Ph.D. · Chief Technology Officer (CTO) · Post-Doctoral Researcher in AI · Lecturer
Pantelis Tzamalis received his Ph.D. in Computer Science from the Computer Engineering and Informatics Department of the University of Patras (2022), with a thesis on "Allergic Rhinitis Passive Detection, Assessment, and Monitoring using Artificial Intelligence of Things (AIoT) and Crowdsensing". His doctoral work produced an innovative set of mechanisms and platforms integrating Human Activity & Gesture Recognition, Trustworthy AI, Explainable AI, Crowdsensing, and Text Mining for passive, automated health monitoring at spatiotemporal and individual scale.
He also holds an M.Sc. in the Division of Application and Foundation of Computer Science and Technology (2018) and a Diploma (B.Sc.) in Computer Science (2014), both from the University of Patras.
Currently, he serves as a Post-Doctoral Researcher and AIoT Group Leader at the Internet of Things Laboratory (IoT-Lab) of the University of Patras, the Chief Technology Officer (CTO) of Iassis Medical Group, and a Guest Lecturer at the Department of Computer Science, Neapolis University, Paphos, Cyprus. He is also a Senior Researcher and Engineering Manager at the Computer Technology Institute and Press “Diophantus”.
Throughout his career, he has served as a technical manager, tech lead, research engineer, and AI architect across multiple EU-funded (Horizon Europe SynAirG, H2020 SAINT, H2020 Privacy Flag) and industry-funded projects, including direct contracts with Pfizer CDI for Voice-Based Diagnostics and EyeAI. He has also contracted with Google LLC (Summer of Code 2019 & 2020) for the development of open-source ML infrastructure with JBoss (Red Hat) and MetaBrainz.
He has authored publications in international conference proceedings and journals (IEEE, Springer Nature), serves as a reviewer for various scientific venues, and has delivered invited and keynote talks including the ITU (United Nations), the EU IDEAL Cluster Annual Meeting (Braga, 2025), University of Patras (2023), and the Panhellenic Congress of Allergology & Clinical Immunology (2022).
Iassis Medical Group · Patras / Athens, GR
University of Patras · Internet of Things Laboratory (IoT-Lab)
Post-doc from 2025; AIoT Group Leader from 2023
Neapolis University · Dept. of Computer Science · Paphos, CY
Pfizer CDI (Direct Contract) · University of Patras
EU Horizon Europe / Health · University of Patras (leading 6 organisations)
Pfizer CDI (Direct Contract) · University of Patras
Google LLC · MetaBrainz (AcousticBrainz)
Google LLC · JBoss Community (Red Hat)
National-funded Project · University of Patras
EU H2020 Project · CTI "Diophantus", Patras, GR
EU H2020 Project · CTI “Diophantus”, Greece
Freelancer · Greece
University of Patras · 2022
AIoT & Crowdsensing for Allergic Rhinitis
University of Patras · 2018
Crowdsensing for Allergen Monitoring
University of Patras · 2014
Social Computing & Networking
A Python library for building cutting-edge, end-to-end AI pipelines — covering Time-Series analysis, Human Activity & Gesture Recognition, and Natural Language Processing. Includes state-of-the-art Neural Network architectures for time-series classification and signal processing.
Release Notes Generation open-source tool built during Google Summer of Code 2019. Dynamically collects and processes data from Jira and Bugzilla issue trackers, generating detailed AsciiDoc reports with release notes — on-demand or event-triggered.
A series of Jupyter Notebook tutorials covering Data Science, Machine Learning, and Deep Learning with Python 3. Topics include data manipulation, statistical inference, visualization, classification, forecasting, and end-to-end AI modelling.
Peer-reviewed contributions in AI, IoT, Digital Health, and Cybersecurity.
Papadopoulos, N. G., Tzamalis, P., Akdis, C. A., Akdis, M., Damialis, A., Esposito, G., Fergadiotou, I., Goroncy, C., et al. (2024). "Addressing adverse synergies between chemical and biological pollutants at schools — The 'SynAir-G' hypothesis." Allergy, 79(2), 294–301.
Kapetanidis, P., Kalioras, F., Tsakonas, C., Tzamalis, P., Kontogiannis, G., Karamanidou, T., Stavropoulos, T. G., & Nikoletseas, S. (2024). "Respiratory Diseases Diagnosis Using Audio Analysis and Artificial Intelligence: A Systematic Review." Sensors, 24(4), 1173.
Read PaperVlachos, V., Stamatiou, Y. C., Tzamalis, P., & Nikoletseas, S. (2022). "The SAINT observatory subsystem: an open-source intelligence tool for uncovering cybersecurity threats." International Journal of Information Security, 21(5), 1091–1106.
Read PaperTzamalis, P., Kontogiannis, G., & Nikoletseas, S. (2024). “Exploring the Impact of Synthetic Data on Human Gesture Recognition Tasks Using GANs.” In 2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT), pp. 384–391. IEEE.
