Alessandra Mileo
DR
Prof. Alessandra Mileo is currently Associate Professor and Principal Investigator at the Insight SFI Research Centre for Data Analytics, Dublin City University (DCU). Before Joining DCU, she was 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.
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).
She has been working for a few years on scalable and interoperable ways of transforming web data streams into actionable knowledge. Research areas around this velocity aspect of Big Data involve Stream Reasoning, Web of Things/Internet of Things, query optimization, expressive and scalable stream reasoning languages and frameworks, hybrid methods for qualitative and quantitative reasoning, and access control for Linked Data. She is also active in collaborating with other research groups within the Center, 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. As part of this research activity, she has been involved in standardization activities. Specifically, she is active in the W3C Community Group on RDF Stream Processing, and the Web of Things Interest Group. Within the European Research Cluster on the Internet of Things, she has contributed to the Activity Chain on Cognitive Technologies for IoT (IERC, AC7).
Prof. Mileo is currently Chair of the BSc in Data Science at DCU, and she is heavily involved in supervision at undergrad and postgrad level, having successfully graduated 7 PhD and currently supervising 6 as principal supervisor and 2 as co-supervisor.
In the last few years, Prof. Mileo has developed a new research programme focused on neural-symbolic computation and knowledge-enhanced Deep Representation Learning. She 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 and being an active PC member of over 20 top-ranked conferences and high-impact journals including the Journal of Web Semantics (JWS), IEEE Intelligent Systems (IEEE IS), Theory and Practice of Logic Programming (TPLP), and she is acting as EU registered expert evaluator (EX2015D232419, EX2013D135794).
Prof. Mileo has been involved as a Program Chair, Panelist and Doctoral Consortium Mentor and Chair in a number of conferences, workshops and tutorials and she is part of the Editorial Board of the newly established Neurosymbolic AI Journal by IOS press.
Her current research focus is on Explainable Artificial Intelligence, specifically Neurosymbolic Learning and Reasoning, Graph Analysis, Knowledge Discovery and Decision Making, with applications in clinical diagnostics and health monitoring, and she is a named supervisor for the Neuroinsight Marie-Curie COFUND.
Prof. Mileo is member of the Italian Association for AI (AIIA), AAAI, Association of Logic Programing (ALP) and a Steering Committee member of the Web Reasoning and Rule Systems Association (RRA) since 2015.
Peer Reviewed Journal
| Year | Publication | |
|---|---|---|
| 2021 | Horta, V.A.C.; Tiddi, I.; Little, S.; Mileo, A. (2021) 'Extracting knowledge from Deep Neural Networks through graph analysis'. Future Generation Computer Systems, 120 . [Link] [DOI] | |
| 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, . | |
| 2019 | Pham, TL; Ali, MI; Mileo, A (2019) 'Enhancing the scalability of expressive stream reasoning via input-driven parallelization'. Semantic Web, 10 :457-474. [DOI] | |
| 2019 | Kolozali, S.; Bermudez-Edo, M.; Farajidavar, N.; Barnaghi, P.; Gao, F.; Intizar Ali, M.; Mileo, A.; Fischer, M.; Iggena, T.; Kuemper, D.; Tonjes, R. (2019) '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, 6 . [Link] [DOI] | |
| 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] [DOI] | |
| 2017 | Ali, Muhammad Intizar and Ono, Naomi and Kaysar, Mahedi and Shamszaman, Zia Ush and Pham, Thu-Le and Gao, Feng and Griffin, Keith and Mileo, Alessandra (2017) 'Real-time data analytics and event detection for iot-enabled communication systems'. 42 :19-37. | |
| 2017 | Gao, F.; Ali, M.I.; Curry, E.; Mileo, A. (2017) 'Automated discovery and integration of semantic urban data streams: The ACEIS middleware'. Future Generation Computer Systems, 76 . [Link] [DOI] | |
| 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] [DOI] |
Conference Publication
| Year | Publication | |
|---|---|---|
| 2013 | Syed Zeeshan Haider Gillani and Muhammad Intizar Ali and Alessandra Mileo (2013) The Semantic Web: ESWC 2013 Satellite 大发体育在线_大发体育-投注|官网 - ESWC 2013 Satellite 大发体育在线_大发体育-投注|官网, 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.L.; Germano, S.; Mileo, A.; Kuemper, D.; Ali, M.I. (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 [Link] [DOI] | |
| 2019 | Pham, T.L.; Ali, M.I.; Mileo, A. (2019) C-ASP: Continuous ASP-Based Reasoning over RDF Streams [Link] [DOI] | |
| 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, T.L.; Mileo, A.; Ali, M.I. (2017) Towards scalable non-monotonic stream reasoning via input dependency analysis [Link] [DOI] |