EDUCATION
PhD in Machine Learning and Intelligent Systems
September 2021–September 2024
Wroclaw University of Science and Technology, Wroclaw, Poland
Awarded fellowship: Marie Skłodowska-Curie Fellowship - H2020 project European Union
Research Area: AI-driven multimodal data fusion and analysis for real-time complex system monitoring
PhD in Machine Learning and Intelligent Systems
September 2021–September 2024
Wroclaw University of Science and Technology, Wroclaw, Poland
Awarded fellowship: Marie Skłodowska-Curie Fellowship - H2020 project European Union
Research Area: AI-driven multimodal data fusion and analysis for real-time complex system monitoring
- Lightweight Deep convolutional neural network (DCNN) architecture development (U-Net, CNN fusion models)
- Deep learning-driven multidimensional data fusion framework for complex system condition monitoring
- Feature engineering in DCNNs via generative adversarial networks (GANs) for enhanced representation learning
- Advanced unsupervised dimensionality reduction techniques for scalable big data visualization
MSc Control Systems Engineering
September 2019–February 2021
Science and Research branch, Azad University, Tehran, Iran
Research Area: AI-driven autonomous control systems for adaptive predictive process monitoring
September 2019–February 2021
Science and Research branch, Azad University, Tehran, Iran
Research Area: AI-driven autonomous control systems for adaptive predictive process monitoring
- Machine Learning models application for optimizing complex industrial systems
- Bio-Inspired optimization methods (e.g., reinforcement learning, Bee algorithm) for industrial applications
BSc Aerospace Engineering
September 2014–June 2019
Science and Research branch, Azad University, Tehran, Iran
September 2014–June 2019
Science and Research branch, Azad University, Tehran, Iran
- AI-enhanced intelligent sensors for autonomous real-time decision-making in Industrial automation
- Rapid model-based control prototyping with edge computing and digital twins
WORK EXPERIENCE
Postdoctoral Fellow
September 2024 - December 2024
Wroclaw University of Science and Technology, Wroclaw, Poland
Focus: AI-driven risk assessment models with multimodal data fusion: integrating text, video, and audio
Postdoctoral Fellow
September 2024 - December 2024
Wroclaw University of Science and Technology, Wroclaw, Poland
Focus: AI-driven risk assessment models with multimodal data fusion: integrating text, video, and audio
- Cross-Domain heterogeneous sensor fusion for explainable risk assessment in edge-AI systems
- Dynamic weighted voting for multisource data fusion using an ensemble of deep learning models approach
Data Scientist
September 2021 - September 2024
AMC VIBRO SP. Z O.O., Krakow, Poland
Focus: Unified Multimodal Data Pipelines: Cloud-Based Processing for Industrial Systems Monitoring
September 2021 - September 2024
AMC VIBRO SP. Z O.O., Krakow, Poland
Focus: Unified Multimodal Data Pipelines: Cloud-Based Processing for Industrial Systems Monitoring
- Deep learning-based models development for anomaly detection in multimodal industrial data
- Benchmarking and competitive analysis of machine learning models for performing data analysis tasks
Visiting Scientist
February 2024 - May 2024
Fraunhofer Institute for Structural Durability and System Reliability, Darmstadt, Germany
Focus: Deep learning-driven condition monitoring frameworks
February 2024 - May 2024
Fraunhofer Institute for Structural Durability and System Reliability, Darmstadt, Germany
Focus: Deep learning-driven condition monitoring frameworks
- Multimodal data fusion approaches in condition monitoring models
- Probabilistic uncertainty-aware decision fusion of neural network