Projects per year
Overview
Education/Academic qualification
Eng-Computer, Doctorate Degree
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Dive into the research topics where Robert Patton is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Researcher collaborations from the last five years
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Projects
- 1 Active
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ENGAGE: Energy-efficient Novel Algorithms and Architectures for Graph Learning
Potok, T. (PI), Guojing, C. C. (CoPI), Patton, R. (CoPI), Kannan, R. {. (CoPI), Gunaratne, C. (CoPI), Date, P. (CoPI), Coletti, M. (CoPI), Gautam, A. (CoPI), Lim, S.-H. (CoPI), Bose, A. (CoPI), Schuman, C. (CoPI) & Parsa, M. (CoPI)
Advanced Scientific Computing Research
09/1/24 → 08/31/27
Project: Research
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AI-Powered Knowledge Graphs for Neuromorphic and Energy-Efficient Computing
Gautam, A., Patton, R., Potok, T., Kannan, R. {., Aimone, J. & Severa, W., Jun 29 2025, GLSVLSI 2025 - Proceedings of the Great Lakes Symposium on VLSI 2025. Association for Computing Machinery, p. 996-1001 6 p. (Proceedings of the ACM Great Lakes Symposium on VLSI, GLSVLSI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
Automating Data Extraction From Scientific Literature and General PDF Files Using Large Language Models and KNIME: An Application in Toxicology
Moreira-Filho, J. T., Ranganath, D., Tieghi, R. S., Patton, R., Sutherland, V., Schmitt, C., Rooney, A. A., Fostel, J., Walker, V. R., Saddler, T., Reif, D., Mansouri, K. & Kleinstreuer, N., Sep 1 2025, In: Wiley Interdisciplinary Reviews: Computational Molecular Science. 15, 5, e70047.Research output: Contribution to journal › Article › peer-review
Open Access -
A Suppression-based STDP Rule Resilient to Jitter Noise in Spike Patterns for Neuromorphic Computing
Gautam, A., Kohno, T., Date, P., Patton, R. & Potok, T., 2024, Proceedings - 2024 International Conference on Neuromorphic Systems, ICONS 2024. Institute of Electrical and Electronics Engineers Inc., p. 209-216 8 p. (Proceedings - 2024 International Conference on Neuromorphic Systems, ICONS 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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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 Access -
Research Collaboration Analysis Using Text and Graph Features
Herrmannova, D., Knoth, P., Stahl, C., Patton, R. & Wells, J., 2023, Computational Linguistics and Intelligent Text Processing - 19th International Conference, CICLing 2018, Revised Selected Papers. Gelbukh, A. (ed.). Springer Science and Business Media Deutschland GmbH, p. 431-441 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13397 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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
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2022 R&D 100 Award for Gremlin: Adversarial Discovery of Weaknesses in Machine Learners
Coletti, M. (Recipient), Patton, R. (Recipient) & Haas, Q. (Recipient), 2022
Prize: Honorary award
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2023 R&D 100 Award for SuperNeuro: An Accelerated Neuromorphic Computing Simulator
Date, P. (Recipient), Kulkarni, S. (Recipient), Gunaratne, C. (Recipient), Patton, R. (Recipient), Coletti, M. (Recipient) & Potok, T. (Recipient), 2023
Prize: Honorary award
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2024 R&D 100 Award for MAQ: Machine Learning on Adiabatic Quantum Computers
Date, P. (Recipient), Hamilton, K. (Recipient), Patton, R. (Recipient), Humble, T. (Recipient) & Potok, T. (Recipient), 2024
Prize: Honorary award