AHCI RESEARCH GROUP
Publications
Papers published in international journals,
proceedings of conferences, workshops and books.
OUR RESEARCH
Scientific Publications
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You can use the tag cloud to select only the papers dealing with specific research topics.
You can expand the Abstract, Links and BibTex record for each paper.
2025
Ozeki, R.; Yonekura, H.; Rizk, H.; Yamaguchi, H.
Cellular-based Indoor Localization with Adapted LLM and Label-aware Contrastive Learning Proceedings Article
In: pp. 138–145, Institute of Electrical and Electronics Engineers Inc., 2025, ISBN: 9798331586461 (ISBN).
Abstract | Links | BibTeX | Tags: Cellular Network, Cellulars, Computer interaction, Contrastive Learning, Deep learning, Human computer interaction, Indoor Localization, Indoor Navigation, Indoor positioning, Indoor positioning systems, Language Model, Large language model, Learning systems, Mobile computing, Mobile-computing, Signal processing, Smart Environment, Wireless networks
@inproceedings{ozeki_cellular-based_2025,
title = {Cellular-based Indoor Localization with Adapted LLM and Label-aware Contrastive Learning},
author = {R. Ozeki and H. Yonekura and H. Rizk and H. Yamaguchi},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105010820397&doi=10.1109%2FSMARTCOMP65954.2025.00070&partnerID=40&md5=9e15d9f4225f00cd57bedc511aad27d9},
doi = {10.1109/SMARTCOMP65954.2025.00070},
isbn = {9798331586461 (ISBN)},
year = {2025},
date = {2025-01-01},
pages = {138–145},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {Accurate indoor positioning is essential for mobile computing, human-computer interaction, and next-generation smart environments, enabling applications in indoor navigation, augmented reality, personalized services, healthcare, and emergency response. Cellular signal fingerprinting has emerged as a widely adopted solution, with deep learning models achieving state-of-the-art performance. However, existing approaches face critical deployment challenges, including labor-intensive fingerprinting, sparse reference points, and missing RSS values caused by environmental interference, hardware variability, and dynamic signal fluctuations. These limitations hinder their scalability, adaptability, and real-world usability in complex indoor environments. To address these challenges, we present GPT2Loc a novel indoor localization framework that integrates LLM with label-aware contrastive learning, improving accuracy while reducing reliance on extensive fingerprinting. LLMs effectively extract meaningful spatial features from incomplete and noisy RSS data, enabling robust localization even in sparsely finger-printed areas. Our label-aware contrastive learning approach further enhances generalization by aligning latent representations with spatial relationships, allowing GPT2Loc to interpolate user locations in unseen areas and mitigate signal inconsistencies. © 2025 Elsevier B.V., All rights reserved.},
keywords = {Cellular Network, Cellulars, Computer interaction, Contrastive Learning, Deep learning, Human computer interaction, Indoor Localization, Indoor Navigation, Indoor positioning, Indoor positioning systems, Language Model, Large language model, Learning systems, Mobile computing, Mobile-computing, Signal processing, Smart Environment, Wireless networks},
pubstate = {published},
tppubtype = {inproceedings}
}
Accurate indoor positioning is essential for mobile computing, human-computer interaction, and next-generation smart environments, enabling applications in indoor navigation, augmented reality, personalized services, healthcare, and emergency response. Cellular signal fingerprinting has emerged as a widely adopted solution, with deep learning models achieving state-of-the-art performance. However, existing approaches face critical deployment challenges, including labor-intensive fingerprinting, sparse reference points, and missing RSS values caused by environmental interference, hardware variability, and dynamic signal fluctuations. These limitations hinder their scalability, adaptability, and real-world usability in complex indoor environments. To address these challenges, we present GPT2Loc a novel indoor localization framework that integrates LLM with label-aware contrastive learning, improving accuracy while reducing reliance on extensive fingerprinting. LLMs effectively extract meaningful spatial features from incomplete and noisy RSS data, enabling robust localization even in sparsely finger-printed areas. Our label-aware contrastive learning approach further enhances generalization by aligning latent representations with spatial relationships, allowing GPT2Loc to interpolate user locations in unseen areas and mitigate signal inconsistencies. © 2025 Elsevier B.V., All rights reserved.
