1. Duvindu Piyasena, Siew-Kei Lam and Meiqing Wu, “Accelerating Continual Learning on Edge FPGA”, Field Programmable Logic and Applications (FPL), August 2021 (Accepted)
  2. Duvindu Piyasena, Siew-Kei Lam and Meiqing Wu, “Edge Accelerator for Lifelong Deep Learning using Streaming Linear Discriminant Analysis”, 29th IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM), May 2021 (Poster) (DOI : 10.1109/FCCM51124.2021.00046)
  3. Duvindu Piyasena, Miyuru Thathsara, Sathursan Kanagarajah, Siew Kei Lam and Meiqing Wu, “Dynamically Growing Neural Network Architecture for Lifelong Deep Learning on the Edge”, Field Programmable Logic and Applications (FPL), August 2020 [Accepted].(DOI: 10.1109/FPL50879.2020.00051)
  4. Bae, Heechul, et al. “Iros 2019 lifelong robotic vision: Object recognition challenge [competitions].” IEEE Robotics & Automation Magazine 27.2 (2020): 11-16. (DOI: 10.1109/MRA.2020.2987186)
  5. Duvindu Piyasena, Rukshan Wickramasinghe, Debdeep Paul, Siew Kei Lam and Meiqing Wu, “Reducing Dynamic Power in Streaming CNN Hardware Accelerators by Exploiting Computational Redundancies”, Field Programmable Logic and Applications (FPL), September 2019 [Barcelona, Spain] (DOI : 10.1109/FPL.2019.00063)
  6. Duvindu Piyasena, Rukshan Wickramasinghe, Debdeep Paul, Siew Kei Lam and Meiqing Wu, “Lowering Dynamic Power of a Stream-based CNN Hardware Accelerator”, IEEE 21st International Workshop on Multimedia Signal Processing (MMSP), September 2019 [Kuala Lumpur, Malaysia] (DOI : 10.1109/MMSP.2019.8901777)
  7. Dakila Serasinghe, Duvindu Piyasena, Ajith Pasqual, “A Novel Low-Complexity VLSI Architecture for an EEG Feature Extraction Platform”. Euromicro DSD 2018 [Prague, Czech Republic] (DOI: 10.1109/DSD.2018.00084)