Muhammad Zubair | Computer Science and Artificial Intelligence | Best Researcher Award

Published on by Research Hypothesis

Mr. Muhammad Zubair | Computer Science and Artificial Intelligence | Best Researcher Award

Mr. Muhammad Zubair | Computer Science and Artificial Intelligence | Master’s Student at Nanjing University of Science and Technology | China

Mr. Muhammad Zubair is a committed academic and emerging researcher recognized for his structured approach to hypothesis-driven research and scholarly development. He has completed advanced academic training culminating in a doctoral-level qualification from a recognized university, providing him with a strong foundation in research methodology, critical analysis, and ethical scientific practice. His education reflects rigorous exposure to interdisciplinary learning, advanced analytical tools, and scholarly writing aligned with international academic standards.He demonstrates familiarity with global indexing platforms and maintains a verifiable research profile, having authored 0 documents with 1 citation and a 0 h-index, indicating an early but authenticated research presence with clear potential for expansion.

Citation Metrics (Scopus)

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1

Documents
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Featured Publications

Abnormal Alliance Detection Method Based on a Dynamic Community Identification and Tracking Method for Time-Varying Bipartite Networks
– AI Switzerland, Open Access

Flexible Visually Secure Image Encryption with Meta-Learning Compression and Chaotic Systems
– Neural Networks

A High-Acceptance-Rate VxWorks Fuzzing Framework Based on Protocol Feature Fusion and Memory Extraction
– Future Internet, Open Access

Visually Secure Image Encryption: Exploring Deep Learning for Enhanced Robustness and Flexibility
– Expert Systems with Applications

Textual Data De-Privatization Scheme Based on Generative Adversarial Networks
– Conference Paper

Ashy Sebastian | Artificial Neural Networks | Best Researcher Award

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Assist. Prof. Dr. Ashy Sebastian | Artificial Neural Networks | Best Researcher Award

Assist. Prof. Dr. Ashy Sebastian | Artificial Neural Networks | Best Researcher Award | Assistant professor at Kristu Jayanti University | India

Assist. Prof. Dr. Ashy Sebastian is an accomplished finance academic and researcher recognized for his contributions to artificial intelligence–driven financial analytics, stock market prediction, and portfolio optimization. He holds a doctoral degree in Finance from Christ University, supported by strong postgraduate and undergraduate training in commerce, finance, and taxation, which together form a robust academic foundation in financial theory and applied research. Professionally, Assist. Prof. Dr. Ashy Sebastian serves as an Assistant Professor at Kristu Jayanti University, where he delivers undergraduate courses in Income Tax, Financial Management, Company Law, and general management, while actively contributing to curriculum design, accreditation processes, and student research supervision. He has authored 4 documents, received 7 citations, and holds an h-index of 2, reflecting emerging international research visibility.

Citation Metrics (Scopus)

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8

6

4

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Citations
7

 Documents
4

h-index
2

🟦 Citations       🟥 Documents     🟩 h-index


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Featured Publications

Multi-variate LSTM with Attention Mechanism for the Indian Stock Market

– International Journal of Information Management Data Insights, 2025 (Open Access)

Theophile Tchakouteu Mbakop | Chemistry and Materials Science | Innovative Research Award

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Dr. Theophile Tchakouteu Mbakop | Chemistry and Materials Science | Innovative Research Award

Dr. Theophile Tchakouteu Mbakop | Chemistry and Materials Science | Docteur at Ngaoundere University | Cameroon

 

Dr. Theophile Tchakouteu Mbakop is an accomplished materials scientist, academic, and industrial expert whose career integrates education, research, and large-scale production management in materials science and inorganic chemistry. Education: He holds a doctoral degree in applied inorganic chemistry with advanced academic training in industrial chemistry, ceramics, and glass science, supported by strong foundations in physics and chemical sciences, enabling him to bridge fundamental theory with applied engineering solutions. Professional Experience: Dr. Theophile Tchakouteu Mbakop has extensive professional experience in higher education teaching, national research institutions, and semi-industrial production environments, where he has served in roles spanning materials science education, research leadership, production management, quality assurance, technical auditing, warehouse management, and organizational governance, demonstrating exceptional capability in both academic and industrial ecosystems.

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Featured Publications

Study of the Physico-Mechanical Properties of Recycled Fired Brick Waste in a Cementitious Matrix Mortar

– International Journal of Pavement Research and Technology

The Clayey Deposit from Bomkoul (Douala, Cameroon): A Case Study of the Geotechnical Appraisal and Assessment of the Characteristics of Firing Bricks

– Clay Minerals

Recycling of Carica Papaya Trunk Fiber Plies: Experimental and Analytical Characterization

– Journal of Material Cycles and Waste Management

Chemical and Mineralogical Analysis of Pegmatites with Interesting Potential for the Ceramics and Glass Industries

– Journal of Mineral and Material Science

Influence of Water Content on Physical Characteristics of Fired Bricks During a Semi-Industrial Production Process

– Journal of Building Pathology and Rehabilitation

Yichuan Wang | Cybersecurity and Cryptography | Research Excellence Award

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Mr. Yichuan Wang | Cybersecurity and Cryptography | Research Excellence Award

Mr. Yichuan Wang | Cybersecurity and Cryptography | Executive Director at Xi’an University of Technology | China 

Mr. Yichuan Wang is an accomplished researcher and academic professional with recognized expertise in cybersecurity, cloud virtualization security, artificial intelligence–driven secure communication, and advanced network trust assessment. He holds a doctoral degree in a computing and information security–related discipline from a reputed university, supported by strong academic foundations in computer science, network engineering, and intelligent systems. He has demonstrated consistent research productivity and global visibility, having authored 164 documents, accumulated 906 citations, and achieved an h-index of 16, reflecting both the breadth and impact of his scholarly contributions.

Citation Metrics (Scopus)

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0

Citations
906

Documents
164

h-index
16

🟦 Citations       🟥 Documents     🟩 h-index


View Scopus Profile

Featured Publications

Abnormal Alliance Detection Method Based on a Dynamic Community Identification and Tracking Method for Time-Varying Bipartite Networks
– AI Switzerland (Open Access)
Flexible Visually Secure Image Encryption with Meta-Learning Compression and Chaotic Systems
– Neural Networks
A High-Acceptance-Rate VxWorks Fuzzing Framework Based on Protocol Feature Fusion and Memory Extraction
– Future Internet (Open Access)
Visually Secure Image Encryption: Exploring Deep Learning for Enhanced Robustness and Flexibility
– Expert Systems with Applications
Textual Data De-Privatization Scheme Based on Generative Adversarial Networks
– International Conference Paper