Prof. Zuofeng Zhou | Optical Imaging | Best Researcher Award

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Prof. Zuofeng Zhou | Optical Imaging | Best Researcher Award 

Prof. Zuofeng Zhou, Xi’an Institute of Optics and Precision Mechanics of CAS, China

Dr. Zuofeng Zhou is a Professor at the Xi’an Institute of Optics and Precision Mechanics (XIOPM), Chinese Academy of Sciences, and the Chief Engineer of XIOPM Holdings Co., Ltd. He is recognized as an Outstanding Young Scholar in Shaanxi Province, China. His research interests span image denoising, computer vision, machine learning, hyperspectral remote sensing image processing, and scientific and technological achievements industrialization. Over the past decade, he has published more than 80 research papers in esteemed journals and conferences and holds 14 technology and product patents. Dr. Zhou is an IEEE Member and serves as a reviewer for multiple international journals, including IEEE Transactions on Image Processing and Neurocomputing. He is actively involved in the industrialization of scientific and technological innovations, leading efforts in technology commercialization, startup incubation, and investment in high-tech enterprises, particularly in optoelectronics and military-civilian integration.

Professional Profile:

ORCID

SCOPUS

Summary of Suitability for Best Researcher Award

Dr. Zuofeng Zhou is a highly accomplished researcher with extensive contributions in the fields of image processing, computer vision, and machine learning. His expertise spans both theoretical research and practical industrial applications, particularly in hyper-spectral remote sensing image processing and image/video analysis.

🎓 Education

  • Ph.D. in a relevant field (Details not specified)

💼 Work Experience

  • Full Professor – XIOPM, Chinese Academy of Sciences
  • Chief Engineer – XIOPM Holdings Co., LTD
  • Referee – Reviewer for top journals including:
    • IEEE Transactions on Image Processing
    • Neurocomputing (Elsevier)
    • IET Image Processing
    • Signal Processing (Elsevier)
    • Conferences: CVPR, ICIP, ECCV

🏆 Achievements & Contributions

  • 📜 Research Contributions:
    • Published 80+ research papers in renowned journals and conferences (e.g., Signal Processing, ICIP, IET Image Processing)
    • Authored book chapter in Wavelet Transform and Some of Its Real-World Applications (ISBN: 978-953-51-2230-2)
  • 🔬 Research Interests:
    • Image denoising & computer vision
    • Machine learning & hyperspectral remote sensing
    • Image/video analysis
    • Industrialization of scientific and technological achievements
  • 📌 Patents:
    • Obtained 14 technology and product patent authorizations
  • 🚀 Industrialization Initiatives:
    • Led the commercialization of S&T achievements at XIOPM
    • Established 280+ hi-tech enterprises
    • Created 7,000+ jobs
    • Developed industry clusters in laser equipment, optoelectronic integrated circuits, and healthcare
  • 💰 Investment & Entrepreneurship:
    • Co-founded CAS Star Incubator Co., Ltd.
    • Managed funds totaling ~5 billion CNY
    • Invested in 150+ projects, attracting over 630 million CNY in social investment

🏅 Awards & Honors

  • 🌟 Outstanding Young Scholar – Shaanxi Province, China
  • 🎖 IEEE Member
  • 🏆 Recognitions:
    • “CAS Pilot Unit for S&T Achievement Transformation”
    • “Shaanxi Pilot Unit for Building an Innovative Province”
    • “State-level S&T Enterprise Incubator”

Publication Top Notes:

Satellite Pose Measurement Using an Improving SIFT Algorithm

ViBe algorithm based on background fusion and channel calculation

The Application of a Pavement Distress Detection Method Based on FS-Net

Image Enhancement Technology in Pavement Disease Detection System

High-Precision Volume Measurement of Potholes in Pavement Maintenance

 

Prof. Gour Paul | Image Processing | Best Researcher Award

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Prof. Gour Paul | Image Processing | Best Researcher Award

