Mostafa Kabolizadeh | Environmental Science | Research Excellence Award

Prof. Mostafa Kabolizadeh | Environmental Science | Research Excellence Award

Associate Professor at Shahid Chamran University of Ahvaz | Iran

Prof. Mostafa Kabolizadeh is an accomplished researcher and academic with recognized expertise in geomatics, photogrammetry, remote sensing, and spatial data science, contributing significantly to the advancement of geospatial technologies and their real-world applications. His scholarly work integrates LiDAR, satellite image processing, spatial analysis, and artificial intelligence to address complex challenges in mapping, environmental monitoring, disaster management, and wildlife conservation. He has demonstrated strong research leadership through the successful completion and coordination of numerous competitive research and consultancy projects, bridging theoretical innovation with applied solutions for industry and public-sector needs. His publication portfolio includes a substantial body of peer-reviewed journal articles in high-impact international and national outlets, reflecting sustained contributions to image processing, pattern recognition, optimization algorithms, and 3D reconstruction. He is also the author of an academic book that supports knowledge dissemination in geomatics and remote sensing. In addition to research productivity, he plays an active role in shaping the scientific community through professional service, society leadership, and collaborative research initiatives that foster interdisciplinary and applied geospatial science. His work emphasizes the integration of advanced algorithms and web-based GIS platforms for scalable spatial decision-making. Through mentoring, collaboration, and innovation, he has contributed to capacity building in remote sensing and surveying, while advancing methodological rigor and technological adoption across geospatial disciplines. His research continues to influence academic scholarship and applied practices by promoting data-driven, intelligent, and sustainable spatial solutions across environmental, engineering, and societal domains.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Balouei, F., Kabolizadeh, M., & Rabiei-Dastjerdi, H. (2026). A novel high-resolution soil-moisture mapping using Sentinel-1 imagery and optimization-based for a new precise remote sensing drought index. International Journal of Environmental Science and Technology.

Zaheri Abdehvand, Z., & Kabolizadeh, M. (2025). Improving the temporal and spatial accuracy of the normalized difference vegetation index (NDVI) map using satellite image fusion algorithms. Journal of Applied Research in Geographical Sciences.

Karimi, D., Kabolizadeh, M., Rangzan, K., Zaheri Abdehvand, Z., & Balouei, F. (2025). New methodology for improved bathymetry of coastal zones based on spaceborne spectroscopy. International Journal of Environmental Science and Technology.

Pourmorad, S., Kabolizadeh, M., & Dimuccio, L. A. (2024). Artificial intelligence advancements for accurate groundwater level modelling: An updated synthesis and review. Applied Sciences, 14(16), 7358.

Kabolizadeh, M., Rangzan, K., Mohammadi, S., & Rabiei-Dastjerdi, H. (2024). Challenges of rainfall erosivity prediction: A novel GIS-based optimization algorithm to reduce uncertainty in large country modeling. Earth Science Informatics.

Melkamu Abere Erku | Ecology | Best Research Article Award

Mr. Melkamu Abere Erku | Ecology | Best Research Article Award

Ethiopian Forestry Development Bahir Dar Center | Ethiopia

Mr. Melkamu Abere Erku is a dedicated forest researcher with extensive expertise in forest ecology, biodiversity, and sustainable forest resource management. His work spans a wide range of topics, including tree species composition, forest structure, growth performance, biomass assessment, and the utilization of non-timber forest products such as gum, resin, and wild fruits. He has conducted in-depth studies on African baobab (Adansonia digitata), exploring its population status, phenological characteristics, germination responses, and traditional uses among different ethnic groups, as well as research on highland and lowland bamboo species in Ethiopia. Melkamu applies advanced field survey techniques and statistical analyses using software such as SPSS, SAS, and R to derive insights from ecological and forest management data. His research contributes to understanding species-site suitability, forest regeneration, climate change mitigation, and sustainable utilization practices. He has a strong record of scientific publications in international journals and actively disseminates his findings through conferences and workshops. Beyond research, Melkamu is passionate about knowledge sharing, conservation education, and community engagement, including volunteering to support children in need. With skills in project management, data analysis, and forest inventory, he combines scientific rigor with practical strategies for forest conservation and climate-resilient resource management.

