Professor   Leopoldo Bertossi
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Co-Organizer of the WS on Foundational Aspects of Neursoymbolic Computing (FANeSy) 2024.
Co-Organizer of the Reasoning Web School 2022.       LNCS Volume with Tutorial Lectures.
Short Research Profile 2023.
Since June 2024: Researcher. Universidad San Sebastian, Fac. Engineering, Architecture and Design, Santiago, Chile.
Since Sept. 2019: Emeritus Professor at Carleton University,
School of Computer Science, Ottawa, Canada.
July 2022-June 2024: Professor. Skema Business School Canada, R&D Lab. Artificial Intelligence. Montreal, Canada.
Sept. 2019 - July 2022: Universidad Adolfo Ibanez (UAI), Faculty of Engineering and Science, Santiago, Chile.
    Full Professor.   Director of MSc and PhD Programs in Data Science.
Since Sept. 2019: Senior UAI Fellow.
Senior Researcher at the "Millennium Institute for Foundational Research on Data" (IMFD Chile). Since 2018.
Principal Researcher and Board Member at the "National Basal Center for AI Research" (CENIA, Chile). Since March 2022.
Member of Steering Committee of the ``Web Reasoning and Rule Systems" Association (RRA). Since Dec. 2022.
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Contact:   bertossi@scs.carleton.ca
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- Until Sept. 2019, Full Professor, Carleton University, Ottawa, Canada.
- Senior Computer Scientist at RelationalAI Inc. (Berkeley, CA, USA) Until 2020.
- Member of Academic Network of RelationalAI Inc. Until 2021.
- First Fellow of the Alberto Mendelzon WS on Foundations of Data Management (AMW), 2017.
- Special Recognition of the Brazilean Computer Science Society, 2017.
- Honor WS at AMW'17.
- Doctor Honoris Causa. Universidad Privada Antenor Orrego. Peru, Nov. 2015.
- (First) Honorary Member of the Chilean Computer Science Society (SCCC).
- Former Faculty Fellow, IBM Center for Advanced Studies, Toronto Lab.
- Former member of the ACM Distinguished Speakers Program.
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Areas of Research and Interest:
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- Data Science
- Explainable AI and Machine Learning
- Uncertainty in Data and Knowledge for AI
- Causality in Data, Knowledge and AI
- Data Management and Databases
- Data Management for Business Intelligence
- Data Quality
- Data Integration
- Data Warehouses and Multidimensional Databases
- Intelligent Information Systems
- Statistical Relational Learning and Probabilistic Graphical Models
- Logico-Probabilistic Knowledge Representation
- Semantic Web, Ontologies, Data on the Web
- Logic Programming and Computational Logic
- Logic in Computer Science
- Computational Complexity
- Foundations of Probability and Statistical Methods
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