Alessandra Mileo

DR

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Dr. Alessandra Mileo is currently a Lecturer in the School of Computing, a Funded Investigator at the INSIGHT Centre for Data Analytics, and a Funded Investigator at the I-Form Advanced Manufacturing Centre, Dublin City University. She was previously a Senior Research Fellow, Adjunct Lecturer and Unit Leader at the INSIGHT Centre for Data Analytics, National University of Ireland Galway.  She holds an MSC and a PhD in Computer Science from the University of Milan, Italy.
Before Joining the Digital Enterprise Research Institute (DERI, NUIG) in 2010, she was a Post-doctoral Researcher at the Nomadis Lab, Dept. of Informatics, Systems and Communication of the University of Milano-bicocca, conducting interdisciplinary research activities involving Ambient Intelligence and Knowledge-driven Sensor Fusion, which converged in the succesful EU project proposal EasyReach, AAL, 2009-2-17, as well as the establishment of a spin-off company in 2009, now called Contexta. She continued her active contribution to successful EU proposals within DERI and later INSIGHT, acquiring a competitive EU project in the Smart Cities realm (CityPulse: Real-Time IoT Stream Processing and Large-scale Data Analytics for Smart City Applications) and she has been Principal Investigator for the primary industry collaboration within the Research Centre portfolio (Enabling the Internet of Everything: a Linked Data infrastructure for networking, managing and analyzing streaming information and follow up industry-funded projects).
In the last 5 years, Dr. Mileo has developed a research programme in Knowledge Representation and Stream Reasoning, leveraging Semantic Technologies, expressive reasoning and statistical relational learning to design new approaches for scalable stream reasoning.
Dr. Mileo has secured almost 1 million euros in funding including national (SFI, IRC), international (EU, NSF) and industry-funded projects, publishing 90+ papers often in high impact journals and conferences. Dr. Mileo is an active PC member of over 20 top-ranked conferences and high-impact journals in her areas of interests within Artificial Intelligence, including Stream Reasoning, Complex Systems, Logic Programming, Semantic Web, Probabilistic Rule Learning, Knowledge Discovery and Knowledge Representation. including the Journal of Web Semantics (JWS), IEEE Intelligent Systems (IEEE IS), Theory and Practice of Logic Programming (TPLP), and she is Area Editors of the Databases and Semantic Web track of the Association of Logic Programming Newsletter. Dr. Mileo has been involved as a Program Chair, Panelist and Doctoral Consortium Mentor and Chair in a number of conferences, workshops and tutorials. As a member of the W3C, she is involved in standardization activities such as the W3C Community Group on RDF Stream Processing. She is Steering Committee member of the Web Reasoning and Rule Systems Association (RRA) and she is acting as evaluator for H2020 proposals.


Peer Reviewed Journal

Year Publication
2016 Feng Gao and Muhammad Intizar Ali and Edward Curry and Alessandra Mileo (2016) 'QoS-Aware Stream Federation and Optimization Based on Service Composition'. 12 (4):43-67. Link
2017 Feng Gao and Muhammad Intizar Ali and Edward Curry and Alessandra Mileo (2017) 'Automated discovery and integration of semantic urban data streams: The ACEIS middleware'. 76 :561-581. Link
2021 Horta, Vitor AC and Tiddi, Ilaria and Little, Suzanne and Mileo, Alessandra (2021) 'Extracting knowledge from Deep Neural Networks through graph analysis'. Future Generation Computer Systems, .
2018 Kolozali S.;Bermudez-Edo M.;Davar N.;Barnaghi P.;Gao F.;Ali M.;Mileo A.;Fischer M.;Iggena T.;Kuemper D.;Tonjes R. (2018) 'Observing the Pulse of a City: A Smart City Framework for Real-time Discovery, Federation, and Aggregation of Data Streams'. Ieee Internet Of Things Journal, .
2019 Pham, TL;Ali, MI;Mileo, A (2019) 'Enhancing the scalability of expressive stream reasoning via input-driven parallelization'. Semantic Web, 10 :457-474.
2017 Gao, F;Ali, MI;Curry, E;Mileo, A (2017) 'Automated discovery and integration of semantic urban data streams: The ACEIS middleware'. Future Generation Computer Systems, 76 :561-581.

Edited Book

Year Publication
2015 ten Cate, Balder and Mileo, Alessandra (Ed.). (2015) Berlin, Heidelberg: Springer,