Profile: Orcid

Featured Publications

Tesema, H. A., Abere, M., & Yimer, H. (2025). Identification and utilization of underutilized gum‐ and resin‐bearing tree species in two districts of Somali Region, Ethiopia. International Journal of Forestry Research.

Mengistu, M. A., Abere, M., Gasheye, D., Asfaw, M. J., & Ayana, D. A. (2025). Germination response and seedling growth performance of Adansonia digitata L. tree seeds under innocuous pre-treatment techniques for efficient seedling production. Rhizosphere.

Gasheye, D., Abere, M., Ayal, M., Yilma, Z., Getahun, A., Getnet, A., & Worku, T. (2025). Population structure, phenological characteristics, and fruit yield potential of Ximenia americana in Quara district, Alitash National Park, West Gondar Zone of Ethiopia. Discover Plants.

Worku, T., Abere, M., Guday, S., Getie, S., Teshager, Z., Agidie, A., & Eshete, A. (2025). Growth performance and biomass of selected indigenous tree species in the permanent nursery, Addis Zemen, Northwest Ethiopia. International Journal of Forestry Research.

Abere, M., Yilma, Z., Tsegie, T., Eshete, A., & Alemu, A. (2023). Population structure and phenological attributes of Adansonia digitata L. (baobab) in northwestern lowland area of Ethiopia. Heliyon.

 

Γ‡iğdem Coşkun Dilcan | Environmental Science | Best Researcher Award

Dr. Γ‡iğdem Coşkun Dilcan | Environmental Science | Best Researcher Award

Instructor at Ankara University Water Management Institute, Turkey

Dr. Γ‡iğdem Coşkun Dilcan is a dynamic environmental engineer and researcher at Ankara University’s Water Management Institute. With a strong foundation in environmental engineering and a passion for integrated water resources management, she has established herself in the emerging intersection of artificial intelligence, climate science, and water systems. Her research addresses pressing global issues, including water-energy-climate nexus, wastewater reuse, and reservoir evaporation forecasting. She actively participates in national and international scientific communities, contributing to research projects, conference organizations, and peer-reviewed publications. As a reviewer and invited speaker, she continues to influence the academic and practical realms of water management. Dr. Dilcan’s unique ability to blend data-driven modeling with real-world environmental challenges has earned her recognition, including awards from TÜBΔ°TAK and COST Action. She exemplifies the new generation of interdisciplinary researchers driving sustainability and innovation in environmental systems. πŸŒπŸ’§πŸ“Š

Publication ProfileΒ 

πŸŽ“ Education

Dr. Γ‡iğdem Coşkun Dilcan pursued her entire academic journey in environmental engineering. She earned her B.Sc. (2009) and M.Sc. (2012) from Dokuz EylΓΌl University, specializing in environmental systems analysis. Her growing interest in advanced modeling and sustainability led her to Hacettepe University, where she completed her Ph.D. in 2023, focusing on the use of artificial intelligence in water resources management. Her doctoral research integrated modern computational methods with environmental system analysis, reflecting her commitment to innovative approaches for addressing global environmental challenges. Her educational path combines a solid technical base with an advanced skillset in predictive modeling, climate adaptation strategies, and sustainable water solutions. This academic background underpins her current work and fuels her ongoing research in climate-resilient water technologies. πŸŽ“πŸ“šπŸ’‘

