Assoc. Prof. Dr Rui Mao – Artificial intelligence – Best Researcher Award

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Assoc. Prof. Dr Rui Mao - Artificial intelligence - Best Researcher Award

Northwest A&F University - China

AUTHOR PROFILE 

SCOPUS 

ORCID 

EARLY ACADEMIC PURSUITS 🎓

Rui Mao’s academic journey began with a master’s degree from Xi’an JiaoTong University, where she developed a keen interest in the application of technology in agriculture. She then pursued a Ph.D. from Northwest A&F University, where her research focused on the intersection of machine learning, image processing, and agriculture. Her strong foundation in these fields allowed her to push the boundaries of innovation in precision agriculture, laying the groundwork for her future research endeavors.

PROFESSIONAL ENDEAVORS 🏫

As an Associate Professor at Northwest A&F University, Rui Mao has been a key figure in bridging the gap between computer science and agriculture. Her extensive academic career includes presiding over four key research and development programs in Shaanxi Province. Additionally, she has contributed to multiple consultancy and industry projects, providing expert guidance on the implementation of machine learning and image processing in real-world agricultural settings.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Rui’s research focuses on machine learning, image processing, and pattern recognition, with a primary emphasis on precision agriculture. Her projects have led to the development of innovative solutions for improving agricultural productivity and sustainability. By integrating advanced technologies, her research provides practical applications for improving crop Artificial intelligence management, pest control, and resource optimization. She is also pioneering work on digital agriculture through her collaborations and ongoing projects, which are poised to transform the agricultural industry.

ACCREDITATIONS AND RECOGNITION 🏅

Rui Mao’s work has earned her significant recognition in the scientific community. With a citation index of 128 and 12 publications in prestigious journals, her research has had a considerable impact on the fields of agriculture and technology. Her contributions to digital agriculture and image processing have positioned her as a leading figure in her field. Rui’s expertise is further Artificial intelligence acknowledged through her membership in esteemed professional bodies such as the China Computer Society and the China Association of Image Graphics.

IMPACT AND INFLUENCE 🌍

Rui’s influence extends beyond academia. As a senior member of the China Computer Society and an executive committee member of its Digital Agriculture Branch, she has shaped the Artificial intelligence direction of research in the application of computer science to agriculture. Her work has contributed to the development of smarter, more efficient agricultural practices, which are essential for meeting global food security challenges. Through her innovations, Rui has directly impacted the agricultural technology landscape in China and beyond.

LEGACY AND FUTURE CONTRIBUTIONS 🌱

Rui Mao’s future work promises to continue advancing the integration of machine learning and image processing in agriculture. Her ongoing research on digital agriculture and precision farming has the potential to revolutionize farming practices globally, ensuring more sustainable and efficient food production. As a passionate educator and researcher, Rui is poised to inspire future generations of scientists and innovators, further solidifying her legacy as a pioneer in agricultural technology and machine learning applications.

NOTABLE PUBLICATIONS 

  • Title: A Real-Time Lightweight Behavior Recognition Model for Multiple Dairy Goats
    Authors: Xiaobo Wang, Yufan Hu, Meili Wang, Mei Li, Wenxiao Zhao, Rui Mao
    Journal: Animals (2024-12)
    DOI: 10.3390/ani14243667
  • Title: An Integrated Gather-and-Distribute Mechanism and Attention-Enhanced Deformable Convolution Model for Pig Behavior Recognition
    Authors: Rui Mao, Dongzhen Shen, Ruiqi Wang, Yiming Cui, Yufan Hu, Mei Li, Meili Wang
    Journal: Animals (2024-04)
    DOI: 10.3390/ani14091316
  • Title: GSEYOLOX-s: An Improved Lightweight Network for Identifying the Severity of Wheat Fusarium Head Blight
    Authors: Rui Mao, Zhengchao Wang, Feilong Li, Jia Zhou, Yinbing Chen, Xiaoping Hu
    Journal: Agronomy (2023-01)
    DOI: 10.3390/agronomy13010242

Mr. md Ali Akber – Natural Language Processing – Excellence in Innovation

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Mr. md Ali Akber - Natural Language Processing - Excellence in Innovation

AHSANULLAH UNIVERSITY OF SCIENCE AND TECHNOLOGY - Bangladesh

Author Profile

GOOGLE SCHOLAR

🌱 Early academic pursuits

md Ali Akber's academic journey began with a strong foundation in computer science and engineering. in 2023, he earned his bachelor's degree from ahsanullah university of science and technology, bangladesh, with a remarkable gpa of 3.592. his academic curiosity was demonstrated through a thesis focused on natural language processing (nlp), a cutting-edge field at the intersection of linguistics and machine learning. this research solidified his expertise and passion for exploring language technology and computational algorithms, positioning him for a future in academia and research.

💼 Professional endeavors

since february 2024, md Ali Akber has been serving as a lecturer at daffodil international university (diu) in the department of software engineering. his role encompasses a wide range of academic responsibilities, from teaching theory courses to conducting lab sessions and mentoring students. his teaching portfolio includes key courses like "introduction to software engineering," "data structure lab," and "object-oriented concepts," highlighting his versatility and expertise in guiding the next generation of software engineers.

📚 Contributions and research focus

md Ali Akber’s research contributions are making waves in the field of natural language processing and personality analysis. his publication on "personality and emotion – a comprehensive analysis using contextual text embeddings" breaks new ground by using machine learning to explore the complex relationship between Natural Language Processing personality traits and emotions through social media analysis. another significant work, "personality prediction based on contextual feature embedding sbert," focuses on automating personality predictions using sentence transformers and machine learning models. his research, blending advanced algorithms with human behavioral studies, showcases his commitment to impactful and innovative research.

