Murat Emec | Ecology Informatics | Editorial Board Member

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Dr. Murat Emec | Ecology Informatics | Editorial Board Member

Istanbul University | Turkey

Dr. Murat Emec is an accomplished researcher whose work sits at the intersection of artificial intelligence, data science, health informatics, sustainability, and the Internet of Things, with a strong emphasis on applying machine learning to real-world societal challenges. His research portfolio spans advanced deep learning models for intrusion detection in IoT networks, ensemble machine learning approaches for air quality prediction, potable water quality forecasting for sustainable resource management, and the development of specialized IoT datasets aimed at improving cybersecurity analysis. He has contributed to innovative methods in hyperparameter optimization, feature engineering, and data preprocessing, supporting the development of robust predictive systems across multiple domains. Dr. EMEÇ’s work extends into medical and biochemical applications, including machine learning-based LDL prediction, radiomics-driven diagnostic modelling in oncology and neurology, and prognostic modelling using MRI data. His research also covers complex environmental and agricultural modelling, such as global wheat water footprint estimation using ensemble learning. Beyond technical fields, he has explored the societal impact of generative AI, healthcare insurance cost prediction models, and behavioural and gait analysis using sensor-based systems. He has co-developed machine learning solutions for transportation analytics, including large-scale airline ticket price prediction, and contributed to studies on pandemic data modelling. His scholarship reflects a consistent focus on designing data-driven, adaptive, and intelligent systems that enhance sustainability, healthcare decision-making, cybersecurity resilience, and smart environments. Overall, his research demonstrates a multidisciplinary orientation, integrating computational innovation with practical applications in health, environment, and digital transformation.

Profile: Google Scholar

Featured Publications

Emeç, M., & Özcanhan, M. H. (2022). A hybrid deep learning approach for intrusion detection in IoT networks. Advances in Electrical and Computer Engineering, 22(1), 3–12.

Emeç, M., & Yurtsever, M. (2024). A novel ensemble machine learning method for accurate air quality prediction. International Journal of Environmental Science and Technology.

Yurtsever, M., & Emeç, M. (2023). Potable water quality prediction using artificial intelligence and machine learning algorithms for better sustainability. Ege Academic Review, 23(2), 265–278.

Emeç, M., & Özcanhan, M. H. (2023). ROUT-4-2023: RPL based routing attack dataset for IoT.

Emeç, M., & Tecim, V. (2016). RFID teknolojisi kullanarak kampüs harcama sistemlerinin tasarlanması ve uygulanması: Üniversite örneği. Yönetim Bilişim Sistemleri Dergisi, 2(1), 77–90.

Brad Farmilo | Ecology | Editorial Board Member

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Dr. Brad Farmilo | Ecology | Editorial Board Member

Senior Scientist | Arthur Rylah Institute for Environmental Research | Australia

Dr. Brad Farmilo is a dedicated environmental scientist whose work spans ecological conservation, biodiversity management, and the study of plant community dynamics in fragmented landscapes. With a strong academic foundation in biological and environmental sciences, he has built a career marked by scientific leadership, field-based research, and collaborative problem-solving. His professional experience includes guiding multidisciplinary teams, designing and delivering ecological monitoring programs, conducting advanced data analyses, and contributing to conservation strategy development. His research has explored themes such as weed management in sensitive habitats, ecological responses within forest fragments, and patterns of species distribution across altered landscapes. Through publications in respected scientific journals, he has provided evidence-based insights that support conservation planning and environmental policy. Dr. Farmilo’s influence is reflected not only in his scientific outputs but also in his commitment to mentoring emerging researchers and fostering collaborative projects that bridge science and practice. His expertise with statistical analysis and geospatial tools enhances the precision and impact of his findings, while his contributions to grant development underscore his role in advancing innovative environmental research. Widely regarded for his thoughtful approach to ecological challenges, Dr. Farmilo continues to shape the understanding of landscape-scale biodiversity processes and supports the development of sustainable conservation initiatives that benefit both ecosystems and the scientific community.

