Mr. Wenqiang Hua | Image Processing | Best Researcher Award

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Mr. Wenqiang Hua | Image Processing | Best Researcher Award 

Mr. Wenqiang Hua, Xi’an University of Posts and Telecommunications, China

Wenqiang Hua is a lecturer at the School of Computer Science, Xi’an University of Posts and Telecommunications, China, and a researcher at the Key Laboratory of Big Data and Intelligent Computing. He holds a Ph.D. in Electronic Circuit and System Artificial Intelligence from Xidian University. His research focuses on deep learning, image classification, and remote sensing image classification, particularly in PolSAR image analysis. Dr. Hua has authored numerous publications in top-tier journals, including IEEE Geoscience and Remote Sensing Letters and Knowledge-Based Systems. He has led multiple research projects, including a Youth Project funded by the Natural Science Foundation of China. Known for his extroverted and enthusiastic character, he actively engages in academic collaborations and seeks opportunities for Ph.D. co-supervisio

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SCOPUS

ORCID

Summary of Suitability for Best Researcher Award – Wenqiang Hua

Wenqiang Hua is a highly qualified candidate for the Best Researcher Award, given his extensive contributions to deep learning, image classification, and remote sensing image analysis, particularly in Polarimetric Synthetic Aperture Radar (PolSAR) classification. His research is at the cutting edge of artificial intelligence and geospatial data processing, with a strong record of high-impact publications, funded research projects, and academic mentorship.

Dr. Wenqiang Hua 🎓👨‍🏫

Education & Work Experience 📚💼

  • Ph.D. in Electronic Circuit and System (Artificial Intelligence) (2013.09 – 2018.06)
    Xidian University, Xi’an, Shaanxi, China 🎓

  • Lecturer (2018.06 – Present)
    School of Computer Science, Xi’an University of Posts and Telecommunications, China 🏫

Achievements & Contributions 🏆🔬

  • Research Expertise: Deep Learning, Image Classification, Remote Sensing Image Classification 🤖📡

  • Key Research Topics: PolSAR Image Classification, Semi-supervised Learning, Contrastive Learning, Feature Fusion, and Adversarial Networks 🔍🌍

  • Publications: 📄✍️

    • Published 12+ high-impact journal papers in top journals such as IEEE Geoscience and Remote Sensing Letters, Remote Sensing, and Knowledge-Based Systems 🏅

    • Developed novel Semi-Supervised Hybrid Contrastive Learning & Deep Feature Fusion Networks for PolSAR image classification 📊

Awards & Honors 🏅🎖️

  • Principal Investigator for two major funded projects:

    • National Natural Science Foundation of China (NSFC) Youth Project (2020-2022) 🏆

    • Special Scientific Research Project of Shaanxi Education Department (2019-2020) 🎓

  • Recognized for significant contributions to remote sensing image classification and deep learning applications in PolSAR terrain analysis 🌟

Dr. Wenqiang Hua continues to advance big data and intelligent computing through his research at Xi’an University of Posts and Telecommunications, making impactful contributions to AI-driven remote sensing applications 🚀📡

Publication Top Notes:

Semi-supervised hybrid contrastive learning for PolSAR image classification

Multichannel semi-supervised active learning for PolSAR image classification

PolSAR Image Classification Based on Multi-Modal Contrastive Fully Convolutional Network

PolSAR Image Classification Based on Relation Network with SWANet

Attention-Based Multiscale Sequential Network for PolSAR Image Classification

Polarimetric SAR Image Classification Based on Ensemble Dual-Branch CNN and Superpixel Algorithm

Mr. Adrian Barglazan | Computer Vision | Best Researcher Award

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Mr. Adrian Barglazan | Computer Vision | Best Researcher Award

