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Nadia Saad Noori


Associate Professor

A curiosity driven person and always looking for the next challenge! By training, I am a computer and control systems engineer. I have over 20 years of combined experience between industry and academia. I hold both a B.Sc. and M.Sc. in Computer Systems Engineering from Baghdad University, College of Engineering (1999 & 2002 respectively); with focus on design and development of SCADA systems for electrical energy sector. Furthermore, I hold a M.A.Sc. in Technology Innovation Management (TIM) from Carleton University in Ottawa, Canada (in 2010); with focus on open source platforms for real-time communications and collaboration. In 2016, I obtained my PhD title from LaSalle Ramon Llull University in Barcelona Spain, in Electronic and Information Systems Engineering with specialization in coordination and communication methods (technologies and procedures) for disaster response operations.

Throughout my career, I have maintained a balance between practice and academia. I held several managerial & development positions where I was engaged in activities supporting or leading: hi-tech start-ups in Ontario, Canada; engineering teams at Cisco in San Jose, CA, USA; and developer teams for web-conferencing service providers in Ottawa, ON, Canada. Such engagements contributed hugely to my practical knowledge on Web 2.0 technologies, client-server systems architecture / deployments, back-end software development, back-end/front-end systems' security (port/network configurations, user authentication, database servers, etc.), real-time collaboration and communications systems. In addition, I developed experience in managing software product development following methods and practices such as SCRUM, continuous integration, test driven development, quality assurance and product release management.

Since Autumn of 2016, I have been working in Norway at CIEM- Center for Integrated Emergency Management at University of Agder (UiA), where I carried out research and teaching activities related to integrating new technologies in disaster management, cybersecurity incident managment. I also joined NORCE Norwegian Research Center (previously Teknova) as a Senior Researcher in 2018,where I work with new methods for advanced condition based monitoring for industrial applications (e.g. electricity distribution grid, agriculture, oil & gas offshore installations). These activities constantly involved consideration of using new and emerging technologies in designing and developing real-time systems. In addition to research and project management work, I have led and coordinated several project proposals targeting European Union and Norwegian Research Council funding opportunities.


Machine Learning, Artificial Intelligence, Computer& Machine Vision, IoT, Industrial Automation, Autonomous Systems, Systems' Architecture, Security and Safety for Critical Infrastructure Operations, Information Systems' Cybersecurity, Technology Integration in Disaster Management

Faglige interesser


PhD Dissertation

Coordination Dynamics in Disaster Response Operations: A Network Based Discrete Event Analysis

Weblink: http://www.tesisenred.net/handle/10803/396129

Thesis Supervisors:

Professor Dr. Xavier Vilasis Cardona

La Salle - Ramon Llull University – Barcelona


Professor Dr. Kristin Paetzold

Universität der bundeswehr münchen


Journal paper(s)

  • Noori, N. S., & Weber, C. (2016). Dynamics of coordination-clusters in long-term rehabilitation. Journal of Humanitarian Logistics and Supply Chain Management, 6(3), 296-328.

  • Weiss, M., Sari, S., & Noori, N. (2013). Niche formation in the mashup ecosystem. Technology Innovation Management Review, 3(5). http://timreview.ca/article/683

  • Noori, N., & Weiss, M. (2013). Going Open: Does it Mean Giving Away Control? Technology Innovation Management Review, 3(1), 27. https://timreview.ca/article/647

Conference paper(s)

  • Noori, N. S., Wang, Y., Comes, T., Schwarz, P., & Lukosch, H. (2017). Behind the Scenes of Scenario-Based Training: Understanding Scenario Design and Requirements in High-Risk and Uncertain Environments. Information Systems for Crisis Response and Management Conference Proceeding (ISCRAM) 2017.

  • Noori, N. S., Wolbers, J., Boersma, K., & Vilasís-Cardona, X. (2016). A Dynamic Perspective of Emerging Coordination Clusters in Crisis Response Networks. In Information Systems for Crisis Response and Management Conference Proceeding (ISCRAM) 2016, Rio de Janiero, Brazil.

  • Chahin A., Hoffmeister J., Paetzold K., Noori N., Vilasis Cardona X (2016). A Practical Approach To Structure The Product Development Process Using Network Theory. Proceedings of the DESIGN 2016 14th International Design Conference. Orlando, USA. DS 84

  • Noori, N. S., Paetzold, K., & Vilasis-Cardona, X. (2016, April). Network based discrete event analysis for coordination processes in crisis response operations. In Systems Conference (SysCon), 2016 Annual IEEE (pp. 1-5). IEEE.

