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

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🌱 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

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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

Assist Prof Dr. Dirriba Idahe | Transformational Leadership | Editorial Board Member

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Assist Prof Dr. Dirriba Idahe | Transformational Leadership | Editorial Board Member

Nanjing Agrcultural University, China 

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Orcid

Early Academic Pursuits 🎓

Dirriba Idahe Gemeda’s academic journey began with a clear focus on agricultural economics, a field that would shape his future contributions to both academia and the agricultural community. He earned his Bachelor’s degree in Agribusiness Management from Haramaya University in 2010, laying a strong foundation for his academic and professional development. His pursuit of knowledge continued with a Master of Science degree in Agricultural Economics from the same institution in 2014, where he deepened his understanding of economic analysis, agricultural policies, and market trends. These early academic pursuits honed his ability to critically analyze agricultural issues and paved the way for his future research endeavors.

Driven by a desire to make meaningful contributions to sustainable agricultural development, Dirriba expanded his academic horizons by pursuing a PhD in Agricultural Economics and Management at Nanjing University, China. Expected to graduate in 2027, his doctoral research will further refine his expertise, adding significant depth to his understanding of the challenges and opportunities within agricultural systems, particularly in developing economies.

Professional Endeavors 💼

In his professional life, Dirriba has demonstrated a deep commitment to academic excellence and community development. Since July 2016, he has served as a lecturer and researcher at Ambo University in Ethiopia. In this role, he has contributed to the academic landscape by teaching undergraduate and graduate courses in microeconomics, macroeconomics, value chain analysis, farm management, and project planning. His dedication to teaching is matched by his commitment to mentorship, guiding students in the development of research proposals and thesis projects.

In addition to his teaching responsibilities, Dirriba has been actively involved in research projects focused on agricultural policies, market trends, and sustainable farming practices. His research has been instrumental in identifying strategies to improve crop yields and economic outcomes for smallholder farmers. As a result, his work not only enriches the academic environment but also provides valuable insights that can be applied to enhance agricultural productivity in Ethiopia and beyond.

Before joining Ambo University, Dirriba worked as a lecturer at Madda Walabu University, where he further developed his expertise in agricultural economics. His teaching at Madda Walabu included courses in microeconomics, macroeconomics, value chain analysis, and farm management. The opportunity to shape the next generation of agricultural economists and contribute to national research was a pivotal part of his early career.

Contributions and Research Focus 📚

Dirriba’s research focus is centered on improving agricultural practices and understanding the economic dynamics within Ethiopia’s agricultural sector. He has conducted extensive studies on smallholder farmers’ participation in irrigation systems, value chain analysis, and dairy product market participation, all of which are critical to enhancing the livelihoods of rural households. His published work, such as his study on “Smallholder farmers’ participation in small-scale irrigation systems,” provides important insights into how farmers can better engage with irrigation technologies to improve productivity.

In addition to his work on irrigation, Dirriba has examined the supply and market opportunities for rose flowers, focusing on the Ethiopian horticultural industry. His research on the determinants of dairy product market participation in rural Ethiopia explores how household economic decisions impact the success of dairy farming and value chain integration. These studies showcase Dirriba’s ability to bridge theoretical concepts with real-world applications, ensuring that his research addresses practical challenges faced by farmers.

Accolades and Recognition 🏆

Dirriba’s commitment to academic excellence has earned him recognition both within Ethiopia and internationally. He has published multiple articles in reputable journals, contributing to the broader field of agricultural economics. His work is widely acknowledged for its rigorous analysis and practical implications for sustainable agriculture. As an editorial board member for the International Inventions Awards, Dirriba has also played a significant role in fostering innovation and research across diverse academic fields.

In addition to his scholarly achievements, Dirriba has been invited to present his research at national and international conferences, where his findings have sparked discussions on policy, sustainability, and economic development. His ability to convey complex ideas in accessible language has enhanced his reputation as a thought leader in agricultural economics.

Impact and Influence 🌍

Dirriba’s impact extends far beyond the classroom. Through his research, teaching, and community engagement, he has contributed to shaping agricultural policies and practices that are more sustainable and economically viable. His work on training development agents, community members, and farmers in sustainable agricultural practices has had a direct positive effect on rural Ethiopian communities. Through workshops and training sessions, Dirriba has empowered local farmers with the knowledge and tools they need to improve their agricultural practices and, by extension, their economic well-being.

Moreover, Dirriba’s influence is felt in the realm of agricultural education. His mentorship and guidance have helped numerous students develop into skilled professionals, many of whom have gone on to contribute significantly to Ethiopia’s agricultural sector. His emphasis on practical research and its application to local communities ensures that his students are equipped not only with theoretical knowledge but also with the ability to implement solutions that address real-world challenges.

Legacy and Future Contributions 🔮

Dirriba Idahe Gemeda’s legacy is already being established through his research, teaching, and community outreach. His work in agricultural economics has laid the groundwork for future advancements in Ethiopia’s agricultural sector, particularly in improving the livelihoods of smallholder farmers and promoting sustainable farming practices. As his doctoral research progresses, Dirriba is expected to make even more significant contributions to the field, particularly in the areas of agricultural policy, market dynamics, and sustainable development strategies.

Looking ahead, Dirriba is poised to continue his academic and professional journey with even greater focus on the intersection of economic development and environmental sustainability. His future research will likely explore emerging challenges in global food security, climate change adaptation, and rural economic empowerment, particularly in the context of Sub-Saharan Africa. Through his work, Dirriba aims to make a lasting impact on agricultural economics, ensuring that his contributions continue to foster innovation, sustainability, and growth in agricultural practices for years to come.