Read PaperTzamalis, P., Nikoletseas, S., & Spirakis, P. G. (2023). “GestureSet: Public Domain Dataset for Human Gesture Recognition using Wrist-worn Devices: A Preliminary Version.” In 2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT), pp. 404–413. IEEE.
Read PaperTzamalis, P., Bardoutsos, A., Markantonatos, D., Raptopoulos, C., Nikoletseas, S., Aggelides, X., & Papadopoulos, N. (2022). “End-to-end Gesture Recognition Framework for the Identification of Allergic Rhinitis Symptoms.” In 2022 18th International Conference on Distributed Computing in Sensor Systems (DCOSS), pp. 25–34. IEEE.
Read PaperTzamalis, P., Bardoutsos, A., Matzarapis, G., Nikoletseas, S., & Spirakis, P. G. (2021). “A Complementary Sensing Platform for a holistic approach to Allergic Rhinitis monitoring.” In 2021 17th International Conference on Distributed Computing in Sensor Systems (DCOSS), pp. 171–180. IEEE.
Read PaperTzamalis, P., Bardoutsos, A., Markantonatos, D., Nikoletseas, S., & Spirakis, P. G. (2021). “A human-centered Web-based tool for the effective real-time motion data collection and annotation from BLE IoT devices.” In 2021 17th International Conference on Distributed Computing in Sensor Systems (DCOSS), pp. 380–389. IEEE.
Read PaperTzamalis, P., Bothos, I., Vlachos, V., Kyriazanos, D. M., Stamatiou, I., Thanos, K. G., Nikoletseas, S., & Thomopoulos, S. C. A. (2021). “Modelling Cyber-Risk in an Economic Perspective.” In 2021 IEEE International Conference on Cyber Security and Resilience (CSR), pp. 372–377. IEEE.
Read PaperTzamalis, P., Bardoutsos, A., Filios, G., Katsidimas, I., Krousarlis, T., & Nikoletseas, S. (2020). “A multidimensional human-centric framework for environmental intelligence: Air pollution and noise in smart cities.” In 2020 16th International Conference on Distributed Computing in Sensor Systems (DCOSS), pp. 155–164. IEEE.
Read PaperTzamalis, P., Aggelides, X., Bardoutsos, A., Nikoletseas, S., Papadopoulos, N., & Raptopoulos, C. (2020). “A Gesture Recognition approach to classifying Allergic Rhinitis gestures using Wrist-worn Devices: a multidisciplinary case study.” In 2020 16th International Conference on Distributed Computing in Sensor Systems (DCOSS), pp. 1–10. IEEE.
Read PaperTzamalis, P., Vikatos, P., & Nikoletseas, S. (2019). “A Hybridization of Mobile Crowdsensing, Twitter Analytics, and Sensor Data for the Holistic Approach of Pollen onsets Detection.” In 2019 15th International Conference on Distributed Computing in Sensor Systems (DCOSS), pp. 188–191. IEEE.
Read PaperTzamalis, P., Vlachos, V., Stamatiou, Y. C., Nikoletseas, S., & Chantzi, K. (2019). “A Social Network Analysis Tool for Uncovering Cybersecurity Threats.” In 6th International Symposium for ICS & SCADA Cyber Security Research, pp. 97–106.
Read PaperTzamalis, P., Kalogiros, L. A., Lagouvardos, K., Nikoletseas, S., & Papadopoulos, N. (2018). “Allergymap: a hybrid mHealth mobile crowdsensing system for allergic diseases epidemiology: a multidisciplinary case study.” In 2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), pp. 597–602. IEEE.
Read PaperI took on the role of Chief Technology Officer at Iassis Medical Group, leading IT services and products at scale across web platforms, DevOps, cloud computing, data engineering, data analysis, and machine learning and AI for customers, clinical staff, and operations.
New direct contract with Pfizer Center for Digital Innovation (Pfizer CDI) through the University of Patras: tech lead and AI architecture for a web-based tool for collection and annotation of eye images related to jaundice, with an on-device AI service for sclera segmentation from smartphone cameras. Further project details remain confidential per client requirements.
I serve as Task Leader for AI modelling in the Horizon Europe project SynAir-G (“Disrupting Noxious Synergies of Indoor Air Pollutants and their Impact in Childhood Health and Wellbeing, using Advanced Intelligent Multisensing and Green Interventions”), coordinating partners on data, modelling, explainable AI, and causation-oriented analysis for indoor air and health.
New collaboration of our team and IoT Lab with Pfizer Center for Digital Innovation on the "Voice-Based Diagnostics using smartphone devices and AI" research project.
Presented at the International Telecommunication Union (ITU) webinar series on Digital transformation for cities and communities. The talk, "Exploiting the Power of the Crowd for the efficient monitoring of diseases exacerbation", covered how AI and IoT technologies merged to provide Healthcare 5.0 solutions for disease monitoring.
ITU Digital Transformation Webinar Series — November 2021
Computer Engineering and Informatics Department
University of Patras, Greece
25is Martiou 7, Kato Kastritsi 265 04
tzamalis@ceid.upatras.gr
(+30) 2610 996 964