Panos Theocharopoulos

Bio

Data Scientist and AI researcher specializing in Computational Intelligence methods. As a Ph.D. candidate in Computer Science and Biomedical Informatics at the University of Thessaly, I blend academic expertise with practical applications. My background includes a Master's in Informatics and Computational Biomedicine and experience as an Academic Fellow teaching undergraduate and postgraduate courses. I've contributed to EU-funded research projects and serve as a scientific advisor to the Department of Physiology at the University of Thessaly's Medical School. My research interests span statistical machine learning, deep learning, big data analysis, natural language processing, and large language models. Passionate about leveraging AI to solve complex challenges across various domains, I'm always eager to collaborate on innovative projects that push the boundaries of technology.

Experience

• Development of Data-Driven AI innovation by exploiting computational methods
• Explanatory Data Analysis (EDA)
• ETL (Extract, Transform, Load)
• Data Wrangling, Cleaning, Mining
• Machine Learning, Deep Learning (Classification, Regression, Clustering)
• Natural Language Processing (NLP)

Project: "Bridging large omics, genetic, and medical data for the wide application of Precision Medicine in Greece"
Institutions: University of Thessaly, B.S.R.C. Fleming, University of Patras, Hellenic Pasteur Institute
Funding Source: National Recovery and Resilience Plan (Greece 2.0), Recovery and Resilience Fund
Agency: European Union – NextGenerationEU

Responsibilities: Contribution to the development and integration of machine learning methods in the intelligent electronic health record system. Linking big omics data to the intelligent electronic health record. Contribute to the development of an intelligent new patient registry mechanism.

• Laboratory Lecturer for courses "Programming I" and "Programming II & Numerical Analysis"

Department of Mathematics website

• Development and design
• Website management
• Database and Server management
• Technical Support

Department of Mathematics - Courses "Programming I" & "Programming II"

• SAP System Management
• Promotion of various technology products (games, TV, cables, smartphones, PC, printers,etc)
• Technological support (for new technologies and products)
• Customer service
• Product promotion
• Product sales

• Manage Servers (Windows, AIX)
• Network support for networks WAN και LAN (up to 2000 users)
• Database Management MySQL, scripts
• Management of Naval Telemedicine System
• Configuring layer 2 and 3 devices CISCO/HP/Mikrotik (VLAN Configuration / Troubleshooting,Advanced Routing)
• Software Applications (Development and maintenance of local web applications)
• Implement security policies and monitor access to networking systems (ACL, Firewall, NAT, VPN)

Education

• Thesis: "Development of Deep Learning methods on Big Data with emphasis on Natural Language Processing"

• Minor: Computational Medicine and Biology
• Thesis: "The EU’s General Data Protection Regulation and the DPO in Biomedical Research"

Skills

Publications

1. P. C. Theocharopoulos, S. Bersimis, S. V. Georgakopoulos, A. Karaminas, S. K. Tasoulis, and V. P. Plagianakos, “Developing predictive precision medicine models by exploiting real-world data using machine learning methods,” Journal of Applied Statistics, 2024, doi: 10.1080/02664763.2024.2315451.
2. P. C. Theocharopoulos, A. Tsoukala, S. V. Georgakopoulos, S. K. Tasoulis, and V. P. Plagianakos, ‘Analysing sentiment change detection of Covid-19 tweets’, Neural Computing and Applications, pp. 1–11, 2023.

1. P. C. Theocharopoulos, S. V. Georgakopoulos, S. K. Tasoulis, and V. P. Plagianakos, ‘Who Writes the Review, Human or AI?’, in IEEE 22nd International Conference on Cognitive Informatics and Cognitive Computing (ICCI-CC’23), Stanford, CA, USA, 2023.
2. P. C. Theocharopoulos, P. Anagnostou, A. Tsoukala, S. V. Georgakopoulos, S. K. Tasoulis, and V. P. Plagianakos, ‘Detection of Fake Generated Scientific Abstracts’, in 2023 IEEE Ninth International Conference on Big Data Computing Service and Applications (BigDataService), Athens, Greece, 2023.
3. P. C. Theocharopoulos, A. Tsoukala, S. V. Georgakopoulos, S. K. Tasoulis, and V. P. Plagianakos, ‘Text analysis of COVID-19 tweets’, in International Conference on Engineering Applications of Neural Networks, Springer, 2022, pp. 517–528.