Overview
Education/Academic qualification
Eng-Computer, Doctorate Degree
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Dive into the research topics where Steven Young is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Bridging the Gap from Research to Reality: Methods for Fortifying Mitigation Measures Against Adversarial AI
Brogan, J., Sadovnik, A., Bolme, D., Young, S., Daw, A. & Begoli, E., Jan 1 2026, Adversarial Example Detection and Mitigation Using Machine Learning. Springer Nature, p. 289-302 14 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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Deploying Adversarial Attacks in Super-Resolution Models
Reid, E., Sullivan, H., Barr, K. & Young, S., 2025, United StatesResearch output: Other contribution › Technical Report
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Efficacy of using a dynamic length representation vs. a fixed-length for neuroarchitecture search
Coleti, M., Gunaratne, C., Young, S., Varadarajan, S., Patton, R. & Potok, T., Jul 14 2024, GECCO 2024 Companion - Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, Inc, p. 1888-1894 7 p. (GECCO 2024 Companion - Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access1 Scopus citations -
Reinforcement learning applied to dilute combustion control for increased fuel efficiency
Maldonado, B. P., Kaul, B. C., Schuman, C. D. & Young, S. R., Jun 2024, In: International Journal of Engine Research. 25, 6, p. 1157-1173 17 p.Research output: Contribution to journal › Article › peer-review
Open Access5 Scopus citations -
Augmenting Graph Convolution with Distance Preserving Embedding for Improved Learning
Cong, G., Lim, S. H. & Young, S., 2022, Proceedings - 22nd IEEE International Conference on Data Mining Workshops, ICDMW 2022. Candan, K. S., Dinh, T. N., Thai, M. T. & Washio, T. (eds.). IEEE Computer Society, p. 23-30 8 p. (IEEE International Conference on Data Mining Workshops, ICDMW; vol. 2022-November).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access
Awards
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2018 R&D 100 Award for Multinode Evolutionary Neural Networks for Deep Learning (MENNDL)
Patton, R. (Recipient), Karnowski, T. (Recipient), Lim, S.-H. (Recipient), Potok, T. (Recipient), Rose, D. (Recipient) & Young, S. (Recipient), 2018
Prize: Honorary award