Posts by Collection

Improving the Safety, Reliability, and Efficiency of Cargo Transportation using Deep Learning

Published: October 01, 2019

• Multi-class object detection using RetinaNet
• Progress meetings with the industrial partner Streamba

Automatic Identification of Asbestos Fibres in Air Samples using Deep Learning

Published: October 01, 2019

• Instance segmentation using U-Net
• Analysis of fibre size and shape distributions
• Progress meetings with industrial partner Ethos Environmental

Global Wheat Detection (Kaggle Competition)

Published: October 01, 2020

• Implementation of various Cut and Mix plus Style Transfer image augmentations
• Single-class object detection using EfficientDet

Predicting AirBnb Prices in Athens using Machine Learning

Published: October 01, 2021

• Data Preprocessing
• Feature Engineering
• Regression using Random Forest, XGBoost

Real-time Bolt Detection Using Deep Learning

Published: January 01, 2022

• Development of a YOLOv5 deep learning bolt detector
• Real-time bolt detection using ZED 2i camera and Edge AI Gateway

Curriculum Vitae

Classification of ultrasound images of carotids using Wavelet Transforms and SVM

Published in Diploma Thesis, National Technical University of Athens, 2017

Diploma Thesis implementing SVMs and Wavelet Transforms for medical image classification.

Recommended citation: Stamoulakatos, A. (2017). Classification of ultrasound images of carotids using Wavelet Transforms and SVM (Diploma Thesis, NTUA).

Automatic annotation of subsea pipelines using deep learning

Published in Sensors, MDPI, 2020

Journal publication in Sensors (MDPI) exploring deep learning methodologies for subsea pipeline video survey automated annotations.

Recommended citation: Stamoulakatos, A., Anagnostis, A., & Tachtatzis, C. (2020). Automatic annotation of subsea pipelines using deep learning. Sensors, 20(3), 674. https://doi.org/10.3390/s20030674

A Comparison of the Performance of 2D and 3D Convolutional Neural Networks for Subsea Survey Video Classification

Published in IEEE OCEANS 2021, 2021

Conference paper comparing 2D and 3D CNN architectures for temporal and spatial modeling of underwater pipeline inspection videos.

Recommended citation: Stamoulakatos, A., & Tachtatzis, C. (2021). A Comparison of the Performance of 2D and 3D Convolutional Neural Networks for Subsea Survey Video Classification. In OCEANS 2021 (pp. 1-6). IEEE. https://ieeexplore.ieee.org/document/9706125

Automatic annotation of subsea pipelines using deep learning

Published in PhD Thesis, University of Strathclyde, 2023

Doctoral Thesis exploring the automation of subsea survey video annotations using Deep Learning methodologies.

Recommended citation: Stamoulakatos, A. (2023). Automatic annotation of subsea pipelines using deep learning (Doctoral dissertation, University of Strathclyde). https://strathprints.strath.ac.uk/

Private Maths/Physics Tutoring

Private Tutoring, , 2015

• Assisted high school students with maths and physics exercises.

C++ Teaching Assistant

Undergraduate Course, University of Strathclyde, EEE Department, 2018

• Assisted 2nd year students in C++ lab exercises and final project
• Taught fundamentals of coding and object oriented programming