πŸ‘©β€πŸ’Ό Professional Experience

Dr. Dilcan began her professional journey as a Specialist at Ankara University’s Water Management Institute (2013–2018), where she contributed to various national water projects and policy-related research. In 2018, she was promoted to Instructor, a role that combines teaching, applied research, and academic leadership. She has also acted as a consultant on projects related to industrial wastewater treatment and has developed strategic water management frameworks for the defense and agricultural sectors. Additionally, Dr. Dilcan has been involved in organizing and leading national and international scientific conferences and training sessions, making her a recognized contributor to Turkey’s water research and education landscape. Her experience spans technical expertise, interdisciplinary research collaboration, and policy advisory roles, placing her at the forefront of environmental engineering practice in academia and beyond. πŸ’πŸ”¬πŸŒ

πŸ”¬ Research Interests

Dr. Γ‡iğdem Coşkun Dilcan’s research lies at the crossroads of sustainability, environmental modeling, and artificial intelligence. Her core interests include water-energy-climate nexus modeling, reservoir evaporation forecasting, urban water system resilience, and climate change adaptation in water management. She explores how advanced computational toolsβ€”like artificial neural networksβ€”can enhance predictive capabilities in environmental systems. She is particularly invested in sludge disintegration, wastewater reuse, and energy recovery via anaerobic digestion, demonstrating a systems-level approach to circular water and waste management. By addressing real-world challenges through integrated models, her work supports sustainable decision-making under uncertainty. Her evolving research direction strongly aligns with the global shift toward data-driven environmental engineering, climate-resilient infrastructure, and sustainable development goals. πŸ”„πŸŒ¦οΈπŸ§ 

🧠 Research Skills

Dr. Dilcan possesses a versatile set of research skills that blend technical proficiency with scientific communication. She is an expert in artificial neural networks (ANNs), machine learning algorithms, and MATLAB-based modeling for environmental systems. Her skills in data analysis, water quality modeling, and climate scenario forecasting equip her to handle complex environmental datasets and produce actionable insights. She is also skilled in proposal writing, project coordination, and academic publishing, with experience in both national and international multi-institutional research teams. Furthermore, she regularly delivers technical seminars and training sessions, underlining her ability to translate research into education and policy. Her strength lies in connecting modeling techniques with applied environmental solutions, making her a critical thinker and impactful researcher. πŸ“ŠπŸ”πŸ’»

πŸ… Awards and Honors

Dr. Γ‡iğdem Coşkun Dilcan has been recognized for her excellence in interdisciplinary research and contributions to environmental science. In 2023, she received the prestigious TÜBΔ°TAK UBYT Incentive Award for her international publications on climate-based water modeling. That same year, she was awarded the Inclusive Target Countries Grant by COST Action CA20138 for her novel methodology on powerplant water consumption prediction, presented at the EWRA 2023 Congress in Greece. She has also been invited to serve on scientific committees, including the MDST2024 Conference and the Environmental Education Congress 2025, demonstrating her leadership in academic communities. Her work as a reviewer for international journals like Water Resources Management further showcases her peer recognition. These accolades reflect both the scientific quality and the societal relevance of her research. πŸ†πŸ“’πŸŒŸ

Conclusion🌟

Γ‡iğdem Coşkun Dilcan is a highly promising, emerging researcher with a multidisciplinary focus on sustainable water resource management, artificial intelligence, and climate-related challenges. Her active publication record, project involvement, and professional contributions make her a strong candidate for early-career or emerging researcher awards.

For Best Researcher Award (if it targets mid- to senior-level academics), she is borderline-eligible but still competitive, especially given her recent Ph.D., impactful research themes, and increasing leadership in scientific events.

Publications πŸ“š

  • Ahi, Y., Coşkun Dilcan, Γ‡., KΓΆksal, D.D., GΓΌltaş, H.T. (2023)
    Reservoir evaporation forecasting based on climate change scenarios using artificial neural network model
    Water Resources Management 37 (6), 2607–2624
    Cited by: 23

  • Dilcan, Γ‡.C., Γ‡apar, G., Korkmaz, A., Δ°ritaş, Γ–., Karaaslan, Y., Selek, B. (2018)
    İçme suyu şebekelerinde gârülen su kayıplarının dünyada ve ülkemizdeki durumu
    Anahtar Dergisi 354, 10–18
    Cited by: 18

