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Dr. Sadia Noureen

Principal Investigator, CISS Global

Teaching Fellow Department of Electrical Engineering, ITU

Master's in Electronic Engineering from the Islamia University Bahawalpur

PhD in Electrical Engineering from the Information Technology University, Lahore

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.