Vasuk Gautam | Bioinformatics | Best Researcher Award

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Dr. Vasuk Gautam | Bioinformatics | Best Researcher Award

Sr.Scientist | Norton Research Institute | United States

Dr. Vasuk Gautam is an emerging researcher whose work spans metabolomics, biomarker discovery, and computational methods for enhancing analytical confidence in high-throughput biological studies. With a record of 24 peer-reviewed publications, 13 h-index and over 3,102 citations, Gautam has established a strong early-career footprint marked by methodological innovation and extensive interdisciplinary collaboration. His contributions focus particularly on developing frameworks for improving metabolite identification accuracy—an essential challenge in metabolomics that directly influences the reliability of biomedical and environmental research. Notably, his recent work introducing the concept of “Identification Probability” provides a transferable, automated metric for evaluating identification confidence, positioning it as a potentially transformative tool for large-scale metabolomic pipelines. In parallel, Gautam has contributed significantly to the development of MarkerDB 2.0, a comprehensive biomarker database that integrates molecular, clinical, and contextual information to support precision medicine, translational research, and global health initiatives. His scholarship reflects a blend of computational rigor, domain expertise, and a commitment to open-access scientific resources. Gautam’s collaborations include partnerships with over 180 co-authors, underscoring his active engagement with diverse research groups and his ability to contribute meaningfully to multi-institutional projects. This collaborative network spans biochemistry, bioinformatics, systems biology, and clinical sciences, highlighting the broad applicability and relevance of his expertise. Through both his methodological contributions and his involvement in global data-resource efforts, Gautam’s work supports reproducibility, accessibility, and evidence-based discovery in molecular life sciences. His growing citation impact and participation in influential open-access initiatives demonstrate both scientific merit and societal relevance, particularly in areas related to disease diagnostics, personalized healthcare, and data-driven research infrastructures.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Wishart, D. S., Guo, A. C., Oler, E., Wang, F., Anjum, A., Peters, H., Dizon, R., … (2022). HMDB 5.0: The human metabolome database for 2022. Nucleic Acids Research, 50(D1), D622–D631.

Cited by: 2116

2. Knox, C., Wilson, M., Klinger, C. M., Franklin, M., Oler, E., Wilson, A., Pon, A., Cox, J., … (2024). DrugBank 6.0: The DrugBank knowledgebase for 2024. Nucleic Acids Research, 52(D1), D1265–D1275.

Cited by: 1112

3. Wishart, D. S., Han, S., Saha, S., Oler, E., Peters, H., Grant, J. R., Stothard, P., … (2023). PHASTEST: Faster than PHASTER, better than PHAST. Nucleic Acids Research, 51(W1), W443–W450.

Cited by: 394

4. Wishart, D. S., Tian, S., Allen, D., Oler, E., Peters, H., Lui, V. W., Gautam, V., … (2022). BioTransformer 3.0: A web server for accurately predicting metabolic transformation products. Nucleic Acids Research, 50(W1), W115–W123.

Cited by: 160

5. Wang, F., Allen, D., Tian, S., Oler, E., Gautam, V., Greiner, R., Metz, T. O., … (2022). CFM-ID 4.0: A web server for accurate MS-based metabolite identification. Nucleic Acids Research, 50(W1), W165–W174.

Cited by: 115

Dr. Vasuk Gautam’s work advances the reliability and scalability of metabolomic and biomarker research, enabling more accurate diagnostics and deeper biological insight. By developing robust identification metrics and contributing to global data resources, he helps accelerate scientific discovery, support precision medicine, and enhance evidence-based decision-making across research, healthcare, and industry.

Béchir Béjaoui | Bioinformatics | Editorial Board Member

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Prof. Béchir Béjaoui | Bioinformatics | Editorial Board Member

Researcher | National Institute of Marine Sciences and Technologies | Tunisia

Prof. Béchir Béjaoui is a distinguished marine and environmental scientist affiliated with the National Institute of Marine Sciences and Technologies (INSTM) in Carthage, Tunisia. His research primarily focuses on coastal and marine ecosystem dynamics, climate change impacts, and the application of advanced modeling and machine learning techniques to assess and manage aquatic environments. Over his career, Dr. Béjaoui has authored 34 scientific publications, collectively cited more than 1,130 times across 954 documents, reflecting his strong academic influence and the global relevance of his research. His work integrates remote sensing, numerical modeling, and ecological indicators to evaluate trophic states, water quality, and biodiversity in sensitive environments, such as the Ichkeul Lake Ramsar sanctuary—a UNESCO biosphere reserve and a critical wetland ecosystem in North Africa. Dr. Béjaoui’s studies, including the development of innovative models such as the TRIX-XGBoost Trophic Model and data-driven approaches for forecasting environmental change, provide valuable insights into sustainable wetland management under anthropogenic and climatic pressures. With over 180 international collaborators, his research reflects a strong commitment to multidisciplinary and cross-institutional cooperation, enhancing the global understanding of marine system resilience. His contributions extend beyond academia to inform environmental policy, conservation planning, and adaptive management strategies, bridging the gap between scientific research and socio-environmental decision-making. Through his sustained scholarly output and leadership in marine ecosystem modeling, Dr. Béjaoui continues to play a pivotal role in advancing data-driven sustainability solutions in the Mediterranean and beyond.

Profile: Scopus

Featured Publications

1. Béjaoui, B., … (2025). TRIX-XGBoost Trophic Model for assessing the trophic status of Ichkeul Lake, a Ramsar sanctuary in Northern Tunisia. Marine Pollution Bulletin.

2. Béjaoui, B., … (2025). Remote sensing and numerical modeling to assess the drought in Ichkeul Lake, a RAMSAR wetland and UNESCO biosphere reserve, under climate change. Regional Studies in Marine Science.

3. Béjaoui, B., … (2025, Conference Paper). Machine learning techniques for forecasting the effect of climate change and anthropogenic pressures on coastal wetlands (Ichkeul Lake, Ramsar site).

Prof. Béjaoui’s work drives innovation in environmental modeling, offering scientifically grounded tools to safeguard fragile aquatic ecosystems against climate and human-induced stressors. His research vision promotes sustainable management of marine and wetland resources, contributing to global efforts toward ecological resilience, climate adaptation, and sustainable development.