2022
Casoria, Luigi; Gallo, Luigi; Caggianese, Giuseppe
Safeguarding Face-To-Face Communication in Augmented Reality: An Adaptive Interface Proceedings Article
In: 2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), pp. 127–132, IEEE, 2022, ISBN: 978-1-66548-574-6.
Abstract | Links | BibTeX | Tags: Adaptive interface, Augmented Reality, Data visualization, Mobile computing, Patient monitoring, Ubiquitous computing, User interface
@inproceedings{casoriaSafeguardingFaceToFaceCommunication2022,
title = {Safeguarding Face-To-Face Communication in Augmented Reality: An Adaptive Interface},
author = { Luigi Casoria and Luigi Gallo and Giuseppe Caggianese},
doi = {10.1109/MetroXRAINE54828.2022.9967661},
isbn = {978-1-66548-574-6},
year = {2022},
date = {2022-10-01},
urldate = {2023-03-15},
booktitle = {2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)},
pages = {127--132},
publisher = {IEEE},
abstract = {Recent advances in wearable augmented reality devices foster the vision of ubiquitous interaction in an immersive, digitally augmented, physical world. Assuming that such devices could one day replace smartphones for accessing information, creating interfaces safeguarding face-to-face communication is challenging. This work presents the design of an interface that adapts the information visualisation to the presence of a possible interlocutor while allowing a high level of user control. The aim was to define an interface for wearable devices adaptive to interactions coming from the surrounding environment and expressly thought for application domains in which it will be necessary to continuously monitor information. For instance, those applications that require monitoring patient data in medical applications or the progress of a production process in an industrial environment. We focused on human-to-human communication, minimising the use of mid-air interaction to hide the synthetic information that might interrupt the conversation flow. Two different visualisation modalities allowing the coexistence of real and virtual worlds are proposed and evaluated in a preliminary study with six participants who showed a generalised appreciation for the solution which maximises the display of information requiring less user intervention.},
keywords = {Adaptive interface, Augmented Reality, Data visualization, Mobile computing, Patient monitoring, Ubiquitous computing, User interface},
pubstate = {published},
tppubtype = {inproceedings}
}
Recent advances in wearable augmented reality devices foster the vision of ubiquitous interaction in an immersive, digitally augmented, physical world. Assuming that such devices could one day replace smartphones for accessing information, creating interfaces safeguarding face-to-face communication is challenging. This work presents the design of an interface that adapts the information visualisation to the presence of a possible interlocutor while allowing a high level of user control. The aim was to define an interface for wearable devices adaptive to interactions coming from the surrounding environment and expressly thought for application domains in which it will be necessary to continuously monitor information. For instance, those applications that require monitoring patient data in medical applications or the progress of a production process in an industrial environment. We focused on human-to-human communication, minimising the use of mid-air interaction to hide the synthetic information that might interrupt the conversation flow. Two different visualisation modalities allowing the coexistence of real and virtual worlds are proposed and evaluated in a preliminary study with six participants who showed a generalised appreciation for the solution which maximises the display of information requiring less user intervention.
Casoria, Luigi; Gallo, Luigi; Caggianese, Giuseppe
Safeguarding Face-To-Face Communication in Augmented Reality: An Adaptive Interface Proceedings Article
In: 2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), pp. 127–132, IEEE, 2022, ISBN: 978-1-66548-574-6, (event-place: Rome, Italy).