Mr. Adrian Barglazan, University “Lucian Blaga” Sibiu, Romania

Adrian Barglazan is a Senior Software Engineer at Cognizant Softvision, based in Sibiu, Romania, with a strong focus on continuous learning and growth in software development. He holds a Bachelor’s and Master’s degree in Computer Science from Lucian Blaga University of Sibiu, where he is also pursuing a Ph.D. with a research focus on media forensics. With over 15 years of professional experience, Adrian has worked in various roles, including software development, team leadership, and teaching. His expertise spans Microsoft-related technologies, agile development, clean code principles, and design patterns. Throughout his career, he has contributed to projects in cloud ERP systems, pharmaceutical software, and ERP applications, working with technologies such as C#, ASP.NET, JavaScript, React, and Azure. In addition to his industry work, Adrian has been a teaching assistant at Lucian Blaga University of Sibiu since 2011, specializing in data compression and DirectX. His interests extend to computer vision and machine learning, reflecting his passion for innovative and high-quality software solutions

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ORCID

Suitability for Best Researcher Award – Adrian Barglazan

Adrian Barglazan demonstrates strong expertise in software development, computer vision, and media forensics, with a balance of industry experience and academic involvement. His Ph.D. research in media forensics, combined with over a decade of teaching experience in data compression and image processing, positions him as a knowledgeable professional in his field. However, for a Best Researcher Award, factors such as high-impact publications, patents, funded research projects, and citations play a crucial role. While Adrian has valuable technical contributions, his eligibility for this award would be strengthened by more peer-reviewed research publications and recognized contributions to the scientific community. Therefore, he is a strong candidate for an innovation or industry-academic impact award but may need further academic credentials to be fully competitive for a Best Researcher Award.

🎓 Education:

  • PhD in Computer Science (2019 – Present) 📖🔍
    Lucian Blaga University of Sibiu – Focus on Media Forensics
  • Master’s Degree in Computer Science (2009 – 2011) 🎓
    Lucian Blaga University of Sibiu
  • Bachelor’s Degree in Computer Science (2005 – 2009) 🎓
    University “Lucian Blaga”, Faculty of Engineering “Hermann Oberth”, Sibiu

💼 Work Experience:

🔹 Senior Software Engineer – Cognizant Softvision (Sept 2020 – Present)
📍 Sibiu, Romania

  • Focus on Microsoft-related technologies, agile development, and clean code
  • Expertise in software architecture, development, testing, and mentoring

🔹 PhD Student & Teaching Assistant – Lucian Blaga University of Sibiu (Sept 2011 – Present)
📍 Sibiu County, Romania

  • Research in Media Forensics 🔍
  • Teaching Data Compression & DirectX to 4th-year students 🎓
  • Covers key algorithms like Shannon, Huffman, LZ77, JPEG, MPEG

🔹 Software Developer – Visma (Apr 2017 – Sept 2020)
📍 Sibiu County, Romania

  • Senior developer in cloud ERP Single Page Application (SPA) development ☁️💻
  • Technologies: C#, ASP.NET MVC, Azure SQL, React, TypeScript
  • Worked with Kanban methodology, CI/CD, and cross-country teams

🔹 Developer – iQuest Technologies (Sept 2011 – Apr 2017)
📍 Sibiu County, Romania

  • Lead developer in Pharma sector projects 💊
  • Software architecture, risk management, and recruitment 📋

🏆 Achievements, Awards & Honors:

🌟 PhD Researcher in Media Forensics 📸🔬
🌟 Senior Software Engineer with over 17 years of experience in the software industry 💻
🌟 Specializes in Microsoft technologies, Agile development, and Clean Code principles ⚡
🌟 Mentor & Teacher – educating future developers on Data Compression & DirectX 🎓
🌟 Experienced in cloud-based ERP systems, software architecture, and machine learning ☁️🤖
🌟 Contributor to recruitment & technical interviews in multiple companies 🏅

Publication Top Notes:

Wavelet Based Inpainting Detection

Enhanced Wavelet Scattering Network for Image Inpainting Detection

Lung Sounds Anomaly Detection with Respiratory Cycle Segmentation

Image Inpainting Forgery Detection: A Review

Image Inpainting Forgery Detection: A Review