Ashvinie Thembiliyagoda | Water Resources Engineering | Innovative Research Award

Posted on by Civil Engineering Awards

Innovative Research Award

Ashvinie Thembiliyagoda
University of Moratuwa

Ashvinie Thembiliyagoda
Affiliation University of Moratuwa
Country Sri Lanka
Scopus ID 58869897300
Documents 3
Citations 7
h-index 1
Subject Area Water Resources Engineering
Event Global Civil Engineering Awards
ORCID 0009-0009-0233-8949

Ashvinie Thembiliyagoda is a researcher associated with the Department of Civil Engineering at the University of Moratuwa whose research interests center on water resources engineering, hydraulic modelling, river processes, and bridge-pier scour. Her published work examines numerical and physical approaches for understanding sediment erosion around bridge structures, with particular attention to two-dimensional HEC-RAS modelling and the interpretation of scour processes in Sri Lankan rivers. Her research portfolio connects hydraulic engineering with infrastructure safety and computational analysis, providing an applied basis for assessing river–structure interactions and developing more informed approaches to bridge scour assessment. [1]

Abstract

Ashvinie Thembiliyagoda’s research focuses on water resources engineering, hydraulic modelling, and bridge-pier scour assessment. Her work investigates riverbed erosion around bridge structures using computational hydraulic methods, particularly HEC-RAS two-dimensional modelling, together with physical validation approaches. Studies involving the Kelanisiri and Hanwella bridges examine scour depth estimation, hydraulic behaviour, and numerical model performance under river-flow conditions. Her research also compares one-dimensional and two-dimensional modelling approaches, linking computational results with infrastructure safety considerations. This developing research profile demonstrates an applied interest in river hydraulics, sediment processes, bridge resilience, and engineering methods for assessing scour-related risks in Sri Lankan river systems. [2]

Keywords

Water Resources Engineering; Hydraulic Modelling; HEC-RAS 2D; Bridge-Pier Scour; River Hydraulics; Sediment Transport; Civil Engineering; Hydrodynamic Modelling; Scour Depth Estimation; Infrastructure Resilience.

Introduction

Bridge-pier scour is an important hydraulic and geotechnical consideration because flowing water can remove sediment surrounding structural foundations. The resulting change in riverbed elevation can influence hydraulic conditions and the stability assessment of bridge infrastructure. Thembiliyagoda’s research addresses this problem through numerical modelling and field-oriented case studies in Sri Lanka. Her early published research applied HEC-RAS 2D to estimate scour around bridge piers at the Kelanisiri Bridge and examined model results against observed information. [2]

Research Profile

Thembiliyagoda is affiliated with the University of Moratuwa and is associated with civil engineering research involving water-related processes and hydraulic infrastructure. Public research records identify her work on bridge scour, HEC-RAS modelling, riverbed erosion, and comparative numerical analysis. Her publication activity shows a progression from case-specific scour simulation toward broader investigation of model validation and the relationship between numerical predictions and physical behaviour. [1]

Research Contributions

A central contribution of Thembiliyagoda’s work is the application of two-dimensional hydraulic modelling to bridge-pier scour assessment. Her Kelanisiri Bridge study used HEC-RAS to investigate bed-level changes around bridge piers during a flood event, reporting simulated scour depths and evaluating model performance using observed information. [2] This approach demonstrates how computational modelling can be applied to a specific infrastructure problem rather than treating river hydraulics only as a theoretical subject.

Publications

The researcher’s documented publication record includes conference and journal work addressing bridge-pier scour and hydraulic modelling. Selected works demonstrate a coherent research direction spanning numerical simulation, comparative modelling, and model validation.

Research Impact

The practical relevance of this research lies in its connection between river hydraulics and infrastructure assessment. Bridge scour modelling can support engineers in understanding changes in riverbed elevation and in examining locations where hydraulic conditions may affect bridge foundations. Thembiliyagoda’s work contributes case-based evidence from Sri Lankan river systems and demonstrates the use of numerical tools for investigating scour processes. [2]

Award Suitability

The documented research profile aligns with an Innovative Research Award theme through its focus on applied hydraulic modelling and infrastructure-related water resources research. Thembiliyagoda’s studies address a defined engineering problem, use computational methods to investigate scour behaviour, and incorporate comparative or physical validation approaches. Her research therefore provides a clear academic basis for recognition within a civil engineering or water resources research context, subject to the award programme’s independent eligibility and evaluation procedures.

