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

Prof. Bobo Tian, East China Normal University, China

Bobo Tian, is a distinguished researcher and professor at the Key Laboratory of Polar Materials and Devices at East China Normal University (ECNU) in Shanghai, China. He obtained his Ph.D. in Microelectronics and Solid-State Electronics from the Shanghai Institute of Technical Physics (SITP), part of the Chinese Academy of Sciences, in 2016. During his doctoral studies, he participated in a collaborative project with CentraleSupélec at Université Paris-Saclay in France, further enhancing his international research experience. Since joining ECNU in 2016, Dr. Tian has made significant contributions to the field of electronics and materials science, becoming a full professor in 2019. He was honored with the Excellent Young Scientists Fund from the National Natural Science Foundation of China (NSFC) in 2022, recognizing his innovative research in ferroelectric memory and neuromorphic computing. Additionally, he serves as the assistant director of the Shanghai Center of Brain-inspired Intelligent Materials and Devices. Dr. Tian has authored over 100 publications in prestigious journals, including Nature Materials, Nature Electronics, and Nature Communications, reflecting his impactful work in advancing the understanding of materials and devices for next-generation technologies.

Summary of Suitability for the Best Researcher Award

Education and Academic Background:
Bobo Tian earned his Ph.D. in Microelectronics and Solid-State Electronics from the Shanghai Institute of Technical Physics (SITP), Chinese Academy of Sciences, in 2016. His doctoral studies included a cooperative project with CentraleSupélec, Université Paris-Saclay in France, enriching his international research exposure. Since 2019, he has served as a professor at East China Normal University and was recognized by the National Natural Science Foundation of China (NSFC) with the Excellent Young Scientists Fund in 2022.

Work Experience

Professor
Key Laboratory of Polar Materials and Devices, Ministry of Education
Department of Electronics, East China Normal University, Shanghai, China
2019 – Present

Director Assistant
Shanghai Center of Brain-inspired Intelligent Materials and Devices, Shanghai, China
Present

Researcher
East China Normal University, Shanghai, China
2016 – 2019