Profiles: Scopus | Google Scholar

Featured Publications

Farmilo, B. J., Melbourne, B. A., Camac, J. S., & Morgan, J. W. (2014). Changes in plant species density in an experimentally fragmented forest landscape: Are the effects scale-dependent? Austral Ecology, 39(4), 416–423.

Farmilo, B. J., & Nimmo, D. G., & Morgan, J. W. (2013). Pine plantations modify local conditions in forest fragments in southeastern Australia: Insights from a fragmentation experiment. Forest Ecology and Management, 305, 264–272.

Schultz, N., Keatley, M., Antos, M., Wong, N., Moxham, C., Farmilo, B., … (2017). The golf ball method for rapid assessment of grassland structure. Ecological Management & Restoration, 18(2), 134–140.

Morgan, J. W., & Farmilo, B. J. (2012). Community (re)organization in an experimentally fragmented forest landscape: Insights from occupancy–scale patterns of common plant species. Journal of Vegetation Science, 23(5), 962–969.

Moxham, C., Dorrough, J., Bramwell, M., & Farmilo, B. J. (2016). Fire exclusion and soil texture interact to influence temperate grassland flora in south-eastern Australia. Australian Journal of Botany, 64(5), 417–426.

Morteza Hazbei | Built Environment Ecology | Best Researcher Award

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Dr. Morteza Hazbei | Built Environment Ecology | Best Researcher Award

Research associate | Concordia University | Canada

Dr. Morteza Hazbei is a dedicated scholar and practitioner in architecture and urban design, focusing on sustainable architecture, urban livability, inclusive urbanism, and resiliency. His work integrates parametric and computational design with a deep understanding of contextual influences in the built environment, aiming to optimize architectural solutions for functionality, sustainability, and social value. He has contributed to both academic and professional spheres, engaging in innovative research projects that explore the intersections of design, biodiversity, livability, and quality in urban spaces. His research investigates the impact of digital and algorithmic tools on architectural practice, addressing challenges related to context, optimization complexity, and environmental performance. In addition to his research, he has developed and taught graduate and undergraduate courses, emphasizing sustainable and equitable design principles, and has supervised numerous student projects and theses. Hazbei’s professional practice includes architectural design and project supervision, emphasizing sustainable and contextually responsive approaches. He has published extensively, including peer-reviewed journal articles, book chapters, and conference presentations, focusing on parametric design, eco-didactic approaches, and quality in the built environment. His work has been recognized for its academic excellence and societal relevance, contributing to knowledge mobilization, public engagement, and interdisciplinary collaboration. Active in academic service, he has served as a reviewer for multiple journals, participated in jury panels, moderated conferences, and contributed to committees that promote research dissemination and graduate student representation. His scholarship bridges theory, technology, and practice, fostering innovative approaches to architecture and urban design that prioritize sustainability, livability, and social impact.

Profile: Scopus | Orcid | Google Scholar

Featured Publications

Hazbei, M., Yesayan, T., Yu, N., Hutt-Taylor, K., & Ziter, C. D. (2025). Lessons from exploring the relationship between livability and biodiversity in the built environment. Urban Forestry & Urban Greening. Advance online publication.

Cucuzzella, C., Hazbei, M., & Asgari, M. H. (2024). Parametrizing the unmeasurable: Urban qualities as quantitative parameters for computer games. International Journal of Architectural Computing.

Hazbei, M., Rafati, N., Kharma, N., & Eicker, U. (2024). Optimizing architectural multi-dimensional forms: A hybrid approach integrating approximate evolutionary search, clustering and local optimization. Energy and Buildings.

Rafati, N., Hazbei, M., & Eicker, U. (2023). Louver configuration comparison in three Canadian cities utilizing NSGA-II. Building and Environment.

Hazbei, M., Cucuzzella, C., & Mauro, G. M. (2023). Revealing a gap in parametric architecture’s address of “context.”

