Scholar
Tomasz Kajdanowicz
Google Scholar ID: GOoaHHEAAAAJ
Wroclaw University of Technology
Citations & Impact
Citations
2,016
H-index
21
i10-index
33
Publications
20
Co-authors
24
list available
Contact
No contact links provided.
Publications
Resume (English only)
Research Experience
- 2021–present: Associate Professor and Head of Department of Artificial Intelligence, Faculty of ICT, Wrocław University of Science and Technology
- 2020–2021: Associate Professor and Deputy Head of Department of Computational Intelligence, Faculty of Computer Science and Management, Wrocław University of Science and Technology
- 2020–2021: Head of Doctoral Studies, Faculty of Computer Science and Management, Wrocław University of Science and Technology
- 2019: Visiting Scholar (Post-doc), Center for Sustainable Development & Global Competitiveness, Stanford University, USA
- 2018–2019: Visiting Professor (Post-doc), Advanced Analytics Institute, University of Technology Sydney, Australia
- 2018: Visiting Scholar (Post-doc), Data, Inference, Analytics, and Learning (DIAL) Lab, University of Notre Dame, USA
Education
- 2020: D.Sc. in Computer Science, Institute of Computer Science, Polish Academy of Sciences, Poland
- 2013: TOP 500 Innovators: Science – Management – Commercialization program, Stanford Center for Professional Development, USA
- 2008–2012: Ph.D. in Computer Science, Wrocław University of Science and Technology, thesis: 'Classification Methods Based on Multi-label Problem Transformation'
- 2010–2011: Diploma in Project Management, Wrocław University of Science and Technology
- 2003–2008: M.Sc. in Computer Science, Wrocław University of Science and Technology, thesis: 'Multidimensional Social Network Analysis'
- 2005–2006: M.Sc. in Computer Science (Erasmus exchange), Universitat Politècnica de València, Spain
Background
- Currently an Associate Professor of Artificial Intelligence at Wrocław University of Science and Technology, Poland
- Head of the Department of Artificial Intelligence at Wrocław University of Science and Technology
- Research interests include machine learning, deep learning, representation learning, social network analysis, social media analysis, and recommender systems
- Advocates for the responsible use of AI in the relationship between citizens, local government, industry, and academia
- Innovator and entrepreneur; graduate of Stanford University’s TOP 500 Innovators program
