Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 7 Affordable and Clean Energy -
SDG 10 Reduced Inequalities
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Collaborations and top research areas from the last five years
Projects
- 3 Finished
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SPX: SOPHIA: Support for Opportunistic Parallelism with Heterogeneous Intermittently-powered Accelerators
Sampson, J. M. (PI), Narayanan, V. (CoPI) & Kandemir, M. (CoPI)
10/1/18 → 6/30/24
Project: Research project
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E2CDA: Type II: 2D Electrostrictive FETs for Ultra-Low Power Circuits and Architectures
Das, S. (PI), Sampson, J. M. (CoPI) & Gupta, S. K. (CoPI)
10/1/16 → 9/30/20
Project: Research project
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SHF: Medium: ASKS - Architecture Support for darK Silicon
Xie, Y. (PI), Irwin, M. J. (CoPI) & Sampson, J. M. (CoPI)
8/1/14 → 12/31/14
Project: Research project
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Disharmony: Forensics Using Reverse Lighting Harmonization
Shin, P. W., Sampson, J., Narayanan, V., Marquez, A. & Halappanavar, M., 2025, Proceedings - 2025 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, WACVW 2025. Institute of Electrical and Electronics Engineers Inc., p. 708-717 10 p. (Proceedings - 2025 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, WACVW 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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GRASP: Dynamic and Priority-Aware Gradient Sparsification for Efficient Online Learning
Swaminathan, B. & Sampson, J., Nov 26 2025, p. 65-73. 9 p.Research output: Contribution to conference › Paper › peer-review
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MLAM: A Machine Learning-Aided Architectural Bottleneck Analysis Model for x86 Architectures
Ryoo, J., Gudukbay Akbulut, G., Jiang, H., Tang, X., Akbulut, S., Sampson, J., Narayanan, V. & Taylan Kandemir, M., Aug 27 2025, In: Performance Evaluation Review. 53, 2, p. 145-152 8 p.Research output: Contribution to journal › Article › peer-review
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NEXUME: ADAPTIVE TRAINING AND INFERENCE FOR DNNS UNDER INTERMITTENT POWER ENVIRONMENTS
Mishra, C. S., Chaudhary, D., Sampson, J., Knademir, M. T. & Das, C., 2025, 13th International Conference on Learning Representations, ICLR 2025. International Conference on Learning Representations, ICLR, p. 77332-77362 31 p. (13th International Conference on Learning Representations, ICLR 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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SoK: Challenges and Paths Toward Memory Safety for eBPF
Huang, K., Payer, M., Qian, Z., Sampson, J., Tan, G. & Jaeger, T. R., 2025, Proceedings - 46th IEEE Symposium on Security and Privacy, SP 2025. Blanton, M., Enck, W. & Nita-Rotaru, C. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 848-866 19 p. (Proceedings - IEEE Symposium on Security and Privacy).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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