I have primarily focused my work on semantic indexing in the domain of Greek literature. Specifically, I have placed emphasis on developing a deep learning architecture for text classification, taking Genre/Form terms into account. This endeavor brought forth distinct challenges, largely arising from the use of archaic Greek language and the varying quality of the source text, which was frequently impacted by OCR applied to digital books. ECARLE website

My primary focus has been on Question Answering within the biomedical field. Specifically, I aimed to refine the conceptualization of QA by conducting an in-depth study of related works in this area. This involved constructing various learning models, creating novel algorithms, and integrating multiple resources.

My responsibilities were to:

1. instruct students in the practical application of the Java programming language.
2. administer GitHub classroom to assess student performance.
3. assist students in comprehending object-oriented programming concepts.

The title of my thesis is “Machine Learning and Natural Language Processing Techniques for Question Answering”. Read It Here

Courses I have completed include:

1. Distributed Resource Management (Apache Hadoop, MapReduce)
2. Advanced Algorithms (e.g. hashing algorithms in detail)
3. Advanced Machine Learning ( e.g. Bagging, Boosting etc.)
4. SPSS
5. Semantic Web (e.g. RDF schema, etc)

I pursued my studies at Aristotle University of Thessaloniki, particularly in the School of Informatics, a field I have a profound fondness for.

1. Technical Support
2. Customer Service

• Presentations (e.g. Conference Article )
• Writing (e.g. Journal Articles, Reports )
• Communication (e.g. via Google Hangouts, Skype, f2f)

Several awards:

1. 2/5 test batches (2014)
2. 2/5 test batches (2016)
3. 1/5 test batches (2017)
4. 4/5 test batches (2018) 
5. 3/5 test batches (2019)

Deep learning has developed into a mature technology and it is nowadays an essential part in systems that may include timing and cyber-physical components, such as self-driving cars, autonomous control systems in medical applications and so on. We call these systems learning-enabled autonomous systems and we focus on key challenges in their design and development, which lie in the intersection of the two H2020 research projects that jointly organize this one-week summer school with prominent invited speakers and hands-on sessions on related tools and state-of-the-art industrial technologies.

I was in the organization team of DS2020 Conference. My responsibilities were:

1. To set up a new account on slack and add channels related to the sessions of the conference. I also had to configure the permissions and invite the attendees. I was there to solve any issues with the participants and provide guidelines about the conference.
2. To assist participants in gather town, helping them find the rooms by giving directions and answering their questions.
3. To oversee discussions on the zoom platform. I welcomed the speakers and was also available to resolve any technical issues.