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

Posted on by sciencefather

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

Prof. Irina Perfilieva – machine learning – Best Researcher Award 

Posted on by sciencefather

Prof. Irina Perfilieva - machine learning - Best Researcher Award 

University of Ostrava - Czech Republic

AUTHOR PROFILE 

ORCID 

🎓 EARLY ACADEMIC PURSUITS

Professor Irina Perfilieva embarked on her academic journey at the prestigious Lomonosov State University in Moscow, Russia, where she earned her M.S. in Applied Mathematics in 1975, followed by a Ph.D. in 1980. Her early academic endeavors laid a solid foundation in applied mathematics, setting the stage for her future contributions to the field.

🏫 PROFESSIONAL ENDEAVORS

Irina Perfilieva holds the position of full professor of Applied Mathematics at the University of Ostrava in the Czech Republic. Her esteemed career has included roles as Professor Honoris Causa at the Amity Institute of Information Technology, India, and Doctor Honoris Causa at the University of Latvia. Throughout her professional journey, she has been an influential figure in the academic community, especially in the realm of fuzzy logic and applied mathematics.

📚 CONTRIBUTIONS AND RESEARCH FOCUS

Professor Perfilieva has made significant contributions to the field of fuzzy logic and mathematical modeling. She is the author and co-author of six influential books and has published over 270 papers. Her pioneering method of fuzzy transforms has found successful applications in image and time series processing, numerical analysis, and solving complex equations. Her machine learning research also delves into data analysis and the mathematical foundations of neural networks, utilizing both modern and classical approaches.

🏆 ACCOLADES AND RECOGNITION

Her extensive contributions to the scientific community have earned her numerous awards, including being named an IFSA Fellow and an honorary member of EUSFLAT. In 2012, she was the machine learning recipient of the 1st memorial Da Ruan award. These accolades reflect her esteemed status and the impact of her work globally.

🌍 IMPACT AND INFLUENCE

As an area editor for Soft Computing and a member of several prestigious editorial boards, Professor Perfilieva has influenced the direction of research in fuzzy systems. She has also served on machine learning Program Committees for leading international conferences, further amplifying her impact in the academic and research communities.

🌟 LEGACY AND FUTURE CONTRIBUTIONS

With her innovations in fuzzy logic and mathematical modeling, Irina Perfilieva's work continues to shape future research. Her methods are widely accepted and applied, demonstrating a legacy of academic excellence and practical utility. Her ongoing exploration into data analysis and neural networks signifies her commitment to advancing knowledge in these critical areas.

NOTABLE PUBLICATIONS 

  • Title: "A critical analysis of the theoretical framework of the Extreme Learning Machine"
    Authors: Irina Perfilieva, Nicolás Madrid, Manuel Ojeda-Aciego, Piotr Artiemjew, Agnieszka Niemczynowicz
    Journal: Neurocomputing
  • Title: "Extreme Learning Machine – A New Machine Learning Paradigm"
    Author: Irina Perfilieva
    Journal: Book Chapter (part of a book series, not a journal)
  • Title: "F-transform utility in the operational-matrix approach to the Volterra integral equation"
    Authors: Perfilieva, Irina; Ziari, Shokrollah; Nuraei, Rahele; Pham, Thi Minh Tam
    Journal: Fuzzy Sets and Systems
  • Title: "Generalized Fuzzy Transform and Non-Local Laplace Operator"
    Authors: Hana Zamecnıkova, Simone Cammarasana, Irina Perfilieva, Giuseppe Patane
    Journal: IEEE Transactions on Fuzzy Systems
  • Title: "Numerical solution of a new mathematical model for intravenous drug administration"
    Authors: Alijani, Zahra; Shiri, Babak; Perfilieva, Irina; Baleanu, Dumitru
    Journal: Evolutionary Intelligence

Prof. Larbi Boubchir – Artificial intelligence – Best Researcher Award

Posted on by sciencefather

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