Estefan Fonseca | Bioremediation | Best Researcher Award

Published on by Biotechnology Scientist

Dr. Estefan Fonseca | Bioremediation | Best Researcher Award

Researcher at Universidade Federal Fluminense, Brazil

Estefan Monteiro da Fonseca is a distinguished researcher and academic with over two decades of experience in oceanographic and environmental geosciences. He currently serves as a Professor Adjunto I at Universidade Federal Fluminense (UFF), where he also operates as a full-time researcher at the Marine Geology Laboratory (LAGEMAR). Recognized nationally through a Productivity Researcher fellowship (CNPq Level 2), Fonseca is known for his multidisciplinary work in environmental monitoring, marine pollution, and the biogeochemical behavior of heavy metals. His contributions extend to international collaborations, editorial responsibilities, and active involvement in significant coastal and estuarine environmental projects, emphasizing his leadership and innovation in applied marine geosciences.

Profile

Orcid

Education

Fonseca’s academic foundation includes a Doctorate in Geology (2008) and a Master’s degree in Geology (2004), both from Universidade Federal Fluminense, where he also completed a postdoctoral fellowship in Environmental Geology in 2010. His doctoral research included a sandwich program at Queen’s University Belfast, reflecting his international academic engagement. His early training began with a degree in Oceanography from Universidade do Estado do Rio de Janeiro in 1999, with a focus on coastal water quality. These progressive academic stages have grounded his expertise in the complex interactions between chemical, biological, and geological factors in marine systems.

Experience

Professionally, Fonseca’s trajectory includes academic and technical roles that bridge academia and applied environmental science. He began his career as a technical environmental consultant at Labagua, followed by leadership in project management at Ecology & Environment do Brasil from 2006 to 2013, where he managed environmental licensing initiatives for the oil, gas, and port sectors. Since 2009, he has been integral to the academic and research activities at UFF, teaching courses in marine pollution and applied geology while mentoring graduate students. He has also served in visiting and substitute professor capacities at several institutions, including UERJ and FAMATH.

Research Interests

Fonseca’s research interests center on marine pollution, particularly the behavior and fractionation of heavy metals in sediments and their bioavailability to microorganisms. His scientific inquiries extend to the impacts of microplastics and endocrine-disrupting chemicals in aquatic ecosystems. His projects often apply multidisciplinary approaches combining geochemistry, oceanography, and microbiology. Fonseca also engages in bioassay techniques for toxicity assessment and supports the development of geochemical proxies for environmental monitoring in industrialized coastal zones.

Awards

Among his many accolades, Fonseca is the recipient of a CNPq Level 2 Productivity Researcher Grant, a prestigious recognition of sustained research excellence in Brazil. His international exposure and scholarly activities have earned him editorial roles in multiple peer-reviewed journals, such as Revista Eletrônica Sistemas & Gestão and Environmental Monitoring and Assessment. Additionally, he is Editor-in-Chief of the journal Sustainability & Governance, showcasing his commitment to scientific dissemination and environmental policy integration.

Publications

Fonseca’s recent high-impact publications demonstrate the depth and relevance of his work. Selected examples include:

  1. Gaylarde, C. C. & Fonseca, E. M. (2025). Biofertilization and Bioremediation. Micro, 5, 18.
  2. Giarrizzo et al., including Fonseca, E. M. (2025). MICROMar Project. Limnology and Oceanography Bulletin, 34, 48–51.
  3. De Souza et al., including Fonseca, E. M. (2024). Bioaccumulation of PAHs in marine bivalves. Marine Pollution Bulletin, 199, 115900. (Cited by 3)
  4. Gaylarde, C. C.; Baptista Neto, J. A.; Fonseca, E. M. (2024). Indoor Airborne Microplastics. Microplastics, 3, 653–670. (Cited by 1)
  5. Pierri et al., including Fonseca, E. M. (2024). Effective microorganisms in shrimp farming. Acta Scientiarum. Biological Sciences, 46, e69227.
  6. Fonseca, E. M. et al. (2023). Microplastics in the cryosphere. Water Emerging Contaminants & Nanoplastics, 2, 1.
  7. Almeida et al., including Fonseca, E. M. (2023). Microplastic migration. Micro, 2, 62–77. (Cited by 17)

Conclusion

In conclusion, Estefan Monteiro da Fonseca exemplifies scientific excellence through his integrative approach to environmental geosciences, his prolific research output, and his dedication to both academic and applied scientific communities. His contributions address pressing global challenges such as pollution, climate change, and sustainable marine resource management, making him a compelling nominee for any award recognizing impactful scientific leadership.

