Dr. Sadia Noureen

Teaching Fellow

Master's in Electronic Engineering from the Islamia University Bahawalpur

  • sadia.noureen@itu.edu.pk

RESEARCH INTERESTS

Her research interests include Nano-Optics and Meta-Photonics, Computational Electromagnetics, and Microwave and Antenna Engineering, Artificial Intelligence, Deep Learning, Design and Optimization of Metadevices, Image Processing, Neuromorphic Photonics.

Biography

Dr. Sadia Noureen has completed her PHD From ITU , Master’s in Electronic Engineering from the Islamia University Bahawalpur, and her Bachelor’s in Electronic Engineering from the Islamia University Bahawalpur.

  • [1]      S. Abbas, S. Noureen, R. Hussain, and M. Q. Mehmood, “RF Low-Pass Filter with Enhanced Roll-Off and Wide Stopbands for Wireless Applications,” in 2025 2nd International Conference on Microwave, Antennas & Circuits (ICMAC), 2025, pp. 1–4.
  • [2]      S. Abbas et al., “Non-Invasive Glucose Monitoring Using Wireless Circular Spiral Resonator Sensor,” in IEEE AP-S/URSI / SPIE Proceedings, 2025.
  • [3]      M. Fizan et al., “Design and Simulation of Compact AR/VR Optics: Integrating Metalens Array with RGB Filters,” J. Mater. Res., vol. 40, pp. 2499–2510, 2025, doi: 10.1557/s43578-025-01662-z.
  • [4]      M. Fizan, S. Noureen, H. S. Khaliq, M. Zubair, and M. Q. Mehmood, “Innovating education: MLA-based AR/VR display for learning purpose,” in Computational Optics 2024, 2024, pp. 150–156.
  • [5]      S. Noureen, S. Ijaz, I. Javed, H. Cabrera, M. Zennaro, and M. Zubair, “Deep-learning empowered unique and rapid optimization of meta-absorbers for solar thermophotovoltaics,” Opt. Mater. Express, vol. 14, no. 4, pp. 1025–1038, 2024.
  • [6]      M. Fizan, S. Noureen, H. S. Khaliq, and N. Mahmood, “Enhancing reality: metalens array and color filter integration for immersive AR/VR,” in Integrated Photonics Platforms III, 2024, pp. 179–185.
  • [7]      T. Afzal, S. Noureen, N. Mahmood, T. Tauqeer, and M. Q. Mehmood, “Reviewing AI-enabled microscopes for diagnostic purposes,” in Computational Optics 2024, 2024, pp. 157–164.
  • [8]      S. Noureen, S. Ijaz, M. Q. Mehmood, Q. H. Abbasi, and M. Zubair, “Data-driven intelligent design and optimization of chiral meta-devices,” in Machine Learning in Photonics, 2024, pp. 234–242.
  • [9]      A. Ur-Rehman, S. Noureen, H. Cabrera, H. S. Khaliq, and M. Q. Mehmood, “AI-enabled smart LSCI system for early diagnosis of diabetic foot ulcers,” in SPIE Biomedical Spectroscopy, Microscopy, and Imaging III, 2024, pp. 373–381.
  • [10]    S. Noureen, H. Cabrera, H. S. Khaliq, M. Q. Mehmood, and M. Zubair, “AI-enabled smart LSCI system for early diagnosis of diabetic foot ulcers,” in SPIE Biomedical Spectroscopy, Microscopy, and Imaging III, 2024, pp. 373–381.
  • [11]    A. Kanwal, A. S. Rana, S. Noureen, K. A. Aljaloud, A. H. Alqahtani, and R. Hussain, “Trans-reflective tunable color filter using electro-optic material,” Opt. Mater. Express, vol. 14, no. 2, pp. 522–537, 2024.
  • [12]    S. Noureen, S. Ijaz, M. Zubair, M. Q. Mehmood, and Y. Massoud, “Deep-learning enabled modeling tool Meta-Magus for metadevice optimization and design,” in Nanophotonics, Micro/Nano Optics, and Plasmonics VIII, 2023, pp. 31–42.
  • [13]    S. Noureen, I. H. Syed, S. Ijaz, A. A. Abdellatif, H. Cabrera, and M. Zubair, “Physics-driven tandem inverse design neural network for efficient optimization of UV–Vis meta-devices,” Appl. Surf. Sci. Adv., vol. 18, p. 100503, 2023.
