Internet of Things Lab (IoT-Lab)
The Internet of Things Laboratory (IoT-Lab) at the Computer Engineering and Informatics Department of the University of Patras aims at the design, analysis and development of efficient sensor algorithms; IoT systems and applications for digital health; smart cities and buildings, industries, transport, crowdsourcing, privacy and cybersecurity. Our vision is pursuing high quality, scientific, multidisciplinary research, which is inspired by practice and applied to the real world. For digital health, we have created allergy maps using crowdsourcing and social network analytics; multi-sensing activity recognition systems for allergic symptoms; as well as a voice based diagnostic system.
Role in the project
UoP will lead WP6 (the “Intelligence Engine”), and will conduct the following two research tasks: the design and development of effective Artificial Intelligence (AI) methodologies for identifying synergistic effects of pollutants, and their health impacts; and, the spatiotemporal modeling of pollution dispersion in classrooms. Also, UoP will contribute to the wearable devices of the sentinel system and the wireless communications of the integrated sensor and mitigation system.
Sotiris Nikoletseas | Professor of Computer Science, Director of oT-Lab
Professor of Computer Science, specializing in algorithms, systems and applications for the Internet of Things (IoT). He is the University of Patras (UoP) site leader in SynAirG, a member of the Steering Committee and the WP6 leader.
Gabriel Filios | Post-doctoral researcher
Leader of the IoT systems R&D team of IoT-Lab of University of Patras, Greece (SynAir-G’s UoP partner). He is responsible for the development of communication solutions for the pollutants sensing systems and the mitigation systems (WP5), and the crowdsensing solutions for data aquisition form the wearable devices (WP2).
Pantelis Tzamalis | Post-doctoral researcher
AI Team Leader of the SynAirG’s University of Patras (UoP) partner, specializing in developing Trustworthy and Robust AI solutions. In particular, he is responsible for the development of the intelligent component that will automatically extract information about the synergistic effects between the project’s data resources.
Christoforos Raptopoulos | Assistant Professor at the Department of Mathematics
Dr Christoforos Raptopoulos holds a PhD in Theoretical Computer Science. His research is concerned with various aspects of randomness in computation, including random graphs, randomized algorithms and average case analysis. Within the project he will consider how mathematical statistics may be employed to reveal synergies between pollutants.
Dimitris Markantonatos | PhD researcher
AI Research Engineer of the SynAirG’s University of Patras (UoP) partner, specializing in developing robust ML/data pipelines with a particular interest in the optimization of AI solutions. He is responsible for the development of the pipelines and the algorithms comprising the intelligence component that will extract the synergistic effects among the project’s multivariate data resources.
Fotis Kalioras | Research Engineer
Member of the IoT-Lab of the Computer Engineering and Informatics Department at the University of Patras. He assists with the development of communication solutions for the pollutants sensing and mitigation systems as well as the selection of wearable devices and the development of the platform for reliable data acquisition from these.
Panos Kapetanidis | Research Engineer
Panos Kapetanidis is a member of the IoT Lab of the Department of Computer Engineering and Informatics at the University of Patras. His research interests focus on the field of Artificial Intelligence (AI) and he will work in SynAirG for the development of the intelligent component that will automatically extract information about the synergistic effects between the project’s data resources.