Hi, I'm Alireza Maleki
BASU Alumnus (M.Sc. in Artificial Intelligence & Robotics)
Passionate about Medical Images, Federated Learning, Generative Models, and Bioinformatics
BASU Alumnus (M.Sc. in Artificial Intelligence & Robotics)
Passionate about Medical Images, Federated Learning, Generative Models, and Bioinformatics
I am a Master's student in Artificial Intelligence & Robotics at Bu-Ali Sina University, where I work as a Graduate Student Researcher at the Robot Intelligence & Vision Lab under the supervision of Prof. Hassan Khotanlou. My research focuses on developing innovative solutions at the intersection of medical imaging and privacy-preserving machine learning.
Throughout my academic journey, I have published 4 peer-reviewed papers in prestigious journals and conferences, including work on breast cancer and gastric cancer diagnosis using deep learning, federated learning for medical image classification, and deepfake detection with enhanced generalization. My work bridges the gap between theoretical research and practical healthcare applications, with a strong emphasis on data privacy and model robustness.
As a dedicated educator, I have served as a Teaching Assistant for 10+ courses covering topics such as Machine Learning, Deep Learning, Computer Vision, and Pattern Recognition. I am also a part-time instructor at Yasan Academy, where I teach Python programming and IoT. My commitment to both research excellence and education has been recognized through multiple awards, including the Best Paper Award at the 16th International Conference on Information and Knowledge Technology (IKT) at Amir Kabir University of Technology (Tehran Polytechnic) in December 2025.
MS in Artificial Intelligence & Robotics
BS in Computer Engineering
Graduate Student Researcher (Full-Time)
Advisor: Prof. Hassan Khotanlou
Python and IoT Instructor (Part-Time)
Amir Kabir University of Technology (Tehran Polytechnic)
Dec 2025Bu-Ali Sina University
Dec 2024Under the supervision of Prof. Hassan Khotanlou
Under the supervision of Dr. Muharram Mansoorizadeh
Under the supervision of Dr. Mir Hossein Dezfoulian
Master Thesis
Developing federated learning approaches for privacy-preserving medical image classification.
View CodeMaster Thesis
Applying federated learning techniques for COVID-19 diagnosis from medical images.
View CodeResearch Work
Developing robust deepfake detection models with enhanced cross-forgery generalization.
View CodeResearch Work
Hybrid deep learning approach for gastric cancer detection from histopathology images.
View CodeResearch Work
Predictive modeling for heart disease diagnosis using machine learning.
View CodeResearch Work
Deep learning model for breast cancer diagnosis from histopathology images.
View CodeDIP Project
Comprehensive framework for image classification and noise reduction.
View CodeDL Project
Deep learning system for automated traffic sign detection and classification.
View CodeAdvanced Topics in AI Project
Automated colorization of grayscale images using deep learning techniques.
View CodeInformation Retrieval Project
Binary classification: Human-Written vs. Machine-Generated text detection.
View CodeHamedan, Iran