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.

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.”

Samson Abagale | Chemical Ecology | Best Researcher Award

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Prof. Samson Abagale | Chemical Ecology | Best Researcher Award

C. K. Tedam University of Technology and Applied Sciences, Ghana

Prof. Samson Abah Abagale is an Associate Professor of Organic Chemistry at the Department of Applied Chemistry, School of Chemical and Biochemical Sciences, C. K. Tedam University of Technology and Applied Sciences (CKT-UTAS), Navrongo, Ghana. With a PhD in Organic Chemistry from Kwame Nkrumah University of Science and Technology (2017), his research focuses on natural products chemistry, chemical ecology, and indigenous chemical processes applied to crop protection and public health.

Profile:

🎓 Education Background:

  • PhD in Organic Chemistry (2017), KNUST
    Focus: Chemical Ecology & Crop Protection

  • MSc in Organic Chemistry (2008), KNUST
    Focus: Natural Products in Indigenous Processes

🧪 Research Interests:

  • Natural Products Chemistry 🌿

  • Chemical Ecology 🐜

  • Indigenous Chemical Processes 🧬

  • Vector Control, Waste Management & Water Quality 💧

📚 Academic & Professional Roles:

  • Associate Professor (2021 – Present), CKT-UTAS

  • Former Dean at CKT-UTAS & UDS

  • Lecturer to Senior Lecturer roles across multiple institutions since 2010

  • Supervised numerous PhD, MPhil, and BSc students 🎓

  • Reviewer & Examiner for academic journals and research theses 📄

🌍 Research Impact & Grants:

  • 🌱 CRES Project Grant (2020–2026) – Climate Change & Ecosystem Resilience (DANIDA)

  • 🎓 PhD Fellowship – Royal Society & Leverhulme Trust, UK

  • 🦟 Malaria Research Grant – Noguchi Memorial Institute

🏛️ Leadership & Service:

  • Dean of Academic Programmes & Quality Assurance, CKT-UTAS

  • Chairperson & Member of various academic and outreach committees

  • Active in curriculum quality assurance, postgraduate education, and institutional leadership

🌐 Conferences & Trainings Attended:

  • International Chemical Ecology Conference 🌿

  • Pan Africa Chemistry Network Congress 🌍

  • Leadership Seminars & IP Policy Development Workshops

🧑‍🔬 Professional Memberships:

  • Royal Society of Chemistry (UK) 🇬🇧

  • Ghana Science Association 🇬🇭

  • University Teachers Association of Ghana

  • Association of Health and Nutrition

📊 Citation Metrics:

  • 📄 Total Publications: 9

  • 📑 Total Citations: 127 (from 121 citing documents)

  • 📈 h-index: 5

Publication:

  • Synergistic enhancement of natural mosquito repellents through matrix interactions: Insights from GC-MS and bioassays