PhD · Artificial Intelligence
Chrysostomos
Symvoulidis
AI Researcher and Technical Manager with experience in designing and developing AI-driven solutions in healthcare, smart cities, and distributed systems. Worked on research and innovation projects involving Cloud and Edge Computing, Health Information Exchange, AI medical imaging, Federated Learning, and intelligent digital platforms. Experienced in technical leadership, system architecture, product management, and AI services, including LLM applications and chatbots. Actively involved in European and national R&D projects, proposal writing, and technical coordination, focused on translating research into high-impact solutions.
Causal Discovery
Causal Inference
Cloud Computing
Deep Learning
Edge Computing
Machine Learning
31+
Publications
8
R&D Projects
2
Best Paper Awards
9+
Years Experience
Scroll
01
Education
Degrees
2024
PhD in Artificial Intelligence
Dept. of Digital Systems, University of Piraeus
Advisor: Prof. Dimosthenis Kyriazis
Advisor: Prof. Dimosthenis Kyriazis
2018
MSc in Big Data and Analytics
Dept. of Digital Systems, University of Piraeus
2016
BSc in Computer Science
Dept. of Digital Systems, University of Piraeus
Thesis
Design of causal and contextual information extraction and data enrichment methods, with emphasis on artificial intelligence-driven optimization algorithms for cloud and edge computing.
Causal Discovery
Cloud Computing
Edge Computing
Deep Learning
Optimization
02
Work experience
2024.10 – today
Researcher | Technical Manager
Gruppo Maggioli SpA · Athens, Greece
2022.08 – today
Researcher | Technical Manager
Telesto Technologies Ltd. · Athens, Greece
2022.05 – 2024.10
Researcher | Technical Coordinator
Thridium Ltd. · London, UK
2019.06 – 2022.11
Research Associate
BYTE Computer S.A. · Athens, Greece
2019.01 – 2021.12
Research Associate
SingularLogic S.A. · Athens, Greece
2017.06 – 2020.10
Research Associate
University of Piraeus · Piraeus, Greece
03
Research projects
Active
EMBRACE
Pan-European Management of Biological toxin incidents through standardisation initiatives for Crisis response Enhancement
2024.10 – today · Telesto Technologies Ltd.
Active
SEARCH
Synthetic Healthcare Data Governance Hub
2024.10 – today · Gruppo Maggioli SpA
Completed
ONELAB
Orchestrating next-generation mobile modular laboratories for pandemic monitoring preparedness
2022.10 – 2025.12 · Telesto Technologies Ltd.
Completed
INCISIVE
Multimodal AI-based toolbox and interoperable health imaging repository for cancer diagnosis, prediction and follow-up
2020.10 – 2024.04 · Thridium Ltd.
Completed
InteropEHRate
Interoperable Electronic Health Records at user edge
2019.01 – 2022.09 · BYTE Computer S.A.
Completed
BigDataStack
High-performance data-centric stack for big data applications and operations
2018.01 – 2020.12 · SingularLogic S.A.
Completed
LeADS
Legality attentive data scientists
2022.04 – 2022.06 · BYTE Computer S.A.
