Bittu Ghosh | Civil Engineering | Research Excellence Award

Dr. Bittu Ghosh | Civil Engineering | Research Excellence Award

Research Scholar | Nit Durgapur | India

Dr. Bittu Ghosh is a civil engineering researcher specializing in construction engineering and management with a strong focus on infrastructure digitalisation. His research centers on Building Information Modeling applications for claims, quality, safety, productivity enhancement, and dispute management in transportation and infrastructure projects. He has contributed extensively through peer-reviewed journal articles, patents, book chapters, and conference papers addressing BIM frameworks, artificial intelligence applications, document management systems, and sustainable construction practices. Professionally, he has experience in infrastructure project execution and management roles, combining academic research insights with practical construction industry implementation and technology-driven decision support.

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Citations
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Featured Publications

3D Printing Technology and Future of Construction: A Review

– International Conference on Creative and Innovative Solutions in Civil Engineering

Digitalized Document Management System for Construction Claims and Disputes Using BIM

– Journal of Legal Affairs and Dispute Resolution in Engineering

Deme Hirko | Civil | Best Researcher Award

Mr. Deme Hirko | Civil | Best Researcher Award

Lecturer | Stellenbosch University | South Africa

Mr. Deme Hirko is a Water Resources Engineer, Climate Researcher, and Lecturer with extensive experience in teaching, research, and project coordination in the fields of hydrology, irrigation, and water systems management. His work focuses on sustainable water resource strategies, integrating advanced hydrological models with machine learning to optimize water allocation and assess the impacts of climate change. As a PhD researcher at Stellenbosch University, he develops Python-based analytical tools and applies data-driven methods to enhance climate impact assessments and water management efficiency. He has taught and supervised numerous students in hydraulic engineering and water resource modelling, combining academic rigor with practical insights from his earlier experience in infrastructure project management. His research explores the intersection of climate science, data analytics, and high-performance computing, aiming to improve resilience in water-scarce regions. He has published several peer-reviewed papers on topics such as machine learning applications in hydrology, water allocation modelling, and irrigation performance evaluation. In addition to his academic work, he actively participates in international conferences and specialized training programs related to climate modelling, Earth observation, and water resource assessment. Committed to interdisciplinary collaboration, he strives to advance research that supports equitable and data-informed water management policies, particularly within the context of climate variability in Africa.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Hirko, D. B., Du Plessis, J. A., & Bosman, A. (2025). Using machine learning and satellite data to analyse climate change in the Upper Awash Sub-basin, Ethiopia. Physics and Chemistry of the Earth, Parts A/B/C.

Hirko, D. B., Du Plessis, J. A., & Bosman, A. (2025). Review of machine learning and WEAP models for water allocation under climate change. Earth Science Informatics.

Hirko, D. B., Gebul, M. A., Du Plessis, J. A., & Emama, W. O. (2023). Assessment of irrigation water allocation, Koftu, Ethiopia. Water Practice & Technology, 18(6).

Hirko, D. B., & Du Plessis, J. A. (2023, April 16). Assessing the effectiveness of Koftu’s small-scale irrigation schemes in enhancing water resource utilization in Ethiopia [Preprint]. ESSOAr.

Hirko, D. B. (2022, July 27). Irrigation land suitability assessment of Sibilu River catchment using geographic information system. Irrigation & Drainage Systems Engineering.