我们的团队

Dr. Mariusz Dramski

Dean of Faculty of Economics and Business Administration
Dr. Mariusz is a Data Scientist and Project Manager in the Erasmus+ EU programme and Researcher in data and process mining with a PhD in artificial intelligence. He is also an experienced team leader and was Head of Research at various universities in Poland.

Overview

Data Scientist and Project Manager in the Erasmus+ EU programme and Researcher in data and process mining with a PhD in artificial intelligence. He is also an experienced team leader and was Head of Research at various universities in Poland.

He has over 20 years of experience in IT and higher education and is an author of over 40 scientific publications in international journals and conferences. Graduated from the West Pomeranian University of Technology in Szczecin (Poland). He also has experience in commercial activities.  

Areas of expertise

  • Project management
  • Training and development
  • Higher education
  • Business intelligence
  • Maritime transport problems

Publications

  • Dramski M., Maka M. (2022). Alternative Dimensional Reduction Methods on the Example of Data Preprocessing to Build a Ship Exhaust Model.
  • Dramski M., Ziarati R., Koivisto H., Chronopulos A., de Melo Rodriguez G., Gregoric T. (2022). Mental health surveillance tools for sea workers.
  • Dramski M., Maka M. (2019). AIS data acquisition for intelligent system for obtaining statistics.
  • Dramski M., Maka M. (2019). An algorithm proposal for detecting course changes and speed of the tracked object
  • Dramski M. (2018). Analysis of passenger aircrafts delays using associative rules
  • Dramski M. (2018). Guidelines for recording transport event logs
  • Dramski M. (2017). Inductive mining in modeling of the ship’s route
  • Dramski M. (2017). Missing data problem in the event logs of transport processes
  • Dramski M. (2017). Clusterization methods in detecting the restricred areas for sea transport
  • Dramski M., Maka M. (2016). Speech recognition in the radiocommunication event management system
  • Dramski M. (2016). Extensible event stream format for navigational data
  • Dramski M. (2016). The alpha algorithm in modeling of the ship’s route
  • Dramski M. (2015). Operational support in transport in the context of process mining
  • Dramski M. (2015). Visualization method of AIS data for navigators
  • Dramski M., Maka M. (2015). A proposal of the prediction algorithm of the object’s position in restricted area
  • Dramski M., Maka M., Uchacz W. (2014). Network model of the shortest path selection in transport
  • Dramski M. (2014). Bidirectional search in route planning in navigation
  • Dramski M. (2013). Artificial intelligence in solving collision problem in restricted area
  • Dramski M., Maka M. (2013). Algorithm of solving collision problem of two objects in restricted area
  • Dramski M., Maka M. (2012). Selected shortest path in the graph algorithms with a use of trapezoidal grid in navigation in restricted area
  • Dramski M. (2012). Shortest path problem in static navigation situations
  • Dramski M. (2012). A comparison between Dijkstra and SACO algorithms in navigation
  • Dramski M. Maka M. (2011). The choice of ship’s safe route in a restricted area with the use of quadtrees for a simplified ant algorithm
  • Dramski M., Jaszczak S., Graczyk T., Matejski M. (2011). Analysis of underwater vehicle power system aiming and its modification
  • Dramski M., Gutowski P. (2010). FTTD technology in information society development
  • Dramski M. (2010). Innovation deploying problems in medicine in West Pomeranian province
  • Dramski M., Jaszczak S., Matejski M. (2009). Proposal of a communication protocol for the remotely operated vehicle
  • Dramski M., Jaszczak S., Graczyk T., Matejski M., (2009). Sea exploitation – implementation trials of underwater monitoring system
  • Dramski M., Matejski M. (2008). Software implementation of the communication protocol for an underwater vehicle
  • Dramski M., Matejski M. (2008). Modeling of the movement of ROV vehicle in vertival plane using neural networks
  • Dramski M. (2005). A proposal of a new method of modeling using the circular neighbourhood
  • Dramski M. (2004). A comparison betwenn k-NCN and LSQ methods in local modeling of nonlinear systems
  • Dramski M. (2004). k-NN search methods based on projection in local modeling of nonlinear systems
  • Dramski M. (2003). Local modeling of low-dimensional MISO systems using the nearest circular neighbourhood
  • Dramski M. , Czerniak J. (2003). Data processing in medicine
  • Dramski M., Czerniak J. (2003). Code management in software corporation
  • Dramski M. (2003). The choice of samples for creation a local area model using circular neighbourhood

Research Interests

  • Data mining
  • Process mining
  • Machine learning

Conferences, Talks, and Speaking Engagements

Participation in international conferences such:

  • Advanced Computer Systems
  • Marine Traffic Engineering
  • Explo-Ship
  • Transport Systems Telematics
  • TransNav
  • IAMU AGA