Overview
Education/Academic qualification
Eng-Computer, Doctorate Degree
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- 1 Similar Profiles
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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Event-Driven Neuromorphic Accelerator (Caspian)
Mitchell, J. P., Young, A., Schuman, C., Patton, R. & Potok, T., 2026Research output: Non-textual form › Software
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Transplatformer: translating toxicogenomic profiles between generations of platforms
Cong, G., Patton, R., Chao, F., Svoboda, D. L., Erickson, J. N., Balik-Meisner, M. R., Mav, D., Phadke, D. P., Scholl, E. H., Shah, R. R. & Auerbach, S. S., Dec 2026, In: BMC Bioinformatics. 27, 1, 58.Research output: Contribution to journal › Article › peer-review
Open Access -
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 Access1 Scopus citations -
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 Access1 Scopus citations -
NeuroCoreX: Brain-Inspired Computing from Code to Circuit
Gautam, A., Date, P., Kulkarni, S., Patton, R. & Potok, T., 2025Research output: Non-textual form › Software
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