Nicholas Ampazis

Nicholas Ampazis holds a BEng (Hons) degree from the Department of Electrical Engineering, Imperial College London (1992), an MSc degree with Distinction in Information Processing and Neural Networks from the Department of Mathematics, King's College London (1995), and a PhD with Distinction from the Department of Electical and Computer Engineering, National Technical University of Athens (2001). From 1996 to 2001 he was a scholar with the Institute of Informatics at the National Center from Scientific Research "Demokritos", Athens, Greece. From 2002 to 2005 he was an adjunct professor at the Department of Financial and Management Engineering (FME), University of the Aegean, and since 2005 he is an assistant professor (computer science) at the same department. He is also the director of the Intelligent Data Exploration and Analysis Laboratory (IDEAL) at the FME department. His research interests include computational intelligence algorithms (with emphasis in neural networks), data mining, information retrieval, recommender systems and supply chain management, and he has published over 40 papers journal and conference papers in these research areas.

Publications

Forecasting Demand in Supply Chain Using Machine Learning Algorithms
Forecasting Demand in Supply Chain Using Machine Learning Algorithms
Nicholas Ampazis. © 2015. 18 pages.
Managing inventory in a multi-level supply chain structure is a difficult task for big retail stores as it is particularly complex to predict demand for the majority of the...
A Computational Intelligence Approach to Supply Chain Demand Forecasting
A Computational Intelligence Approach to Supply Chain Demand Forecasting
Nicholas Ampazis. © 2012. 15 pages.
Estimating customer demand in a multi-level supply chain structure is crucial for companies seeking to maintain their competitive advantage within an uncertain business...
Supply Chain Optimization, Design, and Management: Advances and Intelligent Methods
Supply Chain Optimization, Design, and Management: Advances and Intelligent Methods
Ioannis Minis, Vasileios Zeimpekis, Georgios Dounias, Nicholas Ampazis. © 2011. 338 pages.
Computational Intelligence (CI) is a term corresponding to a new generation of algorithmic methodologies in artificial intelligence, which combines elements of learning...
A Computational Intelligence Approach to Supply Chain Demand Forecasting
A Computational Intelligence Approach to Supply Chain Demand Forecasting
Nicholas Ampazis. © 2011. 15 pages.
Estimating customer demand in a multi-level supply chain structure is crucial for companies seeking to maintain their competitive advantage within an uncertain business...