Aurora Gullotta | water engineering | Best Researcher Award

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Assist. Prof. Dr. Aurora Gullotta | water engineering | Best Researcher Award

Prof Adrian Pisla, University of Catania Italy

Aurora Gullotta, an Italian Assistant Professor at the University of Catania, specializes in Hydraulic and Maritime Constructions and Hydrology. With a PhD in Urban and Land Risks and extensive teaching and research experience, she focuses on sustainable water systems and equity in resource distribution. An active scholar, she has authored numerous impactful publications and collaborated internationally, notably during her visiting PhD tenure at the University of Exeter. Aurora excels in leveraging advanced modeling tools like EPA-SWMM for innovative solutions in urban and water management challenges.

Publication Profile

google scholar

🎓Education

PhD in Urban and Land Risks (2017–2020) University of Catania; Thesis on intermittent water distribution systems. Visiting PhD Student (2019–2020) Centre for Water Systems, University of Exeter, UK. Master’s in Land and Environmental Engineering (2014–2017) University of Catania; Graduated summa cum laude. Bachelor’s in Civil and Environmental Engineering (2010–2014) University of Catania; Graduated summa cum laude.

🏢Experience

Assistant Professor (2022–Present) University of Catania; Lecturer of Hydrology and Sustainable Water Systems. Teaching Assistant (2017–2020) University of Catania; Co-supervised theses in hydrology and hydraulic constructions. Conference Organizer and Speaker Presented research at international forums like EGU and IAHR. Peer Reviewer Reviewed manuscripts for renowned journals in hydrology and water systems.

🏆 Awards and Honors

Top Citations: 111 citations and an h-index of 7 (as of December 2024). Summa Cum Laude: Awarded for both Bachelor’s and Master’s degrees. International Collaborator: Visiting PhD at University of Exeter, UK. Active Conference Presence: Speaker at leading forums like NOVATECH and CCWI. Journal Reviewer: Reviewer for top-tier journals in hydrology and water resources.

🔬 Research Focus

Water Distribution Systems: Intermittent supply modeling and equity improvement. Urban Drainage: Simulation and sustainable drainage systems (SUDs). Leakage Detection: Real-time pressure control and reduction techniques. Hydrological Modeling: Using tools like EPA-SWMM and EPANET. Rainwater Harvesting: Conceptualizing urban solutions for water conservation.

Conclusion

Aurora Gullotta is a highly accomplished researcher with significant contributions to hydrology and hydraulic engineering. Her innovative work, global collaborations, and dedication to education make her an excellent candidate for the “Best Researcher Award.” By broadening the scope of her research and enhancing her engagement with policy and interdisciplinary fields, she could further strengthen her candidacy.

Publication Top Notes

  • Using EPA-SWMM to simulate intermittent water distribution systems
    Authors: A. Campisano, A. Gullotta, C. Modica
    Published in: Urban Water Journal, 2018
    Citations: 38
  • Optimal location of valves to improve equity in intermittent water distribution systems
    Authors: A. Gullotta, D. Butler, A. Campisano, E. Creaco, R. Farmani, C. Modica
    Published in: Journal of Water Resources Planning and Management, 2021
    Citations: 28
  • A simplified methodology for optimal location and setting of valves to improve equity in intermittent water distribution systems
    Authors: A. Gullotta, A. Campisano, E. Creaco, C. Modica
    Published in: Water Resources Management, 2021
    Citations: 24
  • Trend analysis and identification of the meteorological factors influencing reference evapotranspiration
    Authors: T.M. Aschale, D.J. Peres, A. Gullotta, G. Sciuto, A. Cancelliere
    Published in: Water, 2023
    Citations: 14
  • Evaluation of reference evapotranspiration estimation methods for assessing hydrological impacts of photovoltaic power plants in Mediterranean climates
    Authors: T.M. Aschale, G. Sciuto, D.J. Peres, A. Gullotta, A. Cancelliere
    Published in: Water, 2022
    Citations: 14
  • Long-term experiments for the evaluation of the potential for storm water control of modular blue roofs in Mediterranean climate
    Authors: A. Campisano, C. Modica, A. Gullotta
    Published in: Urban Water Journal, 2021
    Citations: 14
  • Laboratory experiments and simulation analysis to evaluate the application potential of pressure remote RTC in water distribution networks
    Authors: A. Campisano, C. Modica, F. Musmeci, C. Bosco, A. Gullotta
    Published in: Water Research, 2020
    Citations: 12
  • Simulation of Intermittent Water Distribution Networks by EPA-SWMM: Comparing Model Results and Field Experiments
    Authors: A. Gullotta, A. Campisano
    Published in: Journal of Water Resources Planning and Management, 2024
    Citations: 1

