I recently defended my PhD in the field of computer vision and intelligent systems at Wroclaw university of science and technology. In 2021, I was recognized as the distinguished early-stage researcher and awarded the Marie Sklodowska-Curie fellowship by the European Union to pursue my PhD studies under support of the European Training Network on Monitoring Large-Scale Complex Systems (MOIRA) program.   

My published research has revolved around the development of lightweight deep convolutional neural networks (DCNN) and generative adversarial network (GAN) models for computer vision applications. In this direction, I have developed and studied different state-of-the-art deep learning models, including U-NET-based and fusion-based DCNN architectures, for performing different image processing tasks, including object segmentation and classification. I also worked on the DCNN models for classification and visualization of high-dimensional data through my PhD studies.

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

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

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   

Design of an Infrared Image Processing Pipeline for Robotic Inspection of Conveyor Systems in Opencast Mining Sites
Journal: Energies, September 2022, Link to paper   

For the full list of my conference papers please check out my Google Scholar page