Surya Selvam
Computer Science · Purdue University West Lafayette
Publications
12
Citations
24
Est. group size
~1
Recurring co-author estimate
Active years
6
Publishing since 2020
Surya Selvam's work focuses on making neural network and computer vision systems run more efficiently on hardware, especially edge devices and specialized chips like systolic arrays and heterogeneous system-on-chips (SoCs). This includes designing faster convolution methods, caching techniques for vision-language models, and tools for estimating power and performance of deep learning models on real hardware. Some earlier publications also touch on unrelated topics like nanomaterials and biosurfactants, likely from coursework or collaborations outside the main research focus.
Publication output has been modest but fairly steady over the past five years, averaging about 1.6 papers per year with a slight uptick in 2024-2025 after no output in 2023.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- SimCache: Similarity Caching for Efficient VLM-based Scene Understanding
2025
- ML-Enhanced Performance and Power Estimation for DNNs on Heterogenous SoCs
2025
- Efficient Batched Inference in Conditional Neural Networks
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems · 2024
- Ev-Edge: Efficient Execution of Event-based Vision Algorithms on Commodity Edge Platforms
2024
- Hetero Atom Doped Carbon Nanomaterials for Biological Applications
Advances in material research and technology · 2022
- Biosurfactant as biostimulant: Factors responsible for plant growth promotions
Elsevier eBooks · 2022
- Contributors
Elsevier eBooks · 2022
- Image Compression Techniques Using Linear Algebra with SVD Algorithm
Asian Journal of Engineering and Applied Technology · 2021
- FuSeConv: Fully Separable Convolutions for Fast Inference on Systolic Arrays
2021
- FuSeConv: Fully Separable Convolutions for Fast Inference on Systolic\n Arrays
arXiv (Cornell University) · 2021
- A Case for Generalizable DNN Cost Models for Mobile Devices
2020
- Elsevier eBooks×2
- arXiv (Cornell University)×2
- IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems×1
- Advances in material research and technology×1
- Asian Journal of Engineering and Applied Technology×1
- Isha Garg
Computer Science · Purdue University West Lafayette
- Sarada Krithivasan
Computer Science · Purdue University West Lafayette
- Cheng Chu
Computer Science · Indiana University
- Arghadip Das
Computer Science · Purdue University West Lafayette
- Jianyang Gu
Computer Science · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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