معرفی
Irida Shallari is a Lecturer in the Department of Computer and Electrical Engineering (DET) at Mid Sweden University, specializing in Intelligence Partitioning for IoT systems. Her research spans Deep Learning, Embedded Systems, and Data Fusion, with applications in Edge Computing, 6G, and Smart Agriculture.
- Education:
- Doctoral Thesis (2021): "Intelligence Partitioning for IoT : Design Space Exploration for a Data Intensive IoT Node" (Mid Sweden University)
- Licentiate Thesis (2019): "Intelligence Partitioning for IoT : Communication and Processing Inter-Effects for Smart Camera Implementation" (Mid Sweden University)
Her research focuses on optimizing IoT node architectures, balancing Communication vs. Computation trade-offs, and deploying Deep Learning in resource-constrained environments. Recent work includes Time-dependent Clustering for neural network quantization, ArUco Marker Calibration, and Generative AI in Education ethics.
The 15 most recent publications (2025-2024) highlight trends in Distributed CNN Optimization, Model Evaluation for industrial IoT, and cross-disciplinary applications in Environmental Monitoring and Academic Integrity. No scientific awards are explicitly mentioned in the provided text.