Projects per year
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Dive into the research topics where Niraj Kumar Jha is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Projects
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CNS Core: Small: Ultra-Efficient Neural Network and LSTM Architectures
NSF - National Science Foundation
10/1/19 → 9/30/22
Project: Research project
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SHF: Small: Extremely Energy-Efficient Monolithic 3D System Architectures
NSF - National Science Foundation
7/1/18 → 6/30/21
Project: Research project
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SHF: Small: Exploration of the Transistor-level Monolithic 3D SRAM Design Space
NSF - National Science Foundation
9/1/17 → 8/31/21
Project: Research project
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TWC: Small: Physiological Information Leakage: A New Front on Health Information Security
NSF - National Science Foundation
10/1/16 → 9/30/20
Project: Research project
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CSR: Small: Energy-efficient Embedded Signal-processing Inference Systems
NSF - National Science Foundation
10/1/16 → 9/30/20
Project: Research project
Research output
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Fully Dynamic Inference with Deep Neural Networks
Xia, W., Yin, H., Dai, X. & Jha, N. K., 2021, (Accepted/In press) In: IEEE Transactions on Emerging Topics in Computing.Research output: Contribution to journal › Article › peer-review
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SECRET: Semantically Enhanced Classification of Real-World Tasks
Akmandor, A. O., Ortiz, J., Manotas, I., Ko, B. & Jha, N. K., Mar 1 2021, In: IEEE Transactions on Computers. 70, 3, p. 440-456 17 p., 9076254.Research output: Contribution to journal › Article › peer-review
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SHARKS: Smart Hacking Approaches for RisK Scanning in Internet-of-Things and Cyber-Physical Systems based on Machine learning
Saha, T., Aaraj, N., Ajjarapu, N. & Jha, N. K., 2021, (Accepted/In press) In: IEEE Transactions on Emerging Topics in Computing.Research output: Contribution to journal › Article › peer-review
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Software-Defined Design Space Exploration for an Efficient DNN Accelerator Architecture
Yu, Y., Li, Y., Che, S., Jha, N. K. & Zhang, W., Jan 1 2021, In: IEEE Transactions on Computers. 70, 1, p. 45-56 12 p., 9072480.Research output: Contribution to journal › Article › peer-review
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Dreaming to distill: Data-free knowledge transfer via deepinversion
Yin, H., Molchanov, P., Alvarez, J. M., Li, Z., Mallya, A., Hoiem, D., Jha, N. K. & Kautz, J., 2020, In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. p. 8712-8721 10 p., 9156864.Research output: Contribution to journal › Conference article › peer-review
4 Scopus citations