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Sensong An

Title: Assistant Professor

Department: Electrical Engineering

College: College of Engineering

Curriculum Vitae

Curriculum Vitae Link

Education

  • PhD, University of Massachusetts Lowell, 2021
    Major: Electrical Engineering

Current Scheduled Teaching

No current or future courses scheduled.

Texas Education Code 51.974 (HB 2504) requires each institution of higher education to make available to the public, a syllabus for undergraduate lecture courses offered for credit by the institution.

Previous Scheduled Teaching

EENG 5420.001Antenna Theory and DesignSpring 2026 SPOT
EENG 2611.001Circuit Analysis LabSpring 2026 Syllabus SPOT
EENG 6940.813Individual ResearchSpring 2026
EENG 5890.021Directed StudyFall 2025
EENG 3410.001Engineering ElectromagneticsFall 2025 Syllabus SPOT
EENG 3411.001Engineering Electromagnetics LabFall 2025 Syllabus SPOT
EENG 6940.019Individual ResearchFall 2025
EENG 5890.801Directed StudySpring 2025
EENG 3410.001Engineering ElectromagneticsSpring 2025 Syllabus SPOT
EENG 3411.001Engineering Electromagnetics LabSpring 2025 Syllabus SPOT
EENG 6940.813Individual ResearchSpring 2025
EENG 3410.001Engineering ElectromagneticsFall 2024 Syllabus SPOT
EENG 3411.001Engineering Electromagnetics LabFall 2024 Syllabus SPOT
EENG 6940.019Individual ResearchFall 2024
EENG 3410.001Engineering ElectromagneticsSpring 2024 Syllabus SPOT
EENG 3411.001Engineering Electromagnetics LabSpring 2024 Syllabus SPOT
EENG 3410.001Engineering ElectromagneticsFall 2023 Syllabus SPOT
Texas Education Code 51.974 (HB 2504) requires each institution of higher education to make available to the public, a syllabus for undergraduate lecture courses offered for credit by the institution.

Published Intellectual Contributions

    Book Chapter

  • An, S. (2023). Deep Learning for Metasurfaces and Metasurfaces for Deep Learning. 319-343. John Wiley & Sons, Inc..

    • Conference Proceeding

  • An, S. (2023). Deep-learning designed fabrication-friendly metasurfaces. FTu1E. 3. Optica Publishing Group. https://opg.optica.org/abstract.cfm?uri=fio-2023-FTu1E.3
  • An, S. (2023). LWIR metalenses for broadband, wide-angle imaging. FW5G. 1. Optica Publishing Group.
  • An, S. (2023). Wide field-of-view long-wave infrared metalenses. 12530 102-109. SPIE. https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12530/125300I/Wide-field-of-view-long-wave-infrared-metalenses/10.1117/12.2661943.short
  • An, S. (2023). A Fully 3D-Printed Flexible Millimeter-Wave Doppler Radar. 335-338. IEEE. https://ieeexplore.ieee.org/abstract/document/10188080/
  • An, S. (2023). Data Collection and Network Design for Deep Learning Based Metasurface Design. https://ieeexplore.ieee.org/abstract/document/10114751

    • Journal Article

  • Huang, Y., Zheng, B., Dong, Y., Tang, H., Zhao, H., Shawon, R.H., An, S., Zhang, H. (2025). MCP-enabled LLM for meta-optics inverse design: leveraging differentiable solver without LLM expertise. NPJ Nanophotonics. DE GRUYTER. https://www.degruyterbrill.com/document/doi/10.1515/nanoph-2025-0507/html
  • Bai, Y., Gu, Z., Wang, X., Zhang, H., An, S., Ding, J. (2025). Hybrid Inverse Design Framework for Microwave Ultrabroadband Achromatic Metalens. IEEE Transactions on Antennas and Propagation. 73 (10) 7816 - 7829. IEEE. https://ieeexplore.ieee.org/document/11074275
  • An, S. (2024). AI for optical metasurface. 1 (36) Nature. https://www.nature.com/articles/s44310-024-00037-2
  • An, S. (2024). An Additively Manufactured Flexible Millimeter- Wave Doppler Radar: Toward Fully Printed High-Frequency Multilayer Flexible Hybrid Electronics. IEEE Transactions on Microwave Theory and Techniques. 72 (11) 6706 - 6715. IEEE. https://ieeexplore.ieee.org/abstract/document/10538061
  • An, S. (2024). Wide-Field-of-View, Large-Area Long-Wave Infrared Silicon Metalenses. 11 (5) 1943–1949. ACS. https://pubs.acs.org/doi/full/10.1021/acsphotonics.4c00013
  • An, S. (2024). Achromatic Single Metalens Imaging via Deep Neural Network. 11 (4) 1645–1656. ACS. https://pubs.acs.org/doi/abs/10.1021/acsphotonics.3c01870
  • An, S. (2023). Photochemically Engineered Large‐Area Arsenic Sulfide Micro‐Gratings for Hybrid Diffractive–Refractive Infrared Platforms. 5 (1) 2300241. Wiley. https://onlinelibrary.wiley.com/doi/full/10.1002/adpr.202300241
  • An, S. (2023). Design of continuously tunable varifocal metalenses. Journal of Optics. 25 (11) 115102. IOP Publishing. https://iopscience.iop.org/article/10.1088/2040-8986/acfbe8/meta
  • An, S. (2023). Dual-band optical collimator based on deep-learning designed, fabrication-friendly metasurfaces. 12 (17) 3491-3499. De Gruyter.
  • An, S. (2023). Wide field-of-view metalens: a tutorial. 5 (3) 033001-033001. Society of Photo-Optical Instrumentation Engineers. https://www.spiedigitallibrary.org/journals/advanced-photonics/volume-5/issue-3/033001/Wide-field-of-view-metalens-a-tutorial/10.1117/1.AP.5.3.033001.short
  • An, S. (2023). Understanding wide field-of-view flat lenses: an analytical solution. Optics Letters. Chinese Optical Society. https://opg.optica.org/col/abstract.cfm?uri=col-21-2-023601
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Overall
Summative Rating		 Challenge and
Engagement Index		 Response Rate

out of 5
out of 7		 %
of
students responded
  • Overall Summative Rating (median):
    This rating represents the combined responses of students to the four global summative items and is presented to provide an overall index of the class’s quality. Overall summative statements include the following (response options include a Likert scale ranging from 5 = Excellent, 3 = Good, and 1= Very poor):
    • The course as a whole was
    • The course content was
    • The instructor’s contribution to the course was
    • The instructor’s effectiveness in teaching the subject matter was
  • Challenge and Engagement Index:
    This rating combines student responses to several SPOT items relating to how academically challenging students found the course to be and how engaged they were. Challenge and Engagement Index items include the following (response options include a Likert scale ranging from 7 = Much higher, 4 = Average, and 1 = Much lower):
    • Do you expect your grade in this course to be
    • The intellectual challenge presented was
    • The amount of effort you put into this course was
    • The amount of effort to succeed in this course was
    • Your involvement in course (doing assignments, attending classes, etc.) was
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