Dr. Mehdi Samieiyeganeh

Research Fellow

Biography

Dr. Mehdi Samieiyeganeh is a Senior Lecturer in Computer Science. His work explores Machine Learning, Deep Reinforcement Learning, Deep Learning, Agent-based systems, and Medical Image Processing, with a focus on applications in echocardiography image segmentation and autonomous systems.

Research Interests

Machine Learning Deep learning Deep Reinforcement Learning Autonomous systems Medical Image Processing

Selected Publications

Mehdi Samieiyeganeh, et al. (2023). "Deep reinforcement learning to multi-agent deep reinforcement learning".

Mehdi Samieiyeganeh, et al. (2020). "An overview of deep learning techniques in echocardiography image segmentation".

Mehdi Samieiyeganeh, et al. (2024). "Optimizing Data Management with Elastic Databases, Blockchain, and AI Integration".

{"Mehdi Samieiyeganeh, et al. (2024). \"Sustainability Using Deep Reinforcement Learning" => "A Literature Review\"."}

Mehdi Samieiyeganeh, et al. (2012). "Comparison for image edge detection algorithms".

Mehdi Samieiyeganeh, et al. (2012). "Utilization data mining to detect spyware".

Mehdi Samieiyeganeh, et al. (2012). "A Model for Fuzzy Logic Based Machine Learning Approach for Spam Filtering".