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

Professional Profile:

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

Ms. Congying Sun, Xi’an University of Technology, China

Congying Sun, a native of Xianyang City, Shaanxi Province, is an emerging researcher specializing in control science, engineering, and multi-modal remote sensing technologies. She earned her Bachelor’s degree in Printing Engineering from Xi’an University of Technology in 2022 and is currently pursuing a Master’s degree in Control Science and Engineering at the same institution, expected to graduate in 2025. Her professional experience includes a tenure at the Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, where she played a pivotal role in developing an infrared-visible aircraft image dataset and deploying state-of-the-art infrared small target detection models. Congying has demonstrated her ability to merge academic excellence with practical application through her contributions to national and engineering projects, including research on multi-source collaborative intelligent perception technology for aircraft and non-cooperative multi-target classification and cognition technology.

🧑‍💻 Professional Experience

Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences (July 2023 – August 2024)

📸 Independently created an infrared-visible aircraft image dataset, including camera selection, data collection, and image annotation.

📝 Authored project proposals, research papers, and patents with great precision.

🤖 Developed and deployed infrared small target detection models and multi-modal remote sensing image fusion detection models.

🏅 Achievements

Granted Invention Patents:

📜 Infrared Small Target Detection Method (CN118762159A)
📜 Multi-modal Feature Fusion Target Detection Model and Method (CN118865046A)

💡 Research Interests

🔍 Machine Learning | 🌍 Multi-modal Remote Sensing | 🎯 Target Detection

Congying Sun’s innovative approach, technical expertise, and impactful contributions to cutting-edge research make her a rising star in the field of control science and engineering. 🌟