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Stefano Chessa

Stefano Chessa

D-Index & Metrics

Computer Science

D-Index
33
Citations
6863
World Ranking
12452
National Ranking
432

Overview

Stefano Chessa is affiliated with the University of Pisa in Italy and specializes in research within the field of Computer Science. Their work encompasses various subfields including Computer Networks and Communications, Plant Science, Computer Science Applications, Electrical and Electronic Engineering, and Water Science and Technology.

The primary topics of Stefano Chessa's research include Mobile Crowdsensing and Crowdsourcing, Water Quality Monitoring Technologies, Human Mobility and Location-Based Analysis, Smart Agriculture and AI, IoT and Edge/Fog Computing, Water Quality Monitoring and Analysis, and Energy Harvesting in Wireless Networks.

Stefano Chessa has published extensively in several academic venues. The most frequent publication venues for their work are:

  • Sensors
  • arXiv (Cornell University)
  • IEEE Internet of Things Journal
  • Computers and Electronics in Agriculture
  • Journal of Ambient Intelligence and Smart Environments

Key recent papers by Stefano Chessa cover topics related to precision agriculture, environmental monitoring, and intelligent systems within the IoT domain. These include:

  • Collection of Data With Drones in Precision Agriculture: Analytical Model and LoRa Case Study (2021, IEEE Internet of Things Journal)
  • Dynamic Bayesian network for crop growth prediction in greenhouses (2020, Computers and Electronics in Agriculture)
  • IoT based dynamic Bayesian prediction of crop evapotranspiration in soilless cultivations (2023, Computers and Electronics in Agriculture)
  • Estimating the Environmental Impact of Green IoT Deployments (2023, Sensors)
  • Bayesian Sigmoid-Type Time Series Forecasting with Missing Data for Greenhouse Crops (2020, Sensors)

The scientist frequently collaborates with various coauthors. The most notable frequent coauthors include:

  • Alexander Kocian
  • Luca Incrocci
  • Alessio Micheli
  • Michele Girolami
  • Giuseppe Amato

Stefano Chessa's research contributions largely focus on integrating advanced computational approaches with agricultural and environmental applications. The integration of smart sensing technologies, IoT, and predictive models reflect their interdisciplinary approach towards addressing challenges in crop monitoring, water quality, and resource-efficient network design.

Best Publications

  • Wireless sensor networks: A survey on the state of the art and the 802.15.4 and ZigBee standards

    Paolo Baronti;Prashant Pillai;Vince W. C. Chook;Stefano Chessa

  • GPS free coordinate assignment and routing in wireless sensor networks

    A. Caruso;S. Chessa;S. De;A. Urpi

  • Comparison-based system-level fault diagnosis in ad hoc networks

    S. Chessa;P. Santi

  • Crash faults identification in wireless sensor networks

    Stefano Chessa;Paolo Santi

  • A Novel Approach to Indoor RSSI Localization by Automatic Calibration of the Wireless Propagation Model

    Paolo Barsocchi;Stefano Lenzi;Stefano Chessa;Gaetano Giunta

  • Internet of Things for enabling smart environments: A technology-centric perspective

    Carles Gomez;Stefano Chessa;Anthony Fleury;George Roussos

  • A stigmergic approach to indoor localization using Bluetooth Low Energy beacons

    Filippo Palumbo;Paolo Barsocchi;Stefano Chessa;Juan Carlos Augusto

  • An experimental characterization of reservoir computing in ambient assisted living applications

    Davide Bacciu;Paolo Barsocchi;Stefano Chessa;Claudio Gallicchio

  • Collection of Data With Drones in Precision Agriculture: Analytical Model and LoRa Case Study

    Antonio Caruso;Stefano Chessa;Soledad Escolar;Jesus Barba

  • Estimating Energy Savings in Smart Street Lighting by Using an Adaptive Control System

    Soledad Escolar;Jesús Carretero;Maria-Cristina V. Marinescu;Stefano Chessa

  • Virtual Calibration for RSSI-Based Indoor Localization with IEEE 802.15.4

    P. Barsocchi;S. Lenzi;S. Chessa;G. Giunta

  • IoT European Large-Scale Pilots – Integration, Experimentation and Testing

    Ovidiu Vermesan;Arne Bröring;Elias Z. Tragos;Martin Serrano

  • Bounds on hop distance in greedy routing approach in wireless ad hoc networks

    Swades De;Antonio Caruso;Tamalika Chaira;Stefano Chessa

  • Human-Enabled Edge Computing: Exploiting the Crowd as a Dynamic Extension of Mobile Edge Computing

    Paolo Bellavista;Stefano Chessa;Luca Foschini;Leo Gioia

  • Evaluating Ambient Assisted Living Solutions: The Localization Competition

    Paolo Barsocchi;Stefano Chessa;Francesco Furfari;Francesco Potorti

  • Indoor Bluetooth Low Energy Dataset for Localization, Tracking, Occupancy, and Social Interaction.

    Paolo Baronti;Paolo Barsocchi;Stefano Chessa;Fabio Mavilia

  • Q-NiGHT: Adding QoS to Data Centric Storage in Non-Uniform Sensor Networks

    M. Albano;S. Chessa;F. Nidito;S. Pelagatti

  • Dependable and secure data storage and retrieval in mobile, wireless networks

    S. Chessa;P. Maestrini

  • Sensor data fusion for activity monitoring in the PERSONA ambient assisted living project

    Michele Amoretti;Sergio Copelli;Folker Wientapper;Francesco Furfari

  • Evaluation of localization and activity recognition systems for ambient assisted living: The experience of the 2012 EvAAL competition

    Juan Antonio Álvarez-García;Paolo Barsocchi;Stefano Chessa;Dario Salvi

  • A Dynamic Programming Algorithm for High-Level Task Scheduling in Energy Harvesting IoT

    Antonio Caruso;Stefano Chessa;Soledad Escolar;Xavier del Toro

Frequent Co-Authors

Alessio Micheli
Alessio Micheli University of Pisa
Luca Foschini
Luca Foschini University of Bologna
Antonio Corradi
Antonio Corradi University of Bologna
Alessandro Saffiotti
Alessandro Saffiotti Örebro University
Paolo Bellavista
Paolo Bellavista University of Bologna
Liam Maguire
Liam Maguire University of Ulster
Hermann Hellwagner
Hermann Hellwagner University of Klagenfurt
Arun K. Somani
Arun K. Somani Iowa State University
TM McGinnity
TM McGinnity University of Ulster

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