|Expertise||Data Science, Artificial Intelligence, Cloud and Edge Computing|
Efterpi Paraskevoulakou is a PhD candidate at the University of Piraeus and a member of the Data & Cloud laboratory team. She received her Degree from the Department of Economics of the University of Piraeus in 2017 and her Postgraduate Diploma in “Big Data and Analytics” in 2020 from the University of Piraeus / Department of Digital Systems. Her research interests are focused on the study, evaluation and orchestration of internet computing services using artificial intelligence, machine learning and data analysis.
Personal Research Topics
Data Analytics / AI
Identification of data analysis problems, collection of large sets of structured and unstructured data from heterogeneous sources, purification and validation of data to ensure accuracy, completeness and uniformity, design and implementation of machine learning models and algorithms, data analysis for pattern and pattern detection, and in-depth machine learning for critical decision making.
Cloud and Edge Computing
Research and implementation -following the microservice architecture -applications using containers and modern technologies, study, and implementation of applications using the serverless architecture (Function as a Service – FaaS), utilization of modern technologies for orchestration of services in cloud environments and cloud computing environments computing (K8s Docker Compose and Swarm).
- Paraskevoulakou, E., & Kyriazis, D. (2021, March). Leveraging the serverless paradigm for realizing machine learning pipelines across the edge-cloud continuum. In 2021 24th Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN) (pp. 110-117). IEEE.