Conference Publication

Year Publication
2013 Syed Zeeshan Haider Gillani and Muhammad Intizar Ali and Alessandra Mileo (2013) The Semantic Web: ESWC 2013 Satellite Events - ESWC 2013 Satellite Events, Montpellier, France, May 26-30, 2013, Revised Selected Papers XSPARQL-Viz: A Mashup-Based Visual Query Editor for XSPARQL Link
2013 Qaiser Mehmood and Muhammad Intizar Ali and Ollie Fagan and Owen Friel and Alessandra Mileo (2013) On the Move to Meaningful Internet Systems: OTM 2013 Conferences - Confederated International Conferences: CoopIS, DOA-Trusted Cloud, and ODBASE 2013, Graz, Austria, September 9-13, 2013. Proceedings Semantically Interlinked Notification System for Ubiquitous Presence Management Link
2014 Feng Gao and Edward Curry and Muhammad Intizar Ali and Sami Bhiri and Alessandra Mileo (2014) Service-Oriented Computing - 12th International Conference, ICSOC 2014, Paris, France, November 3-6, 2014. Proceedings QoS-Aware Complex Event Service Composition and Optimization Using Genetic Algorithms Link
2014 Muhammad Intizar Ali and Alessandra Mileo (2014) On the Move to Meaningful Internet Systems: OTM 2014 Conferences - Confederated International Conferences: CoopIS, and ODBASE 2014, Amantea, Italy, October 27-31, 2014, Proceedings How Good Is Your SPARQL Endpoint? - A QoS-Aware SPARQL Endpoint Monitoring and Data Source Selection Mechanism for Federated SPARQL Queries Link
2014 Feng Gao and Muhammad Intizar Ali and Alessandra Mileo (2014) Proceedings of the Fifth Workshop on Semantics for Smarter Cities a Workshop at the 13th International Semantic Web Conference (ISWC 2014), Riva del Garda, Italy, October 19, 2014 Semantic Discovery and Integration of Urban Data Streams Link
2015 Shamszaman, Zia Ush and Ali, Muhammad Intizar and Mileo, Alessandra (2015) RDF Stream Processing Workshop (ESWC2015) On the need for adaptivity in RDF Stream Processing
2016 Feng Gao and Muhammad Intizar Ali and Edward Curry and Alessandra Mileo (2016) Proceedings of the 31st Annual ACM Symposium on Applied Computing, Pisa, Italy, April 4-8, 2016 QoS-aware adaptation for complex event service Link
2017 Thu-Le Pham and Alessandra Mileo and Muhammad Intizar Ali (2017) 33rd IEEE International Conference on Data Engineering, ICDE 2017, San Diego, CA, USA, April 19-22, 2017 Towards Scalable Non-Monotonic Stream Reasoning via Input Dependency Analysis Link
2017 Thu-Le Pham and Stefano Germano and Alessandra Mileo and Daniel K\"umper and Muhammad Intizar Ali (2017) 20th Conference on Innovations in Clouds, Internet and Networks, ICIN 2017, Paris, France, March 7-9, 2017 Automatic configuration of smart city applications for user-centric decision support Link
2019 Thu-Le Pham and Muhammad Intizar Ali and Alessandra Mileo (2019) Proc. of Logic Programming and Non-Monotonic Reasoning LPNMR 2019, Philadelphia, USA C-ASP: Continous ASP-based Reasoning over RDF Streams
2017 Pham T.;Germano S.;Mileo A.;Kuemper D.;Ali M. (2017) Proceedings of the 2017 20th Conference on Innovations in Clouds, Internet and Networks, ICIN 2017 Automatic configuration of smart city applications for user-centric decision support
2019 Pham T.;Ali M.;Mileo A. (2019) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) C-ASP: Continuous ASP-Based Reasoning over RDF Streams
2019 Quinn S.;Mileo A. (2019) IJCAI International Joint Conference on Artificial Intelligence Towards architecture-agnostic neural transfer: A knowledge-enhanced approach
2017 Pham, TL;Germano, S;Mileo, A;Kuemper, D;Ali, MI (2017) PROCEEDINGS OF THE 2017 20TH CONFERENCE ON INNOVATIONS IN CLOUDS, INTERNET AND NETWORKS (ICIN) Automatic Configuration of Smart City Applications for User-Centric Decision Support
2014 Wang P.;Smeaton A.;Mileo A. (2014) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Semantically enhancing multimedia lifelog events
2017 Pham, TL;Mileo, A;Ali, MI (2017) 2017 IEEE 33RD INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE 2017) Towards Scalable Non-monotonic Stream Reasoning via Input Dependency Analysis
Certain data included herein are derived from the © Web of Science (2021) of Clarivate. All rights reserved.

Enterprise Engagement

Year Engagement Type Client Description
2015 Other European Research Area European Panel on Developing Research Infrastructure for Open Science
2015-2016 Other Cisco Systems Funded collaboration
2018 Other Nokia Bell Labs Research collaboration

Research Interests

Current research focuses on Stream Reasoning and Representation Learning.

In the Stream Reasoning area, I have been mainly working on scalable and interoperable ways of transforming web data streams into actionable knowledge. Research areas around this velocity aspect of Big Data involve distributed and parallel inference as well as the design of hybrid methods for qualitative and quantitative reasoning.Ongoing collaborations are currently in place on applying research outcomes in real world applications that have a very high economical and social potential impact. These include health monitoring, smart cities, sustainable IT and smart enterprise.
In the are of Representation Learning, I am interested in investigating new comprehensive approaches to data analysis that combine knowledge-driven and data-driven representations. Beyond the ability to crunch and learn from massive data, the new generation of intelligent machines will need to be able to explain their outcomes, debug errors and reduce data bias. Knowledge Representation, Rule Learning and Neural Networks can play a key role in designing machines that exhibit both cognitive and neural reasoning, but many open questions remain on how to most effectively combine these two capabilities. Along with these challenges, such new approaches will bridge the gap between two faces of AI (connectionist and symbolic) that are historically diverging.

Modules Coordinated

Term Title Subject
2020 Professional Practice for Enterprise Comp. CA279
2020 Artificial Intelligence, Info & Info Seeking CA652
2022 Artificial Intelligence, Info. & Info Seeking CA652D
2022 Data at Speed and Scale CA4022
2022 Cloud Systems CA687I