CV

Basics

Name Georgios (George) Kontogiannis
Professional Title PhD Candidate
Email g [dot] kontogiannis [at] ac [dot] upatras [dot] gr

I develop machine learning algorithms for respiratory health diagnostics, with a focus on audio modeling, edge deployment, and robustness across data modalities.

Experience

  • 2026 - present

    Patras, Greece

    ML Researcher
    CTI Diophantus — EN (POLLA) PLO
    • Research contract developing ML/DL systems to optimize Greece’s nationwide school textbook distribution ecosystem under the new multiple-textbook policy.
    • Predictive models for student population, textbook demand, and inventory forecasting; school clustering by textbook selection patterns; simulation of logistics and what-if supply-chain scenarios; integration of the developed tools into the Publications Directorate IT infrastructure.
    • Scientific Coordinator: Dr. Christos Manolopoulos
  • 2022 - present

    Patras, Greece

    Research Scientist
    EU Horizon SynAir-G (Grant No. 101057271)
    • Disrupting Noxious Synergies of Indoor Air Pollutants and their Impact in Childhood Health and Wellbeing, using Advanced Intelligent Multisensing and Green Interventions (Grant Agreement No. 101057271).
    • Investigation of synergistic interactions between indoor air quality metrics and physiological signals from wearable devices using multivariate and temporal causal models.
    • Scientific Coordinator: Prof. Nikos Papadopoulos
  • 2024 - 2025

    Thessaloniki, Greece

    Research Scientist
    Pfizer CDI — EyeAI Research Project
    • Supervised dataset curation, annotation workflows, and quality control for ocular imaging.
    • Developed an attention-gated UNet++ architecture for automatic sclera segmentation from smartphone-captured eye images.
    • Quantized and deployed the model on-device for real-time smartphone inference (TensorFlow Lite / ONNX).
  • 2023 - 2024

    Thessaloniki, Greece

    Research Scientist
    Pfizer CDI — Voice-Based Diagnostics (VBD-2)
    • Designed and deployed an end-to-end, on-device AI pipeline for continuous, passive respiratory screening with real-time cough detection and disease analysis.
    • Processed 10-second tracheal and chest-wall auscultation recordings from the built-in microphone, with percussive noise removal and frequency-spectrum correction to mitigate domain shift across auscultation sites and microphone devices, for asthma and COPD detection.
    • Developed a ResNet-34 classifier with a probabilistic voting mechanism for robust, explainable disease identification, plus deep generative models for cough and lung-sound synthesis to address training-data scarcity.
  • 2022 - 2023

    Thessaloniki, Greece

    Research Scientist
    Pfizer CDI — Voice-Based Diagnostics (VBD-1)
    • Cough detection algorithms and abnormal/normal lung sound classifiers deployed for real-time smartphone inference using the built-in microphone.
  • 2025 - present

    Rio, Greece

    Research Scientist
    University General Hospital of Patras — Dept. of Internal Medicine
    • Supervised dataset curation, annotation workflows, and quality control for respiratory infection data (audio and imaging).
    • Multimodal deep-learning research combining paired lung sound recordings, chest X-rays, and inflammatory biomarkers to distinguish bacterial vs. viral pneumonia and identify clinically meaningful audio biomarkers.
    • Development of mobile and web-based clinical data acquisition tools for in-hospital deployment.
    • Clinical collaborator: Prof. Dr. Dimitris Velissaris
  • 2024 - present

    Rio, Greece

    Research Scientist (Ocular Biomarkers)
    University General Hospital of Patras — Dept. of Internal Medicine
    • Supervised curation, annotation, and quality control of ocular images for jaundice assessment.
    • Statistical and causal modeling of digital biomarkers and hematological indicators in patients diagnosed with jaundice.
    • Study conducted under institutional ethics committee approval (University General Hospital of Patras IRB).
    • Clinical collaborator: Prof. Dr. Dimitris Velissaris

Interests

Audio AI & Respiratory Sound Analysis: Digital signal processing, audio content analysis, deep learning, cough and lung sound analysis
Deep Generative Modeling: Synthesizing clinically meaningful medical audio, data augmentation and robustness
Robust & Deployment-Aware ML: Domain shift and dataset heterogeneity, edge deployment, trustworthy ML in real-world healthcare systems
Graph-Based Information Retrieval: Graph-based retrieval models enhanced by machine and deep learning

Education

  • 2023 - present

    Rio, Greece

    PhD Candidate
    University of Patras
    Computer Engineering & Informatics
    • Advisor: Prof. Sotiris Nikoletseas
    • Focus: audio AI for respiratory/cough sound analysis, multimodal AI modeling, deep generative modeling for medical audio, robust and patient-centric diagnostic pipelines for edge-deployed clinical applications
  • 2018 - 2023

    Rio, Greece

    MSci (Integrated Master)
    University of Patras
    Computer Engineering & Informatics
    • Advisor: Prof. Christos Makris
    • Thesis: A Study on Improvement of Graph-based Information Retrieval Models through Machine and Deep Learning Techniques
    • Thesis research was extended and published as a peer-reviewed journal article in Expert Systems with Applications (ESWA).

Teaching

  • Guest Lecturer — AI Algorithms and Applications for IoT (Spring 2026). University of Patras, Dept. of Computer Engineering & Informatics; course coordinator Prof. Sotiris Nikoletseas. Designed and delivered a six-lecture applied ML module for IoT time-series data, developing all materials from scratch: LaTeX slide decks, Python demos, and a graded end-to-end project on the PAMAP2 activity recognition dataset.
  • Lab Instructor — Analog Electronics Laboratory (Sep 2021 – Jan 2022). University of Patras; supervisor Dr. Georgios Oikonomou. Guided undergraduates through hands-on analog circuit experiments, theory sessions, and result analysis.
  • Lab Instructor — Digital Electronics Laboratory (Feb – Jun 2022). University of Patras; supervisor Dr. Georgios Oikonomou. Guided undergraduates through hands-on digital circuit experiments, theory sessions, and result analysis.

Talks & Presentations

  • EUSIPCO 2026 — “Metadata-Conditioned Audio Transformers for Adaptive Respiratory Sound Classification.” G. Kontogiannis, P. Tzamalis, S. Nikoletseas.
  • DCOSS-IoT 2024 — “Exploring the Impact of Synthetic Data on Human Gesture Recognition Tasks Using GANs.” G. Kontogiannis, P. Tzamalis, S. Nikoletseas.

Awards

  • 2023
    University of Patras PhD Research Scholarship
    University of Patras

    Competitive scholarship awarded for PhD research in Computer Engineering & Informatics (2023–2025).

Skills

Machine Learning & Deep Learning: PyTorch, TensorFlow, Ajax, Scikit-Learn, Hugging Face Transformers, TensorFlow Lite, ONNX, MLflow, Weights & Biases
Signal Processing & Computer Vision: librosa, OpenCV, NumPy, SciPy, Pandas, Matplotlib, Seaborn
Programming & Scripting: Python, Java, C, C++, MATLAB, Bash
DevOps & Infrastructure: Docker, Docker Compose, Nginx, Systemd, Linux Server Administration
Mobile Development: Flutter, Android SDK
Databases & Storage: MySQL, PostgreSQL, Cassandra, MongoDB, Elasticsearch, MinIO
Development Tools: LaTeX, Git, GitHub, Atlassian Suite

Languages

Greek : Native
English : Proficient (Michigan ECPE)