Przemysław Kazienko

Przemysław Kazienko is a Full Professor at the Department of Artificial Intelligence, within the Faculty of Information and Communication Technology at Wrocław University of Science and Technology, Poland. His research spans data science, social and complex networks, machine learning, and human-centered AI, with a focus on emotional analysis via wearables, LLM ethics, and information overload in social systems.

• Research Interests: Data science applications in social networks, temporal network epistemology, affective computing with wearables, NLP for LLMs, and ethical considerations in AI.
• Leadership: Founder of ImpactAI (2024), Emognition (2019), and HumaNLP (2020). Previously led Social Network Group and Data Science Group.
• Education: Pioneered Poland’s first data science master’s program (2018), later converted to an AI master’s program with plans for an AI undergraduate program (2025).

Publication Trends: Kazienko’s recent work addresses LLM manipulation, emotion detection via ECG, and ethical AI frameworks. His 2025 article on Pulse Rate Variability integrates adaptive filtering for health monitoring, while 2024 studies explore LLM self-training, wearable-based emotion systems, and responsible AI.

• Scientific Awards:
  • Best Paper Award at WristSense 2022

Collaboration & Grants: He actively collaborates on projects involving multi-label NLP, temporal network analysis, and wearable health systems. His grants focus on evaluating research funding effectiveness through bibliometrics.

Labs & Teams: Leads ImpactAI, Emognition, and HumaNLP, fostering interdisciplinary research on AI’s societal impact, emotion recognition, and human-centric NLP. His teams have developed systems like Emognition for real-life emotion detection and PALS for personalized active learning in NLP.