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.

Muhammad Ibrahim | Environmental Science | Best Researcher Award

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Dr. Muhammad Ibrahim | Environmental Science | Best Researcher Award

Researcher | Hohai University | China

Dr. Muhammad Ibrahim is an environmental scientist whose research focuses on emerging pollutants, water quality, ecological risk assessment, and nature-based remediation strategies. His work spans the toxicological behavior of PFAS, heavy metals, antibiotics, and nutrient pollution, with special emphasis on their interactions, dispersal pathways, and ecological consequences in freshwater systems. He investigates semiconductor-based photocatalysis, bio-electrochemical remediation, phytoremediation, and biogeochemical processes in reservoirs, advancing innovative approaches for pollution control and sustainable water-environment management. His scholarship also extends to environmental modeling, microalgal bloom dynamics, atmospheric pollution assessment, and the ecological impacts of industrial effluents. In parallel, he contributes to interdisciplinary studies linking environmental protection with public health, climate indicators, agricultural sustainability, and data-driven solutions such as federated learning frameworks for environmental and healthcare applications. Professionally, he has developed strong expertise in scientific analysis, laboratory research, data interpretation, environmental monitoring, and team leadership. He has participated in multiple international conferences, contributed to collaborative research networks, and published extensively in high-impact journals across environmental science, engineering, and sustainability. His work is recognized through several competitive awards for academic excellence, innovative research, and global environmental solutions, reflecting his commitment to advancing scientific understanding and real-world applications that support cleaner ecosystems and resilient communities.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Li, Y., Ibrahim, M., Yue, C., Wang, Y., Hongzhe, P., Hassan, A. W., & Chunmin, Y. (2025). Exploring the impact of seasonal variation on the toxicological profile of Σ2PFAS in surface water bacterioplankton communities. Journal of Hazardous Materials, 140464.

Li, Y., Wang, Y., Hu, X., Cheng, Y., Zhu, Y., Zhou, Y., Pan, H., Li, R., Ibrahim, M., & Gualtieri, C. (2025). Reservoir water-level operations to manage biogeochemical turnover. Water Research, 124225.

Ibrahim, M., Li, Y., Usman, M., Adnan, M., Danjaji, H. A., & Jibo, A. U. (2025). Effect of nitrate on the semiconductor-based photocatalytic degradation of azithromycin. Journal of Environmental Engineering, EEENG-8063.

Li, Y., Zhu, Y., Chen, Y., Wang, C., Zhao, G., Pan, H., Wang, C., Bao, H., Ibrahim, M., & Norgbey, E. (2025). Heavy metals contamination in water-sediment systems of a large drinking water reservoir in southern China: Large-scale assessment and risk-based management. Journal of Cleaner Production, 146557.

Chen, D., Ibrahim, M., Soroma, M., Danjaji, H. A., Jibo, A. U., & Yang, Y. (2025). Season-based phytoremediation potential of brown mustard for lead decontamination: effect of EDTA chelation and antioxidant enzyme activity. International Journal of Phytoremediation.