Urszula Zielenkiewicz | Industry Collaboration | Outstanding Contribution Award

Dr. Urszula Zielenkiewicz | Industry Collaboration | Outstanding Contribution Award

Dr. Urszula Zielenkiewicz | Institute of Biochemistry and Biophysics PAS | Poland

Dr. Urszula Zielenkiewicz is an accomplished biologist and biochemist at the Institute of Biochemistry and Biophysics of the Polish Academy of Sciences, where she serves as an adjunct researcher and long-standing member of the scientific community. She holds a D.Sc. (Habilitation, 2015) in Biology from the University of Warsaw, a Ph.D. in Biochemistry (2001) from the same Institute, and an M.Sc. in Biology with a specialization in microbiology from the University of Warsaw (1980). Her early academic experience includes advanced training at the Department of Microbiology, Faculty of Pharmacy, Universidad Autónoma de Barcelona, Spain. Dr. Zielenkiewicz’s research career spans over three decades, beginning as a biologist in 1993 and evolving through roles as a research assistant and later adjunct scientist. Her work has significantly advanced the understanding of bacterial toxin–antitoxin systems, mobile genetic elements, and microbial biodiversity. Since 2007, she has led the research group “Microorganisms Potentially Useful in Bioremediation,” conducting influential projects in metagenomics, environmental microbiology, and microbial communities inhabiting metal-polluted soils, agricultural ecosystems, hydrogen-producing bioreactors, and methanogenic sludge. She has authored 41 original research articles, three review papers, and two book chapters, achieving a cumulative impact factor exceeding 123 and over 1,000 citations, with an h-index of 17. Her publications span high-impact journals such as Journal of Evolutionary Biology, Scientific Reports, Genome Biology and Evolution, Frontiers in Microbiology, Microbial Ecology, and International Journal of Molecular Sciences. Her scholarly contributions also include pioneering insights into apoptosis evolution, soil microbial ecology, extremophilic biofilms, and protein–protein interaction inhibitors relevant to SARS-CoV-2. Widely recognized for her interdisciplinary expertise bridging molecular biology, microbiology, biochemistry, and environmental biotechnology, Dr. Zielenkiewicz continues to shape contemporary understanding of microbial adaptation, metabolic diversity, and biotechnological applications of microorganisms.

Profile: Google Scholar

Featured Publications

Wolińska, A., Kuźniar, A., Zielenkiewicz, U., Izak, D., & Szafranek-Nakonieczna, A. (2017). Bacteroidetes as a sensitive biological indicator of agricultural soil usage revealed by a culture-independent approach. Applied Soil Ecology, 119, 128–137.

Sikora, A., Błaszczyk, M., Jurkowski, M., & Zielenkiewicz, U. (2013). Lactic acid bacteria in hydrogen-producing consortia: On purpose or by coincidence? In Lactic acid bacteria – R & D for food, health and livestock purposes (pp. 488–514).

Zielenkiewicz, U., & Cegłowski, P. (2001). Mechanisms of plasmid stable maintenance with special focus on plasmid addiction systems. Acta Biochimica Polonica, 48(4), 1003–1023.

Tomczyk-Żak, K., & Zielenkiewicz, U. (2016). Microbial diversity in caves. Geomicrobiology Journal, 33(1), 20–38.

Zielenkiewicz, U., & Cegłowski, P. (2005). The toxin–antitoxin system of the streptococcal plasmid pSM19035. Journal of Bacteriology, 187(17), 6094–6105.

Chojnacka, A., Szczęsny, P., Błaszczyk, M. K., Zielenkiewicz, U., Detman, A., & others. (2015). Noteworthy facts about a methane-producing microbial community processing acidic effluent from sugar beet molasses fermentation. PLoS ONE, 10(5), e0128008.

Fengzhou Wang | Industry Collaboration | Best Researcher Award

Mr. Fengzhou Wang | Industry Collaboration | Best Researcher Award

Mr. Fengzhou Wang | Zhe Jiang University | China

The nominee is an emerging researcher in the field of industrial engineering, currently engaged in advanced studies with a strong focus on traffic big data analytics, machine learning, and large-scale AI models. Their academic journey began with foundational training in system modeling and optimization algorithms, which laid the groundwork for their present research direction. Through this evolving academic path, the nominee has developed a growing interest in applying computational intelligence to transportation systems, contributing to the interdisciplinary space where engineering, data science, and artificial intelligence converge. Despite being at an early stage of their research career, the nominee has participated in scholarly work that includes publishing in reputable indexed journals. Their contribution to the article on segmented parabolic adjustment of the FAST reflector demonstrates proficiency in programming computation, data visualization, and scientific writing—skills essential for modern research environments. While the nominee has not yet undertaken formal research projects, consultancy assignments, patents, or editorial responsibilities, they remain committed to expanding their expertise and research footprint. The nominee possesses a strong sense of scientific curiosity and expresses an aspiration to contribute meaningfully to their field in the future. They acknowledge current limitations related to resources, knowledge, and experience but emphasize a forward-looking mindset rooted in creativity and innovative thinking. Their research interests reflect an alignment with emerging global priorities, particularly the integration of AI and big data for intelligent transportation systems. Through academic participation and continued skill development, the nominee aims to build a foundation for impactful research and real-world innovation. By engaging with the research community and enhancing technical competencies, they seek to evolve into a contributor capable of influencing advancements in transportation engineering, machine learning applications, and AI-driven solutions.

Profiles: ScopusOrcid 

Featured Publications

Wang, F., Kang, Y., & Guo, F. (2024). Segmented parabolic adjustment of the FAST reflector utilizing spatial coordinate rotation transformation. Measurement Science and Technology, 35(10). https://doi.org/10.1088/1361-6501/ad5c93