Yeganeh Jalali is a Ph.D. candidate in Computer Engineering (AI) at Shahrood University of Technology. Her research focuses on diabetic retinopathy severity grading from fundus images. She has several publications and holds BSc and MSc degrees with highest distinction.

Reza Ghadiri holds a Ph.D. in Artificial Intelligence and works as a Data Scientist. He applies machine learning and complex networks to financial data analysis and has experience in e-commerce strategy. His interests include graph learning and LLMs.

Mahshid Dehghanpour is a Ph.D. candidate in Artificial Intelligence and a lecturer at Shahrood University of Technology. She holds two Master's degrees: one in Computer Engineering and another in English Language Teaching. Her interdisciplinary research focuses on deep learning–based MRI analysis for the accurate diagnosis and differentiation of Multiple Sclerosis, with attention to its cognitive and linguistic impacts.

Mostafa Gholami is a Ph.D. candidate in Artificial Intelligence at Shahrood University of Technology. He ranked 29th nationally in the AI Ph.D. exam and holds BSc and MSc degrees from K. N. Toosi University. His research focuses on multimodal medical image segmentation and deep learning.

Zahraa Zamaani holds a bachelor's degree in Software Engineering from Mazandaran University and a master's degree in Artificial Intelligence from Eshraq Institute, Bojnord. She is currently pursuing a Ph.D. in Artificial Intelligence at Shahrood University of Technology.

Hassan Rezayi is a PhD student in Computer Science specializing in Artificial Intelligence, currently conducting research in image processing. Her academic focus involves developing advanced algorithms for visual data analysis and computer vision applications.

Alireza Saber is a researcher with a strong passion for higher education and a deep interest in artificial intelligence, particularly in computer vision, medical image analysis, and multimodal tasks. His ongoing research focuses on developing lightweight and interpretable models for visual data, and he has authored three research articles in this field to date.

Yasin Rezvani is a computer engineering undergraduate at Shahrood University of Technology. Passionate about AI and computer vision, he focuses on deep learning for medical image analysis and denoising. His interests center on advancing machine learning in healthcare through research, projects, and volunteering.

Rahil Chamanifar is a master's student in Computer Engineering – Artificial Intelligence and Robotics. Her work focuses on designing deep learning models for visual data analysis, including image recognition and reconstruction, and exploring interdisciplinary applications of machine learning.

Maryam Zarghani is a master's student in Artificial Intelligence and Robotics at Shahrood University of Technology. Her research field is image processing, focusing on semantic segmentation of high-resolution remote sensing images using deep neural networks.

Zahra Hosseini is a postgraduate student specializing in Artificial Intelligence and Robotics. She is currently working on her thesis, which focuses on image segmentation using transformer models.

Elham Davarpanah is an M.Sc. student in Artificial Intelligence at Shahrood University of Technology. She works in the field of medical image processing and is interested in machine learning, deep learning, image and text processing, and data engineering.

Mahdieh Sharifi completed her Master's in Image Processing at Shahrood University of Technology under Dr. Mansour Fateh, defending her thesis with excellent distinction and publishing two ISI papers. She now pursues a Ph.D. at Shahrood University of Technology, focusing on security and networking.

Sadjad Rezvani earned his master’s degree from Shahrood University of Technology with a thesis on masked face recognition using deep learning. As a Computer Vision Engineer at Semnan Technology Park, he worked on face and license plate recognition systems and a salt crack sorting machine.

Nasim Danay-e Tous is an M.Sc. graduate in Artificial Intelligence whose research focused on medical image processing, particularly image classification and segmentation using deep learning techniques. She is interested in deep learning models, machine learning, and computer vision.

Mehri Sadat Mousavi is an M.Sc. graduate from Shahrood University of Technology, specializing in deep learning and machine learning within the field of image processing.