Yabo Wu | Computer Science | Best Researcher Award

Mr. Yabo Wu | Computer Science | Best Researcher Award

Mr. Yabo Wu, Guizhou University, China.

πŸŽ“ Mr. YaBo Wu is a Ph.D. scholar in Software Engineering at Guizhou University, focusing on computer vision, especially image enhancement and depth estimation using deep learning. 🧠 He has published in SCI Q1 and Q3 (CCF-C) journals, contributing innovative AI methods for image dehazing. πŸ“Έ His research bridges theory and application, driving AI-powered solutions for real-world systems. πŸ€– A fast learner and team player, he thrives in dynamic R&D environments. πŸ’‘

πŸŽ“ Early Academic Pursuits

Mr. YaBo Wu embarked on his academic journey at Guizhou University, earning his Bachelor’s degree in Computer Science and Technology. Demonstrating early promise in technology and innovation, he continued at the same institution to pursue a Ph.D. in Software Engineering. His foundational academic background laid the groundwork for his future contributions to cutting-edge research in computer vision and artificial intelligence.

πŸ’Ό Professional Endeavors

Currently immersed in doctoral research, Mr. Wu exhibits a strong commitment to bridging theoretical knowledge with real-world solutions. He excels in collaborative R&D settings, where his adaptability and technical acumen stand out. His professional demeanor is complemented by his ability to swiftly acquire new skills and integrate into multidisciplinary teams.

πŸ”¬ Contributions and Research Focus On Computer ScienceΒ 

Mr. Wu’s primary research lies in computer vision, with a focus on image enhancement and depth estimation, utilizing deep learning models. He has contributed to the field through his work on single-image dehazing, which is vital for multimedia clarity and autonomous systems. His models emphasize frequency and spatial domain decoupling, enhancing feature recognition and semantic restoration.

🌍 Impact and Influence

Through his innovative contributions such as DAF-Net and DDLNet, Mr. Wu has enhanced the robustness of AI-driven solutions. His research advances not only academic knowledge but also real-world applications, especially in autonomous systems, multimedia processing, and environmental perception technologies.

🧠 Research Skills

YaBo Wu exhibits exceptional expertise in:

  • Deep learning algorithm design

  • Computer vision model optimization

  • Image dehazing and depth estimation techniques

  • Frequency and spatial domain feature analysis
    He combines technical rigor with creative problem-solving, enabling him to produce high-impact research.

πŸ… Awards and Honors

Mr. Wu’s research achievements and published works in top-tier SCI journals underscore his recognition in the academic community. His ability to publish in Q1 and Q3 journals speaks to the quality and relevance of his work.

πŸ›οΈ Legacy and Future Contributions

With a passion for pushing the boundaries of AI, Mr. Wu is poised to make lasting contributions to both academic research and technological innovation. His focus on developing robust, real-time solutions for vision-based systems ensures that his work will continue influencing autonomous navigation, smart surveillance, and multimedia enhancement for years to come.

Publications Top Notes

πŸ§ͺ 1.Β  Distribution-Decouple Learning Network: An Innovative Approach for Single-Image Dehazing with Spatial and Frequency Decoupling
πŸ“˜ Journal: The Visual Computer
πŸ“… Year: March 2025
πŸ“Œ Key Focus: Proposes DDLNet, decoupling haze and object features across spatial and frequency domains for superior dehazing.

🧠 2 . A Frequency-Domain Dynamic Amplitude Filtering Method for Single-Image Dehazing with Harmony Enhancement
πŸ“˜ Journal: Expert Systems with Applications
πŸ“… Year: 2025
πŸ“Œ Key Focus: Introduces DAF-Net for dehazing, using amplitude components and global-local feature balancing for improved semantic recovery.

Ghulam Mohi-ud-din | Computer Science | Excellence in Innovation Award

Prof. Ghulam Mohi-ud-din | Computer Science | Excellence in Innovation Award

Prof. Ghulam Mohi-ud-din, Nanchang University, China.

Prof. Ghulam Mohi-ud-din is an experienced Product Coordinator 🧠 with 7+ years of expertise in software engineering, research, and IT strategy πŸ’‘. He excels in risk mitigation, quality assurance, and infrastructure development πŸ› οΈ. Currently pursuing a PhD in Software Engineering, Ghulam has also worked with top firms like IBM and Oracle 🌐. A certified PMP, CCIE, and OCP πŸŽ“, he is passionate about driving innovation, leading cross-functional teams, and delivering impactful tech solutions πŸš€.

