Ilya Levin | Artificial Intelligence | Research Excellence Award

Prof. Ilya Levin | Artificial Intelligence | Research Excellence Award

Professor | Holon Institute of Technology | Israel

Prof. Ilya Levin is a researcher at Holon Institute of Technology, specializing in artificial intelligence, machine learning, and educational technology. His research focuses on computational thinking, neural networks, and AI-driven learning systems. He has strong expertise in algorithm design and interdisciplinary innovation. His contributions are recognized through impactful publications and academic work. According to Scopus, he has 552 citations, 88 documents, and an h-index of 13, reflecting his significant impact in AI and education research.

 

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Featured Publications


Culture and Society in the Digital Age

– Information, 2021 (Citations: 275)


Massive open online courses – the modern concept in education and learning

– Vestnik Tomskogo State University, 2014 (Citations: 133)


Teaching machine learning in elementary school

– International Journal of Child-Computer Interaction, 2022 (Citations: 82)

 

Muhammad Furqan Zia | Artificial Intelligence | Young Scientist Award

Mr. Muhammad Furqan Zia | Artificial Intelligence | Young Scientist Award

Researcher | Université du Québec à Trois-Rivières | Canada

Mr. Muhammad Furqan Zia is an emerging researcher at Université du Québec à Trois-Rivières, specializing in artificial intelligence and semantic communication. His research focuses on explainable AI and intelligent communication systems, addressing transparency and efficiency challenges. He has skills in AI modeling, data analysis, and system design, contributing to scholarly publications. His work is gaining recognition in the research community. According to Scopus, he has 5 citations, 4 documents, and an h-index of 2, reflecting his growing academic impact.

 

Citation Metrics (Scopus)

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Featured Publications


An Advanced Non-Orthogonal Multiple Access Security Technique for Future Wireless Communication Networks

– RS Open Journal on Innovative Communication Technologies, 2020 (Citations: 27)

 

Mingshou An | Artificial Intelligence | Excellence in Research Award

Mr. Mingshou An | Artificial Intelligence | Excellence in Research Award

Lecturer | Xi’an Technological University | China

Mr. Mingshou An is an emerging researcher affiliated with Dong-A University, Busan, South Korea, recognized for his contributions to computer science and intelligent image processing. His research primarily focuses on deep learning, image denoising, medical and natural image enhancement, convolutional neural networks, U-Net architectures, and multi-scale attention mechanisms, with a strong emphasis on improving image quality and model efficiency. He possesses solid research skills in machine learning, deep neural network design, algorithm optimization, data preprocessing, model evaluation, and scientific computing, supported by hands-on experience in developing advanced attention-based architectures. His notable work includes an open-access publication on Multi-scale Attention Dense U-Net for image denoising, reflecting innovation in AI-driven image restoration. According to Scopus, Mr. An has 11 research documents, 15 citations , and an h-index of 3, demonstrating growing academic impact. While formal awards and honors are not yet listed, his citation growth indicates rising recognition. In conclusion, Mr. Mingshou An represents a promising researcher whose work contributes meaningfully to the advancement of intelligent imaging and deep learning applications.

Citation Metrics (Scopus)

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15

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11

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View Scopus Profile
View ORCID Profile

Featured Publications


A Method of Visual Positioning of Tank Truck Openings via Two-Stage Fine-Tuning


– Book Chapter, 2025 | DOI: 10.1007/978-3-031-94962-3_14


An Enhanced LSTM with Hippocampal-Inspired Episodic Memory for Urban Crowd Behavior Analysis


– Electronics (Journal), 2025 | DOI: 10.3390/electronics15010101


A Method of Image Denoising via Dense Attention DnCNN


– Book Chapter, 2024 | DOI: 10.1007/978-981-97-4182-3_43


Fusion Self-Attention Feature Clustering Mechanism Network for Person ReID


– Book Chapter, 2024 | DOI: 10.1007/978-981-99-9416-8_55


A Study on Deep Learning Algorithm for Fire Detection based on Attention BiFPN


– Journal of Korean Institute of Information Technology, 2024 | DOI: 10.14801/jkiit.2024.22.9.1