Teaching

Teaching Interests

I develop and teach courses at the intersection of power systems, artificial intelligence, and quantum computing. A central theme of my teaching is that computational methods for power systems should not be treated as black-box tools, but instead grounded in the physical principles of electric grids. In this spirit, I aim to help students develop both a deep understanding of grid physics and the ability to build physically grounded tools for analyzing, operating, and securing modern power systems.

Courses

ESE 562: AI-Driven Smart Grids Graduate

Graduate course on artificial intelligence for power system modeling, analysis, and operation. This course is part of the Engineering Artificial Intelligence MS program at Stony Brook University.

Offerings: Fall 2026 (opening now), Fall 2025 (Course Evaluation: 5.0/5.0), Fall 2024 (Course Evaluation: 5.0/5.0).

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ESE 352: Electromechanical Energy Converters Undergraduate

Undergraduate course on the conversion between mechanical power and electric power through generators and motors. This course is an elective under the Power and Energy Systems Specialization.

Offerings: Fall 2026 (opening now), Fall 2025 (Course Evaluation: 5.0/5.0), Fall 2024 (Course Evaluation: –/5.0), Fall 2023 (Course Evaluation: 5.0/5.0), Fall 2022 (Course Evaluation: 5.0/5.0).

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EEO 425: Electric Machinery and Energy Conversion Undergraduate

This course is the online version of ESE 352 and is part of the Electrical Engineering Online Program in the Department of Electrical and Computer Engineering at Stony Brook University.

Offerings: Fall 2026 (opening now), Fall 2025 (Course Evaluation: 5.0/5.0), Fall 2024 (Course Evaluation: 5.0/5.0), Fall 2023 (Course Evaluation: 5.0/5.0), Fall 2022 (Course Evaluation: 4.8/5.0).

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SBU 102.S260: Smart Grids with AI and Quantum: Hands-On Explorations Undergraduate

Undergraduate seminar introducing first-year students to modern power systems, artificial intelligence, and quantum computing through simple models and hands-on explorations. This course is part of the Undergraduate College Seminar at Stony Brook University.

Offerings: Spring 2026.

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ESE 586: Microgrids Graduate

Graduate course on advanced modeling, control, resilience, and security technologies for grid modernization from the perspective of microgrid design, analysis, and operation.

Offerings: Fall 2023 (Course Evaluation: 4.5/5.0), Fall 2022 (Course Evaluation: 5.0/5.0).

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