Prof. Gour Paul, Department of Mathematics, University of Rajshahi, Bangladesh

Dr. Gour Paul, a distinguished mathematician and professor at the University of Rajshahi, Bangladesh, specializes in planetary evolution, Earth science, and numerical methods. Born on November 20, 1974, Dr. Gour Paul has a rich academic background, earning his Ph.D. in Mathematics in 2005 from the University of Rajshahi, where he focused on protoplanetary models of planetary formation. He further enhanced his expertise through a postdoctoral fellowship at the School of Mathematical Sciences, Universiti Sains Malaysia. With over 15 years of experience in academia, Dr. [Name] has held various positions, including Associate Professor and Lecturer at the same institution, before becoming a full professor in 2013. His research contributions include investigating storm surge modeling and developing numerical methods for solving differential equations. Gour Paul has received several accolades for his exceptional research, including the SHEN Award for excellence in research in 2021 and the Dean’s Award in 2015. He is actively engaged in simulating water levels and predicting storm surges, demonstrating his commitment to advancing knowledge in applied mathematics and its practical applications.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award

Dr. Gour Chandra Paul has made significant contributions in the fields of planetary evolution and Earth science. His work on protoplanets, focusing on their structure and formation processes, reflects deep insights into both solar and extra-solar planetary systems. By investigating heat transfer mechanisms and sedimentation processes within protoplanets, Dr. Paul has advanced the understanding of planetary formation dynamics. In Earth science, he has applied advanced numerical modeling techniques to analyze storm surges, demonstrating expertise in finite difference methods and harmonic analysis. His research has practical implications for predicting storm tracks and assessing inundation areas, which are critical in disaster management for coastal regions like Bangladesh.

🎓 Education

  • 2010: Postdoctoral Fellow, School of Mathematical Sciences, University Sains Malaysia, Pulau Pinang, Malaysia (July 1, 2010 – July 31, 2011)
  • 2005: Ph.D. in Mathematics, University of Rajshahi
    Thesis Title: Investigation of some aspects of protoplanetary model of planetary formation.
  • 1995: M.Sc. in Applied Mathematics, Rajshahi University (First Class, First Position)
  • 1994: B.Sc. in Mathematics, Rajshahi University (First Class, Second in Science Faculty)
  • 1991: HSC, Rajshahi Board, Bogra Azizul Hoque College (First Division)
  • 1989: SSC, Rajshahi Board, Talora Altaf Ali High School (First Division)

💼 Work Experience

  • July 1, 2017 – Present: Professor (Grade 2), Department of Mathematics, University of Rajshahi
  • January 4, 2013 – Present: Professor, Department of Mathematics, University of Rajshahi
  • March 30, 2008 – January 3, 2013: Associate Professor, Department of Mathematics, University of Rajshahi
  • August 1, 2012 – August 21, 2012: Post-Doctoral Visiting Researcher, Universiti Sains Malaysia
  • July 1, 2010 – July 31, 2011: Post-Doctoral Fellow, Universiti Sains Malaysia
  • March 30, 2008 – June 30, 2010: Associate Professor, Department of Mathematics, University of Rajshahi
  • March 28, 2003 – March 29, 2008: Assistant Professor, Department of Mathematics, University of Rajshahi
  • March 28, 2000 – March 27, 2003: Lecturer, Department of Mathematics, University of Rajshahi

🏆 Achievements & Awards

  • 2021: SHEN AWARD for Excellence in Research
  • 2015: Dean’s Award, Faculty of Science, University of Rajshahi for Excellent Research Work in Physical and Mathematical Sciences
  • 1995: Sayed Amir Ali Award, Post Graduate Scholarship, Rajshahi University
  • 1994-1995: Graduate Talent Scholarship, Rajshahi University
  • 1989-1991: Board’s Scholarship

Publication Top Notes:

Emulating cyclone Roanus interaction with tide and surge through the method of lines: a numerical analysis

Unveiling protoplanetary structure equations: Semi-analytical solutions via the homotopy analysis method

