Prof. Raziyeh Pourdarbani | Computer Vision Awards | Best Researcher Award

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Prof. Raziyeh Pourdarbani | Computer Vision Awards | Best Researcher Award 

Prof. Raziyeh Pourdarbani, University of Mohaghegh Ardabili, Iran

Dr. Razieh Pourdarbani is a professor in the Department of Biosystems Engineering at the Faculty of Agricultural and Natural Resources, University of Mohaghegh Ardabili, Ardabili, Iran. She holds a Ph.D. in Agricultural Mechanization Engineering from the University of Tabriz (2012), where her dissertation focused on sorting date fruits based on maturity stages using image processing. She also earned her M.Sc. (2009) and B.Sc. (2005) degrees in Agricultural Mechanization and Machinery Engineering, respectively, from the same university. Dr. Pourdarbani’s research specializes in precision agriculture, image processing, artificial intelligence, and machine vision. Her contributions to these fields aim to advance agricultural technologies and systems for improved efficiency and sustainability.

Professional Profile:

GOOGLE SCHOLAR

Suitability for the Research for Best Researcher Award

Razieh Pourdarbani, born on December 9, 1982, is a professor at the Department of Biosystems Engineering, University of Mohaghegh Ardabili, Iran. With a Ph.D. in Agricultural Mechanization Engineering from the University of Tabriz (2012), her dissertation on date fruit sorting using image processing laid the foundation for her expertise in precision agriculture and automation.

🎓 Education

  • Ph.D. in Agricultural Mechanization Engineering
    • Institution: University of Tabriz
    • Year: 2012
    • Dissertation: Sorting of Date Fruit Based on Maturity Stages Using Image Processing
  • M.Sc. in Agricultural Mechanization Engineering
    • Institution: University of Tabriz
    • Year: 2009
    • Thesis: Investigation on Apple Sorting Using Image Processing
  • B.Sc. in Agricultural Machinery Engineering
    • Institution: University of Tabriz
    • Year: 2005

🏢 Work Experience

  • Professor, Department of Biosystems Engineering
    • Institution: Faculty of Agricultural and Natural Resources, University of Mohaghegh Ardabili
    • Role: Specializing in Precision Agriculture, Machine Vision, Image Processing, and Artificial Intelligence.

🏆 Achievements and Honors

  • 🎖 Recognized Expert in Precision Agriculture and Image Processing.
  • 🏅 Pioneer in integrating Artificial Intelligence and Machine Vision in agricultural mechanization.
  • 📚 Published numerous influential papers in the field of agricultural engineering and biosystems.
  • 🌟 Mentored students and researchers in advanced biosystems engineering applications.

Publication Top Notes:

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

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

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

🎓 Saint Louis University
Ph.D. | Graduate Research Assistant | Computer Science
📅 Jan 2024 ‑ Dec 2028 | St. Louis, MO, USA

🎓 South Dakota State University
Ph.D. | Graduate Research Assistant | Computer Science
📅 Aug 2022 ‑ Dec 2023 | Brookings, SD, USA

🎓 Amirkabir University of Technology (Polytechnic)
M.S. in Artificial Intelligence
📅 Jan 2014 ‑ Sept 2017 | Tehran, Iran

🎓 K. N. Toosi University of Technology
B.S. in Computer Software Engineering
📅 Sept 2009 ‑ Aug 2013 | Tehran, Iran

Work Experience

💼 DrNext.ir | Developer and AI Researcher
📅 Nov 2020 – Present
• Developed prescription writing notepad allowing doctors to type or use a pen 🖊️
• Implemented features for appointment scheduling and clinic reception handling 🗓️
• Worked in an agile team with Kanban, Scrum, Jira, and Git 🔧

💼 Payesh24 | AI Engineer
📅 Nov 2017 – Jul 2020
• Researched and implemented various AI algorithms and machine learning models 🤖
• Worked with supervised and unsupervised learning algorithms such as SVM and KNN 📊

💼 BeFine | Developer
📅 Apr 2006 – Feb 2009
• Developed and maintained website for diabetic products and information 💻
• Shared health tips and updates on diabetes 🩺

💼 Cobenefit Developer | Remote
📅 Oct 2021 – Present
• Develop and maintain websites using Vue.js, ES6, HTML5, CSS3, and SASS 🌐

Research Interests

🔍 Computer Vision | 🤖 Deep Learning | 📚 Machine Learning

Publication 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