Irida Shallari


  • Professional title: Lecturer
  • Department: Department of Computer and Electrical Engineering (DET)
  • Telephone: +46 (0)10-1428350
  • Email:
  • Room number: S224
  • Location: Sundsvall
  • Research centers: Sensible Things that Communicate
  • Employee in the subject: Electronics, Electrical Engineering

Research projects


Embedded Deep Learning Systems -EDGY


Articles in journals

Hussain, M. , O'Nils, M. , Lundgren, J. & Shallari, I. (2022). A Study on the Correlation between Change in the Geometrical Dimension of a Free-Falling Molten Glass Gob and Its Viscosity. Sensors, vol. 22: 2, pp. 661-661.    

Shallari, I. , Sánchez Leal, I. , Krug, S. , Jantsch, A. & O'Nils, M. (2021). Design space exploration for an IoT node : Trade-offs in processing and communication. IEEE Access, vol. 9, pp. 65078-65090.    

Sánchez Leal, I. , Shallari, I. , Krug, S. , Jantsch, A. & O'Nils, M. (2021). Impact of input data on intelligence partitioning decisions for IoT smart camera nodes. Electronics, vol. 10: 16    

Shallari, I. , Krug, S. & O'Nils, M. (2020). Communication and Computation Inter-Effects in People Counting Using Intelligence Partitioning. Journal of Real-Time Image Processing, vol. 17, pp. 1869-1882.    

Shallari, I. & O'Nils, M. (2019). From the Sensor to the Cloud : Intelligence Partitioning for Smart Camera Applications. Sensors, vol. 19: 23    

Conference papers

Shallari, I. , Gallo, V. , Carratu, M. , O'Nils, M. , Liguori, C. & Hussain, M. (2022). Image Scaling Effects on Deep Learning Based Applications. In 2022 IEEE International Symposium on Measurements & Networking (M&N).  

Hussain, M. , O'Nils, M. , Lundgren, J. , Carratú, M. & Shallari, I. (2022). Selection of optimal parameters to predict fuel consumption of city buses using data fusion. In 2022 IEEE Sensors Applications Symposium (SAS).  

Krug, S. , Shallari, I. & O'Nils, M. (2019). A Case Study on Energy Overhead of Different IoT Network Stacks. In 2019 IEEE 5th World Forum on Internet of Things (WF-IoT).. pp. 528--529.  

Shallari, I. , Krug, S. & O'Nils, M. (2018). Architectural evaluation of node : server partitioning for people counting. In ACM International Conference Proceeding Series. New York :  

Shallari, I. , Anwar, Q. , Imran, M. & O'Nils, M. (2017). Background Modelling, Analysis and Implementation for Thermographic Images. In PROCEEDINGS OF THE 2017 SEVENTH INTERNATIONAL CONFERENCE ON IMAGE PROCESSING THEORY, TOOLS AND APPLICATIONS (IPTA 2017).  

Shallari, I. , Imran, M. , Lawal, N. & O'Nils, M. (2017). Evaluating Pre-Processing Pipelines for Thermal-Visual Smart Camera. In Proceedings of the 11th International Conference on Distributed Smart Cameras.. pp. 95--100.  

Doctoral theses, comprehensive summaries

Shallari, I. (2021). Intelligence Partitioning for IoT : Design Space Exploration for a Data Intensive IoT Node. Dis. (Comprehensive summary) Sundsvall : Mid Sweden University, 2021 (Mid Sweden University doctoral thesis : 346)  

Licentiate theses, comprehensive summaries

Shallari, I. (2019). Intelligence Partitioning for IoT : Communication and Processing Inter-Effects for Smart Camera Implementation. Lic. (Comprehensive summary) Sundsvall : Mid Sweden University, 2019 (Mid Sweden University licentiate thesis : 152)

The page was updated 5/7/2021