πŸŽ“ Early Academic Pursuits

Ghulam Mohi-ud-din began his academic journey with a Bachelor’s degree in Software Engineering from the University of Engineering and Technology, Lahore, graduating with an impressive GPA of 3.6. He further honed his technical skills through a Master of Science in Computer Systems Networking and Telecommunications at the University of Florida, maintaining a strong GPA of 3.85. Currently pursuing a PhD in Software Engineering at Northwestern Polytechnical University, Xi’an, Ghulam’s commitment to lifelong learning sets a solid foundation for his professional achievements. πŸ“˜πŸ’»

πŸ’Ό Professional Endeavors

With over 17 years of extensive experience, Ghulam has held pivotal roles across multiple continents. His current position as a Product Coordinator at ResearchEX Ltd, London, involves project leadership, strategic implementation, and cross-functional team management. Past roles include Project Consultant at IBM, Visiting Faculty at LUMS, Assistant DBA at Oracle, and Network Administrator at OGDCL, each enriching his skill set in IT infrastructure, data management, teaching, and network security. πŸŒπŸ“Š

πŸ”¬ Contributions and Research Focus On Computer Science Β 

Ghulam’s research spans across software engineering, machine learning, and infrastructure development. His time as a faculty member at LUMS saw him guiding students in computer science research, securing funding, and authoring significant research publications. His doctoral research aligns with modern software methodologies, ensuring real-world applicability and innovation. πŸ§ πŸ“ˆ

🌍 Impact and Influence

From enhancing cloud infrastructure at Oracle to leading agile methodologies in the UK tech sector, Ghulam’s influence extends to policy development, training programs for thousands of employees, and optimizing technical workflows that reduce costs and increase operational performance. His leadership style promotes team unity, performance recognition, and long-term organizational success. πŸ’‘πŸ€

πŸ† Awards and Honors

Ghulam holds a rich collection of certifications from globally recognized institutions including Cisco (CCNA, CCNP, CCIE), Oracle (OCA, OCP, OCE), Red Hat (RHCE, RHCT), and Project Management Professional (PMP). These validate his authority in system architecture, project management, and enterprise-level IT strategy. πŸŽ–οΈπŸ“œ

πŸš€ Legacy and Future Contributions

Poised at the intersection of academia and industry, Ghulam’s future goals involve leading transformational IT initiatives, mentoring the next generation of technologists, and contributing groundbreaking research in AI and software systems. His vision includes bridging academic theory with business innovation, leaving a legacy of empowered teams and streamlined technology infrastructures. πŸŒπŸš€

πŸ“šPublications Top Notes

  • Click-level supervision for online action detection extended from SCOAD

    • Journal: Future Generation Computer Systems

    • Year: 2025

  • Deciphering TON-IoT threats: Meta-heuristic and deep learning for attack classification

    • Journal: Expert Systems with Applications

    • Year: 2025

  • A wireless sensor network for coal mine safety powered by modified localization algorithm

    • Authors: H.Z. ul Hassan, A. Wang, G. Mohi-ud-din

    • Journal: Heliyon

    • Year: 2025

  • ML-Driven Audit Risk Assessment with Differential Privacy

    • Authors: Dr. Ghulam Mohi-ud-din

    • Conference: 2024 11th International Conference on Soft Computing & Machine Intelligence (ISCMI)

    • Year: 2024

  • Unmanned aerial vehicle intrusion detection: Deep-meta-heuristic system

    • Authors: Shangting Miao, Quan Pan, Dongxiao Zheng, Ghulam Mohi-ud-din

    • Journal: Vehicular Communications

    • Year: 20

  • Real-time portrait image retouching extended from DualBLN

    • Journal: Expert Systems with Applications

    • Year: 2024

  • Intrusion Detection Using Hybrid Enhanced CSA-PSO and Multivariate WLS Random-Forest Technique

    • Journal: IEEE Transactions on Network and Service Management
    • Year: 2023​

  • Intrusion Detection using hybridized Meta-heuristic techniques with Weighted XGBoost Classifier

    • Authors: Ghulam Mohi-ud-din, Zhijun Lin, Jiangbin Zheng, Junsheng Wu, Weigang Li, Yifan Fang, Sifei Wang, Jiajun Chen, Xinyu Zeng

    • Journal: Expert Systems with Applications

    • Year: 2023

  • Intrusion detection in wireless sensor network using enhanced empirical based component analysis

    • Authors: Liu Zhiqiang, Ghulam Mohi-ud-din, Jiangbin Zheng, Sifei Wang, Asim Muhammad

    • Journal: Future Generation Computer Systems

    • Year: 2022