Pezhman Nasirifard received his M.Sc. in computer science from the Technical University of Munich (TUM), focusing on mining energy-related geodata for inferring electrical grids and facilitating the integration of renewable energy resources. Afterward, he continued with his Ph.D. in computer science at TUM, working on various topics, including serverless publish/subscribe systems and simulation frameworks for analyzing the usability and vulnerabilities of various blockchain systems, such as Bitcoin, Ethereum, and IOTA. He also has been working on scalability solutions of permissioned blockchains, such as Hyperledger Fabric, using Conflict-free Replicated Data Types (CRDT) and extending the applications of permissioned blockchains to federated learning and decentralized data storage use cases. His research interests include distributed systems, cloud and serverless computing, and blockchain technologies.