The aim of this work was the design and development of a prediction framework to forecast the occupancy levels of bike stations for different prediction horizons. The study objectives are threefold:

  1. To build a prediction model learned from a training dataset for automatically forecasting the occupancy levels of bike sharing stations;
  2. To improve the accuracy of such model by properly tuning the configuration parameters;
  3. To develop a client-server system and Android application to visualize the results of prediction;
Jalolliddin Yusupov
Assistant Professor of Software Engineering

My primary research interests include formal verification, formal modeling, cyber physical systems, and cloud computing systems.