🏆 Accolades and recognition

through his research publications in reputable journals and conferences, md ali akber has garnered recognition in the academic community. his work on personality prediction and the explainability of machine learning models in news category classification has been particularly well-received, with his model achieving outstanding Natural Language Processing accuracy, far surpassing contemporary benchmarks. his contributions to machine learning and artificial intelligence are setting a high bar in the field, as seen in his successful publications in prestigious platforms such as the ieee region 10 symposium and the natural language processing journal.

🌍 Impact and influence

md Ali Akber’s work has had a broad-reaching impact, particularly in the application of machine learning to personality prediction and nlp. his research not only contributes to academic knowledge but also offers practical applications, especially in understanding human behavior through digital footprints. by exploring the Natural Language Processing intersection of artificial intelligence and psychology, he is paving the way for more intuitive and responsive human-computer interactions. his teachings and mentorship at diu further amplify his influence by shaping the minds of young engineers.

🔮 Legacy and future contributions

looking ahead, md Ali Akber is poised to continue his work at the frontier of natural language processing and artificial intelligence. his dedication to the explainability of machine learning models reflects a broader commitment to ethical ai development, ensuring that future systems are both transparent and user-friendly. as he progresses in his career, he will likely contribute more groundbreaking research, further advancing the understanding of machine learning's role in human-computer interaction and behavioral analysis.

Notable Publications 

  1. Title: Personality Prediction Based on Contextual Feature Embedding SBERT
    Authors: MA Akber, T Ferdousi, R Ahmed, R Asfara, R Rab
    Journal: 2023 IEEE Region 10 Symposium (TENSYMP), 1-5 (2023)
  2. Title: Personality and Emotion—A Comprehensive Analysis Using Contextual Text Embeddings
    Authors: A Akber, T Ferdousi, R Ahmed, R Asfara, R Rab, U Zakia
    Journal: Natural Language Processing Journal, 100105 (2024)
  3. Title: Interpretability of Machine Learning Algorithms for News Category Classification Using XAI
    Authors: N Tabassoum, MA Akber
    Journal: 2024 6th International Conference on Electrical Engineering and Information (2024)

Prof. Larbi Boubchir – Artificial intelligence – Best Researcher Award

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Prof. Larbi Boubchir - Artificial intelligence - Best Researcher Award

University of Paris 8 - France

Author Profile

SCOPUS 

ORCID

🌱 Early academic pursuits

Larbi Boubchir began his academic journey with a strong foundation in engineering, obtaining a bachelor's degree (beng) in engineering. his passion for advancing knowledge led him to pursue further studies, earning a diplôme d'études approfondies (dea) in applied mathematics and signal processing. he culminated his formal education with a phd and habilitation à diriger des recherches (hdr), solidifying his expertise in computer science and signal processing.

💻 Professional endeavors

Professor boubchir is currently a full professor at the university of paris 8, where he has made significant contributions since september 2021. he holds several key positions, including deputy director of the liasd laboratory and head of the iusd research group. his leadership extends to academic programs as well, where he oversees master's programs in cyber security, data science, and big data within the department of computer science & digital technologies. prior to his tenure at paris 8, he contributed to cutting-edge research at the french national centre for scientific research (cnrs) and served as a teaching-research fellow at northumbria university, uk.

🧠 Contributions and research focus

Dr. boubchir's research interests span a broad spectrum of cutting-edge fields, including artificial intelligence, biometrics, artificial learning, Artificial intelligence feature engineering, biomedical signal processing, and image processing. he has authored and co-authored over 100 publications, reflecting his deep engagement with these domains. his research not only advances theoretical knowledge but also has practical applications in areas like cybersecurity and healthcare, making significant impacts on both academia and industry.

🏅 Accolades and recognition

Professor boubchir's expertise has been widely recognized in the academic community. he is a senior member of the ieee and is affiliated with various prestigious ieee societies such as ieee sps, ieee embs, ieee smc, ieee computer society, and ieee biometrics council. his leadership in organizing international workshops, including those on machine learning for eeg signal processing and artificial learning for cybersecurity, Artificial intelligence underscores his standing as a thought leader in his field. in addition to his academic accolades, he serves on editorial boards and as an associate editor for numerous journals, further establishing his influence in the global research community.

🌍 Impact and influence

Through his research and leadership, dr. boubchir has significantly influenced the fields of artificial intelligence and data science. his work on biomedical signal processing and image processing has contributed to advancements in healthcare technologies, while his research in Artificial intelligence cybersecurity has provided new insights into protecting digital systems. his role in organizing international workshops has fostered global collaboration and knowledge exchange, further extending his impact beyond france to the international research community.

📚 Legacy and future contributions

As a full professor and a leader in multiple academic and research initiatives, larbi boubchir's legacy is one of innovation and education. his ongoing research and mentorship are shaping the next generation of scientists and engineers. with his continuous involvement in cutting-edge research and his dedication to academic excellence, professor boubchir is poised to make even more significant contributions to the fields of artificial intelligence, cybersecurity, and biomedical engineering in the years to come.

Notable Publications 

Probabilistic Decision Tree Ensembles for Detecting Infectious Diseases using Routine Blood Tests  2024

Enhancing 2D-3D facial recognition accuracy of truncated-hiden faces using fused multi-model 2024

Enhancing Shared Image Security in Networked Environments: A Digital Watermarking Approach 2024(1)

Deep Face Recognition based on an Optimized Deep Neural Network using ZFNet 2023

Conventional and Heterogeneous Cascade Reservoir Computing for Arrhythmia Detection 2023