Prof. Din-Yuen Chan | Deep Learning | Best Scholar Award

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Prof. Din-Yuen Chan | Deep Learning | Best Scholar Award 

Prof. Din-Yuen Chan, National Chiayi University, Taiwan

Din-Yuen Chan is a prominent scholar in electrical engineering with extensive experience in visual signal processing and computer vision. He earned his Ph.D. in Electrical Engineering from National Cheng Kung University, Taiwan, in 1996. A member of the Visual Signal Processing and Communication Technical Committee (VSPC TC) since 2010, he served as the founding director of the Department of Electrical Engineering (2007–2011) and as Dean of the College of Science and Engineering at National Chiayi University (2017–2020). His research spans semantic object detection, video/audio coding, stereoscopic 3D, AI-based pattern recognition, and deep learning neural networks. In the past five years, he has published multiple SCI-indexed journal papers on topics such as stereo matching, instance segmentation, speaker diarization, depth estimation, and autonomous robotics. As a frequent corresponding author, he continues to lead innovations in applied AI and multimedia processing.

Professional Profile:

SCOPUS

Summary of Suitability for the Best Scholar Award

Dr. Din-Yuen Chan has maintained an outstanding academic career for over two decades, contributing significantly to the fields of electrical engineering and computer vision. His long-standing commitment to advancing knowledge is reflected in his leadership roles and consistent research output in areas such as semantic object detection, AI-based pattern recognition, video/audio coding, and stereoscopic 3D.

🎓 Education

  • Ph.D. in Electrical Engineering
    National Cheng Kung University, Taiwan 🇹🇼
    Completed in 1996

💼 Work Experience

  • 🧠 Member, Visual Signal Processing and Communication Technical Committee (VSPC TC)
    Since 2010

  • 🏛️ Founding Director, Department of Electrical Engineering, National Chiayi University
    2007 – 2011

  • 🎓 Dean, College of Science and Engineering, National Chiayi University
    2017 – 2020

🧪 Research Interests

  • 🔍 Computer Vision

  • 🎯 Semantic Object Detection

  • 🎞️ Video/Audio Coding

  • 🤖 AI-based Pattern Recognition

  • 🥽 Stereoscopic 3D

  • 🧠 Deep Learning Neural Networks

🏅 Achievements & Honors

  • ✍️ Published multiple SCI-indexed journal papers in high-impact venues, including:

    • EURASIP Journal on Image and Video Processing

    • IET Computer Vision

    • Multimedia Tools and Applications

    • Applied Sciences

  • ⭐ First or corresponding author in many significant papers on stereo matching, depth estimation, 3D object placement, and speaker diarization.

  • 🤖 Developed a low-cost autonomous outdoor robot with end-to-end deep learning navigation.

  • 🧏 Invented a new speaker-diarization technology using spectral-LSTM.

  • 🎓 Recognized leader in academia for establishing and leading research and administrative departments.

Publication Top Notes:

A new speaker-diarization technology with denoising spectral-LSTM for online automatic multi-dialogue recording

Natural-Prosodic Cross-Lingual Personalized TTS

New Efficient Depth Estimation and Real-Time Object 3D Recognition Models for Humanoid Robotic Environment Understanding

Rational 3D object placement based on deep learning based plane detection

INTEGRATED LIGHT-RESNET AND POOLFORMER NETWORKS FOR SHAPE-PRESERVING LANE DETECTION

Prof. Fengyun Cao | Computer Vision Awards | Excellence in Research Award

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Prof. Fengyun Cao | Computer Vision Awards | Excellence in Research Award 

Prof. Fengyun Cao, Hefei Normal University, China

Dr. Cao Fengyun is an Associate Professor and Master’s Supervisor at the School of Computer and Artificial Intelligence, Hefei Normal University, where she also serves as Director of the Department of Computer Science and Technology. Her primary research interests include digital image processing, computer vision, and artificial intelligence. Dr. Cao is a member of the Image Application and System Integration Committee of the Chinese Image and Graphics Society and serves on the young editorial board of the international journal INSTRUMENTATION. She is also a reviewer for numerous prestigious journals such as IEEE/CAA Journal of Automatica Sinica, Scientific Reports, and The Journal of Supercomputing. She currently holds the position of Vice President of Science and Technology at the Medical Artificial Intelligence Technology R&D Center, Hefei Innovation Institute. Over the years, she has led various funded research projects, including those focused on depth estimation, remote sensing, and smart control systems. Dr. Cao has authored several high-impact papers and holds 10 authorized invention patents, along with multiple software copyrights and integrated circuit layout designs. Her work has earned her accolades including the “Research Star” award and third prize in the Anhui Province Science and Technology Awards. She has also contributed to the development of local standards in smart systems and information monitoring.

