Emanuele Della Valle holds a PhD in Computer Science from the Vrije Universiteit Amsterdam and a Master degree in Computer Science and Engineering from Politecnico di Milano. He has been an associate professor at the Department of Electronics, Information and Bioengineering of the Politecnico di Milano since 2020, and was an assistant professor there since 2008.
For more than 25 years, Artificial Intelligence has been the common thread of his work: from his Master thesis on reinforcement learning (2000), through knowledge representation and reasoning for the Semantic Web, to learning from data streams. He started the Stream Reasoning research field in 2007, positioning it at the intersection between Stream Processing and Artificial Intelligence, and contributed to establishing it as a recognized research and industrial sector through workshops, projects, and journal papers. The extensions he proposed to the Semantic Web stack (RDF streams and Continuous SPARQL) were brought to the W3C RDF Stream Processing community group, and he has organized every edition of the Stream Reasoning Workshop series.
Building on the inductive side of Stream Reasoning, his research then focused on Streaming Machine Learning and, more recently, on Streaming Continual Learning, which combines rapid adaptation to evolving data streams with the retention of previously acquired knowledge. Along the way, his interests also covered data science, big data, semantic technologies, and web information retrieval. He applied his research to space, manufacturing, IoT, mobile telecom, and social media data in collaboration with Leonardo, Thales Alenia Space, Siemens, Indra, Telecom Italia, Equinor, and IBM.
He is a serial entrepreneur. He co-founded Fluxedo (2016–2020) to offer crowd analytics based on continuous social media analytics and Edge AI; Quantia Consulting (2019–) to support organizations in becoming data-driven; and motus ml (2023–), an academic spin-off of Politecnico di Milano that develops AI solutions for physical systems in the space and manufacturing sectors.
His h-index is 40 and he was cited 6,825 times (2,099 since 2021) according to Google Scholar; according to Scopus, his h-index is 28 with 3,339 citations. He is a member of the editorial board of the Journal of Web Semantics and Area Editor of Transactions on Graph Data and Knowledge (TGDK). He co-authored 198 publications with 370 co-authors, including 32 journal articles (among them TOIT and 14 top-ranked Q1 journals, such as JWS, SWJ, Sigmod Record, Commun. ACM, Data Min. Knowl. Discov., Neurocomputing, and IEEE IS) and 56 papers in major conferences such as ISWC, ESWC, WWW, CAiSE, IEEE BigData, and DEBS. He co-authored a book on Streaming Linked Data (2023), a book on Relevant Query Answering Over Streaming and Distributed Data (2020), a book on Web Information Retrieval (2013), and a book in Italian on the Semantic Web (2009); a book on Streaming Artificial Intelligence is forthcoming (Springer, 2027).
He was Principal Investigator of two EIT Digital activities on Digital Cities between 2013 and 2015 and of the FP7 Service Finder project, and he coordinated the Stream Reasoning activities of the FP7 LarKC project. He was involved in other 8 EU projects in H2020, FP7, FP6, and FP5. More recently, he secured funding for industrial PhD scholarships with Thales Alenia Space and PNRR.
From 2001 to 2008, he worked in CEFRIEL. Between 2001 and 2004, he worked in strategic consultancy IT projects of CEFRIEL in eBusiness, eGovernment, and eHealth. In 2003, he started the Semantic Web Practice of CEFRIEL, which he coordinated until 2008.
For more information read Emanuele Della Valle’s full Curriculum Vitae.