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Andrea F Paramithiotti
Freelance IT Consultant
Milano, Italy

After receiving a BS and MS in Computer Science from the Polytechnic University of Milan, Andrea was employed for some time in the information technology (IT) department of a large logistics and warehousing company. Andrea soon discovered that the nine-to-five life was rather dull for him; so, in search of more stimulating experiences, he established his own IT practice. At first he just helped small enterprises get started with IT, but soon this activity became more and more structured as a network of collaborations took shape, for example, on the academic side with AICA (Associazione Italiana Calcolo Automatico). Andreas collaborated with AICA in the establishment of the European e-Competence Framework, a reference to the competences needed in the information and communications technology (ICT) profession and a project developed on behalf of the European Union (EU).

Nowadays, with the ever-growing strategic role of ICT in companies of all sizes, Andrea’s practice has expanded into an established network of collaborators that offer advice and solutions on most aspects of enterprise ICT, from infrastructure design to application development to data husbandry, transforming the ICT infrastructure of his customers from an undefined assortment of almost casual activities to a structured driver for business value.

Andrea often lectures on these topics for enterprises and professional associations, as well as the general public. He has been a reviewer for Computing Reviews since 2004. He is currently working on transforming his experiences in the field into guidelines, for the establishment and evolution of a sound IT environment for small and medium-sized enterprises (SMEs).


Developing a workflow management system simulation for capturing internal IaaS behavioural knowledge
Al-Haboobi A., Kecskemeti G. Journal of Grid Computing 21(1): 1-26, 2023.  Type: Article

Scientific datasets are huge compared to even the most complex business ones, and their analysis methods are accordingly complex. These methods, called scientific workflows, consist of a large number of dependent jobs with complex priority constra...


 Predictive and simulation analytics: deep insights for better business decisions
Paczkowski W., Springer International Publishing, Cham, Switzerland, 2023. 395 pp.  Type: Book (3031318862)

In a world where complexity is increasing by the day, a group of disciplines collectively known as “data science” is becoming more and more important and useful in addressing compelling problems in an increasing number of scientific br...


Computer networks: a systems approach (6th ed.)
Peterson L., Davie B., Morgan Kaufmann, Cambridge, MA, 2021. 848 pp.  Type: Book (978-1-281820-08-2)

These days networking is not as hot a buzzword in information technology (IT) as many others, such as artificial intelligence (AI) or machine learning; nevertheless, without networking, there would be neither AI nor machine learning. T...


Self-awareness in software engineering: a systematic literature review
Elhabbash A., Salama M., Bahsoon R., Tino P. ACM Transactions on Autonomous and Adaptive Systems 14(2): 1-42, 2019.  Type: Article

As researchers in the field of distributed software systems, the authors feel as though software self-awareness is becoming more and more fundamental to their work. On the one hand, they see a great number of scientific publications av...


Designing robot teams for distributed construction, repair, and maintenance
Wareham T. ACM Transactions on Autonomous and Adaptive Systems 14(1): 1-29, 2019.  Type: Article

Human beings consider some environments hostile, such as deep space, nuclear reactors, or contaminated areas, and thus are not very keen on working in them. In cases such as these, robots might just step in to accomplish tasks in place...


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