Tomasz Kajdanowicz

Tomasz Kajdanowicz

Associate Professor, head of faculty’s doctoral studies, head of department

Department of Computational Intelligence, Wroclaw University of Science and Technology

Professor Tomasz Kajdanowicz graduated with MSc and Ph.D. with honors, both from Wroclaw University of Technology, Poland, in 2008 and 2012, respectively. His Ph.D. was given The Best Polish Ph.D. Dissertation Award in 2012/2013, European Association for Artificial Intelligence – Polish Chapter, 2014. Recently, he serves as an associate professor of Wroclaw University of Science and Technology at the Faculty of Computer Science, Poland. He leads the Department of Computational Intelligence. He was a co-chair and a member of the organizing committee of multiple workshops and summer schools on Data Science, Artificial Intelligence, Machine Learning, and Big Data. He regularly serves as a member of international program committees and a reviewer for prestigious international journals and scientific conferences in the area of Social Networks, Machine Learning, PrallelComputing, Data and Knowledge Management, Big Data, IntelligentSystems. He has authored over 100 research articles in a variety of areas related to Ensemble Classification, Collective Classification, MachineLearning, Social Network Analysis, Collaborative Systems, Data Mining, Recommender Systems, Representation Learning, and Big Data. He also initialized and led 10 research projects in cooperation with commercial companies, including large international corporations. Tomasz holds ITIL v3Foundation Certificate and multiple professional certificates from project management and data science.

He conducted research at Stanford University, USA, University of Sydney, Australia University of Notre Dame, USA and Technical University of Dortmund. His research interests include social network and media analysis, machine learning and representation learning.

Interests

  • Social Network and Media Analysis
  • Computational Linguistics
  • Networks and Relational Learning
  • Representation Learning
  • Bayesian Optimization
  • Bayesian Methods
  • Graphical Models

Education

  • D.Sc. in Information and Communication Technology, 2020

    Institute of Computer Science, Polish Academy of Sciences

  • Stanford Center fo Professional Development "Science - Management - Commercialization", 2013

    Stanford University, USA

  • Ph.D. in Computer Science, Artificial Intelligence (with honours, national EAI award), 2012

    Wroclaw University of Science and Technology

  • Postgraduate studies, Project Management (with honours), 2011

    Wroclaw University of Science and Technology

  • MsC in Computer Science, 2008

    Wroclaw University of Science and Technology

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