Scholar
Arghadip Das
Google Scholar ID: d3XoqSEAAAAJ
Purdue University
Energy-efficient edge AI
Approximate computing
AI accelerators
Signal processing
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Citations & Impact
All-time
Citations
12
H-index
1
i10-index
1
Publications
9
Co-authors
12
list available
Publications
5 items
KATANA: A Fast, Low-Power Mapping of Kalman Filters onto Edge NPUs for Real-Time Tracking
2026
Cited
0
MOSAIC: A Workload-Driven Simulation and Design-Space Exploration Framework for Heterogeneous NPUs
2026
Cited
0
BIDENT: Heterogeneous Operator-level Mapping for Efficient Edge Inference
2026
Cited
0
XAMBA: Enabling Efficient State Space Models on Resource-Constrained Neural Processing Units
2025
Cited
0
GraNNite: Enabling High-Performance Execution of Graph Neural Networks on Resource-Constrained Neural Processing Units
2025
Cited
0
Co-authors
8 total
Arnab Raha
Senior Research Scientist, NPU Advanced Architecture, Intel AI
Soumendu Kumar Ghosh
Deep Learning HW Engineer, Advanced Architecture Research, Intel Client AI
Vijay Raghunathan
Professor of Electrical and Computer Engineering, Purdue University
Shamik Kundu
Advanced Architecture Research, NPU, Intel AI
Deepak Mathaikutty
Principal AI Engineer
Souvik Kundu
Sr. Staff Research Scientist, Intel AI Group; Ph.D - USC; IEEE/ACM DAC under-40 Innovator
Sharath Nittur Sridhar
Research Scientist, Intel Corporation
Sumeet Gupta
School of Electrical and Computer Engineering, Purdue University
