2020 - ACM Senior Member
Member of the European Academy of Sciences and Arts
Marco Aiello spends much of his time researching Web service, World Wide Web, Service, Nuclear medicine and Complex network. His Web service research incorporates elements of Business process, Mobile computing, Reuse and Information system. His Service research is multidisciplinary, incorporating elements of Ubiquitous computing, Aggregate, Face and Architecture framework.
His research integrates issues of Radiology and Fractional anisotropy, Diffusion MRI, White matter in his study of Nuclear medicine. His Complex network study incorporates themes from Distributed generation, Electric power distribution and Topology. His Electric power distribution research includes themes of Management science, Relevance, Network simulation, TRACE and Complex system.
His primary areas of study are World Wide Web, Web service, Artificial intelligence, Software engineering and Internal medicine. He performs integrative study on World Wide Web and Universal Description Discovery and Integration. His Web service research incorporates themes from XML, Service and Service.
His study in Business process extends to Service with its themes. His Artificial intelligence study combines topics from a wide range of disciplines, such as Machine learning, Pattern recognition and Natural language processing. His studies deal with areas such as Oncology and Cardiology as well as Internal medicine.
His scientific interests lie mostly in Internal medicine, Context, Magnetic resonance imaging, Environmental economics and Renewable energy. His Internal medicine study incorporates themes from Oncology and Cardiology. The concepts of his Magnetic resonance imaging study are interwoven with issues in Positron emission tomography and Neuroscience.
In his research on the topic of Environmental economics, Distributed generation is strongly related with Energy management. The study incorporates disciplines such as Energy management system and Smart grid in addition to Renewable energy. He undertakes interdisciplinary study in the fields of Smart grid and Work through his works.
His primary scientific interests are in Context, Positron emission tomography, Magnetic resonance imaging, Artificial intelligence and Internal medicine. His research integrates issues of Frame, Field, Test data generation and Big data in his study of Context. His Positron emission tomography study introduces a deeper knowledge of Neuroscience.
His Magnetic resonance imaging research incorporates themes from Fabry disease and Biomedical engineering. His studies in Artificial intelligence integrate themes in fields like Consciousness, Machine learning and Ising model. He has included themes like Melanoma and Cardiology in his Internal medicine study.
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Energy intelligent buildings based on user activity: A survey
Tuan Anh Nguyen;Marco Aiello.
Energy and Buildings (2013)
The Power Grid as a Complex Network: a Survey
Giuliano Andrea Pagani;Marco Aiello.
Physica A-statistical Mechanics and Its Applications (2013)
Handbook of Spatial Logics
Marco Aiello;Ian E. Pratt-Hartmann;Johan F.A.K. van Benthem.
Springer Verlag; 2007. (2007)
Planning and monitoring the execution of web service requests
A. Lazovik;M. Aiello;M. Papazoglou.
Associating assertions with business processes and monitoring their execution
A. Lazovik;M. Aiello;M. Papazoglou.
Document understanding for a broad class of documents
Marco Aiello;Christof Monz;Leon Todoran;Marcel Worring.
International Journal on Document Analysis and Recognition (2002)
Towards Decentralization: A Topological Investigation of the Medium and Low Voltage Grids
G. A. Pagani;M. Aiello.
IEEE Transactions on Smart Grid (2011)
Relationship between simultaneously acquired resting-state regional cerebral glucose metabolism and functional MRI: A PET/MR hybrid scanner study
Marco Aiello;Elena Salvatore;Arnaud Cachia;Sabina Pappatà.
Reasoning About Space: The Modal Way
Marco Aiello;Johan van Benthem;Guram Bezhanishvili.
Journal of Logic and Computation (2003)
Comparison of whole-body PET/CT and PET/MRI in breast cancer patients: lesion detection and quantitation of 18F-deoxyglucose uptake in lesions and in normal organ tissues.
Leonardo Pace;Emanuele Nicolai;Angelo Luongo;Marco Aiello.
European Journal of Radiology (2014)
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