 

 

Dongwook Kim | Civil Engineering | Best Researcher Award

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Dr. Dongwook Kim | Civil Engineering | Best Researcher Award

Civil Smart Engineering Team at DL E&C South Korea

Dongwook Kim, Ph.D., is a Senior Manager in the Civil Smart Engineering Team at DL E&C, Seoul, Korea. With a profound academic background in civil engineering, he specializes in modular construction, composite structures, and BIM technologies. Dr. Kim has significantly contributed to smart construction advancements, earning a reputation as an expert in integrating cutting-edge machine learning and digital engineering practices. His collaborative initiatives span industry, government, and academia, aiming to revolutionize infrastructure development. A prolific contributor to technical committees and academic forums, he is deeply involved in shaping national BIM standards and promoting smart construction technologies.

Publication Profile

Orcid

🎓Education

Ph.D. in Civil Engineering (2011-2016) – Chung-Ang University, Seoul, Korea (GPA: 4.41/4.50). M.S. in Civil and Environmental Engineering (2007-2009) – Chung-Ang University, Seoul, Korea (GPA: 4.31/4.50). B.S. in Civil and Environmental Engineering (2001-2007) – Chung-Ang University, Seoul, Korea (GPA: 3.65/4.50).

💼Experience

Dr. Kim has extensive experience in civil engineering, holding key roles at DL E&C, Daelim Industrial Co., and Chungsuk Engineering. As a Senior Manager, he spearheads initiatives in BIM and smart construction technologies. His academic tenure includes serving as a Research and Teaching Assistant at Chung-Ang University, where he contributed to composite structures research. Dr. Kim’s expertise extends to technical advisory roles, guiding infrastructure and digital construction projects.

🏆Awards and Honors

Chairperson for Construction BIM Standards Curriculum Development (2024). Numerous roles in national BIM committees, shaping Korea’s digital construction policies. Recognized for excellence in smart construction technologies through advisory and academic achievements.

🔬Research Focus

Dr. Kim’s research spans modular construction, composite structures, and BIM technologies. He explores machine learning applications, smart construction innovations, and digital engineering. His focus is on modular CFT columns, fast construction using BIM, and enhancing infrastructure design with AI integration.

Conclusion

Dr. Dongwook Kim’s outstanding academic credentials, substantial contributions to smart construction, and active role in shaping BIM standards make him a prime candidate for the Best Researcher Award. His continuous involvement in cutting-edge projects and technical committees demonstrates his leadership in the transformation of the civil engineering industry. With some focused attention on integrating newer technological advancements, particularly in AI, his research has the potential to drive significant innovation in the construction sector.

Publications

  1. Cyclic Performance of Prefabricated Bridge Piers with Concrete-Filled Steel Tubes and Improved Bracing Connection Detail
    Journal: Applied Sciences
    Date: 2024-12-17
    DOI: 10.3390/app142411810
    Contributors: Dongwook Kim, Chi-Ho Jeon, Ki-Tae Park

 

  1. Soil Sharing and Equipment Operations Through Digitalization of Large-Scale Earthworks
    Journal: Buildings
    Date: 2024-12-15
    DOI: 10.3390/buildings14123981
    Contributors: Dongwook Kim

 

  1. An Experimental Study on the Deterioration Behaviour of External Tendons Due to Corrosion
    Journal: KSCE Journal of Civil Engineering
    Date: 2023-12
    DOI: 10.1007/s12205-023-0316-5
    Contributors: Dongwook Kim, Chi-Ho Jeon, Chang-Su Shim

 

Xuan Du| Hydraulic Engineering| Best Researcher Award

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Assoc. Prof. Dr. Xuan Du| Hydraulic Engineering| Best Researcher Award

Assoc. Prof. Dr at Department of Hydraulic Engineering, China

Xuan Du, PhD, is a Lecturer at Yangling Vocational & Technical College, specializing in hydraulic engineering and ecological conservation. With expertise in water-soil resource management and drainage systems, she has conducted research in Iowa and Shaanxi. Her work spans teaching, innovation, and restoration in water and soil conservation, with numerous academic publications and patents.

