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Nimrah Saeed

@nimrahsaeed

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Competent electrical engineer integrating blockchain and AI in energy systems.

China

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What I'm looking for

I am seeking an R&D position where I can leverage my skills in blockchain and AI to contribute to innovative energy solutions.

I am a dedicated electrical engineer currently pursuing my PhD at Zhejiang University, specializing in the integration of blockchain technology and artificial intelligence to enhance energy management systems. My research focuses on decentralized energy trading, dynamic pricing, and optimizing carbon credit management, aiming to drive innovation in the energy sector.

Throughout my academic journey, I have developed novel topologies for DC-DC converters and designed a peer-to-peer energy trading system using blockchain technology. My work emphasizes the importance of efficiency, transparency, and sustainability in modern energy systems, and I am passionate about contributing to cutting-edge advancements in energy technology.

Experience

Work history, roles, and key accomplishments

Current

Doctoral Researcher

Current

Zhejiang University

Sep 2021 - Present (3 years 9 months)

Led research on integrating blockchain and AI into microgrid energy management, focusing on decentralized energy trading and dynamic pricing. Developed solutions for carbon credit optimization and power theft detection, enhancing efficiency and sustainability in energy systems.

Blockchain Artificial Intelligence Smart Contracts Decentralized Energy Trading Machine Learning Ethereum Python Solidity

Postgraduate Researcher

Shanghai Jiao Tong University

Sep 2014 - Jun 2017 (2 years 9 months)

Conducted research on impedance source isolated DC-DC converters for renewable generation systems. Proposed two novel topologies: Cycling Cascaded Z-source Isolated DC-DC Converter (CZIDC) and Quasi Z-source Multilevel DC-DC step-up isolated Converter (ML-qZDC).

DC DC Converters Topology

Education

Degrees, certifications, and relevant coursework

Zhejiang University

Doctor of Philosophy, Electrical Engineering

Activities and societies: Designed a peer-to-peer energy trading system using blockchain and ERC-20 tokens. Integrated blockchain and machine learning for automated dynamic pricing. Proposed a blockchain-based framework with Fuzzy Logic Controllers for carbon credit trading. Implemented machine learning algorithms and blockchain for power theft detection.

Conducted doctoral research on integrating blockchain and AI into microgrid energy management. Focused on decentralized energy trading, dynamic pricing, carbon credit optimization, and power theft detection. Aimed to enhance efficiency, transparency, and sustainability in modern energy systems.

Shanghai Jiao Tong University

Master of Science, Electrical Engineering

Activities and societies: Proposed two novel topologies: Cycling Cascaded Z-source Isolated DC-DC Converter (CZIDC) and Quasi Z-source Multilevel DC-DC step-up isolated Converter (ML-qZDC).

Undertook postgraduate research on impedance source isolated DC-DC converters for renewable generation systems. Proposed two novel topologies: Cycling Cascaded Z-source Isolated DC-DC Converter (CZIDC) and Quasi Z-source Multilevel DC-DC step-up isolated Converter (ML-qZDC).

HITEC University Taxila

Bachelor of Science, Electrical Engineering

Studied fundamental principles of electrical engineering, including circuit analysis, power systems, and electronics. Gained practical experience in designing and implementing electrical components and systems.