On the radius spectrum of solid grains settling in polytropic protoplanets

Exploring dynamic behaviors of diverse electrical soliton pulses in lossy nonlinear electrical transmission lines: Insights from analytical method and linear stability analysis technique

Exploring dynamic behaviors of soliton-like pulses in the lossy electrical transmission line model with fractional derivatives: A comparative study

Ms. Minkyung Sung | Image Segmentation Awards | Best Researcher Award

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Ms. Minkyung Sung | Image Segmentation Awards | Best Researcher Award 

Ms. Minkyung Sung, Chung-Ang University, South Korea

Min-Kyung Sung is a dedicated Master’s student at the Department of Artificial Intelligence at Chung-Ang University, where she studies under the guidance of Professor Jaesung Lee. With a Bachelor of Science degree in Software from Anyang University, she has developed a strong foundation in artificial intelligence and image segmentation, particularly focusing on on-device AI applications. Min-Kyung has made significant contributions to the field, publishing her work in prominent international conferences such as the IEEE International Conference on Consumer Electronics and presenting research on open vocabulary segmentation based on vision-language pre-trained models. Her recent projects include developing a deep learning CT shortening algorithm for structural adhesive inspection at Hyundai and an AI pediatric behavioral analysis system for children with autism spectrum disorder (ASD). Recognized for her excellence, she received the Best Paper Award at the Spring Academic Conference of the Korean Society for Emotion and Sensibility in 2023. Proficient in Python, LaTeX, and various machine learning tools such as PyTorch and TensorFlow, Min-Kyung is poised to make significant advancements in the artificial intelligence domain.

Professional Profile:

GOOGLE SCHOLAR

Suitability for the Research for Best Researcher Award: Min-Kyung Sung

Min-Kyung Sung is an exemplary candidate for the Research for Best Researcher Award, showcasing significant achievements in artificial intelligence and image segmentation through a blend of rigorous academic training and impactful research contributions.

🎓 Education

  • Master’s Student in Department of AI, Chung-Ang University (2023 – Present)
    Academic Adviser: Prof. Jaesung Lee
  • B.S. in Software Engineering at Anyang University (2019 – 2023)

💼 Work Experience

  • Researcher at Chung-Ang University, focusing on Artificial Intelligence and Image Segmentation.
  • Project Contributor for various AI-related projects including:
    • Development of a Deep Learning CT Shortening Algorithm for Hyundai (2024 – Present)
    • AI Pediatric Behavioral Analysis System for ASD (March 2023 – July 2023)
    • Virtual-based Diet Assistant Application (March 2022 – November 2022)
    • Participation in the AI Bookathon Competition (November 2021)

🏆 Achievements

  • Best Paper Award at the Spring Academic Conference (Korean Society for Emotion and Sensibility, 2023) for outstanding research contributions.

🏅 Awards and Honors

  • 2023: Best Paper Award at the Spring Academic Conference, Korean Society for Emotion and Sensibility.

🛠️ Skills

  • Programming Languages: Python, LaTeX, Git, Android platforms
  • Machine Learning Tools: PyTorch, TensorFlow, scikit-learn

Publication Top Notes:

 

Ms. Congying Sun | Object Detection Awards | Best Researcher Award

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Ms. Congying Sun | Object Detection Awards | Best Researcher Award 

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 Profile:

ORCID

Suitability of Congying Sun for the Best Researcher Award

Congying Sun demonstrates exceptional qualifications and accomplishments, making her an outstanding candidate for the Research for Best Researcher Award. Below is a summary of her key achievements and strengths

🎓 Education

  • Master’s Degree in Control Science and Engineering (August 2022 – July 2025)
    🏫 Xi’an University of Technology
  • Bachelor’s Degree in Printing Engineering (September 2018 – July 2022)
    🏫 Xi’an University of 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.

