Maria Drakaki

Professor

International Hellenic University

Greece

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About

Maria Drakaki is a Professor at the International Hellenic University, Greece. She specializes in machine learning applications in disaster management, with recent research focused on wildfire prediction, social media analysis during disasters, and mixed migration flow forecasting. Her work also explores the use of remote sensing data and innovative modeling techniques to enhance community resilience and procurement strategies during emergencies.

Articles (16)

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2025

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2025

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2024

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2022

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2021

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2021

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2021

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2020

Collaborators (1)

Yannis Karnavas

Professor

Democritus University of Thrace School of Engineering

GREECE

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Maria Drakaki

Research Interests

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Articles (16)

A Multimodal Ensemble Deep Learning Model for Wildfire Prediction in Greece Using Satellite Imagery and Multi-Source Remote Sensing Data

Utilizing LLMs and ML Algorithms in Disaster-Related Social Media Content

Public procurement initiatives during the Covid-19 pandemic and lessons learned: the case study of Greece

An Investigation of Time Series Models for Forecasting Mixed Migration Flows: Focusing in Germany

No one stands alone: partnerships for community resilience

A transformers-based approach on industrial disaster consequence identification from accident narratives

Earthquake Predictions Using Machine Learning and Acoustic Emissions

Machine Learning in Disaster Management: Recent Developments in Methods and Applications

A colored petri net-based modeling method for supply chain inventory management

Machine learning and deep learning based methods toward industry 4.0 predictive maintenance in induction motors: State of the art survey

No one stands alone: partnerships for community resilience

Machine Learning in Disaster Management: Recent Developments in Methods and Applications

Investigating the impact of site management on distress in refugee sites using Fuzzy Cognitive Maps

A Combined Short Time Fourier Transform and Image Classification Transformer Model for Rolling Element Bearings Fault Diagnosis in Electric Motors

A fuzzy cognitive map-based approach to prioritise environmental objectives in the environmental management systems of ports

Study on fault diagnosis of broken rotor bars in squirrel cage induction motors: a multi‐agent system approach using intelligent classifiers

Collaborators (1)

Yannis Karnavas

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