Simon Elias Bibri

PhD Scholar—Data–Driven Smart Sustainable Cities of the Future—and Academic Author

Department of Computer Science Faculty of Information Technology and Electrical Engineering

Background and activities

 

Simon Elias Bibri is a Ph.D scholar in the area of data–driven smart sustainable cities of the future and Assistant Professor at the Norwegian University of Science and Technology (NTNU), Department of Computer Science and Department of Architecture and Planning, Trondheim, Norway. His true passion for academic and lifelong learning, coupled with his natural thirst for interdisciplinary and transdisciplinary knowledge, has led him to wittingly pursue an unusual academic journey by embarking on studying a diverse range of subject areas—at the intersection of computer science, data science, urban science, environmental science, and the social and human sciences. His intellectual pursuits and endeavors have resulted in an educational background encompassing knowledge from, and meta–knowledge about, different academic and scientific disciplines. He holds the following degrees:

 

  • Bachelor of Science in computer engineering with a major in software development and computer networks
  • Master of Science–research focused–in computer science with a major in Ambient Intelligence
  • Master of Science in computer science with a major in informatics
  • Master of Science in computer and systems sciences with a major in decision support and risk analysis
  • Master of Science in entrepreneurship and innovation with a major in new venture creation
  • Master of Science in strategic leadership toward sustainability
  • Master of Science in sustainable urban development
  • Master of Science in environmental science with a major in ecotechnology and sustainable development
  • Master of Social Science with a major in business administration (MBA)
  • Master of Arts in communication and media for social change
  • Postgraduate degree (one year  of Master courses) in management and economics
  • PhD in computer science and urban planning with a major in data–driven smart sustainable cities

Bibri has earned all his Master’s degrees from different Swedish universities, namely Lund University, West University, Blekinge Institute of Technology, Malmö University, Stockholm University, and Mid–Sweden University.

 

Before embarking on his long academic journey, Bibri had served as an ICT and sustainability strategist, IT business engineer, project manager, researcher, and consultant. Over the past years and in parallel with his academic studies, he has been involved in a number of research and consulting projects pertaining to smart sustainable cities, smart cities, sustainable cities, green innovation, sustainable business model innovation, and green ICT strategies.

 

Bibri's current research interests include smart sustainable cities, sustainable cities, smart cities, urban science, urban analytics, sustainability science, complexity science, data–intensive science, data–driven and scientific urbanism, as well as big data computing and its core enabling and driving technologies, namely sensor technologies, data processing platforms, big data applications, cloud and fog computing infrastructures, and wireless communication networks.

 

Bibri has a genuine interest in interdisciplinary and transdisciplinary research. Given his multidisciplinary academic background, his general research interests fall within the following areas:

 

  • ICT of ubiquitous computing (i.e., Ambient Intelligence, the IoT, and Sentient Computing)
  • Big data science and analytics 
  • Data–driven smart sustainable urbanism
  • Sustainable cities (e.g., compact city, eco–city,  green city, environmental city, symbiocity, etc.)
  • Smart cities (e.g., real–time city, data–driven city, ambient city, ubiquitous city, sentient city, etc.)
  • Strategic environmental innovations
  • Sustainability transitions and socio–technical shifts
  • Philosophy of science and scientific and epistemological paradigm shifts
  • Science, technology, and society (STS) 
  • Technological innovation systems
  • Sustainable business model innovation
  • Industrial ecology (industrial symbiosis and eco-indusrial parks)
  • Technology,  innovation, and environment policies

Bibri has authored four academic books whose titles are as follows:

 

1. The Human Face of Ambient Intelligence: Cognitive, Emotional, Affective, Behavioral and Conversational Aspects (525 pages), Springer, 07/2015.

2. The Shaping of Ambient Intelligence and the Internet of Things: Historico–epistemic, Socio–cultural, Politico–institutional and Eco–environmental Dimensions (301 pages), Springer, 11/2015.

3. Smart Sustainable Cities of the Future: The Untapped Potential of Big Data Analytics and Context–Aware Computing for Advancing Sustainability (660 pages), Springer, 03/2018.

4. Big Data Science and Analytics for Smart Sustainable Urbanism: Unprecedented Paradigmatic Shifts and Practical Advancements (505 pages), Springer, 06/2019.

 

 

Scientific, academic and artistic work

A selection of recent journal publications, artistic productions, books, including book and report excerpts. See all publications in the database

Journal publications

Books

  • Bibri, Simon Elias. (2019) Big Data Science and Analytics for Smart Sustainable Urbanism: Unprecedented Paradigmatic Shifts and Practical Advancements. Springer. 2019. ISBN 978-3-030-17312-8.
  • Bibri, Simon Elias. (2018) Smart Sustainable Cities of the Future: The Untapped Potential of Big Data Analytics and Context–Aware Computing for Advancing Sustainability. Springer Publishing Company. 2018. ISBN 978-3-319-73980-9. Urban Book Series.
  • Bibri, Simon Elias. (2015) The Human Face of Ambient Intelligence: Cognitive, Emotional, Affective, Behavioral and Conversational Aspects. Springer. 2015. ISBN 978-94-6239-130-7.
  • Bibri, Simon Elias. (2015) The Shaping of Ambient Intelligence and the Internet of Things: Historico–epistemic, Socio–cultural, Politico–institutional and Eco–environmental Dimensions. Springer. 2015. ISBN 978-94-6239-142-0.