Mohsen Shams Solari | Environment | Best Researcher Award

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Dr. Mohsen Shams Solari | Environment | Best Researcher Award

Researcher | Tehran University | Iran

Mohsen Shams Solari is an environmental engineer and physicist whose research integrates atmospheric chemistry, air pollution control, energy sustainability, and advanced environmental technologies. His expertise spans renewable energy, aerosol science, air quality monitoring, and nanotechnology applications, with a strong focus on practical solutions for cleaner energy production in the oil, gas, and power sectors. He has extensive experience managing industrial-scale projects involving electron beam technologies for wastewater and flue gas treatment, including pilot plant development, engineering design, and techno-economic assessments. His academic background combines environmental engineering with condensed matter and solid-state physics, enabling a multidisciplinary approach to complex environmental challenges. His research has been published in high-impact journals such as Desalination, Journal of Environmental Health Science & Engineering, and Journal of Applied Physics, covering topics like particulate matter chemistry, aerosol carbon content, PAH risk assessments, and innovative solar-based cogeneration systems. He has conducted laboratory work involving GC, IC, ICP, and spectrophotometric analyses for pollutant characterization, and has applied computational methods such as Monte Carlo, Geant4 simulations, and density functional theory to study environmental and nanomaterial phenomena. His professional experience includes environmental research at academic institutions, management of meteorological and environmental monitoring projects, CFD simulation work, and contributions to solar energy research. He has also held teaching and mentoring roles in environmental engineering and physics, and his work in nanotechnology has earned national recognition. He is an active member of multiple professional scientific associations related to physics, clean air, and radiation protection.

Profile: Scopus

Featured Publications

Montazeri, A., Babrgir, A., Solari, M. S., Soodani, M. H. A., Abolhasani, E., Asadi, B., … & Alghorayshi, S. T. K. (2025). Innovative solar-based cogeneration system combining dual Rankine cycles and hybrid desalination: Techno-economic analysis and optimization with non-dominated sorting genetic algorithm II and particle swarm optimization. Desalination, 119416.

Shams Solari, M., Ashrafi, K., Pardakhti, A., Hassanvand, M. S., & Arhami, M. (2022). Meteorological dependence, source identification, and carcinogenic risk assessment of PM₂.₅-bound polycyclic aromatic hydrocarbons (PAHs) in high-traffic roadside, urban background, and remote suburban areas. Journal of Environmental Health Science and Engineering, 20(2), 813–826.

Shams Solari, M., Ashrafi, K., Pardakhti, A., & Ozturk, F. (2025). Elemental and organic carbon in PM₂.₅ and PM₁₀ aerosols: A case study in Tehran.

Tooski, S. B., Godarzi, A., Solari, M. S., Ramyar, M., & Roohforouz, A. (2011). Optical properties of carbon nanotube gas sensor. Journal of Applied Physics, 110(3).

Fereshteh Emami | Environmental Science | Best Researcher Award

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Prof. Fereshteh Emami | Environmental Science | Best Researcher Award

Associate Professor Southeastern Louisiana University United States

Dr. Fereshteh Emami is a tenured Associate Professor at Southeastern Louisiana University (SLU), where she serves in the Departments of Chemistry & Physics and Integrated Science and Technology. As the Director of both the Analytical-Environmental Chemistry Laboratory and the Chemometrics and Biomathematics Laboratory, she leads innovative research in AI-driven bioanalytical challenges and the development of VR environments for STEM education.

Profile

Scopus

Google scholar

Education 📚📜

Dr. Emami earned her Ph.D. in Analytical Chemistry from Bu-Ali Sina University in 2013, following her M.Sc. in the same field in 2007. She completed her B.Sc. in Chemistry at Razi University in 2005, establishing a strong foundation in analytical and computational chemistry.

Professional Experience 🏢💼

Her career includes tenure-track roles at SLU, Chief Data Scientist at Digital Factory, Inc., and research positions at Clarkson University and Bowling Green State University. She has applied advanced mathematical techniques to air quality data and explored innovative bioanalytical methods using AI and machine learning.

Research Interests 🔍💡

Dr. Emami’s research spans environmental chemistry, bioanalytical chemistry, biomedical engineering, and data science. She focuses on pollutant degradation in water, AI-driven biosensors, VR-assisted molecular studies, and predictive modeling for environmental and biomedical data analysis.

