| Affiliation | Researcher |
| Title | PhD Candidate |
| Expertise | Data Science, Machine Learning, Deep Learning, Time-series, Telecommunications |
Short CV
Experienced R&D researcher, with over 10 years of experience in military telecommunications. Excellent reputation for troubleshooting and implementing functional improvements. Data scientist, willing to contribute to the success of the team through hard work. PhD candidate in Applied Data Science.
Personal Research Topics
Detection of anomalies in time series data, based on ML / DL data models.
Research and development of ML / DL solutions for real life problems in the shipping industry, such as predictable maintenance, anomaly detection, time series forecasting and scheduling
Improved food safety through time series based on food recall predictions and NLP data models
Research and development of ML / DL solutions for real-life problems in the agricultural industry, including maintenance forecasting, anomaly detection, chronological forecasting, NLP.
Research Projects
Scientific Publications
Conference Articles
- Makridis, G., Kyriazis, D., & Plitsos, S. (2020, September). Predictive maintenance leveraging machine learning for time-series forecasting in the maritime industry. In 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) (pp. 1-8). IEEE.
- Makridis, G., Mavrepis, P., Kyriazis, D., Polychronou, I., & Kaloudis, S. (2020, October). Enhanced Food Safety Through Deep Learning for Food Recalls Prediction. In International Conference on Discovery Science (pp. 566-580). Springer, Cham.