Profile

Scopus

🎓 Education

PhD (2011–2017): Northwest A&F University; Agricultural Engineering; Iowa State University (Visiting Student). Master’s (2008–2011): Northwest A&F University; Soil Erosion and Water Conservation. Bachelor’s (2004–2008): Xi’an University of Arts and Science; Geography. Thesis/Dissertation topics include nitrogen loss in corn-soybean fields, straw return effects, and soil conservation techniques.

💼 Experience

Lecturer (2018–Present): Yangling Vocational & Technical College; Courses on water-soil conservation, ecosystem management, and innovation. PhD Research: Iowa State University and Northwest A&F; N-leaching modeling with DRAINMOD-N II and RZWQM2. Master’s Research: Soil structure improvement using urban-rural waste.

🏆 Awards & Honors

1st Award: “Internet+” Innovation Competition (2019). 2nd Award: Water Conservancy Digital Teaching Contest (2019). China Scholarship Council Scholarship (2012). Multiple “Outstanding Student” and “Outstanding Thesis” Awards (2008–2019).

🔬 Research Focus

Efficient water-soil resource use and nitrogen loss modeling. Crop straw return impacts on soil and crop growth. Drainage system improvements and nutrient transport dynamics. Soil health assessment using advanced modeling techniques.

Conclusion

Dr. Xuan Du is a highly accomplished researcher and educator, with significant contributions to sustainable agricultural practices and soil conservation. His innovative research and teaching excellence make him a strong contender for the “Best Researcher Award.”

Publications 📚

Conservation Management Decreases Surface Runoff and Soil Erosion
Journal: International Soil and Water Conservation Research
Year: 2022
Details: Focuses on soil conservation impacts on runoff and erosion reduction.

Metropolis-Hastings Markov Chain Monte Carlo Approach to Simulate van Genuchten Model Parameters
Journal: Water
Year: 2022
Details: Simulation of soil water retention curve parameters.

Comparing Simulated Nitrate-N Concentration in Subsurface Drainage Using DRAINMOD-N II and RZWQM2
Journal: Irrigation and Drainage
Year: 2017
Details: Evaluates drainage models for nitrate transport.

Long-term Effects of Winter Cover Crops on Drainage and Nitrogen Transport
Journal: Journal of Agricultural Engineering
Year: 2017
Details: Assessment of cover crops using the DRAINMOD-N II model.

Meta-analysis of Global Cropland Soil Carbon Changes Due to Cover Cropping
Journal: Soil Biology & Biogeochemistry
Year: 2020
Details: Quantifies soil carbon shifts with cover cropping.

A Global Soil Health Database for Soil Health Assessment
Journal: Scientific Data
Year: 2020
Details: Database development for global soil health analysis.

Invention Patent: Soil Fertilizer for Water Storage and Fertility Enhancement
Patent No.: ZL200910218604.2
Authorization: 2012
Details: Innovative soil fertilizer from mixed waste materials.

Effects of Ammoniated Straw on Soil Pore Structure
Journal: Journal of Plant Nutrition and Fertilizer
Year: 2016
Details: Analysis of straw impacts on soil structure.

Abul Abrar Masrur Ahmed | Water Engineering | Best Researcher Award

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Dr. Abul Abrar Masrur Ahmed | Water Engineering | Best Researcher Award

A dedicated data scientist with expertise in applied AI (deep and machine learning) techniques for air quality, bias correction, hydrology, water resources, and climate extremes. I have a decade of experience in building robust Machine Learning solutions, combining professional and research experience to gain deep knowledge in hydrology and water resources. I am passionate about leveraging data science and AI to drive impactful data-driven decisions.

Publication profile

Scopus

Scholar

 

🏆 Evaluation for Best Researcher Award

🔍 Streng ths for the Award:

Extensive Research Experience: With over a decade of experience in applied AI and machine learning for hydrology, climate extremes, and air quality, Dr. Masrur Ahmed has developed a solid research foundation, making significant contributions to environmental and climate sciences. Prolific Publications: A commendable h-index of 16 and an i10-index of 25, along with a considerable number of publications in high-impact journals, reflects Dr. Ahmed’s active research engagement and scholarly impact. Innovative Application of AI: His work in developing hybrid deep learning models for hydrological prediction and air quality forecasting is cutting-edge, pushing the boundaries of traditional environmental science research. Recognized Expertise: His role as a reviewer and guest editor in respected journals, along with memberships in several professional organizations, underscores his standing in the scientific community. Global Collaboration: His involvement in international projects, such as those with the University of Melbourne, CSIRO, and BOM, indicates his ability to work effectively across disciplines and borders.