🚀 Research Projects

  • Multi-source Collaborative Intelligent Perception Technology for Aircraft (August 2023 – June 2024) ✈️
  • Non-cooperative Multi-target Classification and Cognition Technology (October 2023 – March 2024) 🎯

🏅 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. 🌟

Publication Top Notes:

Location-Guided Dense Nested Attention Network for Infrared Small Target Detection

MMYFnet: Multi-Modality YOLO Fusion Network for Object Detection in Remote Sensing Images

Prof Dr. Michel Jourlin | Brightness Inversion Award | Best Researcher Award

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Prof Dr. Michel Jourlin | Brightness Inversion Award | Best Researcher Award 

Prof Dr. Michel Jourlin, Hubert Curien Laboratory, Jean Monnet University, Saint-Etienne, France

Michel Jourlin is an Emeritus Professor at the Hubert Curien Laboratory (UMR CNRS 5516) at Jean Monnet University in Saint-Etienne, France. He holds a State Doctorate in Pure Mathematics, which he earned with First Class Honours and special Congratulations in 1984. His academic career began as a senior lecturer at Jean Monnet University, where he established the Image Processing team at the TSI Laboratory, now part of the Hubert Curien Laboratory. In 1988, he became the head of the Electronics and Image Department at ICPI in Lyon and later, following the merger of ICPI and ESCIL to form CPE-Lyon, he served as the Scientific Director and head of the Electronics, Telecoms, and Computing section. He was instrumental in creating the LISA Laboratory (Image, Signal, and Acoustics), a CNRS-recognized research unit.

Professional Profile:

 

Summary of Suitability for Best Researcher Award

Michel Jourlin is a distinguished Emeritus Professor at the Hubert Curien Laboratory, Jean Monnet University, Saint-Etienne, France. With a State Doctorate in Pure Mathematics earned with First Class Honours and numerous contributions to the field of image processing, Professor Jourlin has demonstrated an exemplary academic and research career.

Education:

  • 1984: Achieved a State Doctorate in Pure Mathematics with First Class Honours and Congratulations.

Work Experience:

  • 1984: Began his academic career as a Senior Lecturer at Jean Monnet University, where he played a pivotal role in establishing the ‘Image Processing’ team at the TSI Laboratory, which later evolved into the Hubert Curien Laboratory.
  • 1988: Became the Head of the Electronics and Image Department at ICPI, Lyon.
  • 1992: After the merger of ICPI and ESCIL engineering schools to form CPE-Lyon, he was appointed Scientific Director of CPE and Head of the ETC section (Electronics, Telecoms, Computing). During this period, he was also instrumental in the creation of the LISA Laboratory (Image, Signal, and Acoustics), an EP CNRS unit.
  • 2000: Joined the ISTASE engineering school (which became Telecom Saint-Etienne in 2008) as a Professor. In 2001, he launched the ‘Digital Image and Vision’ course at the school.
  • 2003: Played a key role in bringing 3rd-year students from the Ecole Supérieure d’Optique, now IOGS, to Saint-Etienne to acquire image processing skills through a specialized ‘Image, Vision Signal’ Master’s course.
  • 2008: Contributed to the creation of the ERIS group (Eclairage, Rendu visuel, Imagerie optique, Sécurité opto-numérique) within the Laboratoire Hubert Curien (UMR 5516) in collaboration with Pierre Chavel. He was responsible for Axis 1, focusing on ‘Lighting, Visual Rendering.’
  • 2008-2015: Served as an Expert for the Ministry of Higher Education and Research.
  • 2011-Present: Continues to serve as an Emeritus Professor at Jean Monnet University. Over his career, he has supervised 42 PhDs and 4 HDRs. His work on the Logarithmic Image Processing (LIP) model has garnered over a thousand citations, leading to numerous publications and the publication of a book titled ‘Logarithmic Image Processing: Theory and Applications’.

Michel Jourlin’s contributions to image processing, especially the LIP model, are widely recognized in the scientific community, and he continues to be an active researcher and reviewer for prestigious journals.