  • [14]    S. Noureen, I. H. Syed, A. A. Abdellatif, M. Q. Mehmood, and Y. Massoud, “Reducing complexity and data-set-size through physics inspired tandem neural network,” in 2023 IEEE International Symposium on Circuits and Systems (ISCAS), 2023, pp. 1–5.
  • [15]    S. Ijaz, S. Noureen, B. Rehman, O. Aldaghri, H. Cabrera, and K. H. Ibnaouf, “Machine-learning-driven accelerated design-method for meta-devices,” Mater. Today Commun., vol. 37, p. 106951, 2023.
  • [16]    M. Fizan, S. Noureen, M. Zubair, M. Q. Mehmood, and Y. Massoud, “An overview of deep-learning models for metasurface design and optimization,” in Nanophotonics and Micro/Nano Optics IX, 2023, pp. 179–186.
  • [17]    S. Noureen, H. S. Khaliq, M. Fizan, M. Zubair, M. Q. Mehmood, and Y. Massoud, “Deep-learning based design and modeling for chiro-optical dielectric metasurfaces,” in Nanophotonics and Micro/Nano Optics IX, 2023, pp. 170–178.
  • [18]    S. Ijaz, S. Noureen, B. Rehman, M. Zubair, Y. Massoud, and M. Q. Mehmood, “Multi-material described metasurface solar absorber design with absorption prediction using machine learning models,” in Materials Today Communications, 2023, p. 106377.
  • [19]    S. Noureen, M. Q. Mehmood, M. Ali, B. Rehman, M. Zubair, and Y. Massoud, “A unique physics-inspired deep-learning-based platform introducing a generalized tool for rapid optical-response prediction and parametric-optimization for all-dielectric metasurfaces,” Nanoscale, vol. 14, no. 44, pp. 16436–16449, 2022.
  • [20]    S. Ijaz, S. Noureen, B. Rehman, M. Zubair, M. Q. Mehmood, and Y. Massoud, “A machine learning-based approach to model highly-thermally robust metasurface absorber,” in Conference on Lasers and Electro-Optics Pacific Rim (CLEO-PR), 2022, pp. 1–2.
  • [21]    S. Ijaz, S. Noureen, B. Rehman, M. Zubair, M. Q. Mehmood, and Y. Massoud, “Application of machine-learning techniques for characteristic analysis of refractory materials,” in Photonics for Energy II, 2022, p. 1231307.
  • [22]    S. Noureen, M. Zubair, M. Ali, and M. Q. Mehmood, “Deep Learning based Sequence Modeling for Optical response retrieval of photonic nanostructures,” in 2021 International Bhurban Conference on Applied Sciences and Technologies, 2021, pp. 289–292.
  • [23]    S. Noureen, M. Zubair, M. Ali, and M. Q. Mehmood, “Deep learning based hybrid sequence modeling for optical response retrieval in metasurfaces for STPV applications,” Opt. Mater. Express, vol. 11, no. 9, pp. 3178–3193, 2021.
  • [24]    H. Ahmed, A. A. Rahim, H. Maab, M. M. Ali, and S. Noureen, “Polarization insensitive all-dielectric metasurfaces for the ultraviolet domain,” Opt. Mater. Express, vol. 10, no. 4, pp. 1083–1091, 2020.
  • [25]    H. Ahmed, S. Noureen, N. Mahmood, A. A. Rahim, H. Maab, and …, “Highly efficient all-dielectric metasurfaces for airy beam generation in visible domain,” in 2020 17th International Bhurban Conference on Applied Sciences and Technologies, 2020, pp. 12–15.
  • [26]    H. Ahmed, A. A. Rahim, H. Maab, M. M. Ali, N. Mahmood, and S. Noureen, “Phase engineering with all-dielectric metasurfaces for focused-optical-vortex (FOV) beams with high cross-polarization efficiency,” Opt. Mater. Express, vol. 10, no. 2, pp. 434–448, 2020.
  • [27]    S. Noureen, H. Ahmed, N. Mahmood, M. Zubair, and M. Q. Mehmood, “Amplitude and Phase engineered all-dielectric metasurface for finite energy self-accelerating airy beam generation,” in Nanoengineering: Fabrication, Properties, Optics, Thin Films, and Devices, 2020.
  • [28]      S. Noureen, M. Amjad, A. Aziz, and A. Amin, “A novel ultra wideband antenna using electric LC and electromagnetic band gap loading,” IEICE Commun. Express, vol. 7, no. 4, pp. 130–135, 2018.