Dr. Radosław Kycia – Machine Learning – Excellence in Research

Dr. Radosław Kycia - Machine Learning - Excellence in Research

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

Assist Prof Dr. Surachate Kalasin –  Artificial intelligence and machine learning – Excellence in Scientific Innovation Award

Assist Prof Dr. Surachate Kalasin -  Artificial intelligence and machine learning - Excellence in Scientific Innovation Award

King Mongkut's University of Thonburi - Thailand

Author profile

SCOPUS

🌱 Early academic pursuits

Surachate Kalasin embarked on his academic journey with a strong foundation in physics and applied mathematics at worcester polytechnic institute, massachusetts, where he earned dual bachelor of science degrees with honors. his passion for interdisciplinary studies led him to further his education at the university of massachusetts amherst, where he pursued dual master’s degrees in physics and electrical and computer engineering. his academic excellence and curiosity culminated in a doctorate in chemical physics from the same institution, where he developed a deep expertise in polymer science.

🧑‍🔬 Professional endeavors

following his doctoral studies, dr. kalasin advanced his research career as a postdoctoral fellow in the department of polymer science and engineering at the university of massachusetts amherst. his work during this period focused on cutting-edge research in surface analysis, polymer rheology, and the development of specialty polymers for sensing and adhesion. his multidisciplinary approach bridged the fields of physics, chemistry, and engineering, positioning him as a leading figure in the development of innovative materials and technologies.

🔬 Contributions and research focus

dr. kalasin has made significant contributions to the field of material science, particularly in the areas of polymer chemistry and surface Artificial intelligence and machine learning technology. his research includes the creation of biomimetic surfaces that replicate the complex landscapes of biological cells, with applications in biomedicine and biomaterials. he has also designed biocompatible polymer surfaces for antimicrobial devices, advancing the field of biomedical engineering. his expertise in modeling molecular interactions at the nanoscale has been pivotal in the development of new materials for coating, cleaning, and microfluidic applications.

🏅 Accolades and recognition

throughout his career, dr. kalasin has been recognized for his innovative contributions to material science and engineering. his work has led to the development of intellectual property assets, reflecting his ability to translate research into practical, impactful technologies. his Artificial intelligence and machine learning interdisciplinary research approach has earned him accolades from academic and industrial communities, solidifying his reputation as a leader in his field.

🌍 Impact and influence

dr. kalasin’s work has had a profound impact on both the scientific community and industry. his innovations in polymer science and surface Artificial intelligence and machine learning technology have paved the way for new applications in healthcare, particularly in the development of antimicrobial devices and biomaterials. his research has also influenced the field of environmental engineering, where his work on fluid mechanics and surface technology has contributed to more efficient and sustainable solutions.

🏛️ Legacy and future contributions

as dr. kalasin continues his research, his legacy in the field of material science is marked by his commitment to interdisciplinary innovation and practical applications. his future work is expected to further bridge the gap between scientific research and real-world solutions, particularly in the development of new materials and technologies that address global challenges. his ongoing contributions will undoubtedly continue to shape the future of material science and engineering.

Notable  Publications