World's Best Scientists 2026 revealed!
Giancarlo Fortino

Giancarlo Fortino

Award Badge
Computer Science
Italy
2026

D-Index & Metrics

Computer Science

D-Index
84
Citations
27343
World Ranking
856
National Ranking
6

Research.com Recognitions

  • 2026 - Research.com Computer Science in Italy Leader Award
  • 2025 - Research.com Computer Science in Italy Leader Award
  • 2023 - Research.com Computer Science in Italy Leader Award
  • 2022 - Research.com Computer Science in Italy Leader Award

Overview

Giancarlo Fortino is affiliated with the University of Calabria in Italy and has contributed extensively to the fields of computer science and engineering. Their research work spans various subfields, with a particular focus on computer networks and communications, artificial intelligence, computer vision and pattern recognition, information systems, and electrical and electronic engineering.

The main topics addressed in Fortino's research include Internet of Things (IoT) and edge/fog computing, blockchain technology applications and security, context-aware activity recognition systems, privacy-preserving technologies in data, mobile crowdsensing and crowdsourcing, anomaly detection techniques and applications, and traffic prediction and management techniques.

Fortino has published numerous papers in several prominent venues, including:

  • "Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges" (2021, Information Fusion)
  • "A survey on deep learning in medicine: Why, how and when?" (2020, Information Fusion)
  • "Task Offloading and Resource Allocation for Mobile Edge Computing by Deep Reinforcement Learning Based on SARSA" (2020, IEEE Access)
  • "Model aggregation techniques in federated learning: A comprehensive survey" (2023, Future Generation Computer Systems)
  • "Internet of Things as System of Systems: A Review of Methodologies, Frameworks, Platforms, and Tools" (2020, IEEE Transactions on Systems Man and Cybernetics Systems)

The publication venues where Fortino's work frequently appears include:

  • IEEE Transactions on Systems Man and Cybernetics Systems
  • IEEE Transactions on Human-Machine Systems
  • Information Fusion
  • IEEE Internet of Things Journal
  • IEEE Transactions on Cybernetics

Fortino has collaborated frequently with several researchers including Enrique Herrera-Viedma, Róbert Kozma, Karen Panetta, Mariagrazia Dotoli, and Tiago H. Falk.

In addition to papers, Fortino has published books with Springer Science+Business Media and Springer International Publishing. Titles include:

  • Interoperability of Heterogeneous IoT Platforms (2021)
  • New Frontiers in Cloud Computing and Internet of Things (2022)
  • Data Science and Internet of Things (2021)
  • Proceedings of Fourth Doctoral Symposium on Computational Intelligence (2023)

Best Publications

  • Multi-sensor fusion in body sensor networks: State-of-the-art and research challenges

    Raffaele Gravina;Parastoo Alinia;Hassan Ghasemzadeh;Giancarlo Fortino

  • Evaluating Critical Security Issues of the IoT World: Present and Future Challenges

    Mario Frustaci;Pasquale Pace;Gianluca Aloi;Giancarlo Fortino

  • Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges

    Sen Qiu;Hongkai Zhao;Nan Jiang;Zhelong Wang

  • Enabling Effective Programming and Flexible Management of Efficient Body Sensor Network Applications

    G. Fortino;R. Giannantonio;R. Gravina;P. Kuryloski

  • A Hybrid Feature Extraction Method With Regularized Extreme Learning Machine for Brain Tumor Classification

    Abdu Gumaei;Mohammad Mehedi Hassan;Rafiul Hassan;Abdulhameed Alelaiwi

  • An Edge-Based Architecture to Support Efficient Applications for Healthcare Industry 4.0

    Pasquale Pace;Gianluca Aloi;Raffaele Gravina;Giuseppe Caliciuri

  • Security and trust issues in Fog computing: A survey

    PeiYun Zhang;MengChu Zhou;MengChu Zhou;Giancarlo Fortino

  • A hybrid deep learning model for efficient intrusion detection in big data environment

    Mohammad Mehedi Hassan;Abdu Gumaei;Ahmed Alsanad;Majed A. AlRubaian

  • Enabling IoT interoperability through opportunistic smartphone-based mobile gateways

    G. Aloi;G. Caliciuri;G. Fortino;R. Gravina

  • Model aggregation techniques in federated learning: A comprehensive survey

    Unknown

  • Wireless MEMS-Based Accelerometer Sensor Boards for Structural Vibration Monitoring: A Review

    Alessandro Sabato;Christopher Niezrecki;Giancarlo Fortino

  • A survey on deep learning in medicine: Why, how and when?

