Quantum computing for power systems
Research interests include quantum approaches to optimization problems in electric power systems, with attention to practical modeling and computational performance.
Also known as Amir Mirzaei
Electrical engineering educator and researcher working at the intersection of quantum computing, semiconductor devices, and hands-on engineering education.
Connecting theoretical foundations with practical engineering problems.
Research interests include quantum approaches to optimization problems in electric power systems, with attention to practical modeling and computational performance.
Electromagnetic modeling and analysis of semiconductor structures relevant to solid-state qubits and their physical implementation.
Interests in RF/microwave circuits and developing hands-on learning experiences that connect device theory, circuit simulation, and measurements.
I am a Lecturer in Electrical Engineering at Louisiana Tech University. My professional interests span quantum computing and optimization, semiconductor quantum devices, and electrical engineering education. I enjoy connecting rigorous engineering fundamentals with practical applications and helping students develop the confidence to tackle challenging technical problems.
Read my biography →Courses and learning experiences designed to connect ideas, tools, and applications.
Foundations of qubits, quantum gates, measurement, quantum circuits, and real-world hardware realizations.
Semiconductor devices, circuit analysis, analog building blocks, simulation, and design reasoning.
RF and microwave circuit concepts, high-frequency behavior, simulation, and measurement-based learning activities.
Student team projects involving applied electronics, sensing, and electromagnetic engineering.
For academic correspondence, course matters, or research conversations.