Aya Rizk
Universitetslektor
Jag är passionerat intresserad av data, samt utmaningar och möjligheter användning av data skapar för företag och samhällen. Min forskning fokuserar på hur digitala innovationer, särskilt datadrivna, växer fram och utvecklas inom verksamheter.
CV
Positions
- 2022-present Associate professor, Linköping University
- 2021-2022 Postdoctoral Researcher, Luleå University of Technology
- 2015-2020 PhD Student, Luleå University of Technology
- 2013-2015 Senior Business Analyst, Zoser AG
- 2010-2013 Advanced Analytics Consultant, Teradata
- 2009-2010 Teaching Assistant, German University in Cairo
Degrees
Doctor of Philosophy (PhD), Information Systems (2020)
Title: Data-driven Innovation: An Exploration of Outcomes and Processes within Federated Networks
Department of Computer Science, Electrical and Space Engineering
Luleå University of Technology
Master of Sciences (M.Sc.), Business Informatics – (2012)
Title: Trajectory data analysis in support of understanding movement patterns: A data mining approach
Faculty of Management Technology
German University in Cairo
Title: Data-driven Innovation: An Exploration of Outcomes and Processes within Federated Networks
Department of Computer Science, Electrical and Space Engineering
Luleå University of Technology
Master of Sciences (M.Sc.), Business Informatics – (2012)
Title: Trajectory data analysis in support of understanding movement patterns: A data mining approach
Faculty of Management Technology
German University in Cairo
Other positions
2018-Present Board member and innovation advisor, Riteband AB
Research projects
2020-2022: Data-driven decision making (D3M) in operations and maintenance
Project financed under the Applied AI in Digital Innovation Hub North program with the aim of developing a data-driven decision making framework that maps and improves collaborative decision making between AI-recommended decisions and human-based domain specific decisions.
Financier: European regional development fund & the Swedish agency for economic and regional growth (Tillväxtverket)
2019-2021: Swedish Space Data Lab
Project financed under the Data Labs and Data Factories framework, aimed at establishing a national resource for the use of satellite data to drive innovation in earth-bound application areas.
Financier: Swedish innovation agency (Vinnova)
2017-2019: U4IoT
An H2020 Coordination and Support Action to support large-scale pilots of Internet of Things (IoT) implementations in five vertical sectors.
Financier: Horizon2020 – Grant Agreement 732078
2015-2018: OrganiCity
Co-creating smart cities of the future through Experimentation-as-a-Service (EaaS), utilizing Internet of Things (IoT) and open data technologies. Testbeds: London, Århus and Santander.
Financier: Horizon2020 – Grant Agreement number 645198
Project financed under the Applied AI in Digital Innovation Hub North program with the aim of developing a data-driven decision making framework that maps and improves collaborative decision making between AI-recommended decisions and human-based domain specific decisions.
Financier: European regional development fund & the Swedish agency for economic and regional growth (Tillväxtverket)
2019-2021: Swedish Space Data Lab
Project financed under the Data Labs and Data Factories framework, aimed at establishing a national resource for the use of satellite data to drive innovation in earth-bound application areas.
Financier: Swedish innovation agency (Vinnova)
2017-2019: U4IoT
An H2020 Coordination and Support Action to support large-scale pilots of Internet of Things (IoT) implementations in five vertical sectors.
Financier: Horizon2020 – Grant Agreement 732078
2015-2018: OrganiCity
Co-creating smart cities of the future through Experimentation-as-a-Service (EaaS), utilizing Internet of Things (IoT) and open data technologies. Testbeds: London, Århus and Santander.
Financier: Horizon2020 – Grant Agreement number 645198
Publikationer
2024
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2023
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Undervisning
Systemvetenskaps programmet:
1. 726G83 – Information systems development2. 725G88 – Qualitative methods in theory and practice
3. Bachelor thesis supervision
Masterprogrammet IT och management:
1. 725A48 – Introduction to IT and management2. 725A44 – Qualitative research in IT and management
3. 725A37 – Diagnosis and design of business and IT
4. Master thesis supervision