  • Sabou, J., Noori, N., Husch, J. (2015).Recognizing Competitive Cultures: A case for describing the complexity of coordination between dynamic crisis response actors. Information Systems for Crisis Response and Management Conference Proceeding (ISCRAM) 2015, Kristiansand, Norway.

  • Noori, N. & Miralles, F. (2014). The role of C2 Centers in Facilitating Coordination in Emergency Response Networks. Poster paper, Proceedings of the 11th International ISCRAM Conference –University Park, Pennsylvania, USA, May 2014.

  • Noori, N., & Weiss, M. (2012). Managing the quality of platforms complements: the case of extensions in open source software platforms. International Society of Professional Innovation Management (ISPIM) Conference proceedings. Barcelona, Spain, 2012.

  • Noori, N., & Weiss, M. (2009). Managing the quality of platform extensions. Presented at the 3rd FLOSS International Workshop on Free / Libre Open Source Software, Padua, Italy, 2009.

Book chapter(s)

  • Noori, N. S., Paetzold, K., & Vilasis-Cardona, X. (2017). Coordination in Crisis Response Networks: Empirical Results of Applying Coordination Theory and Complex Networks Analysis. In Ortt, R.; Klein, S.; Bucker, C. (Eds.)) Handbook on Networks in Innovation and Crisis Management: Theory and Practice in a Dynamic and Disruptive Environment, Vol. 3: Decision Making and Logistics in Dynamic Networked Situations. NiTiM Graduate School.

Academic Activities

  • Co-chair and corresponding chair (May 2015), Collaboration and Network Theory Track, Conference Track – 12thISCRAM Conference in Kristiansand, Norway.

  • Out-going chair (November 2014), NiTiM Winter 2014 Doctoral School – The Hague

  • Organizing chair (June 2014), NiTiM Summer 2014 Doctoral School – Bergamo, Italy

  • Incoming chair (December 2013), NiTiM Winter 2013 Doctoral School – Milan, Italy

  • ISCRAM member.


EU Projects

H2020: iTRACK - integrated system for real-time TRACKing and collective intelligence in civilian humanitarian missions - http://www.itrack-project.eu/ 

FP7: NITIMesr: A Networked and IT-enabled Firm's Perspective on Crisis Management.  ITN- Marie Skłodowska-Curie Actions - http://www.nitim.org/Home

Research Groups

Centre for Integrated Emergency Management (CIEM) - http://ciem.uia.no/

Netowrks, Information, Technology, and Innovation Management (NiTiM) - http://www.nitim.org/Home

Innova Institute - LaSalle URL - Barcelona Campus, Spain. http://www.salleurl.edu/en/research/groups-institutes/innova-institute

Research group on Electronics, Telecommunications and Data Analysis - GR-SETAD, laSalle URL - Barcelona Campus, Spain.

