Dr. Agnieszka Niemczynowicz – Machine Learning – Best Researcher Award 

Dr. Agnieszka Niemczynowicz - Machine Learning - Best Researcher Award 

Cracow University of technology - Poland

AUTHOR PROFILE 

ORCID 

EARLY ACADEMIC PURSUITS 🎓

Agnieszka Niemczynowicz began her academic journey in the field of solid-state physics, earning her Ph.D. from the Faculty of Physics and Applied Informatics at the University of Łódź, Poland, in 2014. Her early research laid a strong foundation in the fundamental aspects of physics, equipping her with a deep understanding of physical systems and analytical techniques.

PROFESSIONAL ENDEAVORS 🏢

Upon completing her doctorate, Agnieszka transitioned into academia, taking up the role of Associate Professor at the Cracow University of Technology. She has since been instrumental in bridging the gap between physics and computational sciences, expanding her research horizons to include computational and mathematical methods for analyzing complex data sets across various disciplines.

CONTRIBUTIONS AND RESEARCH FOCUS 🔍

Agnieszka’s research is at the forefront of computational analysis, focusing on multivariate statistics, chemometrics, and deep learning. She has developed advanced statistical and machine Machine Learning learning models that have found applications in diverse fields such as engineering, biology, medicine, and management. Her work is characterized by its interdisciplinary approach, integrating complex data analysis methods into practical applications.

ACCREDITATIONS AND RECOGNITION 🏅

A prolific researcher, Agnieszka has authored around 50 publications in international journals, contributing significantly to her field. Her excellence in research was recognized with the Machine Learning prestigious Doak Award in 2022, highlighting her impactful contributions to the scientific community and her role as a thought leader in computational analysis.

IMPACT AND INFLUENCE 🌍

Agnieszka’s work has had a significant impact on how complex analytical data is interpreted and utilized across various sectors. Her models have improved the accuracy of data-driven Machine Learning decisions in numerous applications, thereby enhancing the efficiency and effectiveness of processes in engineering, biology, medicine, and more.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Currently leading international research grants, Agnieszka investigates the mathematical foundations of hypercomplex neural networks and their applications. Her ongoing work promises to further unravel the complexities of data analysis, pushing the boundaries of what machine learning and computational methods can achieve. Her legacy lies in her pioneering efforts to integrate advanced mathematical models into practical solutions, ensuring that her influence will be felt across multiple disciplines for years to come.

NOTABLE PUBLICATIONS 

  • Title: A critical analysis of the theoretical framework of the Extreme Learning Machine
    Authors: Irina Perfilieva, Nicolás Madrid, Manuel Ojeda-Aciego, Piotr Artiemjew, Agnieszka Niemczynowicz
    Journal: Neurocomputing
  • Title: Use of physicochemical, FTIR and chemometric analysis for quality assessment of selected monofloral honeys
    Authors: Monika Kędzierska-Matysek, Anna Teter, Mariusz Florek, Arkadiusz Matwijczuk, Agnieszka Niemczynowicz, Alicja Matwijczuk, Grzegorz Czernel, Piotr Skałecki, Bożena Gładyszewska
    Journal: Journal of Apicultural Research
  • Title: Conclusions
    Authors: Joanna Nieżurawska, Radosław Antoni Kycia, Agnieszka Niemczynowicz
    Journal: (Book chapter, not a journal)
  • Title: Current research methods in mathematical and computer modelling of motivation management
    Authors: Agnieszka Niemczynowicz, Radosław Antoni Kycia
    Journal: (Book chapter, not a journal)
  • Title: Introduction
    Authors: Joanna Nieżurawska, Radosław Antoni Kycia, Agnieszka Niemczynowicz
    Journal: (Book chapter, not a journal)

Prof. Larbi Boubchir – Artificial intelligence – Best Researcher Award

Prof. Larbi Boubchir - Artificial intelligence - Best Researcher Award

University of Paris 8 - France

Author Profile

SCOPUS 

ORCID

🌱 Early academic pursuits

Larbi Boubchir began his academic journey with a strong foundation in engineering, obtaining a bachelor's degree (beng) in engineering. his passion for advancing knowledge led him to pursue further studies, earning a diplôme d'études approfondies (dea) in applied mathematics and signal processing. he culminated his formal education with a phd and habilitation à diriger des recherches (hdr), solidifying his expertise in computer science and signal processing.

💻 Professional endeavors

Professor boubchir is currently a full professor at the university of paris 8, where he has made significant contributions since september 2021. he holds several key positions, including deputy director of the liasd laboratory and head of the iusd research group. his leadership extends to academic programs as well, where he oversees master's programs in cyber security, data science, and big data within the department of computer science & digital technologies. prior to his tenure at paris 8, he contributed to cutting-edge research at the french national centre for scientific research (cnrs) and served as a teaching-research fellow at northumbria university, uk.

🧠 Contributions and research focus

Dr. boubchir's research interests span a broad spectrum of cutting-edge fields, including artificial intelligence, biometrics, artificial learning, Artificial intelligence feature engineering, biomedical signal processing, and image processing. he has authored and co-authored over 100 publications, reflecting his deep engagement with these domains. his research not only advances theoretical knowledge but also has practical applications in areas like cybersecurity and healthcare, making significant impacts on both academia and industry.

🏅 Accolades and recognition

Professor boubchir's expertise has been widely recognized in the academic community. he is a senior member of the ieee and is affiliated with various prestigious ieee societies such as ieee sps, ieee embs, ieee smc, ieee computer society, and ieee biometrics council. his leadership in organizing international workshops, including those on machine learning for eeg signal processing and artificial learning for cybersecurity, Artificial intelligence underscores his standing as a thought leader in his field. in addition to his academic accolades, he serves on editorial boards and as an associate editor for numerous journals, further establishing his influence in the global research community.

🌍 Impact and influence

Through his research and leadership, dr. boubchir has significantly influenced the fields of artificial intelligence and data science. his work on biomedical signal processing and image processing has contributed to advancements in healthcare technologies, while his research in Artificial intelligence cybersecurity has provided new insights into protecting digital systems. his role in organizing international workshops has fostered global collaboration and knowledge exchange, further extending his impact beyond france to the international research community.

📚 Legacy and future contributions

As a full professor and a leader in multiple academic and research initiatives, larbi boubchir's legacy is one of innovation and education. his ongoing research and mentorship are shaping the next generation of scientists and engineers. with his continuous involvement in cutting-edge research and his dedication to academic excellence, professor boubchir is poised to make even more significant contributions to the fields of artificial intelligence, cybersecurity, and biomedical engineering in the years to come.

Notable Publications