🔄 Areas for Improvement:

Interdisciplinary Applications: While Dr. Ahmed excels in his niche, expanding his AI applications to other fields, such as agriculture or public health, could further enhance his research portfolio. Leadership Roles: Although he has served as Head of the Civil Engineering Department, more leadership roles in larger, interdisciplinary research projects could solidify his candidacy for top awards. Public Engagement: Increasing efforts to communicate his research to a broader audience through public talks, popular science articles, or media could enhance the societal impact of his work.

🎓 EDUCATION

2019 – 2022 PhD in Applied Artificial Intelligence University of Southern Queensland, Australia Thesis: Development of Deep Learning Hybrid Models for Hydrological Prediction. 2011 – 2017 MSc in Civil & Environmental Engineering Shahjalal University of Science & Technology
Thesis: Development of ANN Model to Predict the DO Concentration of the Surma River. 2005 – 2009 BSc in Civil & Environmental Engineering
Shahjalal University of Science & Technology

💼 WORK EXPERIENCE

Scientist, Climate and Atmospheric Science Department of Climate Change, Energy, the Environment and Water JAN/2024 – Present Developing machine learning and deep learning models focused on emission modeling and air quality forecasting. Research Fellow in Water Resource Modelling The University of Melbourne, Australia FEB/2022 – JAN/2024 Conducted research in water demand forecasting under global warming scenarios, developed probabilistic deep learning models, and collaborated with leading institutions like CSIRO and BOM. Research Scholar
University of Southern Queensland (UniSQ), Australia FEB/2019 – FEB/2022 Developed hybrid deep learning algorithms for hydrological forecasting in the Australian Murray Darling Basin.

🧪 RESEARCH HIGHLIGHTS

  • ORCiD: 0000-0002-7941-3902
  • Google Scholar: Link
  • Citations: 1048
  • h-index: 16
  • i10-index: 25
  • Review/Guest Editor:
    • Frontiers in Artificial Intelligence
    • Journal of Land (Special Edition)

 

Publication top notes

  1. Title: Application of adaptive neuro-fuzzy inference system (ANFIS) to estimate the biochemical oxygen demand (BOD) of Surma River
    Authors: AAM Ahmed, SMA Shah
    Year: 2017

 

  1. Title: Prediction of dissolved oxygen in Surma River by biochemical oxygen demand and chemical oxygen demand using the artificial neural networks (ANNs)
    Authors: AAM Ahmed
    Year: 2014

 

  1. Title: Deep learning hybrid model with Boruta-Random forest optimiser algorithm for streamflow forecasting with climate mode indices, rainfall, and periodicity
    Authors: AAM Ahmed, RC Deo, Q Feng, A Ghahramani, N Raj, Z Yin, L Yang
    Year: 2021

 

  1. Title: LSTM integrated with Boruta-random forest optimiser for soil moisture estimation under RCP4.5 and RCP8.5 global warming scenarios
    Authors: AAM Ahmed, RC Deo, A Ghahramani, N Raj, Q Feng, Z Yin, L Yang
    Year: 2021

 

  1. Title: Deep learning forecasts of soil moisture: convolutional neural network and gated recurrent unit models coupled with satellite-derived MODIS, observations and synoptic-scale variables
    Authors: AAM Ahmed, RC Deo, N Raj, A Ghahramani, Q Feng, Z Yin, L Yang
    Year: 2021

 

  1. Title: A Canadian water quality guideline-water quality index (CCME-WQI) based assessment study of water quality in Surma River
    Authors: GM Munna, MMI Chowdhury, AAM Ahmed, S Chowdhury, MM Alom
    Year: 2013

 

  1. Title: Hybrid deep learning method for a week-ahead evapotranspiration forecasting
    Authors: AAM Ahmed, RC Deo, Q Feng, A Ghahramani, N Raj, Z Yin, L Yang
    Year: 2022

 

  1. Title: New double decomposition deep learning methods for river water level forecasting
    Authors: AAM Ahmed, RC Deo, A Ghahramani, Q Feng, N Raj, Z Yin, L Yang
    Year: 2022

 

  1. Title: Hybrid intelligence models for compressive strength prediction of MPC composites and parametric analysis with SHAP algorithm
    Authors: MA Haque, B Chen, A Kashem, T Qureshi, AAM Ahmed
    Year: 2023

🏅 Conclusion:

Dr. Masrur Ahmed is a strong contender for the Best Researcher Award, given his significant contributions to applied AI in environmental sciences, extensive publication record, and active role in the research community. To further strengthen his candidacy, broadening the interdisciplinary application of his work and increasing his public engagement could be beneficial.