Ioannis Chatzigiannakis


Titolo Pubblicato in Anno
Using IoT-based big data generated inside school buildings Big Data-Enabled Internet of Things 2020
Fog-computing-based heartbeat detection and arrhythmia classification using machine learning ALGORITHMS 2019
Utility of big data in predicting short-term blood glucose levels in type 1 diabetes mellitus through machine learning techniques SENSORS 2019
On the possibility of predicting glycaemia ‘on the fly’ with constrained IoT devices in type 1 diabetes mellitus patients SENSORS 2019
Utilising fog computing for developing a person-centric heart monitoring system JOURNAL OF AMBIENT INTELLIGENCE AND SMART ENVIRONMENTS 2019
On the design of a fog computing-based, driving behaviour monitoring framework 2019 IEEE 24th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD) 2019
Sparks-Edge: Analytics for intelligent city water metering AmI 2019 Poster and Workshop Sessions of AmI-2019 2019
Evaluating a design-based learning approach using IoT technologies for STEM education AmI 2019 Poster and Workshop Sessions of AmI-2019 2019
Preface 46th International Colloquium on Automata, Languages, and Programming, ICALP 2019 2019
Exploiting Gamification to Improve Eco-driving Behaviour: The GamECAR Approach ELECTRONIC NOTES IN THEORETICAL COMPUTER SCIENCE 2019
IoT sensors in sea water environment: Ahoy! Experiences from a short summer trial ELECTRONIC NOTES IN THEORETICAL COMPUTER SCIENCE 2019
Data-driven intrusion detection for ambient intelligence Ambient Intelligence 2019
Enhancing an eco-driving gamification platform through wearable and vehicle sensor data integration Ambient Intelligence 2019
Preface Ambient Intelligence. 15th European Conference, AmI 2019, Rome, Italy, November 13–15, 2019, Proceedings 2019
Citizens Vote to Act: smart contracts for the management of water resources in smart cities 2019 First International Conference on Societal Automation (SA) 2019
A case of genetic algorithms supporting the design of collaboratively shaped, genetically evolving, products 2019 1st International Conference on Societal Automation, SA 2019 2019
Enhanced buying experiences in smart cities: The SMARTBUY approach Ambient Intelligence 2019
Observation and analysis of environmental factors of surface waters: An internet of things educational approach 2019 1st International Conference on Societal Automation, SA 2019 2019
Enabling stream processing for people-centric IoT based on the fog computing paradigm 2017 22nd IEEE international conference on emerging technologies and factory automation (ETFA 2017) Limassol, Cyprus 12 - 15 September 2017 2018


  • PE6_2
  • PE6_6


  • Big data & computing
  • Sustainable technologies & development

Interessi di ricerca

  • Distributed Signal Processing and Machine Learning for Heterogeneous Edge Computing - Today, more than ever, we are able to deploy a large number of IoT devices with diverse computational and communication capabilities that are capable of carrying out a large number of heterogenious task related to the processing and analysis of data while at the same time maintaining a lower-power consumption profile. The aforementioned device and task heterogeneity usually leads to major differences in computation and communication latency of serving IoT tasks with unpredictable dynamics due to human-in-the-loop. These constraints introduce critical challenges in network design and management for IoT.
  • Smart and Circular Cities - Rapid developments in data, computing, and communications technologies combined with innovations in materials, energy, and transportation networks are used to enable smarter data-driven urban applications, enabling Smart Cities to emerge across the world. In this setting, data innovation and mobile and pervasive computing can serve those who live, work, and visit these metropolitan areas. These technologies are central in generating civic innovation, where the best ideas are developed, amplified, and scaled. Moreover, the emergence of Smart Cities brings new challenges regarding adoption and sustainability.
  • Recent Advances Technologies for Intelligent Sensing in Augmented Reality Environments - As global telecommunication market shift towards the 5G era, it becomes obvious that it is now realistic to expect the delivery of new application experiences that utilize augmented reality (AR) technologies and provide end users with real time as well as real world information from the sensor data collected.
  • Gamification, Playfulness, and Ludicity in Intelligent Environments - New types of interactions are emerging that combine methods and techniques for developing playful elements with the potential of the Internet-of-Things (IoT) paradigm to directly link actions, decisions and events happening in real-life with in-game educational progress and modern gaming technologies.


Internet of things (IoT)
Edge computing
Distributed algorithms
pervasive computing
Algorithm engineering

Gruppi di ricerca

Gruppi di ricerca - Responsabile

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