DataPoll: A Tool Facilitating Big Data Research in Social Sciences
Charalampous, A., Djouvas, C., & Christodoulou, C. (2024). DataPoll: A Tool Facilitating Big Data Research in Social Sciences. IEEE Transactions on Computational Social Systems.
CV
Education
- Ph.D Student in Deep Learning and Graph Neural Networks, Cyprus University of Technology 2024
- M.Sc. in Data Science and Engineering, 2023
- B.S. in Communication and Internet Studies, 2021
Work Experience
- Sep 2024 – Present: Machine Learning Researcher
- University of Cyprus, Nicosia, Cyprus (Hybrid)
- Conducting applied machine learning research as part of the ERC-funded DISACT project.
- May 2024 – Present: Machine Learning Researcher
- Cyprus University of Technology, Limassol, Cyprus (On-site)
- May 2022 – Jul 2024: Full Stack Software Engineer
- Factory 39, Limassol, Cyprus
- Led and contributed to the development of Balabook, a full-stack accounting solution built with Ruby on Rails. Oversaw a talented team while actively participating in both back-end and front-end development to deliver a seamless, user-friendly experience.
- Skills: Java, Ruby, Docker-compose, Docker, Node.js, JavaScript, Ruby on Rails, Spring Boot, React.js, Turbo, Computer Science, Hotwire.
- Jan 2023 – May 2023: Machine Learning Researcher
- Cyprus University of Technology, Limassol, Cyprus (Hybrid)
- Developed and deployed a machine learning end-to-end infrastructure for misinformation detection on social media and online video platforms.
- Skills: BERT (Language Model), Large Language Models (LLM), Deep Learning, GPT-4, Machine Learning.
- Jan 2022 – May 2023: Teaching Assistant
- Cyprus University of Technology, Limassol, Cyprus
- Assisted in courses on Web Engineering and Distributed Systems.
- Skills: Big Data, Logistic Regression, Amazon Web Services (AWS), Coding Standards, Linear Regression, Computer Science.
- Mar 2022 – May 2022: Research Data Engineer
- Cyprus University of Technology, Limassol, Cyprus
- Responsible for data mining and development of a data warehouse for research data processing. Worked with tools such as ELK, Hadoop, MapReduce, Apache Spark, and Apache Storm. Developed micro-services to allow pipelines to operate individually and ingest data into different distributed systems and components.
- Skills: Big Data, Logistic Regression, Feature Engineering, Amazon Web Services (AWS), Coding Standards, Linear Regression, Computer Science.
- Aug 2021 – Mar 2022: Research Associate
- Cyprus University of Technology, Limassol, Cyprus
- Participated in the H2020 - DEMOTEC PROJECT. Responsible for creating platforms for custom labeling jobs to create high-quality machine learning datasets. Developed, trained, and deployed an end-to-end multiclass classification pipeline that operates on two levels of classification.
- Technologies: AWS (SageMaker, Lambda, Gateway), TensorFlow, PyTorch, ScikitLearn.
- Skills: Big Data, Logistic Regression, Feature Engineering, Amazon Web Services (AWS), Coding Standards, Linear Regression, Computer Science.
- Aug 2020 – Aug 2021: Full Stack Engineer
- Factory 39, Limassol, Cyprus
- Responsible for the quality and coding of software components of various applications, e.g., a full from-scratch accounting solution for Cyprus.
- Technologies: Ruby on Rails, Docker, CI/CD, Kubernetes, Git/GitLab, HTML, Sass, JavaScript, Java, Spring, React.
- Skills: Big Data, Logistic Regression, Amazon Web Services (AWS), Coding Standards, Computer Science.
- May 2020 – Aug 2020: Full Stack Engineer (Intern)
- Factory 39, Limassol, Cyprus
- Responsible for the quality and coding of software components that make up complex systems.
- Technologies: Ruby on Rails, Docker, CI/CD, Kubernetes, Git/GitLab, HTML, Sass, JavaScript.
- Skills: Logistic Regression, Coding Standards, Computer Science.
- May 2020 – Apr 2021: Research Associate
- Cyprus University of Technology, Limassol, Cyprus
- Conducted research in big data and algorithms for gaining new insights into sociocultural phenomena. Developed software and tools to enhance research in areas such as machine learning, political sciences, and social sciences to understand social phenomena.
- Skills: Big Data, Logistic Regression, Amazon Web Services (AWS), Coding Standards, Linear Regression, Computer Science.
- Jul 2015 – Jun 2017: Sergeant
- National Guard of Cyprus, Cyprus
- Served as an armored sergeant in the National Guard of Cyprus.
Skills
- Graph Neural Nets
- Full Stack Software Engineer
- Ruby on Rails
- Django
- React
- Docker
- CI/CD
- Torch
- PyG
- Tensorflow
Publications
Quo Vadis Computer Science? The topics of the influential papers during the period 2014-2021
Tsapatsoulis, N., Partaourides, H., Christodoulou, C., & Djouvas, C. (2022, September). Quo Vadis Computer Science? The topics of the influential papers during the period 2014-2021. In 2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech) (pp. 1-8). IEEE.
Identifying Misinformation on YouTube through Transcript Contextual Analysis with Transformer Models
Christos Christodoulou, Nikos Salamanos, Pantelitsa Leonidou, Michail Papadakis, Michael Sirivianos. (2023). Identifying Misinformation on YouTube through Transcript Contextual Analysis with Transformer Models.
Automating road junction identification using Crowdsourcing and Machine Learning on GPS transformed data
Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
Talks
Valedictorian Speech - Class of 2021
Talk at Cyprus University of Technology, Limassol, Cyprus
Teaching
Service and leadership
- Currently signed in to 43 different slack teams