Irida Shallari
Universitetslektor|Lecturer
- Professional title: Lecturer
- Telephone: +46 (0)10-1428350
- Email: irida.shallari@miun.se
- Room number: S224
- Location: Sundsvall
- Employee in the subject: Electronics, Electrical Engineering
- STC Research Centre
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Research centers:
Publications
Articles in journals
Conference papers
Doctoral theses, comprehensive summaries
Licentiate theses, comprehensive summaries
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
Gallo, V. , Shallari, I. , Carratu, M.
&
O'Nils, M. (2023). Metrological Characterization of a Clip Fastener assembly fault detection system based on Deep Learning.
In
2023 IEEE International Instrumentation and Measurement Technology Conference (I2MTC).
Saqib, E. , Sánchez Leal, I. , Shallari, I. , Jantsch, A. , Krug, S.
&
O'Nils, M. (2023). Optimizing the IoT Performance : A Case Study on Pruning a Distributed CNN.
In
2023 IEEE Sensors Applications Symposium (SAS).
Sánchez Leal, I. , Saqib, E. , Shallari, I. , Jantsch, A. , Krug, S.
&
O'Nils, M. (2023). Waist Tightening of CNNs : A Case study on Tiny YOLOv3 for Distributed IoT Implementations.
In
ACM International Conference Proceeding Series.. pp. 241--246.
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
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)