Group Members
Amir Hossein Bakhtiari
Ph.D. student
Amir Hossein Bakhtiari completed his M.Sc. in Computer Engineering – Artificial Intelligence at Kharazmi University under the supervision of Professor Azadeh Mansouri. His master’s thesis, “No-reference Video Quality Assessment Using Deep Neural Networks,” focused on developing deep-learning–based methods for no-reference video quality assessment. During his M.Sc. studies, he conducted research in Video Quality Assessment with an emphasis on deep neural architectures and learning-based perceptual metrics. He is currently pursuing a Ph.D. in Computer Engineering at Queen’s University in Kingston, where his research focuses on video action recognition and deformable linear objects perception.
Alireza Rahnama
M.Sc
I graduated with a master’s degree in Artificial Intelligence (AI) from Kharazmi University and Dr. Mansouri supervised my master’s thesis, which was titled “Action Recognition in compressed domain using Deep Learning”. I am a highly motivated researcher with an extensive experience in machine learning and video/image analysis. proficiency in temporal summarization and video understanding, with multiple publications in IEEE conferences.
Mohadeseh Safari
M.Sc student
Mohadeseh Safari is currently pursuing her M.Sc. in Computer Science – Data Mining at Kharazmi University under the supervision of Professor Azadeh Mansouri. Her master’s thesis, titled “Compressed-Domain Video Action Recognition Using Vision–Language Models,” investigates the capabilities of multimodal vision–language architectures and their inherent visual knowledge in advancing action recognition directly from compressed-domain data. During her M.Sc. studies, she has focused on research at the intersection of video understanding, multimodal learning, and representation learning, with an emphasis on leveraging modern vision–language models for efficient and robust action recognition.
Alireza Nemati
M.Sc student
Alireza Nemati is pursuing his M.Sc. in Computer Engineering – Artificial Intelligence at Kharazmi University under the supervision of Professor Azadeh Mansouri. His master’s thesis, “Face Forensics Detection Using Deep Features,” focuses on developing deep learning–based methods for detecting synthetically generated (fake) faces through deep feature analysis. He is currently working as a Software Engineering Expert in the IT Department of Tejarat Bank. He has good experience in Python, Django, and building scalable server-side applications.
Behnam Samadi
M.Sc student
Behnam Samadi is a PhD candidate in Computer Engineering – Artificial Intelligence. He completed his Master’s thesis in 2019 under the supervision of Professor Dr. Mansouri, titled “Boosting Image Captioning Methods Based on Contextual Information” at Kharazmi University, where he also served as the professor’s teaching assistant. He has also studied and worked at Shahid Beheshti University and K. N. Toosi University of Technology, and gained international research experience as a Guest Researcher at the University of Passau. With over three years of industry experience in computer vision and data science, his research focuses on machine learning across diverse data types, with an emphasis on visual data, including point cloud processing, image and video analysis.
Parham Khadivi
M.Sc
Parham Khadivi completed his M.Sc. in Computer Engineering – Artificial Intelligence at Kharazmi University under the supervision of Professor Azadeh Mansouri. His master’s thesis, “Lightweight Image Super-Resolution Using Local and Global Feature Fusion,” focused on developing efficient deep learning architectures for single-image super-resolution with an emphasis on local and global feature fusion mechanisms. During his M.Sc. studies, he conducted research in the field of image super-resolution, specializing in lightweight and perceptually optimized deep neural networks.
Fariba Saadati Monem
Ph.D. student
I completed my Bachelor’s degree in Computer Engineering (Software) at Kharazmi University and my Master’s degree in Computer Engineering with a focus on Artificial Intelligence. During my academic journey, I have worked on projects related to image and video processing as well as image compression. The title of my Master’s thesis was “Latent Space Scalability In Learned Image Compression.” Currently, I am pursuing a PhD in Artificial Intelligence at Shahid Beheshti University. I am deeply passionate about research in image processing, image compression, and machine learning.
Amirhossein Heydari
M.Sc student
Amirhossein Heydari is completing his M.Sc. in Computer Engineering – Artificial Intelligence and Robotics at Kharazmi University under the supervision of Prof. Azadeh Mansouri. His thesis, “Backdoor Defense via Aggregation of Outsourced Models using Multi-Stage Knowledge Distillation,” focuses on improving the resilience of deep neural networks against training-time backdoor attacks in outsourced learning settings. His research interests include backdoor attacks and defenses in deep neural networks, adversarial machine learning, robustness and security of AI systems, as well as broader areas such as deep learning, computer vision, AI agents, and trustworthy AI.
Marzieh Hosseinkhani
M.Sc
Marzieh Hosseinkhani holds an M.Sc. in Computer Engineering – Artificial Intelligence from Kharazmi University, supervised by Professor Azadeh Mansouri. Her thesis, “Video Super-Resolution Using Spatio-Temporal Information,” introduced a novel DCT- and quantization-based loss function to enhance perceptual video quality and resolution. She has written several research publications in image and video processing and compression, and has professional experience in video compression, video processing, and applied machine learning across multiple companies.
Zohreh Yarahmady
M.Sc
Zohreh Yarahmady obtained her M.Sc. in Computer Engineering – Artificial Intelligence from Kharazmi University and her B.Sc. in Computer Science from Chamran University of Ahvaz. Her master’s thesis, “No Reference Screen Content Image Quality Assessment With Proxy Labels,” was accepted as a paper at the 7th International Conference on Pattern Recognition and Image Analysis (IPRIA 2025). Additionally, she served on the executive team for the National and International Conference on Computer Vision in 1402. She is familiar with image processing, object recognition, machine learning, and computer vision.
Mohammadreza Raie
M.Sc
My name is Mohammadreza, and I have a strong interest in multidisciplinary topics and the application of artificial intelligence, particularly in computer vision across various fields. Each project I complete provides valuable experience that will enhance my future endeavors. For my master’s thesis, titled “Image Quality Aggregation in Deep Learning-Based Assessment,” I worked under the supervision of Dr. Mansouri. Collaborating with Dr. Mansouri and her research team has been a valuable experience, and I look forward to continuing our professional relationship.
Narges Honarjou
M.Sc
I hold a Master’s degree in Artificial Intelligence, where my thesis focused on violence detection using advanced neural networks. I have published research in well-known conferences and journals, including work on feature map correlations for fake face detection and violence detection in compressed video. My academic interests center on machine vision, image reconstruction, and developing intelligent systems, and I am actively seeking opportunities to contribute to cutting-edge research in these fields.
Mohammad Nouri
M.Sc
I hold a Master’s degree in Artificial Intelligence, where I completed my thesis on video quality assessment in the compressed domain under the supervision of Dr. Azadeh Mansouri. After graduating, I continued working in AI with a strong interest in Natural Language Processing. My work focuses on sentiment analysis, claim detection, and other NLP tasks aimed at extracting meaningful insights from text. I’m passionate about building intelligent systems that better understand human language and contribute to real-world applications. I’m continuously exploring new ideas, learning, and developing impactful AI solutions.
Maryam Heydari
M.Sc
I received my B.Sc. degree in Software Engineering from the University of Zanjan, Iran, and subsequently earned my M.Sc. degree with a thesis entitled “An Improved Approach to Non-Reference Image Quality Assessment” under the supervision of Dr. Mansouri. After completing my graduate studies, I entered the industry, where I have been actively involved in the development and implementation of software systems. My current interests include software system design, service-oriented architectures, data analysis, and the application of artificial intelligence techniques in real-world problem-solving.