    Francesco Piccialli;Vittorio Di Somma;Fabio Giampaolo;Salvatore Cuomo

  • A framework for collaborative computing and multi-sensor data fusion in body sensor networks

    Giancarlo Fortino;Stefano Galzarano;Raffaele Gravina;Wenfeng Li

  • BodyCloud: A SaaS approach for community Body Sensor Networks

    Giancarlo Fortino;Daniele Parisi;Vincenzo Pirrone;Giuseppe Di Fatta

  • Task Offloading and Resource Allocation for Mobile Edge Computing by Deep Reinforcement Learning Based on SARSA

    Taha Alfakih;Mohammad Mehedi Hassan;Abdu Gumaei;Claudio Savaglio

  • Human emotion recognition using deep belief network architecture

    Mohammad Mehedi Hassan;Md. Golam Rabiul Alam;Md. Zia Uddin;Shamsul Huda

  • Internet of Things Based on Smart Objects: Technology, Middleware and Applications

    Giancarlo Fortino;Paolo Trunfio

  • An Experimental-Based Review of Image Enhancement and Image Restoration Methods for Underwater Imaging

    Yan Wang;Wei Song;Giancarlo Fortino;Li-Zhe Qi

  • Enhanced Fingerprinting and Trajectory Prediction for IoT Localization in Smart Buildings

    Kai Lin;Min Chen;Jing Deng;Mohammad Mehedi Hassan

  • Agent-Oriented Cooperative Smart Objects: From IoT System Design to Implementation

    Giancarlo Fortino;Wilma Russo;Claudio Savaglio;Weiming Shen

  • Internet of Things as System of Systems: A Review of Methodologies, Frameworks, Platforms, and Tools

    Giancarlo Fortino;Claudio Savaglio;Giandomenico Spezzano;MengChu Zhou

  • Cognitive Internet of Vehicles

    Min Chen;Yuanwen Tian;Giancarlo Fortino;Jing Zhang

Frequent Co-Authors

Raffaele Gravina
Raffaele Gravina University of Calabria
Mohammad Mehedi Hassan
Mohammad Mehedi Hassan King Saud University
Antonio Liotta
Antonio Liotta Free University of Bozen-Bolzano
Min Chen
Min Chen South China University of Technology
MengChu Zhou
MengChu Zhou New Jersey Institute of Technology
Marcello La Rosa
Marcello La Rosa University of Melbourne
Atif Alamri
Atif Alamri King Saud University
Mirko Viroli
Mirko Viroli University of Bologna
Arthur H. M. ter Hofstede
Arthur H. M. ter Hofstede Queensland University of Technology
Roozbeh Jafari
Roozbeh Jafari Texas A&M University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science in the USA opens the door to a wide range of online degree options and career trajectories. Whether you're just beginning your academic journey or planning to advance your expertise, online programs provide flexibility and affordability.

Those seeking to save on costs can consider affordable masters degrees in tech fields, which often balance accessibility and strong job prospects. For students looking for a streamlined entry into the workforce, pursuing the quickest associates degree can be an efficient route to job-ready skills.

Aspiring leaders interested in organizational roles might find specialized tracks appealing, such as a doctorate in organizational leadership online, enabling tech professionals to move into executive or management positions. Additionally, educators in computing may opt for the cheapest online edd programs no gre, which offer advanced credentials without stringent admission exams.

No matter your background or goal, the breadth of online degrees ensures there’s a pathway that aligns with your ambitions and lifestyle.

Best Scientists Citing Giancarlo Fortino

Trending Scientists