Nicos Pavlidis

Dr. Nicos Pavlidis is a Senior Lecturer in the Department of Management Science at the Management School LUMS, Lancaster University. His research focuses on developing novel methods for clustering and classification in high-dimensional data and time-varying environments. He teaches courses including MSCI 562: Intelligent Data Analysis and Visualisation and MSCI 331: Data Mining for Direct Marketing and Finance, supported by DataCamp. Pavlidis is affiliated with research groups such as STOR-i Centre for Doctoral Training and the Centre for Marketing Analytics & Forecasting.

His research interests span statistics, data mining, and machine learning, with an emphasis on adaptive algorithms for complex data challenges. He has led projects like Efficient clustering for high-dimensional data sets (2017–2021). He actively participates in conferences like the IEEE Congress on Evolutionary Computation and serves on editorial boards for journals including IEEE Transactions on Evolutionary Computation and Computational Statistics and Data Analysis.

A PhD student under his supervision is Danielle Notice. Pavlidis has contributed to peer-reviewed work on topics ranging from niche optimization methods to dynamic GARCH models. His work bridges theoretical advancements and practical applications in data-driven decision-making.