Awards and Grants 🏆💰

Dr. Emami has been awarded substantial grants, including the Air Products-funded “Chemical Monitoring of Lake Maurepas” project phases, totaling over $12 million. Her contributions to research in AI-driven sensing and environmental monitoring reflect her dedication to scientific advancement.

Publications Top Notes:📖🔗

Gunawardhana, T., et al. “Spatial pattern assessment and prediction of water quality changes in Lake Maurepas.” Environments, 11(12), 2024. View Article

Rahman, M.A., et al. “Chemical variations in Lake Maurepas: vertical distribution and source identification.” Environmental Science & Technology, Submitted, 2024.

Rahman, M.A., et al. “Assessment of the vertical distribution of contaminants in Lake Maurepas,” Louisiana Academy of Sciences Annual Meeting, 2024.

Gunawardhana, T., et al. “Examining heavy metals in Lake Maurepas,” Louisiana Academy of Sciences Annual Meeting, 2024.

Milad Mirzaei Aminiyan | Environmental Science | Best Researcher Award

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Dr. Milad Mirzaei Aminiyan | Environmental Science | Best Researcher Award

Ph.D. in Soil Science-Biophysics University of Tehran Iran

Dr. Milad Mirzaei Aminiyan is a distinguished researcher specializing in environmental sciences, with a focus on soil and water resources management. Based in the Department of Soil Science at the University of Tehran, Iran, Dr. Mirzaei has made significant contributions to understanding soil contamination, microplastic pollution, and environmental geochemistry, impacting both academic and practical fields of soil science.

Profile

Scopus.com

Google scholar.com

Education 🎓

  • 2023 – Guest Ph.D. Student, Technical University of Denmark (DTU), Copenhagen, Denmark
    Research Project: Impact of polyethylene microplastics on willow growth.
  • 2018-2024 – Ph.D. in Environmental Soil Biophysics, University of Tehran, Iran
    Thesis: The effects of microplastic particles on soil and sunflower growth.
  • 2010-2013 – M.Sc. in Soil Physics and Conservation, Bu-Ali Sina University, Iran
    Thesis: Impact of nanozeolite on soil organic carbon.
  • 2006-2010 – B.Sc. in Environmental Soil Science, Vali-e-Asr University of Rafsanjan, Iran
    Project: Effects of pistachio waste on soil biophysical properties.

Professional Experience 👨‍🔬

Dr. Mirzaei served as the Technical and Commercial Manager at ABENEGAHDAR Organic Fertilizer Factory (2013-2018) and as an R&D Environmental Scientist in Rafsanjan’s Eco-industrial Zone. His work emphasizes environmental pollution analysis, sustainable soil management, and ecotoxicology of emerging contaminants.

Research Interests 🔬

Dr. Mirzaei’s research includes:

  • Environmental pollution and ecotoxicology (microplastics, PTEs, PFAS)
  • Soil organic carbon management
  • Hydrochemical and geochemical analysis for water quality assessment
  • Modeling contaminant transport and biodegradation in soil

Awards 🏆

  • 2022: Recognized as a top researcher among Ph.D. students in Soil Sciences at the University of Tehran.
  • 2018: Achieved 5th overall rank and 2nd in Soil Physics in Iran’s Ph.D. Entrance Exam.
  • 2013: Awarded for best M.Sc. thesis in Bu-Ali Sina University’s Agricultural Faculty.

Publications Top Notes: 📄

Dr. Mirzaei has published extensively in leading journals. Below are selected publications with citations:

2024: Mitigating the impacts of polyethylene microplastics using a microbial consortium.
Ecotoxicology and Environmental Safety. DOI.

2022: Contamination of potentially toxic elements around a copper smelter.
Environmental Geochemistry and Health. DOI.

2021: Source apportionment of PAHs in industrial city dust in Iran.
Environmental Science and Pollution Research. DOI.

2019: Pollution risk assessment in school dust in Shiraz, Iran.
Human and Ecological Risk Assessment. DOI.

2018: Risk assessment of heavy metals in road dust in Rafsanjan, Iran.
Environmental Science and Pollution Research. DOI.