Abstract | Links | BibTeX | Tags: Adaptive interface, Augmented Reality, Data visualization, Mobile computing, Patient monitoring, Ubiquitous computing, User interface
@inproceedings{casoria_safeguarding_2022,
title = {Safeguarding Face-To-Face Communication in Augmented Reality: An Adaptive Interface},
author = {Luigi Casoria and Luigi Gallo and Giuseppe Caggianese},
url = {https://ieeexplore.ieee.org/document/9967661/},
doi = {10.1109/MetroXRAINE54828.2022.9967661},
isbn = {978-1-66548-574-6},
year = {2022},
date = {2022-10-01},
urldate = {2023-03-15},
booktitle = {2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)},
pages = {127–132},
publisher = {IEEE},
abstract = {Recent advances in wearable augmented reality devices foster the vision of ubiquitous interaction in an immersive, digitally augmented, physical world. Assuming that such devices could one day replace smartphones for accessing information, creating interfaces safeguarding face-to-face communication is challenging. This work presents the design of an interface that adapts the information visualisation to the presence of a possible interlocutor while allowing a high level of user control. The aim was to define an interface for wearable devices adaptive to interactions coming from the surrounding environment and expressly thought for application domains in which it will be necessary to continuously monitor information. For instance, those applications that require monitoring patient data in medical applications or the progress of a production process in an industrial environment. We focused on human-to-human communication, minimising the use of mid-air interaction to hide the synthetic information that might interrupt the conversation flow. Two different visualisation modalities allowing the coexistence of real and virtual worlds are proposed and evaluated in a preliminary study with six participants who showed a generalised appreciation for the solution which maximises the display of information requiring less user intervention.},
note = {event-place: Rome, Italy},
keywords = {Adaptive interface, Augmented Reality, Data visualization, Mobile computing, Patient monitoring, Ubiquitous computing, User interface},
pubstate = {published},
tppubtype = {inproceedings}
}
Recent advances in wearable augmented reality devices foster the vision of ubiquitous interaction in an immersive, digitally augmented, physical world. Assuming that such devices could one day replace smartphones for accessing information, creating interfaces safeguarding face-to-face communication is challenging. This work presents the design of an interface that adapts the information visualisation to the presence of a possible interlocutor while allowing a high level of user control. The aim was to define an interface for wearable devices adaptive to interactions coming from the surrounding environment and expressly thought for application domains in which it will be necessary to continuously monitor information. For instance, those applications that require monitoring patient data in medical applications or the progress of a production process in an industrial environment. We focused on human-to-human communication, minimising the use of mid-air interaction to hide the synthetic information that might interrupt the conversation flow. Two different visualisation modalities allowing the coexistence of real and virtual worlds are proposed and evaluated in a preliminary study with six participants who showed a generalised appreciation for the solution which maximises the display of information requiring less user intervention.
2011
Blandford, Ann; Pietro, Giuseppe De; Gallo, Luigi; Gimblett, Andy; Oladimeji, Patrick; Thimbleby, Harold
Engineering Interactive Computer Systems for Medicine and Healthcare (EICS4Med) Proceedings Article
In: EICS '11 Proceedings of the 3rd ACM SIGCHI Symposium on Engineering Interactive Computing Systems, pp. 341–342, ACM, Pisa, Italy, 2011, ISBN: 978-1-4503-0670-6.
Abstract | Links | BibTeX | Tags: Formal methods, Healthcare, Human computer interaction, Medical devices, Mobile computing, Modeling, Natural User Interfaces, Safety
@inproceedings{blandfordEngineeringInteractiveComputer2011,
title = {Engineering Interactive Computer Systems for Medicine and Healthcare (EICS4Med)},
author = { Ann Blandford and Giuseppe De Pietro and Luigi Gallo and Andy Gimblett and Patrick Oladimeji and Harold Thimbleby},
doi = {http://doi.acm.org/10.1145/1996461.1996556},
isbn = {978-1-4503-0670-6},
year = {2011},
date = {2011-06-01},
booktitle = {EICS '11 Proceedings of the 3rd ACM SIGCHI Symposium on Engineering Interactive Computing Systems},
pages = {341--342},
publisher = {ACM},
address = {Pisa, Italy},
abstract = {This workshop brings together and develops the community of researchers and practitioners concerned with the design and evaluation of interactive medical devices (infusion pumps, etc) and systems (electronic patient records, etc), to deliver a roadmap for future research in this area. The workshop involves researchers and practitioners designing and evaluating dependable systems in a variety of contexts, and those developing innovative interactive computer systems for healthcare. These pose particular challenges because of the inherent variability - of patients, system configurations, and so on. Participants will represent a range of perspectives, including safety engineering and innovative design.},
keywords = {Formal methods, Healthcare, Human computer interaction, Medical devices, Mobile computing, Modeling, Natural User Interfaces, Safety},
pubstate = {published},
tppubtype = {inproceedings}
}
This workshop brings together and develops the community of researchers and practitioners concerned with the design and evaluation of interactive medical devices (infusion pumps, etc) and systems (electronic patient records, etc), to deliver a roadmap for future research in this area. The workshop involves researchers and practitioners designing and evaluating dependable systems in a variety of contexts, and those developing innovative interactive computer systems for healthcare. These pose particular challenges because of the inherent variability - of patients, system configurations, and so on. Participants will represent a range of perspectives, including safety engineering and innovative design.