  • Γ‡apar, G., Dilcan, Γ‡.C., Akşit, C., Arslan, Ş., Γ‡elik, M., Kodal, S. (2016)
    Evaluation of irrigation water quality in Gâlbaşı District
    Journal of Agricultural Sciences 22 (3), 408–421
    Cited by: 8

  • Coskun Dilcan, C., Aydinalp Koksal, M. (2024)
    A novel modeling approach on the water–electricity–climate nexus in the context of resource sustainability
    Clean Technologies and Environmental Policy
    Cited by: 3

  • Γ‡apar, G., Coşkun, Γ‡., Arslan, Ş. (2020)
    Assessment of livestock drinking water quality: A case study in a special environmental protection area
    Erciyes Üniversitesi Fen Bilimleri EnstitΓΌsΓΌ Dergisi 36 (1), 61–75
    Cited by: 2

  • Dilcan, C.C., Koksal, M.A. (2025)
    A novel approach to resource management within the water-electricity-climate nexus perspective
    Science of The Total Environment 991, 179921

  • Coşkun Dilcan, Γ‡., Γ–zgenΓ§, E., Ahi, Y. (2025)
    Methods and Techniques for Microplastic Detection and Identification in Water and Wastewaterβ€”A Methodology Review
    In: Microplastics in Wastewater, Springer

  • Γ‡apar, G., Coşkun Dilcan, Γ‡., Arslan, Ş., Akşit, C., Γ‡elik, M., Kodal, S., Yetiş, Ü. (2017)
    GΓΆlbaşı Γ–zel Γ‡evre Koruma BΓΆlgesinde YeraltΔ± Suyu Kalitesinin Değerlendirilmesi
    International Congress Proceedings

  • Coşkun, Γ‡. (2012)
    Mesophilic anaerobic digestibility of pre-treated sludges
    PQDT-Global (Thesis/Dissertation)

Mohamed Y. E. Selim | Energy and Environment | Best Researcher Award

Prof. Mohamed Y. E. Selim | Energy and Environment | Best Researcher Award

Professor at UAE University, United Arab Emirates

Prof. Mohamed Younes El-Saghir Selim is a full-time Professor of Mechanical Engineering at the United Arab Emirates University (UAEU). With over 27 years of experience at UAEU, he has significantly contributed to the fields of combustion, alternative fuels, and engine performance. He has been recognized among the top 2% of world scientists by Stanford University in recent years.

Publication ProfileΒ 

Scopus

Orcid

Educational Background πŸŽ“

  • Ph.D. in Mechanical Engineering, University of Cambridge, UK, 1992
  • M.S. in Mechanical Engineering, Helwan University, Egypt, 1989
  • B.S. in Mechanical Engineering, Helwan University, Egypt, 1985

Professional Experience πŸ’Ό

  • Full Professor, Mechanical Engineering, UAE University (2013–Present)
  • Associate Professor, Mechanical Engineering, UAE University (2001–2013)
  • Assistant Professor, Mechanical Engineering, UAE University (1997–2001)
  • Assistant Professor, Mechanical Engineering, Helwan University (1992–1997)
  • Consultant, HVAC and piping design projects in Dubai and Egypt
  • Chair, Mechanical and Aerospace Engineering Department, UAEU (2017–2023)

Research Interests πŸ”¬

  • Alternative fuels and their impact on engine performance
  • Combustion and emission control
  • Hydrogen and biofuels in internal combustion engines
  • Noise emission regulations and environmental sustainability

Awards and HonorsπŸ†βœ¨

  • Listed among the Top 2% of world scientists by Stanford University
  • UAE University College of Engineering Award for Excellence in Community Services (2007)
  • Islamic Development Bank (IDB) Merit Scholarship Award (1995)

Conclusion🌟

Prof. Selim is a distinguished researcher and educator in mechanical engineering, specializing in alternative fuels and combustion. His contributions to academia, industry, and environmental sustainability have been widely recognized through numerous awards, publications, and leadership roles.

