Cracow University of Technology - Poland
AUTHOR PROFILE
SCOPUS
ORCID
🎓 EARLY ACADEMIC PURSUITS
Radosław Antoni Kycia's academic journey began with a Bachelor's degree in Computer Science from the Jagiellonian University, Kraków, in 2010. His passion for theoretical physics led him to earn a Master's degree in 2008 and a PhD in Theoretical Physics from the same university in 2012. His thirst for knowledge didn't stop there; he pursued another PhD in Mathematics (Geometry) at Masaryk University, Brno, Czech Republic, in 2024, along with an Executive MBA from Cracow University of Technology and Central Connecticut State University.
🧑🏫 PROFESSIONAL ENDEAVORS
Dr. Kycia's professional career took off as a Software Engineer at Motorola Solutions in Kraków, where he honed his programming skills. He soon transitioned into academia, starting as an Assistant at the Tadeusz Kościuszko Cracow University of Technology. He served as a Postdoctoral Fellow at the University of Warsaw before returning to the Cracow University of Technology, where he currently holds the position of Head of the Computer Science Department.
🔍 CONTRIBUTIONS AND RESEARCH FOCUS
Dr. Kycia's research focuses on the intersection of geometry and physics. His work includes the geometric decomposition method in solving equations related to physics and geometry. His Machine Learning contributions to theoretical physics and mathematics are well-recognized in academic circles, especially for his innovative approaches to complex problems in these fields.
🏆 ACCOLADES AND RECOGNITION
Dr. Kycia's excellence in research and education has earned him numerous awards. In 2024, he received the Rector’s award for the best research performance and the best educational book at Machine Learning the Cracow University of Technology. Additionally, he was honored with the LIDER award for his outstanding research performance the same year. His earlier achievements include the prestigious KNOW Fellowship stipend at Warsaw University in 2013.
🌍 IMPACT AND INFLUENCE
Through his teaching and research, Dr. Kycia has significantly impacted both the academic community and his students. His innovative research methods have advanced the understanding of Machine Learning theoretical physics and geometry. As a department head, he has influenced the curriculum and mentoring strategies, fostering a new generation of computer science and mathematics professionals.
📚 LEGACY AND FUTURE CONTRIBUTIONS
Looking forward, Dr. Kycia aims to continue his groundbreaking research in geometry and theoretical physics. His dedication to education and research will undoubtedly leave a lasting legacy in the academic world, inspiring future researchers to explore the fascinating interplay between mathematics and physics.
NOTABLE PUBLICATIONS
- Title: Fully Tensorial Approach to Hypercomplex Neural Networks
Authors: Niemczynowicz, Agnieszka; Kycia, Radoslaw Antoni
Journal: ArXiv
Year: 2024
WOSUID: PPRN:90654638
- Title: Hypercomplex Neural Network in Time Series Forecasting of Stock Data
Authors: Kycia, Radoslaw; Niemczynowicz, Agnieszka
Journal: ArXiv
Year: 2024
WOSUID: PPRN:87078157
- Title: Some Remarks on the Inverse Problem in the Variational Calculus Within the Functional and Antiexact Differential Forms Approach
Authors: Radosław Kycia; Victor Bovdi; Anatolij Prykarpatski
Journal: Preprint
Year: 2024
DOI: 10.20944/preprints202412.1318.v1
- Title: Application of Calculus to Classic Mechanics
Authors: Vladimir Mityushev; Radoslaw Kycia; Wojciech Nawalaniec; Natalia Rylko
Journal: Book Chapter
Year: 2024
DOI: 10.1201/9781032684284-3
- Title: Asymptotic Methods in Composites
Authors: Vladimir Mityushev; Radoslaw Kycia; Wojciech Nawalaniec; Natalia Rylko
Journal: Book Chapter
Year: 2024
DOI: 10.1201/9781032684284-9