Biography
Stamatios Orfanos is a PhD candidate in the Department of Digital Systems at the University of Piraeus, focusing on Vision and Language Models for Image Classification, Segmentation, and Analysis. He received his Bachelor's degree in Computer and Telecommunications Technologies from the same department in 2021, and in 2024 completed a Master’s degree in Artificial Intelligence in collaboration with NCSR “Demokritos”. His professional journey began at Logicea, where he progressed from intern to software engineer, developing scalable backend applications using Java and GraphQL. During his military service in the Hellenic Air Force, he served as an Information Technology Specialist and Personnel Manager, ensuring the operational integrity of the base’s IT systems.
At Bioassist, as an AI Architect & Engineer, he led the integration of deep learning models with wearable sensor data and cloud infrastructure, delivering end-to-end pipelines and MLOps solutions tailored for embedded and cloud environments. His work consistently bridges academic research with real-world healthcare applications, with a growing focus on multimodal data and the use of wearable AI.
Recent publications
5 publications in the lab library
Fatigue and Burnout Management in Nursing Staff Using Wearable Data
In 2026 IEEE 39th International Symposium on Computer-Based Medical Systems (CBMS). IEEE, pp. 348–353.
Multimodal Affective Modeling in an LLM-based Intelligent Tutoring System for Foreign Language Learning
In Proceedings of Computational Affective Science (CAS) @ LREC 2026. European Language Resources Association (ELRA), pp. 190–200.
A Multimodal Course Digital Twin for Adaptive Academic Planning: Integrating Physiological Stress, Self-Reports, and Academic Context
Computers, 15(6), p. 338.
A Lightweight Machine Learning Framework for Post-Stroke Gait Abnormality Classification Using Wearable Gyroscope Features
Sensors, 26(10), p. 3143.
Design and Implementation of a Platform for Managing Stress and Anxiety in Higher Education Based on Wearable Devices *
In 2025 20th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP). IEEE, pp. 55–58.