Blandford, Ann; Pietro, Giuseppe De; Gallo, Luigi; Gimblett, Andy; Oladimeji, Patrick; Thimbleby, Harold
Engineering interactive computer systems for medicine and healthcare (EICS4Med) Proceedings Article
In: EICS '11 Proceedings of the 3rd ACM SIGCHI symposium on Engineering interactive computing systems, pp. 341–342, ACM, Pisa, Italy, 2011, ISBN: 978-1-4503-0670-6.
Abstract | Links | BibTeX | Tags: Formal methods, Healthcare, Human computer interaction, Medical devices, Mobile computing, Modeling, Natural User Interfaces, Safety
@inproceedings{blandford_engineering_2011,
title = {Engineering interactive computer systems for medicine and healthcare (EICS4Med)},
author = {Ann Blandford and Giuseppe De Pietro and Luigi Gallo and Andy Gimblett and Patrick Oladimeji and Harold Thimbleby},
doi = {http://doi.acm.org/10.1145/1996461.1996556},
isbn = {978-1-4503-0670-6},
year = {2011},
date = {2011-06-01},
booktitle = {EICS '11 Proceedings of the 3rd ACM SIGCHI symposium on Engineering interactive computing systems},
pages = {341–342},
publisher = {ACM},
address = {Pisa, Italy},
abstract = {This workshop brings together and develops the community of researchers and practitioners concerned with the design and evaluation of interactive medical devices (infusion pumps, etc) and systems (electronic patient records, etc), to deliver a roadmap for future research in this area. The workshop involves researchers and practitioners designing and evaluating dependable systems in a variety of contexts, and those developing innovative interactive computer systems for healthcare. These pose particular challenges because of the inherent variability - of patients, system configurations, and so on. Participants will represent a range of perspectives, including safety engineering and innovative design.},
keywords = {Formal methods, Healthcare, Human computer interaction, Medical devices, Mobile computing, Modeling, Natural User Interfaces, Safety},
pubstate = {published},
tppubtype = {inproceedings}
}
This workshop brings together and develops the community of researchers and practitioners concerned with the design and evaluation of interactive medical devices (infusion pumps, etc) and systems (electronic patient records, etc), to deliver a roadmap for future research in this area. The workshop involves researchers and practitioners designing and evaluating dependable systems in a variety of contexts, and those developing innovative interactive computer systems for healthcare. These pose particular challenges because of the inherent variability - of patients, system configurations, and so on. Participants will represent a range of perspectives, including safety engineering and innovative design.
2009
Coronato, Antonio; Gallo, Luigi; Pietro, Giuseppe De
Medical Data Visualization via a Pervasive Multi-Agent Platform Journal Article
In: International Journal of Healthcare Delivery Reform Initiatives, vol. 1, no. 4, pp. 68–81, 2009, ISSN: ISSN (Online): 1938-0224 - ISSN (Print): 1938-0216.
Abstract | Links | BibTeX | Tags: Healthcare, Mobile computing, Multi-agent systems, Pervasive computing
@article{coronatoMedicalDataVisualization2009,
title = {Medical Data Visualization via a Pervasive Multi-Agent Platform},
author = { Antonio Coronato and Luigi Gallo and Giuseppe De Pietro},
doi = {10.4018/jhdri.2009100105},
issn = {ISSN (Online): 1938-0224 - ISSN (Print): 1938-0216},
year = {2009},
date = {2009-01-01},
journal = {International Journal of Healthcare Delivery Reform Initiatives},
volume = {1},
number = {4},
pages = {68--81},
abstract = {Pervasive healthcare is the field of application emerging from the combination of healthcare with pervasive computing, which is the computing paradigm that aims to provide users with access to services in a transparent way, wherever they are and whichever their interacting device is. In this paper, a software infrastructure for pervasive healthcare is presented. Such an infrastructure aims at supporting medical practitioners with advanced pervasive access to medical data, which is also context-aware in the sense that the modality to fruit data depends on the device used by the operator and on his physical position within the environment. The paper also describes a service for high quality 3D rendering of medical volume data, which takes advantage of the software infrastructure to distribute the computational load upon the devices available in the environment in a completely transparent way to users.},
keywords = {Healthcare, Mobile computing, Multi-agent systems, Pervasive computing},
pubstate = {published},
tppubtype = {article}
}
Pervasive healthcare is the field of application emerging from the combination of healthcare with pervasive computing, which is the computing paradigm that aims to provide users with access to services in a transparent way, wherever they are and whichever their interacting device is. In this paper, a software infrastructure for pervasive healthcare is presented. Such an infrastructure aims at supporting medical practitioners with advanced pervasive access to medical data, which is also context-aware in the sense that the modality to fruit data depends on the device used by the operator and on his physical position within the environment. The paper also describes a service for high quality 3D rendering of medical volume data, which takes advantage of the software infrastructure to distribute the computational load upon the devices available in the environment in a completely transparent way to users.
