Ms. Mafaza | Innovative Leadership | Best Researcher Award

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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

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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

Assoc Prof Dr. Mohan Li | Innovative Leadership | Best Researcher Award

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Assoc Prof Dr. Mohan Li | Innovative Leadership | Best Researcher Award

Guangdong University of Finance and economics, China

Author profile

Orcid

Professional Endeavors 🧑‍🏫

Currently serving as a lecturer in Tourism Management at the School of Cultural Tourism and Geography, Guangdong University of Finance & Economics, Mohan Li has taken on multifaceted responsibilities that extend far beyond classroom instruction. He plays a key role in delivering comprehensive undergraduate and postgraduate modules that span tourism marketing, tourist behavior, wine tasting, visual culture in tourism, and research methods. His teaching is marked by a clear commitment to academic excellence and pedagogical innovation.

Mohan is also deeply engaged in student support outside the classroom. He supervises academic projects and guides students through professional placements, national tourism competitions, and other experiential learning activities. His mentoring has inspired numerous students to pursue tourism studies more passionately, helping them bridge the gap between theory and industry practice. His vibrant teaching style and approachable demeanor have earned him a reputation as a respected and supportive educator among students and colleagues alike.

Contributions and Research Focus 🔬

At the heart of Mohan Li’s academic identity lies a strong commitment to research. His areas of inquiry are diverse yet interconnected, encompassing mobilities, tourism marketing, tourist behavior, material culture, and the aesthetics and politics of tourism visuality. His scholarly work examines how tourists perceive and interact with destinations, how visual and material cues affect tourist decisions, and how tourism marketing shapes both place identity and tourist expectations.

Mohan’s current research investigates the nuanced interplay between material culture and tourist experience, especially within the context of visual representation and digital media. By delving into how destinations are constructed, consumed, and remembered visually, he contributes to the evolving discourse on the image-based consumption of places in the age of Instagram and TikTok. This focus is timely and essential, given the increasing role that visuals play in global tourism narratives.

Accolades and Recognition 🏆

While Mohan remains modest in demeanor, his efforts have not gone unnoticed. He has gained respect within the academic community for his contributions to innovative teaching and his forward-looking research. His involvement in national tourism student competitions as a mentor has led to student recognition at various levels. His dedication to curriculum development and student-centered teaching has also contributed significantly to the academic reputation of his faculty.

Though early in his academic career, Mohan has been praised for his interdisciplinary research perspectives and for introducing contemporary themes into tourism education, such as visual storytelling, digital tourism marketing, and the emotional geography of travel experiences.

Impact and Influence 🌏

Mohan Li’s influence is felt not only within the university but also in the broader field of tourism studies in China. His teaching has shaped the perspectives of future tourism professionals, marketers, and researchers. By equipping students with critical analytical tools and encouraging them to explore both traditional and modern dimensions of tourism, he plays a pivotal role in shaping tourism education in Guangdong and beyond.

In addition, his research is beginning to resonate with wider academic audiences, especially those interested in cultural geography, visual studies, and consumer behavior. Mohan’s focus on the aesthetics and affective dimensions of travel experiences reflects a progressive and culturally informed approach to tourism studies.

Legacy and Future Contributions 🌟

Looking ahead, Mohan Li is poised to make further contributions to tourism academia and practice. His ongoing projects are set to expand current understandings of how visual representation and materiality intersect with tourist behavior. He is likely to play an important role in bridging the gap between academic research and the operational realities of tourism marketing, offering insights that are both theoretically grounded and practically applicable.

Moreover, Mohan’s collaborative spirit and interdisciplinary vision position him well for future leadership in research networks, curriculum reform, and tourism consultancy. His legacy will not only be in his publications or accolades, but also in the students he inspires, the colleagues he uplifts, and the industry practices he helps to innovate.

Notable publications 

Understanding the airborne experiences of passengers with depression in long-haul air travels

Author: Mohan Li
Journal: Tourism Management
Year: 2025

 Power and the visual consumption of tourist place in the digital age

Author: Mohan Li
Book: Handbook of Tourism and Consumer Behavior
Year: 2024

The role of air in the sustainable development of urban destinations

Author: Mohan Li
Book: Handbook on Sustainable Urban Tourism
Year: 2024

Chineseness and behavioural complexity: rethinking Chinese tourist gaze studies

Author: Mohan Li
Journal: Tourism Review
Year: 2022

Towards an understanding of Chinese tourist photography: evidence from the UK

Author: Mohan Li
Book: Current Issues in Asian Tourism: Volume II
Year: 2021

Prof Dr. Guangming Yuan | Innovative Leadership | Best Researcher Award

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Prof Dr. Guangming Yuan | Innovative Leadership | Best Researcher Award

