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Two Student Papers Presented at IEEE MCSoC 2025 in Singapore

We are pleased to announce that two papers authored by our students were presented at the 18th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC 2025), held from December 15–18, 2025, in Singapore.


1. FSPC: Spike Compression Through Correlated-AER Merging in Spiking Neural Networks

Authors: Satvik Ganesh, Hanyu Yuga, Zhishang Wang, and Khanh N. Dang

This paper introduces FSPC, a novel method for compressing spike traffic in spiking neural networks by exploiting correlations in Address-Event Representation (AER) streams.

Mr. Satvik Ganesh, a 4th-year undergraduate student, presented this work at the conference. He did an excellent job contributing to the research and delivering a clear and confident presentation.

2. Evolutionary Algorithm for STDP-based Spiking Neural Network Model Compression

Authors: Hanyu Yuga, Zhishang Wang, and Khanh N. Dang

This paper proposes an energy-efficient model compression approach for Spiking Neural Networks using an evolutionary algorithm combined with STDP-based learning. The work focuses on reducing computational and energy overhead while preserving learning capability, making it well suited for low-power neuromorphic computing applications.

Hanyu Yuga さん, a 1st-year master’s student, presented this paper. This marks his second IEEE conference paper and presentation, highlighting his rapid progress, growing expertise, and strong commitment to neuromorphic computing research. We look forward to his continued contributions in the future.

We are incredibly proud of Hanyu Yuga さん and Mr. Satvik Ganesh for their hard work, dedication, and excellent representation of our research at MCSoC 2025.

  • Here is Hanyu Yuga さん’s β€œmoment” when he presented his paper on-site:

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  • Here is Mr. Satvik Ganesh’s β€œmoment”. He attends the conference online so we share the video of his talk here:


A big thank you to everyone involved for their support and collaboration. It is this collective effort that makes such achievements possible.