Coronato, Antonio; Gallo, Luigi; Pietro, Giuseppe De
Medical Data Visualization via a Pervasive Multi-Agent Platform Journal Article
In: International Journal of Healthcare Delivery Reform Initiatives, vol. 1, no. 4, pp. 68–81, 2009, ISSN: ISSN (Online): 1938-0224 - ISSN (Print): 1938-0216.
Abstract | Links | BibTeX | Tags: Healthcare, Mobile computing, Multi-agent systems, Pervasive computing
@article{coronato_medical_2009,
title = {Medical Data Visualization via a Pervasive Multi-Agent Platform},
author = {Antonio Coronato and Luigi Gallo and Giuseppe De Pietro},
url = {http://www.igi-global.com/article/medical-data-visualization-via-pervasive/40334},
doi = {10.4018/jhdri.2009100105},
issn = {ISSN (Online): 1938-0224 - ISSN (Print): 1938-0216},
year = {2009},
date = {2009-01-01},
journal = {International Journal of Healthcare Delivery Reform Initiatives},
volume = {1},
number = {4},
pages = {68–81},
abstract = {Pervasive healthcare is the field of application emerging from the combination of healthcare with pervasive computing, which is the computing paradigm that aims to provide users with access to services in a transparent way, wherever they are and whichever their interacting device is. In this paper, a software infrastructure for pervasive healthcare is presented. Such an infrastructure aims at supporting medical practitioners with advanced pervasive access to medical data, which is also context-aware in the sense that the modality to fruit data depends on the device used by the operator and on his physical position within the environment. The paper also describes a service for high quality 3D rendering of medical volume data, which takes advantage of the software infrastructure to distribute the computational load upon the devices available in the environment in a completely transparent way to users.},
keywords = {Healthcare, Mobile computing, Multi-agent systems, Pervasive computing},
pubstate = {published},
tppubtype = {article}
}
Pervasive healthcare is the field of application emerging from the combination of healthcare with pervasive computing, which is the computing paradigm that aims to provide users with access to services in a transparent way, wherever they are and whichever their interacting device is. In this paper, a software infrastructure for pervasive healthcare is presented. Such an infrastructure aims at supporting medical practitioners with advanced pervasive access to medical data, which is also context-aware in the sense that the modality to fruit data depends on the device used by the operator and on his physical position within the environment. The paper also describes a service for high quality 3D rendering of medical volume data, which takes advantage of the software infrastructure to distribute the computational load upon the devices available in the environment in a completely transparent way to users.
2007
Coronato, Antonio; Pietro, Giuseppe De; Gallo, Luigi
Dynamic Distribution and Execution of Tasks in Pervasive Grids Proceedings Article
In: 15th EUROMICRO International Conference on Parallel, Distributed and Network-Based Processing, pp. 419–423, IEEE Computer Society, Naples, Italy, 2007, ISBN: 0-7695-2784-1.