 

Publication top Notes:

CITED: 471
CITED: 272
CITED: 250
CITED: 157
CITED: 113

 

Dr. Stefan Baar | Image Analysis Award | Best Researcher Award

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Dr. Stefan Baar | Image Analysis Award | Best Researcher Award 

Dr. Stefan Baar, Muroran Institute of Technology, Japan

Dr. Stefan Baar, born on January 21, 1987, in Germany, is a distinguished researcher specializing in machine learning and image processing applications in agriculture and cell biology. He is currently a researcher at the Muroran Institute of Technology in Japan, where he focuses on detecting and classifying cell features and movements and estimating plant phenotyping using innovative machine learning techniques. His work is conducted at the Computational Intelligence Laboratory under the direction of Prof. Dr. Shinya Watanabe. Dr. Baar’s academic journey began with a Bachelor of Science in Physics from Friedrich-Schiller-Universität Jena, followed by a Master of Science in Physics from the same institution. He earned his Ph.D. in Physics from the Muroran Institute of Technology, with a thesis on scanning tunneling studies of the pseudo gap in high-temperature superconductors under the supervision of Prof. Dr. Naoki Momono.

Professional Profile:

ORCID

Summary of Suitability:

Stefan Baar’s extensive background in both machine learning and astrophysics, combined with his advanced technical skills and significant research contributions, position him as an exceptional candidate for the Best Researcher Award. His work on novel machine learning techniques for cell and plant phenotyping and his previous research in astrophysics demonstrate his versatility and impact in diverse scientific fields. His impressive publication record and innovative research methodologies further underscore his qualifications for this award.

Education

2013 – 2016
Ph.D. in Physics
Muroran Institute of Technology, Japan

  • Thesis: Scanning Tunneling Studies of the Pseudo Gap in High Temperature Superconductors
  • Supervisor: Prof. Dr. rer. nat. Naoki Momono
  • Institute: Material Science Unit

2011 – 2013
Master of Science in Physics
Friedrich-Schiller-Universität Jena, Germany

  • Thesis: The Westerbork Synthesis Radio Telescope (WSRT): Legacy Survey: Radio Relics in Galaxy Clusters
  • Grade: 1.4
  • Supervisor: Dr. rer. nat. Matthias Hoeft
  • Institute: Thüringer Landessternwarte Tautenburg (TLS)

2008 – 2011
Bachelor of Science in Physics
Friedrich-Schiller-Universität Jena, Germany

  • Thesis: The setup of the Small Radio Telescope (SRT) Jena
  • Grade: 1.1
  • Supervisor: PD Dr. rer. nat. habil. Katharina Schreyer (Assistant Professor)
  • Institute: Astrophysikalisches Institut und Universitäts-Sternwarte (AIU)
  • Laboratory Experience: Gamma spectroscopy, Superconductivity, Lasers, Fourier interferometry, Scanning tunneling microscopes, Optical and radio telescopes

2004 – 2007
High School
Pestalozzi Gymnasium Meerane, Germany

2003 – 2004
High School
Ellsworth Community High School, USA

Work Experience

2020 – Present
Researcher in Machine Learning and Image Processing for Applications in Agriculture and Cell Biology
Muroran Institute of Technology, Japan

  • Research on detection and classification of cell features and movements using novel machine learning techniques
  • Estimating plant phenotyping with advanced machine learning methods
  • Institute Director: Prof. Dr. Shinya Watanabe
  • Institute: Computational Intelligence Laboratory

2016 – 2020
Researcher (Tenure Track) in Astrophysics and Cosmology
University of Hyogo, Japan

  • Research on detection and classification of diffuse shock emission in large-scale radio surveys using novel machine learning techniques
  • Automation of robotic telescopes
  • Education: Lectured on astrophysics for university students, high school students, and the general public
  • Institute Director: Prof. Dr. Yoichi Itoh
  • Institute: Center for Astronomy, Nishi-Harima Astronomical Observatory

Publication top Notes:

Fiduciary-Free Frame Alignment for Robust Time-Lapse Drift Correction Estimation in Multi-Sample Cell Microscopy