Eiraj Saqib

Doktorand|Doctoral Student

  • Professional title: Doctoral Student
  • Academic title: Doctoral Student
  • Telephone: +46 (0)10-1428741
  • Email: eiraj.saqib@miun.se
  • Room number: S208
  • Location: Sundsvall
    • Employed at the subject:
    • Electronics

Publications

Articles in journals

Berg, O. A. B. , Saqib, E. , Jantsch, A. , Shallari, I. , Krug, S. , Sánchez Leal, I. & O'Nils, M. (2025). TCL : Time-dependent Clustering Loss for Optimizing Post-Training Feature Map Quantization for Partitioned DNNs. IEEE Access, vol. 13, pp. 103640-103648.    

Conference papers

Berg, O. A. B. , Saqib, E. , Jantsch, A. , O'Nils, M. , Krug, S. , Shallari, I. & Sánchez Leal, I. (2025). Efficient Inference of parallel partitioned hybrid-Vision Transformers. In 2025 CYBER-PHYSICAL SYSTEMS AND INTERNET-OF-THINGS WEEK, CPS-IOT WEEK WORKSHOPS.  

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.  

The page was updated 6/23/2022