Professional Profile:

SCOPUS

Summary of Suitability:

Dr. Cao Fengyun, an Associate Professor and Director of the Department of Computer Science and Technology at the School of Computer and Artificial Intelligence, Hefei Normal University, is a highly accomplished researcher with a proven track record in digital image processing, computer vision, and artificial intelligence. His outstanding contributions to both theoretical advancements and practical innovations make him an excellent candidate for the Excellence in Research Award.

🎓 Education & Work Experience

  • 👨‍🏫 Teaching Assistant
    School of Computer Science, Hefei Normal University
    📅 June 2013 – November 2017

  • 👨‍🏫 Lecturer
    School of Computer Science, Hefei Normal University
    📅 December 2017 – December 2022

  • 👩‍🏫 Associate Professor
    School of Computer and Artificial Intelligence, Hefei Normal University
    📅 January 2023 – Present

  • 🧠 Vice President of Science and Technology
    Medical AI Technology R&D Center, Hefei Innovation Institute
    📅 November 2024 – Present

🏆 Achievements

  • 📚 Research Areas:
    Digital Image Processing, Computer Vision, Artificial Intelligence

  • 🧪 Research Projects (Host):

    • 🔍 Magnetic Tile Surface Defect Detection (2024–2025)

    • 🤖 Monocular Image Depth Estimation using Deep CNN (2019–2020)

    • 🖼 Single Image Depth Restoration via Low-level Features

    • 🌩 Cloud Tech for Remote Sensing Image Thinning (2018–2019)

    • 🔧 Smart Fire Protection Water Supply System (2025)

    • 📡 High Performance Frequency Hopping Filter Development

    • ⚡ Intelligent Control System for Power Distribution Cabinet (2021)

    • 🔋 Smart-LW Charging Operation and Maintenance System

    • 🧠 Graph Neural Network Intelligent Computing System (Ranked 3rd)

    • 🌐 IoT Equipment Remote Upgrade System (2021)

  • 📄 Representative Papers:

    • ⚙ Electric Bike Testing Dataset – Alexandria Engineering Journal (2024, SCI Zone II TOP)

    • 🎯 YOLOv7-based Anti-target Detection – Traitement du Signal (2023, SCI)

    • 🧩 PCB Defect Recognition via Bi-directional Feature Extraction – Journal of Wuhan University of Technology

    • 🖌 Edge Blur Estimation for Depth Restoration – Journal of Computers

    • 🧠 Image Segmentation and Depth Recovery – Journal of Chinese Image and Graphics

  • 💡 Intellectual Property:

    • 🔬 Invention Patents: 10 (Ranked 1st to 8th) – covering intelligent factories, robotic arms, IoT, and image processing

    • 💻 Software Copyrights: 3 (First author)

    • 🧿 Integrated Circuit Layout Designs: 2 (One authored by him)

🥇 Awards & Honors

  • 🌟 HefeiNormal University Research Star, 2022

  • 🥉 Third Prize – Natural Science Award (Host), Hefei Normal University, 202X

  • 🥉 Third Prize – Anhui Province Science and Technology Award (Ranked 4th), 2021

  • 🏅 Excellence in Science & Technology Progress, Anhui Provincial Computer Society (1st Rank), 2021

Publication Top Notes:

Optimization of the Pure Pursuit algorithm based on real-time error

Prof. Dr. Chao-Ming Wang | Computer Vision | Best Researcher Award

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Prof. Dr. Chao-Ming Wang | Computer Vision | Best Researcher Award 

Prof. Dr. Chao-Ming Wang, Department of Digital Media Design / National Yunlin University of Science and Technology, Taiwan