Central South University of Forestry and Technology, China

Author Profile

Scopus

Early Academic Pursuits 🎓

Professor Guangming Yuan’s academic journey began with a solid foundation in engineering, which he pursued at Nanjing Forestry University, where he obtained his Bachelor’s degree in Wood-Based Panel in 1983. His dedication to deepening his understanding of materials science led him to continue his education at Central South University of Forestry and Technology, where he earned a Doctor of Engineering degree in 2008. His research in wood science and technology laid the groundwork for a successful career dedicated to innovative material science applications, especially focusing on wood and wood-based composites. This period of education and early training nurtured his passion for research, helping him to develop expertise that he later applied to solving pressing industrial challenges.

Professional Endeavors and Career Development 📚

After completing his doctoral studies, Professor Yuan embarked on a professional career at the College of Materials Science and Engineering, Central South University of Forestry and Technology. He initially worked as a Lecturer/Senior Lecturer at Hunan Forestry School from 1989 to 1999, before moving on to the role of Associate Professor at his current institution in 2000. Over the years, Professor Yuan’s career flourished, culminating in his appointment as a Professor in 2011. His professional journey reflects his unwavering dedication to his field, not only in academia but also in his involvement with industry-oriented research projects aimed at improving the performance of materials like wood and composites. Throughout his tenure, he has played a vital role in fostering collaboration and facilitating knowledge transfer between academia and industry.

Contributions and Research Focus 🔬

Professor Yuan has always been at the forefront of innovations in material science, particularly focusing on wood functional improvement, biomass energy, and materials. His research centers around the application of biomimetic mineralization techniques to enhance the properties of wood and related materials. This research focuses on the development of green composites, fire-resistant materials, and biodegradable products. His groundbreaking work on organo-inorganic hybrid structures, aimed at improving the mechanical and fire-resistant properties of wood through biomineralization, has resulted in notable innovations. Yuan’s contributions to the field have led to multiple patents in areas such as flame-retardant coatings and sol-gel fireproof films, marking a significant impact on both scientific research and practical applications in industries reliant on wood and fiber-based materials.

In addition to these innovative areas, Professor Yuan has led numerous research projects that bridge the gap between materials science and environmental sustainability. His contributions have resulted in several high-impact publications in well-regarded journals, where his work continues to shape the direction of future research in his field.

Accolades and Recognition 🏅

Professor Yuan’s work has been widely recognized by both his peers and the broader scientific community. His research has earned a notable citation index of 684, underscoring the widespread influence of his work in the scientific literature. Yuan’s contributions have also led to his involvement in various high-profile patents, many of which have direct applications in the manufacturing of advanced composite materials, flame-resistant coatings, and bio-based products. These innovations have the potential to revolutionize industries ranging from construction to energy.

His recognition extends beyond publications and patents to his role as a mentor. Yuan has guided numerous graduate students and researchers, helping them develop critical thinking skills and deep expertise in the field of material science. His dedication to nurturing young scholars has made him an invaluable asset to both his institution and the broader academic community.

Impact and Influence 🌍

Professor Yuan’s research has had a profound impact on the scientific community, not only in the field of wood science and technology but also in the development of sustainable materials. His work has contributed to improving the performance of wood-based products, making them more versatile, durable, and environmentally friendly. Through his collaborations with industry partners, he has helped to translate his research findings into practical applications that benefit society.

The innovative nature of Yuan’s work has positioned him as a leader in the field of biomass materials and green composites. His contributions extend beyond technical achievements to his ability to inspire and empower future generations of scientists, researchers, and engineers. Yuan’s dedication to academic excellence, innovation, and sustainability continues to shape the future of materials science.

Legacy and Future Contributions 🌱

As Professor Yuan looks to the future, his work continues to be guided by a strong commitment to advancing the field of materials science through sustainable practices and innovative solutions. His future contributions will likely focus on developing more environmentally friendly materials and enhancing the resilience of wood-based products through novel biomimetic techniques. Yuan’s ongoing research promises to address global challenges such as climate change, resource conservation, and the development of sustainable building materials.

The legacy of his work is marked by both the innovations he has introduced and the generations of scholars he has mentored. As a committed educator and researcher, Professor Yuan has cultivated a lasting influence on his field, and his continued efforts will undoubtedly pave the way for even greater advancements in material science and sustainability.

His passion for pushing the boundaries of knowledge, fostering interdisciplinary collaboration, and driving environmental sustainability ensures that his legacy will continue to inspire and shape the future of research and innovation. Through his dedication, Yuan exemplifies how academic pursuit, innovation, and mentorship can create a lasting impact on both science and society.