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.

Daniel Glossman-Mitnik | Computational Biology | Best Academic Researcher Award

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Dr. Daniel Glossman-Mitnik | Computational Biology | Best Academic Researcher Award

Emeritus Researcher|Center for Research in Advanced Materials | Mexico

Dr. Daniel Glossman-Mitnik is a prominent researcher at the Centro de Investigación en Materiales Avanzados (CIMAV), Chihuahua, Mexico, recognized internationally for his extensive contributions to computational and theoretical chemistry. His work primarily employs Density Functional Theory (DFT) and Conceptual DFT (CDFT) to investigate the structural, electronic, and reactive properties of molecules and materials relevant to nanotechnology, materials science, and bioactive compounds. With a prolific record of 62 peer-reviewed publications, his research has accumulated over 817 citations, achieving an h-index of 19, which reflects the sustained impact and academic quality of his scientific output. Dr. Glossman-Mitnik’s recent studies encompass a wide spectrum of applications, including the design of triphenylamine-based sensitizers and Cu(I) complexes for dye-sensitized solar cells (DSSCs), as well as computational evaluations of marine natural products and therapeutic peptides for drug discovery. His scholarly endeavors are characterized by interdisciplinary collaboration, having co-authored with more than 120 researchers worldwide, fostering innovation through theoretical–experimental integration. Beyond his methodological expertise, his research has meaningful social and technological implications, contributing to advancements in renewable energy materials, environmentally sustainable chemical design, and computational approaches to pharmacology. By combining rigorous quantum-chemical modeling with practical applications, Dr. Glossman-Mitnik’s work exemplifies how theoretical insights can drive real-world scientific progress. His career reflects a profound commitment to advancing the global understanding of molecular behavior and material performance, positioning him as a leading figure in contemporary computational chemistry.

Profiles: Scopus | Google Scholar

Featured Publications

1. Rodríguez-Valdez, L. M., Villamisar, W., Casales, M., González-Rodríguez, J. G., & others. (2006). Computational simulations of the molecular structure and corrosion properties of amidoethyl, aminoethyl and hydroxyethyl imidazolines inhibitors. Corrosion Science, 48(12), 4053–4064.
Cited by: 248

2. Rodríguez-Valdez, L. M., Martínez-Villafañe, A., & Glossman-Mitnik, D. (2005). Computational simulation of the molecular structure and properties of heterocyclic organic compounds with possible corrosion inhibition properties. Journal of Molecular Structure: THEOCHEM, 713(1), 65–70.
Cited by: 233

3. Glossman-Mitnik, D. (2013). Computational study of the chemical reactivity properties of the Rhodamine B molecule. Procedia Computer Science, 18, 816–825.
Cited by: 131

4. Mendoza-Wilson, A. M., & Glossman-Mitnik, D. (2006). Theoretical study of the molecular properties and chemical reactivity of (+)-catechin and (−)-epicatechin related to their antioxidant ability. Journal of Molecular Structure: THEOCHEM, 761(1), 97–106.
Cited by: 130

5. Gallo, M., Favila, A., & Glossman-Mitnik, D. (2007). DFT studies of functionalized carbon nanotubes and fullerenes as nanovectors for drug delivery of antitubercular compounds. Chemical Physics Letters, 447(1), 105–109.
Cited by: 128

Dr. Daniel Glossman-Mitnik’s work advances global innovation by integrating computational chemistry with materials science and biomedicine, enabling the rational design of sustainable materials and therapeutic compounds. His research bridges theory and application, contributing to cleaner energy technologies, drug discovery, and the broader understanding of molecular behavior for societal and industrial benefit.