Chao-Ming Wang is a Professor at the Department of Digital Media Design at National Yunlin University of Science and Technology (YunTech), Taiwan, where he has been serving since 2008. He holds a Ph.D. in Computer Science and Information Engineering from National Chiao Tung University, Taiwan, and has a rich career spanning academia and research. Prior to his current role, Dr. Wang was an Associate Professor at Yuan Ze University and has also held senior specialist positions at the National Chung Shan Institute of Science and Technology. His research interests encompass signal processing, computer vision, tech art, and interactive multimedia design. Dr. Wang has been an active leader in professional organizations, including serving as the President of the Taiwan Society of Basic Design and Art from 2010 to 2013. He is also deeply involved in the Taiwanese digital media community through his roles in various associations such as the Taiwan Art & Technology Association and the Taiwan Association of Digital Media Design.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award

Dr. Chao-Ming Wang is a highly esteemed researcher and academic whose work spans signal processing, computer vision, tech art, and interactive multimedia design. With over four decades of experience in the field, Dr. Wang has made significant contributions to both the academic and industrial domains, establishing himself as a pioneer in integrating technology and art.

🎓 Education

  • Ph.D. in Computer Science and Information Engineering
    🏫 National Chiao Tung University, Hsinchu, Taiwan
    📅 1987–1993

  • M.Sc. in Computer Science and Information Engineering
    🏫 National Chiao Tung University, Hsinchu, Taiwan
    📅 1980–1982

  • B.Sc. in Computer Science
    🏫 National Chiao Tung University, Hsinchu, Taiwan
    📅 1976–1980

💼 Work Experience

  • Professor
    🏫 National Yunlin University of Science and Technology (YunTech), Taiwan
    📅 Aug 2021 – Present
    📍 Department of Digital Media Design

  • Associate Professor
    🏫 YunTech, Taiwan
    📅 2008 – 2021

  • Associate Professor
    🏫 Yuan Ze University, Taoyuan, Taiwan
    📅 2003 – 2008
    📍 Department of Information Communication

  • Senior Specialist
    🏢 National Chung Shan Institute of Science and Technology
    📅 1982 – 2003

🏆 Achievements & Leadership Roles

  • 🧑‍🎓 Head, Dept. of Digital Media Design, YunTech (2010–2013)

  • 🎨 President, Taiwan Society of Basic Design and Art (2010–2013)

  • 💡 Director, Design-led Innovation Center, YunTech (2016–2017)

  • 🧑‍🏫 Executive Director, Taiwan Association of Digital Media Design (2015–2021)

  • 🤝 Director, Taiwan Art & Technology Association (2013–2023)

  • 🏅 Director of Honor, Taiwan Society of Basic Design and Art (2014–present)

  • 🧠 Permanent Member, Chinese Image Processing and Pattern Recognition Society (2003–present)

🔬 Research Interests

  • 🎛️ Signal Processing

  • 👁️ Computer Vision

  • 🖼️ Tech Art

  • 🎮 Interactive Multimedia Design

Publication Top Notes:

Design of an Interactive Exercise and Leisure System for the Elderly Integrating Artificial Intelligence and Motion-Sensing Technology

Combining Interactive Technology and Visual Cognition—A Case Study on Preventing Dementia in Older Adults

The design of a new interactive multimedia system based on computer vision and multi-sensing techniques for the traditional ritual process

Design of a Gaze-Controlled Interactive Art System for the Elderly to Enjoy Life

Design of a Technology-Based Magic Show System with Virtual User Interfacing to Enhance the Entertainment Effects

Design and Assessment of an Interactive Role-Play System for Learning and Sustaining Traditional Glove Puppetry by Digital Technology

The Design of a Novel Digital Puzzle Gaming System for Young Children’s Learning by Interactive Multi-Sensing and Tangible User Interfacing Techniques

Using Digital Technology to Design a Simple Interactive System for Nostalgic Gaming to Promote the Health of Slightly Disabled Elderly People

Combining Augmented Reality and Multi-User Remote Collaboration to Improve Sustainable Agriculture and Economy

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

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

Image Inpainting Forgery Detection: A Review