Abstract | Links | BibTeX | Tags: Grid computing, Mobile computing, Software architecture
@inproceedings{coronatoDynamicDistributionExecution2007,
title = {Dynamic Distribution and Execution of Tasks in Pervasive Grids},
author = { Antonio Coronato and Giuseppe De Pietro and Luigi Gallo},
doi = {10.1109/PDP.2007.39},
isbn = {0-7695-2784-1},
year = {2007},
date = {2007-02-01},
booktitle = {15th EUROMICRO International Conference on Parallel, Distributed and Network-Based Processing},
pages = {419--423},
publisher = {IEEE Computer Society},
address = {Naples, Italy},
abstract = {Grid computing and pervasive computing have rapidly emerged and affirmed respectively as the paradigm for high performance computing and the paradigm for user-friendly computing. The conjunction of such paradigms are now generating a new one, the pervasive grid computing, which aims at extending classic grids with characteristics of pervasive computing like spontaneous and transparent integration of mobile devices, context-awareness, pro-activity, and so on. In this paper, we present a software infrastructure for integrating mobile devices as active resources in a grid. In particular, it has been developed a service able to dynamically distribute and execute user's tasks on a grid of mobile and fixed devices. Mobile devices participate to the grid in a way completely transparent to their owners, hence the computational power is given without any configuration operation and in a reliable way. As well, users willing of executing their applications directly submit their code without caring of choosing and allocating resources of the grid.},
keywords = {Grid computing, Mobile computing, Software architecture},
pubstate = {published},
tppubtype = {inproceedings}
}
Grid computing and pervasive computing have rapidly emerged and affirmed respectively as the paradigm for high performance computing and the paradigm for user-friendly computing. The conjunction of such paradigms are now generating a new one, the pervasive grid computing, which aims at extending classic grids with characteristics of pervasive computing like spontaneous and transparent integration of mobile devices, context-awareness, pro-activity, and so on. In this paper, we present a software infrastructure for integrating mobile devices as active resources in a grid. In particular, it has been developed a service able to dynamically distribute and execute user's tasks on a grid of mobile and fixed devices. Mobile devices participate to the grid in a way completely transparent to their owners, hence the computational power is given without any configuration operation and in a reliable way. As well, users willing of executing their applications directly submit their code without caring of choosing and allocating resources of the grid.
Coronato, Antonio; Pietro, Giuseppe De; Gallo, Luigi
Dynamic Distribution and Execution of Tasks in Pervasive Grids Proceedings Article
In: 15th EUROMICRO International Conference on Parallel, Distributed and Network-Based Processing, pp. 419–423, IEEE Computer Society, Naples, Italy, 2007, ISBN: 0-7695-2784-1.
Abstract | Links | BibTeX | Tags: Grid computing, Mobile computing, Software architecture
@inproceedings{coronato_dynamic_2007,
title = {Dynamic Distribution and Execution of Tasks in Pervasive Grids},
author = {Antonio Coronato and Giuseppe De Pietro and Luigi Gallo},
doi = {10.1109/PDP.2007.39},
isbn = {0-7695-2784-1},
year = {2007},
date = {2007-02-01},
booktitle = {15th EUROMICRO International Conference on Parallel, Distributed and Network-Based Processing},
pages = {419–423},
publisher = {IEEE Computer Society},
address = {Naples, Italy},
abstract = {Grid computing and pervasive computing have rapidly emerged and affirmed respectively as the paradigm for high performance computing and the paradigm for user-friendly computing. The conjunction of such paradigms are now generating a new one, the pervasive grid computing, which aims at extending classic grids with characteristics of pervasive computing like spontaneous and transparent integration of mobile devices, context-awareness, pro-activity, and so on. In this paper, we present a software infrastructure for integrating mobile devices as active resources in a grid. In particular, it has been developed a service able to dynamically distribute and execute user's tasks on a grid of mobile and fixed devices. Mobile devices participate to the grid in a way completely transparent to their owners, hence the computational power is given without any configuration operation and in a reliable way. As well, users willing of executing their applications directly submit their code without caring of choosing and allocating resources of the grid.},
keywords = {Grid computing, Mobile computing, Software architecture},
pubstate = {published},
tppubtype = {inproceedings}
}
Grid computing and pervasive computing have rapidly emerged and affirmed respectively as the paradigm for high performance computing and the paradigm for user-friendly computing. The conjunction of such paradigms are now generating a new one, the pervasive grid computing, which aims at extending classic grids with characteristics of pervasive computing like spontaneous and transparent integration of mobile devices, context-awareness, pro-activity, and so on. In this paper, we present a software infrastructure for integrating mobile devices as active resources in a grid. In particular, it has been developed a service able to dynamically distribute and execute user's tasks on a grid of mobile and fixed devices. Mobile devices participate to the grid in a way completely transparent to their owners, hence the computational power is given without any configuration operation and in a reliable way. As well, users willing of executing their applications directly submit their code without caring of choosing and allocating resources of the grid.