2023 - Research.com Computer Science in Italy Leader Award
Giancarlo Fortino spends much of his time researching Wireless sensor network, Distributed computing, Cloud computing, Smart objects and Embedded system. His Wireless sensor network study combines topics in areas such as Wireless, Scalability, Sensor node, Key distribution in wireless sensor networks and Node. His Distributed computing research includes elements of Middleware, Systems architecture, Programming paradigm and Robustness.
His research in Cloud computing intersects with topics in Software as a service, Computer network, Mobile device and Online and offline. His biological study spans a wide range of topics, including Smart environment, Event, Software architecture and Service. His Embedded system research incorporates themes from Domain, Software framework, Software and Activity recognition.
His main research concerns Distributed computing, Wireless sensor network, Computer network, Cloud computing and Artificial intelligence. His work in Distributed computing covers topics such as Java which are related to areas like Mobile agent. His study on Wireless sensor network also encompasses disciplines like
His study looks at the relationship between Computer network and fields such as The Internet, as well as how they intersect with chemical problems. His Cloud computing study integrates concerns from other disciplines, such as Enhanced Data Rates for GSM Evolution and Mobile device. Giancarlo Fortino combines subjects such as Middleware and Smart objects with his study of Middleware.
His primary areas of study are Artificial intelligence, Enhanced Data Rates for GSM Evolution, Cloud computing, Data science and Distributed computing. His work carried out in the field of Artificial intelligence brings together such families of science as Machine learning, The Internet and Computer vision. His Cloud computing research is multidisciplinary, incorporating perspectives in Scalability, Multimedia, Scheme, Server and Mobile device.
Giancarlo Fortino interconnects Field, State, Internetworking, Interoperability and Smart objects in the investigation of issues within Data science. Borrowing concepts from Resource management, he weaves in ideas under Distributed computing. His work investigates the relationship between Real-time computing and topics such as Wireless sensor network that intersect with problems in Wearable computer.
Giancarlo Fortino mainly investigates Artificial intelligence, Data science, Deep learning, Enhanced Data Rates for GSM Evolution and Machine learning. His Artificial intelligence study incorporates themes from Piezoresistive effect and Computer vision. His studies deal with areas such as Field, Activity recognition, Categorization and Interoperability as well as Data science.
His study in Enhanced Data Rates for GSM Evolution is interdisciplinary in nature, drawing from both Intersection, Cloud computing and Computer security, Blockchain. His Scalability research focuses on subjects like Communications protocol, which are linked to Distributed computing. In his research, Wireless sensor network is intimately related to Routing protocol, which falls under the overarching field of Efficient energy use.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Multi-sensor fusion in body sensor networks: State-of-the-art and research challenges
Raffaele Gravina;Parastoo Alinia;Hassan Ghasemzadeh;Giancarlo Fortino.
Information Fusion (2017)
Evaluating Critical Security Issues of the IoT World: Present and Future Challenges
Mario Frustaci;Pasquale Pace;Gianluca Aloi;Giancarlo Fortino.
IEEE Internet of Things Journal (2018)
Enabling Effective Programming and Flexible Management of Efficient Body Sensor Network Applications
G. Fortino;R. Giannantonio;R. Gravina;P. Kuryloski.
IEEE Transactions on Human-Machine Systems (2013)
BodyCloud: A SaaS approach for community Body Sensor Networks
Giancarlo Fortino;Daniele Parisi;Vincenzo Pirrone;Giuseppe Di Fatta.
Future Generation Computer Systems (2014)
Security and trust issues in Fog computing: A survey
PeiYun Zhang;MengChu Zhou;MengChu Zhou;Giancarlo Fortino.
Future Generation Computer Systems (2018)
Enabling IoT interoperability through opportunistic smartphone-based mobile gateways
G. Aloi;G. Caliciuri;G. Fortino;R. Gravina.
Journal of Network and Computer Applications (2017)
A framework for collaborative computing and multi-sensor data fusion in body sensor networks
Giancarlo Fortino;Stefano Galzarano;Raffaele Gravina;Wenfeng Li.
Information Fusion (2015)
Internet of Things Based on Smart Objects: Technology, Middleware and Applications
Giancarlo Fortino;Paolo Trunfio.
An Edge-Based Architecture to Support Efficient Applications for Healthcare Industry 4.0
Pasquale Pace;Gianluca Aloi;Raffaele Gravina;Giuseppe Caliciuri.
IEEE Transactions on Industrial Informatics (2019)
Enhanced Fingerprinting and Trajectory Prediction for IoT Localization in Smart Buildings
Kai Lin;Min Chen;Jing Deng;Mohammad Mehedi Hassan.
IEEE Transactions on Automation Science and Engineering (2016)
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