Pouya Houshmand

META Health — United States

Computer Science · Physical Sciences

8h-index381citations20works1.72yr avg
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Research Topics

Parallel Computing and Optimization Techniques(9), Advanced Memory and Neural Computing(9), Advanced Neural Network Applications(5), CCD and CMOS Imaging Sensors(5), Ferroelectric and Negative Capacitance Devices(4)

Publications20 total

Harnessing Memory Technology Innovations for On-Device Large Language Models in Augmented Reality SoCs: Cooptimizing system architecture with model characteristics
IEEE Solid-State Circuits Magazine·2025
Natural cross-reactive anti-SARS-CoV-2 antibodies in avian egg yolk
Journal of Immunological Methods·2024· 1 cited
Stream: Design Space Exploration of Layer-Fused DNNs on Heterogeneous Dataflow Accelerators
IEEE Transactions on Computers·2024· 6 citedOpen Access
Pack my weights and run! Minimizing overheads for in-memory computing accelerators
arXiv (Cornell University)·2024Open Access
High-Rate. Compact In-Sensor Denoising for Active Stereo Vision Towards Embedded Depth Sensing
2024
Enabling Efficient Hardware Acceleration of Hybrid Vision Transformer (ViT) Networks at the Edge
2024· 3 citedOpen Access
One-pot rapid visual detection of E. coli O157:H7 by label-free AuNP-based plasmonic-aptasensor in water sample
Journal of Microbiological Methods·2023· 8 cited
Analog or Digital In-Memory Computing? Benchmarking Through Quantitative Modeling
2023· 23 citedOpen Access
A 16nm 128kB high-density fully digital In Memory Compute macro with reverse SRAM pre-charge achieving 0.36TOPs/mm<sup>2</sup>, 256kB/mm<sup>2</sup> and 23. 8TOPs/W
2023· 1 citedOpen Access
Benchmarking and modeling of analog and digital SRAM in-memory computing architectures
arXiv (Cornell University)·2023· 6 citedOpen Access
Stream: A Modeling Framework for Fine-grained Layer Fusion on Multi-core DNN Accelerators
2023· 9 cited
Stream: Design Space Exploration of Layer-Fused DNNs on Heterogeneous Dataflow Accelerators
arXiv (Cornell University)·2022· 6 citedOpen Access
DIANA: An End-to-End Hybrid DIgital and ANAlog Neural Network SoC for the Edge
IEEE Journal of Solid-State Circuits·2022· 56 cited
Clinical and Paraclinical Characteristics of COVID-19 patients: A Systematic Review and Meta-Analysis
Tabari Biomedical Student Research Journal·2022· 6 cited
DIANA: An End-to-End Energy-Efficient Digital and ANAlog Hybrid Neural Network SoC
2022 IEEE International Solid- State Circuits Conference (ISSCC)·2022· 77 cited
Hardware-Efficient Residual Neural Network Execution in Line-Buffer Depth-First Processing
IEEE Journal on Emerging and Selected Topics in Circuits and Systems·2021· 11 cited
ZigZag: Enlarging Joint Architecture-Mapping Design Space Exploration for DNN Accelerators
IEEE Transactions on Computers·2021· 129 cited
Opportunities and Limitations of Emerging Analog in-Memory Compute DNN Architectures
2020· 25 citedOpen Access
ZigZag: A Memory-Centric Rapid DNN Accelerator Design Space Exploration Framework
arXiv (Cornell University)·2020· 14 citedOpen Access
Anomaly detection via low power on-chip machine learning
2019

Frequent Co-authors

Marian Verhelst(15), Linyan Mei(7), Vikram Jain(5), Ioannis A. Papistas(3), Man Shi(3), Debjyoti Bhattacharjee(3), Arindam Mallik(3), Peter Debacker(3), Diederik Verkest(3), Arne Symons(3), Steven Colleman(3), Susmita Kar(3), Juan Sebastian Piedrahita Giraldo(2), Kodai Ueyoshi(2), Giuseppe Maria Sarda(2), Qilin Zheng(2), Stefan Cosemans(2), Jiacong Sun(2), Sebastián Giraldo(1), Peter Vrancx(1)