Dr. Radosław Kycia - Machine Learning - Excellence in Research

Cracow University of Technology - Poland

AUTHOR PROFILE

🎓 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

EARLY ACADEMIC PURSUITS 🎓

Yosr Ghozzi embarked on her academic journey with a strong focus on technological innovation and medical applications. She earned her Ph.D. from the National Engineering School of Sfax (ENIS) in 2022, which marked the beginning of her career as a teacher-researcher. Her academic background is rooted in artificial intelligence, deep learning, and medical imaging, laying the foundation for her future contributions to the field.

PROFESSIONAL ENDEAVORS 🏥

Since 2022, Yosr has been a dedicated teacher and researcher at ISIMS/University of Sfax in Tunisia. Her work is characterized by a strong focus on artificial intelligence and its applications in medical diagnostics. Her role as a researcher has allowed her to contribute significantly to both academic and industrial projects, with a notable project being the KAFSS, which involves molecular kits and digital applications for facial prediction and dysmorphia.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Yosr's research is at the intersection of artificial intelligence and medical imaging. She has made significant strides in the use of deep learning Deep learning combined with fuzzy logic to address the challenges of content-based image retrieval (CBIR) systems. Her work in this area is particularly relevant for computer-aided diagnosis, where CBIR systems can aid in detecting abnormalities and classifying medical images based on their content and medical context.

ACCREDITATIONS AND RECOGNITION 🏆

Yosr's contributions to research have not gone unnoticed. In 2022, she was awarded the prestigious title of Best Innovative Researcher at TICAD 8. Her research has also been published in two journals indexed by SCI and Scopus, and she has been involved in the editorial process of six Deep learning conferences, further establishing her as a recognized figure in her field.

IMPACT AND INFLUENCE 🌍

Yosr's research has a significant impact on the medical and technological fields, particularly in the development of advanced diagnostic tools. Her collaboration with international researchers from the University of Essex and the University of Johannesburg highlights her global influence. Her Deep learning work in AI and deep learning contributes to improving the accuracy and efficiency of medical diagnostics, potentially saving lives through early detection and intervention.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Yosr Ghozzi is set to leave a lasting legacy in the fields of artificial intelligence and medical imaging. Her innovative approaches to using deep learning for medical applications position her as a pioneer in her field. As she continues her research, Yosr's contributions will likely inspire future advancements in AI-driven healthcare solutions, ensuring her work's lasting impact on both academia and the medical community.