PhD in  Machine Learning and Intelligent Systems  
September 2021 - October 2024
Wroclaw University of Science and Technology, Wroclaw, Poland
Awarded fellowship: Marie Sklodowska-Curie Fellowship
Research Area: Machine learning and data-driven methods in multimodal data analysis
• Multi-dimensional information fusion models based on deep learning approaches
• Anomaly detection methods for multi-dimensional data analysis (PCA, Random forest, Deep CNN)
• Deep learning models for image processing methods for vision-based defect detection systems
• 3D computer vision techniques and algorithms—LiDAR point cloud classification
• Light weight deep convolutional neural network architect development (U-Net, Ensemble CNN)

MSc Control Systems Engineering
September 2019 - February 2021
Science and Research branch, Azad University, Tehran, Iran
Research Area: Intelligent control systems for process monitoring
• Machine learning models for real-time data analysis
• Adaptive neuro-fuzzy inference system for prediction of complex system states
• Reinforcement learning models for pattern recognition applications
• Real-time object detection methods (YOLO algorithm)
• Digital image processing methods is process monitoring
 
BSc Aerospace Engineering
September 2014 - June 2019
Science and Research branch, Azad University, Tehran, Iran
• Intelligent sensors for real-time decision-making systems
• Rapid prototyping of control systems
• ARM hardware programming for internet of things applications

Researcher (Data Science)
September 2021 - October 2024
AMC VIBRO SP. Z O.O. Krakow, Poland
 Focus: Development and optimization of machine learning (ML) models and LLM and managing CI/CD pipelines
• Development of custom ML and deep learning algorithms for big data analysis (Google cloud, MS Azure)
• Generative adversarial networks (GAN) applications in feature engineering
•Managing large-scale datasets using supervised\unsupervised learning models (SQL and NoSQL databases)
• Benchmarking and competitive analysis of ML models for performing data analysis tasks

Visiting Scientist
February 2024 - May 2024
Fraunhofer Institute for Structural Durability and System Reliability LBF Darmstadt, Germany
 Focus: Deep learning-driven industrial data processing pipelines
• Deep learning and transfer learning approaches for multimodal data analysis 
• Probabilistic uncertainty-aware decision fusion models development 
• Computer vision and machine learning approaches for complex systems monitoring