Prof. Zuofeng Zhou | Optical Imaging | Best Researcher Award

Prof. Zuofeng Zhou | Optical Imaging | Best Researcher AwardΒ 

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.

πŸŽ“ Education

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

πŸ’Ό 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

πŸ† Achievements & Contributions

  • πŸ“œ 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)
  • πŸ”¬ Research Interests:
    • Image denoising & computer vision
    • Machine learning & hyperspectral remote sensing
    • Image/video analysis
    • Industrialization of scientific and technological achievements
  • πŸ“Œ Patents:
    • Obtained 14 technology and product patent authorizations
  • πŸš€ 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
  • πŸ’° 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

πŸ… Awards & Honors

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

PublicationΒ 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

 

Ms. Maryam Moshrefizadeh | Computer Vision Awards | Best Researcher Award

Ms. Maryam Moshrefizadeh | Computer Vision Awards | Best Researcher AwardΒ 

Ms. Maryam Moshrefizadeh, Siant Louis University, United States

Maryam Moshrefizadeh is a Ph.D. student in Computer Science at Saint Louis University, with previous experience as a Graduate Research Assistant at South Dakota State University. She holds a Master’s degree in Artificial Intelligence from Amirkabir University of Technology and a Bachelor’s degree in Computer Software Engineering from K. N. Toosi University of Technology, both in Tehran, Iran. Maryam’s research interests lie in computer vision, deep learning, and machine learning. Professionally, she has worked as an AI researcher and developer, including roles at DRNEXT.IR, Payesh24, and Cobenefit, where she contributed to the development of AI-driven platforms, machine learning models, and website functionality. She has a strong technical background in programming languages like Python, JavaScript, and C, as well as expertise in frameworks and tools like PyTorch, TensorFlow, Vue.js, and Docker. Maryam is fluent in English and Persian and is passionate about mountaineering, cycling, photography, and outdoor activities.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award

Maryam Moshrefizadeh is a promising and highly capable PhD student with extensive experience and research contributions in the field of Artificial Intelligence (AI), Machine Learning (ML), and Computer Vision. Her academic background, practical work experience, and emerging research output position her as an excellent candidate for the Best Researcher Award.

Education

πŸŽ“ Saint Louis University
Ph.D. | Graduate Research Assistant | Computer Science
πŸ“… Jan 2024 ‑ Dec 2028 | St. Louis, MO, USA

πŸŽ“ South Dakota State University
Ph.D. | Graduate Research Assistant | Computer Science
πŸ“… Aug 2022 ‑ Dec 2023 | Brookings, SD, USA

πŸŽ“ Amirkabir University of Technology (Polytechnic)
M.S. in Artificial Intelligence
πŸ“… Jan 2014 ‑ Sept 2017 | Tehran, Iran

πŸŽ“ K. N. Toosi University of Technology
B.S. in Computer Software Engineering
πŸ“… Sept 2009 ‑ Aug 2013 | Tehran, Iran

Work Experience

πŸ’Ό DrNext.ir | Developer and AI Researcher
πŸ“… Nov 2020 – Present
β€’ Developed prescription writing notepad allowing doctors to type or use a pen πŸ–ŠοΈ
β€’ Implemented features for appointment scheduling and clinic reception handling πŸ—“οΈ
β€’ Worked in an agile team with Kanban, Scrum, Jira, and Git πŸ”§

πŸ’Ό Payesh24 | AI Engineer
πŸ“… Nov 2017 – Jul 2020
β€’ Researched and implemented various AI algorithms and machine learning models πŸ€–
β€’ Worked with supervised and unsupervised learning algorithms such as SVM and KNN πŸ“Š

πŸ’Ό BeFine | Developer
πŸ“… Apr 2006 – Feb 2009
β€’ Developed and maintained website for diabetic products and information πŸ’»
β€’ Shared health tips and updates on diabetes 🩺

πŸ’Ό Cobenefit Developer | Remote
πŸ“… Oct 2021 – Present
β€’ Develop and maintain websites using Vue.js, ES6, HTML5, CSS3, and SASS 🌐

Research Interests

πŸ” Computer Vision | πŸ€– Deep Learning | πŸ“š Machine Learning

PublicationΒ Top Notes

EC-WAMI: Event Camera-Based Pose Optimization in Remote Sensing and Wide-Area Motion Imagery

Multimodal Fusion of Heterogeneous Representations for Anomaly Classification in Satellite Imagery