20092024

Research activity per year

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):

  • SDG 3 - Good Health and Well-being
  • SDG 7 - Affordable and Clean Energy

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Dive into the research topics where Jordan Malof is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years

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  • Machine Learning for Engineering Meta-Atoms with Tailored Multipolar Resonances

    Li, W., Barati Sedeh, H., Tsvetkov, D., Padilla, W. J., Ren, S., Malof, J. & Litchinitser, N. M., Jul 2024, In: Laser and Photonics Reviews. 18, 7, 2300855.

    Research output: Contribution to journalArticlepeer-review

    1 Scopus citations
  • Segment anything, from space?

    Ren, S., Luzi, F., Lahrichi, S., Kassaw, K., Collins, L. M., Bradbury, K. & Malof, J. M., Jan 3 2024, Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024. Institute of Electrical and Electronics Engineers Inc., p. 8340-8350 11 p. (2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    8 Scopus citations
  • Transfer learning for metamaterial design and simulation

    Peng, R., Ren, S., Malof, J. & Padilla, W. J., Mar 22 2024, In: Nanophotonics. 13, 13, p. 2323-2334 12 p.

    Research output: Contribution to journalArticlepeer-review

    Open Access
    2 Scopus citations
  • Forward and Inverse Design of Artificial Electromagnetic Materials

    Malof, J. M., Ren, S. & Padilla, W. J., Aug 2023, Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning. wiley, p. 345-370 26 p. (Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning).

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

  • Frequency Domain Disentanglement for Arbitrary Neural Style Transfer: A Computationally Efficient Baseline for Inverse Modeling

    Spell, G. P., Ren, S., Collins, L. M. & Malof, J. M., Jun 27 2023, Proceedings of the AAAI Conference on Artificial Intelligence. Williams, B., Chen, Y. & Neville, J. (eds.). AAAI Press, p. 1287-1295 9 p. (Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023; vol. 37).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations