Evangelia Koukianaki | Environmental Modeling | Best Researcher Award

Ms. Evangelia Koukianaki | Environmental Modeling| Best Researcher Award

Researcher, Technical University of Crete, Greece

Evangelia Koukianaki is a dedicated Research Associate at the Technical University of Crete, contributing her expertise at the Hydro-geochemical Engineering and Soil Remediation Laboratory (HERS LAB). With a strong foundation in Environmental Engineering, she focuses on sustainable solutions to environmental challenges. Her work spans innovative projects funded by EU programs such as PRIMA and H2020, tackling issues from desertification to ecosystem modeling. Passionate about integrating science with policy, Evangelia’s research supports decision-makers in designing climate-resilient strategies. πŸŒΏπŸŒπŸ“Š

Profile

Scopus

Education πŸŽ“

Evangelia holds a Master’s degree in Sustainable Engineering and Climate Change, with a specialization in Sustainable Water and Wastewater Management, from the School of Chemical and Environmental Engineering at the Technical University of Crete. πŸ§ͺπŸ“˜ She earned Award of Excellence distinctions for both her undergraduate (Grade: 8.34/10) and postgraduate (Grade: 9.81/10) performances, reflecting her academic dedication and high merit. πŸŽ“πŸ…

Experience πŸ’Ό

Over the past 2.5 years, Evangelia has served as a Researcher at HERS LAB, contributing to EU-backed projects like EcoFuture, Carbon Farming MED, and eLTER PLUS. πŸŒ±πŸ”¬ Her role encompasses data modeling, stakeholder collaboration, and ecosystem assessment, with a strong interdisciplinary orientation. Through these projects, she collaborates with international researchers, companies, and institutions to advance sustainable practices and research impact. πŸ€πŸŒπŸ“ˆ

Research Interest πŸ”

Her research interests include ecosystem services modeling, carbon sequestration, and the Water-Energy-Food-Ecosystem (WEFE) Nexus optimization. πŸ”πŸŒ She integrates environmental modeling tools to forecast system behaviors under different management scenarios, supporting sustainable policy development. Evangelia’s approach blends geochemical analysis, model-based forecasting, and land use optimizationβ€”critical areas in combating climate change and land degradation. πŸ“‰πŸŒ³πŸ’§

Awards πŸ†

Evangelia has been honored with two Awards of Excellence: one for her outstanding undergraduate GPA and another for securing the highest average score in her Master’s Program. πŸ…πŸ“‘ These distinctions highlight her strong academic discipline and research potential. She has also been provisionally selected for the Best Researcher Award for her impactful publication on forest soil function modeling. 🌲🧠

Publications πŸ“„

Optimizing the water-ecosystem-food nexus using nature-based solutions at the basin scale β€” Frontiers in Water, 2024. Cited by: 1+

Optimizing the water-ecosystem-food nexus of avocado plantations β€” Frontiers in Water, 2024. Cited by: 1+

Modeling soil functions of forested ecosystems β€” Journal of Environmental Management, 2025. Cited by: Pending (new release)

Conclusion

Evangelia Koukianaki is a promising early-career researcher with strong academic credentials, highly relevant research themes, and meaningful contributions to European-funded environmental research projects. Despite being at an early stage in her career (2.5 years), she demonstrates clear scientific vision, a commitment to sustainable development goals, and potential for impactful research. With time and broader engagement in publishing, networks, and industry, she is well-positioned to become a leading researcher in her field.

Amin Mahdavi-Meymand | Simulation | Best Researcher Award

Mr Amin Mahdavi-Meymand | Simulation | Best Researcher Award

Specialist, institute of hydro engineering polish academy of science, Poland ✨

Amin Mahdavi-Meymand, MSc, is a dedicated specialist in hydro-engineering and structural dynamics at the Institute of Hydro-Engineering of the Polish Academy of Sciences. With a strong academic and professional background in water structures and wave mechanics, he focuses on innovative solutions to complex engineering challenges. He is fluent in Persian and English and actively contributes to cutting-edge research in his field.

Profile

Scopus

Education πŸŽ“

Amin Mahdavi-Meymand is currently pursuing his Ph.D. in Civil Engineering, Geodesy, and Transport at the Tri-city Doctoral School of the Polish Academy of Sciences under the supervision of Wojciech Sulisz. He holds an M.S. in Agriculture Engineering specializing in Water Structures from Shahid Chamran University of Ahwaz, where he achieved a GPA of 3.47. His master’s dissertation focused on Fuzzy and Neural-Fuzzy Modeling of Aerator Structure Geometric and Chute Hydraulic in the Discharge of Air Flow, supervised by Dr. Javad Ahadian. He also earned a B.A. in Agriculture Engineering with a focus on Water from Shahid Bahonar University of Kerman, achieving a GPA of 3.18 under the guidance of Dr. Mohammad Zounemat-Kermani.

Experience πŸ—οΈ

Amin has been actively engaged in research and development in wave mechanics and structural dynamics. His work combines theoretical insights and practical applications, addressing challenges such as sediment transport, hydraulic modeling, and dam water-level variations.

Research Interests πŸ”¬

Amin Mahdavi-Meymand’s research interests span innovative applications of artificial intelligence in water engineering, focusing on enhancing predictive and analytical models. He specializes in neural-fuzzy modeling to optimize hydraulic systems, providing deeper insights into complex water flow behaviors. His work also delves into scour depth prediction and sediment transport, critical for maintaining structural integrity in aquatic environments. Additionally, Amin explores the use of meta-heuristic algorithms in hydro-structural simulation, aiming to improve the efficiency and accuracy of water resource management solutions.

Awards πŸ†

Amin has been recognized for his innovative approaches to water structure engineering and his contributions to the development of advanced numerical models in hydro-dynamics.

Publications Top Notes πŸ“š

Depth Prediction in Sand Beds using Artificial Neural Networks and ANFIS Methods (Indian Journal of Science and Technology, 2015) Link

Numerical Modeling of Scour Depth at Side Piers of the Bridge (Computational and Applied Mathematics, 2015) Link

Estimating Incipient Motion Velocity of Bed Sediments using Different Data-driven Methods (Applied Soft Computing, 2018) Link

Hybrid Meta-heuristics Artificial Intelligence Models in Simulating Discharge Passing the Piano Key Weirs (Journal of Hydrology, 2018) Link

Evaluating Performance of Meta-Heuristic Algorithms and Decision Tree Models in Simulating Water Level Variations of Dams’ Piezometers (Journal of Hydraulic Structures, 2018) Link

Conclusion

Amin Mahdavi-Meymand is a strong contender for the Best Researcher Award due to his innovative contributions to water structure engineering, advanced modeling techniques, and academic dedication. With a focus on expanding his research scope and enhancing his global presence, he is poised to become a leading figure in hydraulic and civil engineering. His potential and achievements make him a noteworthy candidate for the award. 🌟