Piotr Porwik | Machine Learning and AI Applications | Best Researcher Award

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Prof. Dr. Piotr Porwik | Machine Learning and AI Applications | Best Researcher Award

University of Silesia | Poland

Prof. Dr. Piotr Porwik is a full professor in the Institute of Computer Science at the University of Silesia in Katowice, specializing in engineering and technical sciences. He earned his M.Sc. in computer science from the University of Silesia in 1978, his Ph.D. in 1985, and completed his habilitation in 2006 at AGH University of Science and Technology in Krakow. His research spans machine learning, biometrics, image processing, biomedical imaging, and spectral methods for Boolean functions. Across his career, he has authored 81 scientific documents that have attracted 1,003 citations from 783 citing documents, and he holds an h-index of 17. He has published extensively in journals, international conferences, books, and book chapters, while also supervising Master’s and Ph.D. students. Prof. Porwik has served in major academic leadership roles, including Deputy Dean and Director of the Institute, and played a key role in shaping academic publishing as Editor-in-Chief of the Journal of Medical Informatics and Technologies. His achievements have been recognized through numerous distinctions, including the Bronze Cross of Merit and multiple awards from the President of the University of Silesia for scientific accomplishments. His work continues to advance biometric security, classifier development, and biomedical informatics, underscoring his long-standing academic influence and research innovation.

Profiles : Scopus | Orcid

Featured Publications

Wrobel, K., Porwik, P., & Orczyk, T. (2025). “Evaluation of the Effectiveness of Ranking Methods in Detecting Feature Drift in Artificial and Real Data” in (Book) / Lecture Notes in?

Mensah Dadzie, B., & Porwik, P. (2025). “Feature-Based Drift Detection in Non-stationary Data Streams Using Multiple Classifiers: A Comprehensive Analysis” in (Book)

Porwik, P., Orczyk, T., Wrobel, K., & Mensah Dadzie, B. (2025). “A Novel Method for Drift Detection in Streaming Data Based on Measurement of Changes in Feature Ranks” in Journal of Artificial Intelligence and Soft Computing Research, (DOI: 10.2478/jaiscr-2025-0008).

Porwik, P., Orczyk, T., & Japkowicz, N. (2024). “Supervised and Unsupervised Analysis of Feature Drift in a New Type of Detector” in Preprint (Research Square)

Porwik, P., Orczyk, T., & Doroz, R. (2022). “A Stable Method for Detecting Driver Maneuvers Using a Rule Classifier” in Lecture Notes in Computer Science

David Almorza | Statistical Analysis | Best Researcher Award

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Dr. David Almorza | Statistical Analysis | Best Researcher Award

University of Cádiz | Spain

Dr. David Almorza Gomar is a Profesor Titular in the Department of Statistics and Operational Research at the University of Cádiz, Spain. He earned his Ph.D. in Mathematics from the University of Cádiz in 1998, with a doctoral thesis on the characterization of the Pólya distribution. Over his academic career, he has authored more than 85 publications. According to Google Scholar, his work has been cited 379 times, and he holds an h-index of 11. His early research focused on environmental statistics, probability distributions and genetics, while more recently he has explored applied statistics in education, well‑being (happiness), and sports, particularly university football. Among his notable contributions is a 2022 study evaluating an experience of “academic happiness” through football, published in the International Journal of Environmental Research and Public Health, showing how rule changes promoted fair play and reduced disciplinary sanctions. He has also applied multivariate statistical techniques to maritime safety in a recent work on the Paris MoU inspections. For his scientific achievements, he has been recognized by the Genetic Society of Argentina with a medal. In sum, Dr. Almorza is a versatile statistician whose interdisciplinary research spans mathematics, genetics, education, and sport, contributing both theoretical insight and practical societal impact.

Profiles : Scopus | Orcid

Featured Publications

Bazco Nogueras, E., Sanagustín-Fons, V., & Almorza-Gomar, D. (2025). “Job stress in industrial company: The impact of gender, age and seniority on tension levels” in Anduli.

Almorza Salas, D. (2025). “La imprenta en Cádiz: 1960, 1961 y 1962” in Gaditana-Logía.

Prieto, J. M., Almorza, D., Amor-Esteban, V., & Endrina, N. (2025). “Review of ship risk analyses through deficiencies found in port state inspections” in Journal of Marine Science and Engineering.

Prieto, J. M., Almorza, D., Amor-Esteban, V., Muñoz-Perez, J. J., & Jigena-Antelo, B. (2025). “Identification of risk patterns by type of ship through correspondence analysis of port state control: A differentiated approach to inspection to enhance maritime safety and pollution prevention” in Oceans.

Almorza, D., Prieto, J. M., Amor-Esteban, V., & Piniella, F. (2024). “Port state control inspections under the Paris Memorandum of Understanding and their contribution to maritime safety: Additional risk classifications and indicators using multivariate techniques” in Journal of Marine Science and Engineering.