Mohsen Vazifedoost | Quality Control and Quality Assurance | Research Excellence Award

Assoc. Prof. Dr. Mohsen Vazifedoost | Quality Control and Quality Assurance | Research Excellence Award

Associate Professor | National University of Skills | Iran

Dr. Mohsen Vazifedoost is an active researcher in food science and technology, with scholarly contributions focused on food processing and preservation, functional and synbiotic foods, food microbiology, edible coatings, nano/microencapsulation, advanced extraction technologies, and predictive modeling using artificial neural networks. The research portfolio emphasizes improving food quality, safety, shelf-life extension, and process optimization through experimental and data-driven approaches. The published body of work demonstrates interdisciplinary integration of food engineering, biotechnology, and modeling techniques applied to real food systems. The researcher has produced 27 research documents, primarily peer-reviewed journal articles indexed in major international databases, contributing to sustained academic visibility. These publications have received 268 citations, reflecting measurable impact within the scientific community, with an h-index of 9, indicating consistent citation performance across multiple studies. Overall, the research output highlights a systematic and application-oriented approach to advancing contemporary food science and technology.

Citation Metrics (Google Scholar)

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268
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27
Documents

9
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Ana Carolina Kogawa | Quality Control & Quality Assurance | Best Industrial Research Award

Assist. Prof. Dr. Ana Carolina Kogawa | Quality Control & Quality Assurance | Best Industrial Research Award

Professor and Researcher | Universidade Federal de Goias | Brazil

Dr. Ana Carolina Kogawa has an established scientific profile with a strong contribution to pharmaceutical, analytical, and green chemistry research. Their scholarly output comprises 67 peer-reviewed documents, reflecting sustained productivity and engagement with internationally recognized journals. The body of work has received 1,145 citations, demonstrating significant impact and visibility within the scientific community. An h-index of 17 highlights consistent citation performance across multiple publications. Research activities focus on the development and validation of analytical methods, pharmaceutical quality control, bioanalytical techniques, and the application of sustainable and green chemistry principles. The publications include original research articles and critical reviews addressing method development, characterization of pharmaceutical compounds, and environmentally friendly analytical approaches. Collectively, this work contributes to improving analytical reliability, regulatory compliance, and sustainability in pharmaceutical sciences. The researcher’s citation record and publication metrics indicate a solid influence on methodological advancement and ongoing relevance in analytical and pharmaceutical research fields.

Citation Metrics (Scopus)

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1145
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67
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17
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Mathurin Dongmo Wamba | Laboratory Management & Accreditation | Best Researcher Award

Dr. Mathurin Dongmo Wamba | Laboratory Management & Accreditation | Best Researcher Award

Doctor | University of Bern | Switzerland

Dr. Mathurin Dongmo Wamba is an emerging geophysics researcher whose scientific contributions span global and regional seismic tomography, environmental seismology, geothermal energy exploration, and mantle plume imaging, reflected through 8 published documents, 74 citations, and an h-index of 3. His research integrates advanced seismic imaging, waveform modeling, inverse theory, and data-space cross-validation to investigate deep Earth structures, including plume conduits, mantle ponding zones, and upper-mantle heterogeneities across the Indian and Pacific Oceans. He has produced influential studies on deep mantle plumbing beneath La Réunion and Comoros hotspots, full-waveform tomography of the Indian Ocean, and cross-validated interpretations of mantle structure using global tomographic models. His work also extends to environmental seismology, where he links seismic signals with hydrodynamic and meteorological processes to monitor natural hazards such as slope failures, river discharge variability, wind-induced lake responses, and methane degassing, using multimodal datasets collected from ocean-bottom seismometers, hydrophones, ADCPs, and weather stations. He applies multidisciplinary techniques combining signal processing, numerical modeling, machine learning, and climate-linked data analysis to develop innovative approaches for subsurface imaging and hazard monitoring in marine and lacustrine environments. His research contributions encompass major international projects such as MERMAID, RHUM-RUM, and regional environmental monitoring initiatives in Switzerland. Through continued publication, scholarly reviews, and collaborative work across seismology, geodynamics, and environmental geoscience, he advances high-resolution imaging frameworks and novel observational strategies that deepen understanding of Earth structure and geophysical processes.

Profiles: Scopus | ORCID  

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