Dr. Sanam Mirza is an Assistant Professor of Electrical Engineering at Amity University Dubai with expertise in renewable energy systems, solar photovoltaic technologies, power electronics, smart grids, and artificial intelligence applications in energy systems. She is dedicated to providing a high-quality learning experience by combining strong theoretical foundations with practical and industry-relevant applications.
At Amity University Dubai, Dr. Sanam is actively involved in teaching, research, student mentoring, and academic development. Her research focuses on solar energy optimization, maximum power point tracking (MPPT), smart grid technologies, energy management systems, and the application of artificial intelligence and machine learning techniques to sustainable energy solutions. Her published research includes innovative approaches for enhancing the performance of grid-connected photovoltaic systems under partial shading conditions.
Dr. Khan is passionate about advancing sustainable energy technologies and fostering collaboration between academia and industry. Through her teaching and research activities, she aims to contribute to the development of future engineers equipped to address global energy challenges and support the transition towards cleaner and more intelligent energy systems.
- Doctor of Philosophy (Ph.D.) in Electrical and Communication Engineering, Lovely Professional University (LPU), India
- Master of Technology (M.Tech.) in Electronics and Communication Engineering, Kurukshetra University, India
- Bachelor of Technology (B.Tech.) in Electrical and Electronics Engineering, Kurukshetra University, India
- Kouser, S., Dheep, G. R., & Bansal, R. C. (2023). Maximum Power Extraction in Partial Shaded Grid-Connected PV System Using Hybrid Fuzzy Logic/Neural Network-Based Variable Step Size MPPT. Smart Grids and Sustainable Energy, Springer.
- Kouser, S., Dheep, G. R., & Bansal, R. C. (2024). Adaptive Neuro-Fuzzy Inference System for Optimizing Energy Flow in Grid-Linked Solar and Battery Storage Systems. 2024 Advances in Science and Engineering Technology International Conferences (ASET), IEEE.
- Kouser, S., et al. Artificial Ecosystem Optimization Algorithm Tuned PI-Controlled Grid-Connected PV System. Smart Grids and Sustainable Energy, Springer. Kouser, S. De-Rated Concept Based Adaptive Neuro-Fuzzy Inference System (ANFIS) and Fuzzy MPPT Technique for PV Power Grid.
- Kouser, S., et al. Horse Herd Optimization MPPT for Grid-Connected PV System under Partial Shading Conditions.
- Kouser, S., et al. Artificial Rabbit Optimized Neural Network Control of Battery and PV-Powered UPQC for Micro-Grid Applications. Smart Grids and Sustainable Energy, Springer.
- Kouser, S., et al. Role of Energy Storage Systems in Modern Power Systems and Smart Grids: Technologies, Applications, and Simulation-Based Insights.
- Power Electronics
- Power Systems
- Analog and Digital VLSI Design
- Digital Design
- Renewable Energy Systems
- Electrical Engineering Laboratory Courses