Publications πŸ“š

πŸ“„ Articles

πŸ”₯ Impact of Intake Air Pressure and Temperature on Performance and Hydrogen Knock Limit in a Spark-Ignition Engine Using Hydrogen-Gasoline Blends
πŸ‘¨β€πŸ”¬ S.T.P. Purayil, M.O. Hamdan, S.A.B. Al-Omari, M.Y. Selim, E.J. Elnajjar
πŸ“š Applied Thermal Engineering, 2025
πŸ” Citations: 0


πŸ†“ Open Access

⚑ Influence of Alcohol Blend Fuels on Performance and Noise Emission in Spark Ignition Engine
πŸ‘¨β€πŸ”¬ A.M. Ansari, L.A. Memon, F.A. Solangi, M.T. Ghannam, M.Y. Selim
πŸ“š International Journal of Thermofluids, 2025
πŸ” Citations: 0


πŸ†“ Open Access

🚜 Combustion and Engine Roughness of Water βˆ’ Jojoba Biodiesel Emulsions in Diesel Engine
πŸ‘¨β€πŸ”¬ I. Ayad, M.Y. Selim, M.T. Ghannam
πŸ“š Energy Conversion and Management: X, 2025
πŸ” Citations: 0


πŸ”₯ Influence of Ethanol–Gasoline–Hydrogen and Methanol–Gasoline–Hydrogen Blends on the Performance and Hydrogen Knock Limit of a Lean-Burn Spark Ignition Engine
πŸ‘¨β€πŸ”¬ S.T.P. Purayil, M.O. Hamdan, S.A.B. Al-Omari, M.Y. Selim, E.J. Elnajjar
πŸ“š Fuel, 2024
πŸ” Citations: 7


πŸ†“ Open Access

πŸš— Experimental Study of Particulate Matter Emission for a Diesel Engine Fueled with Nanoparticles and Biofuel/Diesel Blends
πŸ‘¨β€πŸ”¬ A.M. Ansari, L.A. Memon, M.Y. Selim
πŸ“š International Journal of Thermofluids, 2024
πŸ” Citations: 9


πŸ†“ Open Access

πŸ’¨ Utilization of Hydrogen and Methane as Energy Carriers with Exhaust Gas Recirculation for Sustainable Diesel Engines
πŸ‘¨β€πŸ”¬ M. Sekar, M.Y. Selim, H.E. Saleh, M. Elgendi
πŸ“š Energy Conversion and Management: X, 2024
πŸ” Citations: 2


πŸ†“ Open Access

πŸ“ Review Articles

πŸ“– A Review on Slurry-Based Fuels for Engines and Furnaces: Preparation, Stability, Emission Characteristics, and Applications
πŸ‘¨β€πŸ”¬ M.F. Siddique, M.Y. Selim, M. Elgendi, M.T. Ghannam
πŸ“š International Journal of Thermofluids, 2024
πŸ” Citations: 8


πŸ†“ Open Access

πŸ”¬ Technical Papers

πŸ›’ Viscoelastic Performance Evaluation of Petrol Oil and Different Macromolecule Materials
πŸ‘¨β€πŸ”¬ M.T. Ghannam, M.Y. Selim
πŸ“š International Journal of Thermofluids, 2024
πŸ” Citations: 1


πŸ†“ Open Access

πŸš€ Combustion of Date Stone and Jojoba Solid Waste in a Hybrid Rocket-like Combustion Chamber
πŸ‘¨β€πŸ”¬ S.B. Alsaidi, J. Huh, M.Y. Selim
πŸ“š Aerospace, 2024
πŸ” Citations: 1


πŸ†“ Open Access

πŸ’§ Experimental Stability Investigation of Different Water-in-Jojoba Biodiesel Emulsions
πŸ‘¨β€πŸ”¬ I. Ayad, M.T. Ghannam, M.Y. Selim
πŸ“š Fuel, 2024
πŸ” Citations: 4