His training also includes courses on communication, academic writing, and leadership, equipping him with the strategic, technical, and communicative tools required for interdisciplinary water resource planning. He remains deeply engaged in knowledge-sharing through conferences and training workshops, building institutional and community capacities.

Research Focus

Dr. Ghulam Zakir Hassan’s research is centered on groundwater sustainability, hydrologic modeling, and climate change impacts on water systems. He has conducted in-depth studies on managed aquifer recharge, groundwater governance, canal seepage control, and the effects of global warming on water-food productivity in the Indus Basin. His focus also extends to rainwater harvesting, floodwater storage, and sustainable irrigation technologies under shifting climatic patterns. Through national and international platforms, he has emphasized innovative water management strategies essential for developing countries. His work contributes to practical solutions addressing water scarcity, recharge enhancement, and climate-resilient agriculture.

Awards and Recognition

Dr. Ghulam Zakir Hassan received two gold medals for securing first position in B.Sc. Agricultural Engineering from the University of Agriculture Faisalabad. He was awarded the prestigious Australia Awards in 2014 for training in sustainable irrigation. He has represented Pakistan at major international forums such as ICID and the World Bank and served as Vice President of the Postgraduate Student Association at Charles Sturt University (2020–2024). His memberships in over 15 national and international professional bodies and frequent invitations to present at global conferences reflect his recognition as a leading expert in groundwater and water resource management.

A Water Balance Model to Estimate Groundwater Recharge in Rechna Doab, Pakistan, Cited by: 67, 1996
Sustainable Use of Groundwater for Irrigated Agriculture: A Case Study of Punjab, Pakistan, Cited by: 24, 2017
Environmental Issues and Concerns of Groundwater in Lahore, Cited by: 20, 2016
Optimising Canal and Groundwater Management to Assist Water User Associations in Maximizing Crop Production and Managing Salinisation in Australia and Pakistan, Cited by: 17, 2016
Physicochemical Investigation of Rainfall for Managed Aquifer Recharge in Punjab (Pakistan), Cited by: 14, 2022
Impact of Floods on Groundwater—A Case Study of Chaj Doab in Indus Basin of Pakistan, Cited by: 14, 2021
Human Health Risk of Heavy Metal Contamination in Groundwater and Source Apportionment, Cited by: 13, 2022

Memet Şahin | Modeling | Best Researcher Award

Published on 11/07/202511/07/2025 by Composite Awards

Memet Şahin | Modeling | Best Researcher Award

Prof. Dr. Memet Şahin, Gaziantep University, Turkey.

Prof. Dr. Memet Şahin 🎓 is a distinguished academic in mathematics, specializing in algebra, mathematical logic, and fuzzy measures. He earned his Ph.D. in Mathematics from Karadeniz Technical University in 2004, with a focus on generalized 963-algebras and fuzzy measures. His academic career spans over three decades, primarily at Gaziantep University 📘, where he has served in various roles from Research Assistant to Professor. A dedicated educator and researcher, Prof. Şahin has significantly contributed to the field of functional analysis, algebraic structures, and logic. His passion for mathematics and education continues to inspire students and fellow scholars alike. 🔍📚

Publication Profiles

Google Scholar

Education & Experience

👨‍🏫 Teaching & Academic Roles:

Instructor & Guest Lecturer, University of Cyprus 📚
Secondary Education Teacher, Greece (Geology, Physics, Chemistry, Math) 👨‍🏫
Lab Supervisor & Seminar Leader for Corrosion & Materials Science 🧫

Suitability for the Award

Prof. Dr. Memet Şahin, a prominent scholar at Gaziantep University, is highly suitable for the Best Researcher Award due to his profound and sustained contributions to mathematics, especially in the fields of algebra, mathematical logic, and fuzzy systems. His research over more than 30 years has significantly advanced foundational mathematics and inspired academic inquiry in both theoretical and applied domains.

Professional Development

Prof. Dr. Memet Şahin has continually advanced his professional career through rigorous academic involvement and interdisciplinary study 📘. Beginning as a Research Assistant in the early 90s, he steadily progressed through academic ranks to attain full professorship by 2020 🎓. His background uniquely combines mathematics and law, demonstrating a broad intellectual horizon ⚖️🧠. Throughout his career at Gaziantep University, he has actively contributed to curriculum development, research mentoring, and publication in high-impact journals. His experience across multiple mathematical subfields and openness to interdisciplinary dialogue underline his dedication to lifelong learning and academic leadership 🌟📖.

Research Focus

Prof. Şahin’s research primarily focuses on algebraic structures, particularly generalized algebras (F-algebras, D-algebras, 963-algebras) and mathematical logic 🤖. He has delved deeply into functional analysis and fuzzy measure theory 🌫️, bridging abstract mathematical theory with real-world applications. His work often intersects set theory, logic, and algebraic frameworks, contributing valuable insights into the foundations of mathematics 📐. Additionally, his studies explore mathematical modeling in complex systems where logical structures and uncertainty are key. His contributions enhance the mathematical understanding of fuzzy logic systems and algebraic generalizations. 🔍📊

Awards & Honors

🏅 Promotion to Full Professorship – Gaziantep University (2020)
🥇 Recognized for Outstanding Service in Mathematical Education – Gaziantep University
🎖️ Honored for Contributions to Algebraic Logic and Functional Analysis Research
📜 Multiple student-supervised theses accepted with distinction
📚 Acknowledged for Interdisciplinary Achievement in Justice and Mathematics

Publication Top Noted

Similarity measures of bipolar neutrosophic sets and their application to multiple criteria decision making – 220 citations, 2018 ⚖️
Neutrosophic soft expert sets – 137 citations, 2015 👥
Neutrosophic Sets: An Overview – 125 citations, 2018 📚
Neutrosophic triplet G-module – 99 citations, 2018 📐
Generalized Neutrosophic Soft Expert Set For Multiple-Criteria Decision Making – 89 citations, 2019 🧮
A new approach for multi-attribute decision-making problems in bipolar neutrosophic sets – 89 citations, 2018 🧭
Neutrosophic triplet normed space – 84 citations, 2017 🧱
A new similarity measure based on falsity value between single valued neutrosophic sets… – 81 citations, 2017 🔍