Summary
Xiufeng Liu is a Senior Researcher at the Technical University of Denmark with 11 years of experience specializing in smart meter data analytics, data warehousing, big data management, and IoT. He blends rigorous academic training (PhD from Aalborg University and degrees from Tsinghua) with applied research on benchmarking analytics systems, ETL pipelines, and anomaly energy consumption detection. His work sits at the intersection of energy informatics and scalable data engineering, producing both systems and algorithms for real-world smart-meter deployments. Xiufeng’s profile reflects sustained academic-to-industry impact, including postdoctoral work at the University of Waterloo and ongoing projects at DTU. Though he rarely updates LinkedIn, he maintains an active technical presence via a homepage, Google Scholar, and GitHub, indicating a habit of sharing reproducible research and code. An underappreciated strength is his focus on benchmarking—bringing empirical rigor to compare and improve analytics systems used in energy applications.
11 years of coding experience
6 years of employment as a software developer
Master’s Degree, Computer Software Engineering, Master’s Degree, Computer Software Engineering at Tsinghua University
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Aalborg Universitet