Vitenskapelige publikasjoner

  • Birkeland, Simen; Fjeldvik, Lin Julie; Noori, Nadia Saad; Yeduri, Sreenivasa Reddy; Cenkeramaddi, Linga Reddy (2024). Video based hand gesture recognition dataset using thermal camera. Data in Brief. ISSN: 2352-3409. doi:https://doi.org/10.1016/j.dib.2024.110299.
  • Andreassen, Jarl; Eileraas, Martin; Herrera, Lucia Castro; Noori, Nadia Saad (2023). InCReASE: A dynamic framework towards enhancing situational awareness in cyber incidence response. Information Technology in Disaster Risk Reduction. ISBN: 978-3-031-34207-3. Springer. Conference paper. s 230 - 243.
  • Evensen, Vetle Nesland; Henriksen, Gabriel Bergman; Melhus, Sondre; Olsen, Ole Steine; Haugen, Kristina; Dolmen, Dag; Wiklund, Arne; Andersen, Per-Arne; Goodwin, Morten; Korslund, Lars; Noori, Nadia Saad (2023). ReFrogID: Pattern Recognition for Pool Frog Identification Using Deep Learning and Feature Matching. Lecture Notes in Computer Science (LNCS). ISSN: 0302-9743. 14381s 365 - 376. doi:10.1007/978-3-031-47994-6_33.
  • Noori, Nadia; Shanbhag, Vignesh Vishnudas; Kandukuri, Surya Teja; Schlanbusch, Rune (2022). Data Driven Seal Wear Classifications using Acoustic Emissions and Artificial Neural Networks. Proceedings of the European Conference of the Prognostics and Health Management Society (PHME). ISSN: 2325-016X. 7 (1). s 368 - 375. doi:10.36001/phme.2022.v7i1.3327.
  • Anderson, Abraham; Olafarson, Einar Julius; Andersen, Per-Arne; Noori, Nadia Saad (2022). The ODeLIndA Dataset for Field-of-View Obstruction Detection Using Transfer Learning for Real-Time Industrial Applications. Artificial Intelligence XXXIX 42nd SGAI International Conference on Artificial Intelligence, AI 2022. ISBN: 978-3-031-21441-7. Springer. Chapter. s 197 - 210.
  • Imenes, Anne Gerd; Noori, Nadia Saad; Uthaug, Ole Andreas Nesvåg; Kröni, Robert; Bianchi, Filippo Maria; Belbachir, Nabil (2021). A Deep Learning Approach for Automated Fault Detection on Solar Modules Using Image Composites. 2021 IEEE 48th Photovoltaic Specialists Conference (PVSC). ISBN: 978-1-6654-1922-2. IEEE conference proceedings. KAPITTEL.
  • Kandukuri, Surya Teja; Shanbhag, Vignesh Vishnudas; Meyer, Thomas; Caspers, Leo; Noori, Nadia; Schlanbusch, Rune (2021). Automated and Rapid Seal Wear Classification Based on Acoustic Emission and Support Vector Machine. Proceedings of the European Conference of the Prognostics and Health Management Society (PHME). ISSN: 2325-016X. 6 (1). s 203 - 210. doi:10.36001/phme.2021.v6i1.2942.
  • Salvi, Andrea; Spagnoletti, Paolo; Noori, Nadia (2021). Cyber-resilience of Critical Cyber Infrastructures: integrating digital twins in the electric power ecosystem.. Computers & Security. ISSN: 0167-4048. doi:10.1016/j.cose.2021.102507.
  • Radianti, Jaziar; Dokas, Ioannis; Boersma, Kees; Noori, Nadia Saad; Belbachir, Nabil; Stieglitz, Stefan (2019). Enhancing Disaster Response for Hazardous Materials Using Emerging Technologies: The Role of AI and a Research Agenda. Communications in Computer and Information Science (CCIS). ISSN: 1865-0929. 1000s 368 - 376. doi:10.1007/978-3-030-20257-6_31.
  • Lazreg, Mehdi Ben; Noori, Nadia Saad; Comes, Tina; Goodwin, Morten (2019). Not a Target. A Deep Learning Approach for a Warning and Decision Support System to Improve Safety and Security of Humanitarian Aid Workers. 2019 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2019). ISBN: 978-1-4503-6934-3. Association for Computing Machinery (ACM). chapter. s 378 - 382.
  • Aboughonim, Ahmed Abdeltawab Abdelgawad S.; Noori, Nadia Saad; Comes, Tina (2018). Automated Scenario Generation for Training of Humanitarian Responders in High-Risk Settings. International Journal of Simulation. Systems, Science and Technology. ISSN: 1473-8031. 19 (5). s 23.1 - 23.9. doi:10.5013/IJSSST.a.19.05.23.
  • Lanfranchi, Vitaveska; Noori, Nadia Saad; Sirbu, T (2018). GPS-based solution for tracking and protecting humanitarians in conflict zones. Proceedings of the International ISCRAM Conference. ISSN: 2411-3387. 2018-Mays 334 - 349.
  • Noori, Nadia Saad (2018). Modeling the escalation/de-escalation of response operation levels in disaster response networks using hierarchical Colored Petri Nets (CPN) approach. 2018 Annual IEEE International Systems Conference (SysCon). ISBN: 978-1-5386-3664-0. IEEE conference proceedings. chapter. s 50 - 58.
  • Noori, Nadia; Wang, Yan; Comes, Tina; Schwarz, Philipp; Lukosch, Heide (2017). Behind the scenes of scenario-based training: Understanding scenario design and requirements in high-risk and uncertain environments. Proceedings of the International ISCRAM Conference. ISSN: 2411-3387. 2017-Mays 948 - 959.
  • Imenes, Anne Gerd; Noori, Nadia Saad; Uthaug, Ole Andreas Nesvåg; Kröni, Robert; Bianchi, Filippo Maria; Belbachir, Nabil (2021). A Deep Learning Approach for Automated Fault Detection on Solar Modules Using Image Composites.

Sist endret: 10.11.2021 16:11