Biography
Dr. Sumbel Ijaz is a Lecturer in the Department of Electrical Engineering at Government College University (GCU), Lahore, with over 13 years of teaching experience in undergraduate engineering education. She teaches Antenna & Wave Propagation, Signals & Systems and Digital Signal Processing.
She completed her PhD in Electrical Engineering at ITU Lahore, specialising in nanophotonics, metamaterials and solar energy systems. Her research interests span optics, photonics, metasurfaces, solar-thermal absorbers, perovskite PV cells and agrivoltaics. She actively promotes STEM education and experiential learning through nationwide outreach initiatives, technical workshops, seminars and public engagement.
She completed her PhD in Electrical Engineering at ITU Lahore, specialising in nanophotonics, metamaterials and solar energy systems. Her research interests span optics, photonics, metasurfaces, solar-thermal absorbers, perovskite PV cells and agrivoltaics. She actively promotes STEM education and experiential learning through nationwide outreach initiatives, technical workshops, seminars and public engagement.
Recent Publications +
- Metasurface Absorber-Emitter Pair Integrated High Efficiency Thermophotovoltaic System — ACS Photonics, Vol 12, Issue 7, 3829–3839 (2025)
- Towards Sustainable Agri-Photovoltaics through System Design and Viability in Semi-Arid Conditions — Solar Energy, Volume 299, 113682 (2025)
- Impact of pre and post perovskite infltration treatments on monolithic perovskite solar cell performance — Journal of Materials Science: Materials in Electronics, 35:1489 (2024)
- Efficient Solar Energy Harvesting via Thermally Stable Tungsten-Based Nanostructured Solar Thermophotovoltaic Systems — Materials Today Communications, Volume 40, 109967 (2024)
- Ultra broadband UV-VIS-NIR Absorbers via Nanostructured Refractory-nitrides — MRS Energy & Sustainability (2024)
- A Numerical Approach to Optimize the Performance of HTL-free Carbon Electrode-based Perovskite Solar Cells using Organic ETLs — Heliyon, Volume 10, Issue 7 (2024)
- Deep-learning Empowered Unique and Rapid Optimization of Meta-absorbers for Solar Thermophotovoltaics. — Optical Materials Express, Vol. 14, Issue 4, pp. 1025-1038 (2024)
- UV-VIS-NIR Absorber to Harvest EM Energy for Solar Thermophotovoltaics — Optical Materials Express, Vol. 14, Issue 4, pp. 931-943 (2024)
- Machine-learning-driven Accelerated Design-method for Metadevices — Materials Today Communications, Volume 37, 106951 (2023)
- A Functionality Switchable Meta-device: From Perfect Reflection to Perfect Absorption — Physica Scripta, 98, 095514 (2023)