Completed
MATILDA
Holistic framework for 5G-ready applications and network services over sliced programmable infrastructure
2017.06 – 2020.07 · University of Piraeus Research Centre
04
Publications
A three-tier AI-based approach for dynamic application placement in cloud–edge environments
Future Generation Computer Systems, Elsevier [Link]
Evaluation of the INCISIVE services in cancer imaging: a feasibility study
Seminars in Oncology Nursing, Elsevier [Link]
A user mobility-based data placement strategy in a hybrid cloud/edge environment using a causal-aware deep learning network
IEEE Transactions on Computers, IEEE [Link]
Multilingual text categorization and sentiment analysis: a comparative analysis of multilingual approaches for classifying twitter data
Neural Computing and Applications, Springer [Link]
Batch and streaming data ingestion towards creating holistic health records
Emerging Science Journal, Ital Publication [Link]
Identity management standards: a literature review
Computer and Informatics, DergiPark [Link]
The holistic perspective of the INCISIVE project — artificial intelligence in screening mammography
Applied Sciences, MDPI [Link]
HealthFetch: an influence-based, context-aware prefetch scheme in citizen-centered health storage clouds
Future Internet, MDPI [Link]
Architectures and platforms for trustworthy AI: cloud technologies and federated approaches
Trustworthy AI in Cancer Imaging Research (pp. 169–194), Springer [Link]
Enhancing international security: a secure biometric data sharing framework for cross-border crime and terrorism prevention
IEEE BigData 2024 [Link]
A secure and trustworthy biometric data ecosystem for cross-border suspect identification
IEEE BigData 2024 [Link]
Exploring machine learning algorithms for infection detection using GC-IMS data: a preliminary study
EEITE 2024 [Link]
Dynamic resource allocation on the edge: a causal and contextually-aware machine learning approach
IntelliSys 2024 [Link]
Enhancing cloud-based application component placement with AI-driven operations
IEEE CCWC 2024 [Link]
Dynamic deployment prediction and configuration in hybrid cloud/edge computing environments using influence-based learning
IEEE EECSI 2023 [Link]
Polymorphic cloud application design assisted by open source software classification
CECCC 2023 [Link]
A practical guide to green computing for manufacturers, businesses, and individuals
FRUCT 2023 [Link]
K-Medoids-Surv: a patients risk stratification algorithm considering censored data
ICAISC 2022 [Link]
Electronic health records at people's hands across Europe: the InteropEHRate protocols
pHealth 2022 [Link]
Mobile anonymization and pseudonymization of structured health data for research
IEEE MobiSecServ 2022 [Link]
Emergency health protocols supporting health data exchange, cloud storage, and indexing
HEALTHINF 2022 [Link]
MICSurv: medical image clustering for survival risk group identification
IEEE BioSMART 2021 [Link]
A health information exchange protocol supporting Bluetooth-based messages
IEEE ICISAT 2021 [Link]
Facilitating health information exchange in medical emergencies
IEEE EHB 2021 [Link]
Healthcare provision in the cloud: an EHR object store-based cloud used for emergency
HEALTHINF 2021 [Link]
Indexing of cloud stored electronic health records for consented third party accessing
FRUCT 2021 [Link]
Learning a generalized matrix from multi-graphs topologies towards microservices recommendations
IntelliSys 2020 [Link]
Modelling 5G cloud-native applications by exploiting the service mesh paradigm
EMCIS 2019 [Link]
Towards the identification of context in 5G infrastructures
SAI Computing Conference 2019 [Link]
An integrated SLA management framework in a 5G environment
IEEE ICIN 2019 [Link]
Capturing the reliability of unknown devices in the IoT world
IEEE IoTSMS 2018 [Link]
05
Teaching
Lecturing
2025 – 2026
Neural Networks & Deep Learning
MSc in Advanced Information Systems & MSc in Big Data and Analytics · University of Piraeus
Teaching assistant
2017 – 2023
DS-501 C Programming (Lab)
Dept. of Digital Systems, University of Piraeus
2019 – 2023
DS-512 Information Systems (Lab)
Dept. of Digital Systems, University of Piraeus
Final year project supervision
2023
D. Kozoni
"Comparative analysis of Explainable Artificial Intelligence (XAI) tools" · Undergraduate, University of Piraeus
06
Awards & services
Awards
2024
🏆 Best paper
14th IEEE Annual Computing and Communication Workshop and Conference (CCWC 2024)
2023
🏆 Best paper
10th IEEE International Conference on Electrical Engineering, Computer Science and Informatics (EECSI 2023)
Reviewer
Computer Communications Journal, Elsevier
Scientific Reports Journal, Springer Nature
Concurrency and Computation: Practice and Experience (CCPE), Wiley
Trustworthy AI in Cancer Imaging Research, Springer Nature
International Conference on Cloud Computing and Services Science (CLOSER), INSTICC
07
Skills & interests
Machine learning
Programming
Web & APIs
Big data
Cloud & DevOps
Databases
Version control & IDEs
Languages
Interests