I recently completed my PhD in Machine Learning and Intelligent Systems at Wroclaw University of Science and Technology. In 2021, I was honored as a distinguished early-stage researcher and awarded the prestigious Marie Skłodowska-Curie Fellowship by the European Union. This fellowship supported my doctoral studies as part of the European Training Network's MOIRA program, focused on monitoring large-scale complex systems.
My research focuses on developing lightweight deep convolutional neural networks (DCNNs) and generative adversarial networks (GANs) for computer vision and heterogeneous data processing applications. During my PhD, I designed and evaluated state-of-the-art deep learning models, including U-NET-based and fusion-based DCNN architectures, to address tasks such as object segmentation, classification, and decision fusion. I also explored DCNN models for the classification and visualization of high-dimensional data, advancing methodologies for image processing and decision-making applications.
My research focuses on developing lightweight deep convolutional neural networks (DCNNs) and generative adversarial networks (GANs) for computer vision and heterogeneous data processing applications. During my PhD, I designed and evaluated state-of-the-art deep learning models, including U-NET-based and fusion-based DCNN architectures, to address tasks such as object segmentation, classification, and decision fusion. I also explored DCNN models for the classification and visualization of high-dimensional data, advancing methodologies for image processing and decision-making applications.
Recent journal papers
Selected Publications
1. Advanced Image Analytics for Mobile Robot-Based Condition Monitoring in Hazardous Environments: A Comprehensive Thermal Defect Processing Framework
Journal: Sensors, May 2024
Link to the paper
2. Semantic Segmentation of Thermal Defects in Belt Conveyor Idlers Using Thermal Image Augmentation and U-Net-Based Convolutional Neural Network
Journal: Nature—Scientific Reports, February 2024
Link to the paper
3. Automated Identification of Overheated Belt Conveyor Idlers in Thermal Images with Complex Backgrounds Using Binary Classification with CNN
Journal: Sensors, October 2022
Link to paper
4. Design of an Infrared Image Processing Pipeline for Robotic Inspection of Conveyor Systems in Opencast Mining Sites
Journal: Energies, September 2022
Link to paper
5. Fuzzy Logic, Neural-Fuzzy Network, and Honey Bees Algorithm to Develop the Swarm Motion of Aerial Robots
Journal: Evolving Systems, June 2021
Link to paper
👉 For a complete list of my conference and journal publications, please visit my Google Scholar page.
Journal: Sensors, May 2024
Link to the paper
2. Semantic Segmentation of Thermal Defects in Belt Conveyor Idlers Using Thermal Image Augmentation and U-Net-Based Convolutional Neural Network
Journal: Nature—Scientific Reports, February 2024
Link to the paper
3. Automated Identification of Overheated Belt Conveyor Idlers in Thermal Images with Complex Backgrounds Using Binary Classification with CNN
Journal: Sensors, October 2022
Link to paper
4. Design of an Infrared Image Processing Pipeline for Robotic Inspection of Conveyor Systems in Opencast Mining Sites
Journal: Energies, September 2022
Link to paper
5. Fuzzy Logic, Neural-Fuzzy Network, and Honey Bees Algorithm to Develop the Swarm Motion of Aerial Robots
Journal: Evolving Systems, June 2021
Link to paper
👉 For a complete list of my conference and journal publications, please visit my Google Scholar page.
Selected conferences and workshops (2021-2024)
University of Oxford - 2022
University of Oxford - 2022
Survishno conference - Toulouse - 2023
University of Huddersfield - 2023
PhD defense ceremony - Wroclaw, 2024
Luleå University of Technology - 2024
University of Oxford - 2022
University of Oxford - 2022
Survishno conference - Toulouse - 2023
University of Huddersfield - 2023
PhD defense ceremony - Wroclaw, 2024
Luleå University of Technology - 2024
Contact
Dr. Mohammad Siami
mohammad.siami-araghi@pwr.edu.pl
Wrocław University of Science and Technology
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Some interesting pics from my previous published papers