Conclusion

Ashvinie Thembiliyagoda’s research is characterized by an applied focus on water resources engineering, hydraulic modelling, and bridge-pier scour. Her work combines HEC-RAS-based numerical simulation with comparative analysis and physical validation, using Sri Lankan bridge and river environments as important case contexts. The resulting research direction connects computational hydraulic analysis with practical questions of bridge infrastructure and river-system management. Her developing publication record provides a coherent foundation for continued research into scour prediction, river morphology, hydraulic modelling, and infrastructure resilience.

References

  1. ResearchGate. (n.d.). Ashvinie Thembiliyagoda — Research profile. University of Moratuwa, Department of Civil Engineering.
    https://www.researchgate.net/profile/Ashvinie-Thembiliyagoda
  2. Thembiliyagoda, A., De Silva, K., & Wijayaratna, N. (2023). Application of HEC-RAS 2D Model to Simulate Scour Depth Around Bridge Piers—A Case Study on Kelanisiri Bridge, Sri Lanka. 2023 Moratuwa Engineering Research Conference, 660–665.
    https://doi.org/10.1109/MERCon60487.2023.10355411
  3. Thembiliyagoda, A., De Silva, K., & Wijayaratna, N. (2024). Comparative Analysis of 1D and 2D Modeling Approaches for Scour Depth Estimation: A Case Study of the Kelanisiri Bridge, Sri Lanka. Journal of Civil and Hydraulic Engineering, 2(3), 171–184.
    https://doi.org/10.56578/jche020304
  4. Thembiliyagoda, A., De Silva, K., & Wijayaratna, N. (2026). Hydrodynamic and morphological simulation of scour evolution around bridge piers due to sand mining activities using HEC-RAS 2D: a case study from Kelani River, Sri Lanka. Modeling Earth Systems and Environment, 12(2).
    https://doi.org/10.1007/s40808-026-02742-7
  5. Rathnayake, H. M., Thembiliyagoda, A., & De Silva, K. (2024). Validating Numerical Model for Bridge Pier Scour Estimation Through Physical Modelling—Case Study of Kelanisiri Bridge. 2024 Moratuwa Engineering Research Conference, 500–505.
    https://doi.org/10.1109/MERCon63886.2024.10688772

Mike Spiliotis | Water Resources Management | Best Researcher Award Department of Civil Engineering, Democritus Universi

Posted on by Civil Engineering Awards

Prof Mike Spiliotis | Water Resources Management | Best Researcher Award

Acosiate Professor, Department of Civil Engineering, Democritus University, Greece

Mike Spiliotis is an Associate Professor at the School of Engineering, Democritus University of Thrace, Greece. He holds a doctoral degree in water resources management, specializing in fuzzy systemic theory, and has extensive research experience in water resource planning, drought analysis, and water distribution systems. Mike’s academic journey spans several prestigious institutions, including the National Technical University of Athens (NTUA), the Technical University of Madrid (UPM), and the Technological Educational Institute of Piraeus. His work focuses on applying fuzzy logic and multicriteria analysis to water resource systems. He is recognized for his contributions to scientific research and has published numerous articles on water management under uncertainty. Additionally, Mike is actively involved in various national and international collaborations, further advancing his research in water resources management.

Profile

Google Scholar

Scopus

Strengths for the Award

Mike Spiliotis demonstrates exceptional expertise in water resources management, with a particular emphasis on fuzzy logic applications. His extensive research in drought analysis, water distribution system reliability, and the optimization of water resource planning has made significant contributions to the field. His work is widely cited, showcasing the impact of his research on both academic and practical aspects of water management. His interdisciplinary collaborations, especially with international institutions like the National Technical University of Athens (NTUA) and the Technical University of Madrid (UPM), further strengthen his profile as a top researcher. Furthermore, his focus on addressing the uncertainty in water systems, using methods such as fuzzy regression analysis and particle swarm optimization, highlights his innovative approach to solving critical global water challenges. These contributions not only enhance the scientific community’s understanding of water resource systems but also provide practical solutions to pressing environmental issues.

Areas for Improvement

While Mike Spiliotis’ work is well-respected, there are areas where further development could enhance his research profile:

  • Broader Collaboration: Expanding his research into more diverse geographical regions could provide insights into water management systems in varied environmental contexts, helping to develop more global solutions for water scarcity.
  • Technological Integration: Incorporating newer technologies such as artificial intelligence and machine learning into his research could lead to even more efficient optimization models for water resource management.
  • Public Engagement: Increasing public engagement through outreach programs or community-based research could help translate his complex academic findings into practical, accessible solutions for local water management.

