Szymon Wojciechowski

Szymon Wojciechowski is an Assistant Professor at the Department of Computer Systems and Networks, Faculty of Electronics, Wrocław University of Science and Technology. He has been actively contributing to research and teaching since October 2019. He is a member of several research teams, including the Machine Learning Team, Metaheuristics Team, and Advanced Data Analysis Methods Team.

• Faculty of Electronics, Wrocław University of Science and Technology
• Department of Computer Systems and Networks
• Machine Learning Team
• Teaching Team
• Computer Networks Team

His educational background includes a Bachelor of Engineering in Medical Information Systems (2018) and a Master of Engineering in Advanced Informatics and Control (2019), both from Wrocław University of Science and Technology.

Dr. Wojciechowski's research focuses on machine learning, particularly in imbalanced data classification, multi-objective optimization, and data stream clustering. He explores data preprocessing techniques and evolutionary algorithms to enhance classifier performance in challenging decision-making scenarios. His work often integrates optimization methods into machine learning pipelines.

The recent publications demonstrate a strong trend in applying evolutionary and hybrid AI techniques to solve problems in imbalanced data and network optimization. The research spans domains such as optical networking, semi-supervised clustering, and ensemble classification, indicating a cross-disciplinary approach combining computer networks and intelligent systems.

He is actively involved in research projects including IDSTREAM and MOO, focusing on data stream analysis and multi-objective optimization. He completed a research internship at Universidad de Granada, Spain, where he worked on semi-supervised clustering with k-means. He supervises diploma theses and contributes to teaching in computer science and informatics.

Dr. Wojciechowski is affiliated with the following research teams:

• Machine Learning Team
• Teaching Team
• Computer Networks Team
• Advanced Data Analysis Methods Team
• Metaheuristics Team