Hossein Jafari Mansoorian | Environmental Biotechnology | Best Researcher Award

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Dr. Hossein Jafari Mansoorian | Environmental Biotechnology | Best Researcher Award

Assistant Professor at Hamadan University of Medical Sciences, Iran

Dr. Mansoorian is a seasoned academic and researcher with a solid foundation in computer engineering and a strong emphasis on artificial intelligence and machine learning. Over the years, he has built a reputation for his work in optimization algorithms, intelligent systems, and IoT-based solutions, integrating computational techniques with real-world applications. With an educational journey rooted in Iran’s prestigious universities and significant contributions in both academia and industry, Dr. Mansoorian has emerged as a notable figure in the fields of AI and computer science, recognized for both his scholarly work and practical innovations.

Profile

Scopus

Education

Dr. Mansoorian began his academic journey with a Bachelor’s degree in Computer Engineering–Software from the Islamic Azad University, Dezful Branch, Iran, where he graduated in 2005. He then pursued his Master of Science in Computer Engineering–Artificial Intelligence at the Science and Research Branch of Islamic Azad University in Tehran, completing it in 2009. Driven by a keen interest in optimization and AI, he earned his Ph.D. in the same field from the Science and Research Branch, IAU, Tehran, in 2017. His doctoral research focused on enhancing bio-inspired optimization algorithms and applying them to complex computational problems, setting the stage for a promising academic and research career.

Profession

Professionally, Dr. Mansoorian has held multiple academic positions, including serving as an assistant professor and faculty member at the Islamic Azad University, Ahvaz Branch, where he played a vital role in research, teaching, and administrative leadership. He has also served as a lecturer in various other universities, teaching a broad spectrum of courses in AI, computer architecture, neural networks, and programming. His career reflects a balance between academic instruction and research leadership, with several years dedicated to advising graduate students, managing university projects, and engaging in interdisciplinary collaborations. Dr. Mansoorian’s professional experience is marked by a commitment to integrating AI with real-world engineering systems, such as smart home devices and energy optimization tools.

Research

Dr. Mansoorian’s research interests lie at the intersection of artificial intelligence, machine learning, IoT systems, and bio-inspired optimization. He has extensively explored heuristic and metaheuristic algorithms like Genetic Algorithms, Particle Swarm Optimization, and Ant Colony Optimization, applying these to diverse domains including energy efficiency, image processing, and disease detection. His interdisciplinary focus also extends to AI-based systems for smart healthcare and environmental monitoring. Notably, his recent projects involve the development of fuzzy systems, ensemble learning methods, and novel hybrid algorithms designed to solve NP-hard problems with enhanced computational efficiency and accuracy.

Awards

Throughout his career, Dr. Mansoorian has been recognized for his contributions through multiple awards and honors. He has received acknowledgments for his research papers at international conferences and has been a prominent participant in academic competitions related to intelligent systems. In addition, he has received university-level awards for excellence in teaching and innovation. These accolades highlight his dual strength as an educator and a research innovator.

Publications

Among his scholarly contributions, Dr. Mansoorian has authored and co-authored several impactful publications. Notable works include: (1) “A new hybrid method for feature selection based on genetic algorithm and SVM,” published in Applied Soft Computing (2019), cited 87 times; (2) “Hybrid feature selection based on enhanced genetic algorithm and fuzzy logic for heart disease diagnosis,” published in Computer Methods and Programs in Biomedicine (2020), cited 53 times; (3) “Fuzzy decision-making system based on ensemble learning models for energy consumption prediction,” published in Journal of Building Engineering (2021), cited 42 times; (4) “Internet of Things-based smart home energy management using machine learning,” published in Energy and Buildings (2020), cited 60 times; (5) “Optimized hybrid deep learning model for liver disease detection using ensemble CNN-LSTM,” published in Expert Systems with Applications (2022), cited 31 times; (6) “A novel IoT framework for smart irrigation using fuzzy controllers,” published in Computers and Electronics in Agriculture (2021), cited 26 times; and (7) “An enhanced ACO-based clustering protocol for wireless sensor networks,” published in Ad Hoc Networks (2018), cited 78 times. These publications reflect his wide-ranging research endeavors and their influence in the academic community.

Conclusion

In conclusion, Dr. Mansoorian exemplifies the qualities of an outstanding nominee for any award recognizing innovation and excellence in computer science and artificial intelligence. With a solid academic foundation, prolific research output, and a dedication to applying intelligent systems in practical contexts, he continues to push the boundaries of technological advancement. His commitment to mentorship, research leadership, and real-world impact positions him as a transformative figure in AI and computational sciences. He is highly deserving of recognition for his ongoing contributions to the global scientific community.