Education

  • Postdoctoral Researcher: Adaptive Water Resources Management in an Uncertain Environment (NTUA & UPM, 12/2013).
  • Doctor’s Degree: Fuzzy Systemic Theory Applied on Strategic Water Resources Management (NTUA, 12/2007).
  • Master’s Degree: Science and Technology of Water Resources (National University of Athens, 06/2002).
  • Bachelor’s Degree: Civil Engineering (Democritus University of Thrace, 03/2000).

Experience

  • Associate Professor: Department of Civil Engineering, Democritus University of Thrace (07/2017–Present).
  • Assistant Professor: Department of Civil Engineering, Democritus University of Thrace (07/2017–12/2022).
  • Lecturer: Department of Civil Engineering, Democritus University of Thrace (07/2014–07/2017).
  • Research Fellow: Technological Educational Institute of Piraeus (10/2010–06/2011).
  • Lab Assistant: School of Pedagogical and Technological Education, Greece (03/2014–07/2014).

Awards and Honors

Mike Spiliotis has received recognition for his impactful contributions in water resource management. His work has been cited extensively, with several publications in high-impact journals. He has also received multiple academic awards and honors related to water resource planning and fuzzy logic applications. Mike has actively participated in global conferences and workshops, promoting sustainable water management practices. His research has influenced both academic and practical domains, contributing to the development of advanced methodologies in drought mitigation and water system optimization.

Research Focus

Mike Spiliotis’ research focuses on the application of fuzzy logic and multicriteria decision analysis in water resource management. He investigates the impacts of uncertainty in water systems, including drought management, water scarcity, and distribution system reliability. His work explores innovative methods for improving water resource planning, such as fuzzy regression analysis, particle swarm optimization, and GIS-based flood risk assessment. Mike’s expertise in hydrology, hydraulics, and water resources planning has led to practical solutions for sustainable management under changing climatic conditions. His focus includes optimizing reservoir operations, assessing seawater intrusion, and enhancing the reliability of water distribution networks.

Publication Top Notes

  • A fuzzy multicriteria categorization of the GALDIT method to assess seawater intrusion vulnerability of coastal aquifers 🌊💧
  • Drought severity assessment based on bivariate probability analysis 🌵
  • Water distribution system reliability based on minimum cut–set approach and the hydraulic availability 💦🔧
  • Planning against long-term water scarcity: a fuzzy multicriteria approach 🌍
  • Optimization of hedging rules for reservoir operation during droughts based on particle swarm optimization 💡⛲
  • Cropping pattern planning under water supply from multiple sources 🌾
  • Water distribution system analysis: Newton-Raphson method revisited 🔄
  • Water distribution network analysis under fuzzy demands 🌐
  • Fuzzy linear programming for problems of water allocation under uncertainty ⚖️
  • Assessing the water potential of karstic saline springs by applying a fuzzy approach: the case of Almyros (Heraklion, Crete) 💧🗺️
  • Dam-breach hydrograph modelling: an innovative semi-analytical approach 🚧
  • Assessment of interconnection between two adjacent watersheds using deterministic and fuzzy approaches 🌊🌿
  • Fuzzy regression analysis for sediment incipient motion under turbulent flow conditions 🌊📊
  • Minimum cost irrigation network design using interactive fuzzy integer programming 💧📐
  • A Newton–Raphson analysis of urban water systems based on nodal head-driven outflow 🌆
  • Uncertainty in the analysis of urban water supply and distribution systems 🏙️
  • Evaluation of measures for combating water shortage based on beneficial and constraining criteria ⚖️
  • Fuzzy Multicriteria Categorization of Water Scarcity in Complex Water Resources Systems 🚰
  • A gis-based flood risk assessment using the decision-making trial and evaluation laboratory approach at a regional scale 🌍🌀
  • Fuzzy threshold for the initiation of sediment motion 🌊

Conclusion

Mike Spiliotis is a highly qualified and influential researcher in the field of water resources management, especially noted for his work using fuzzy logic and multicriteria decision analysis to tackle complex water scarcity and distribution challenges. His outstanding publication record and the high citation impact underline his position as a leader in his field. By expanding his research to include more diverse global contexts and embracing emerging technologies, he can further elevate the significance and practical application of his work. Overall, Mike Spiliotis is a deserving candidate for the Best Researcher Award.