Mr. Anastasios Ziakas | Alternative Fuels in Shipping | Best Innovator Award

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Mr. Anastasios Ziakas | Alternative Fuels in Shipping | Best Innovator Award

University of Piraeus | Greece

Mr. Anastasios Ziakas is a dedicated research associate specializing in maritime studies, transport economics, and sustainable shipping solutions. He currently contributes to the University of Piraeus Research Center, following a prior role at the Centre for Research and Technology Hellas, Hellenic Institute of Transport, focusing on transport economics, environmental impacts, and maritime and air transport systems. Anastasios holds a Master’s degree in Shipping from the University of Piraeus, where his thesis explored dry port location selection and impact assessment, achieving top marks. He is also pursuing a PhD in Maritime Studies at the University of Piraeus, investigating coastal shipping trends and their effects on ship-port interfaces. His academic foundation includes a Bachelor’s degree in Business Administration from Athens University of Economics and Business and an Erasmus+ exchange in Economics studies at Poznan University of Economics and Business. Proficient in Python, GIS, data analysis, visualization, and research proposal development, he combines technical expertise with strategic insight. His research interests encompass shipping decarbonization, port operations, logistics, cruise sector optimization, yachting, and the intersection of economics and operations research. Recognized for his analytical rigor and contributions to sustainable maritime transport, he continues to advance knowledge in shipping efficiency and environmental sustainability, bridging academic research with practical maritime applications.

Profile: Orcid

Featured Publication

Ziakas, A., & Boile, M. (2025). Toward zero-emission ferries: integrating systematic review and bibliometric analysis insights on alternative fuels and policies. Journal of Shipping and Trade, Published online November 4, 2025.

Dr. Abhijeet Das | Water Resource Engineering | Distinguished Scientist Award

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Dr. Abhijeet Das | Water Resource Engineering | Distinguished Scientist Award

C.V. Raman Global University (CGU), Bhubaneswar | India

Dr. Abhijeet Das is an accomplished water resource engineer specializing in watershed hydrology, hydrological modeling, water quality control, and climate change impact assessment. He holds a B.Tech in Civil Engineering from ABIT College (BPUT, Rourkela), an M.Tech in Water Resource Engineering from the College of Engineering and Technology (BPUT, Bhubaneswar), and a Ph.D. in Water Resource Engineering from C.V. Raman Global University, Bhubaneswar. With extensive experience in GIS, remote sensing, and geoinformatics, he has contributed significantly to hydrological modeling, flood and drought assessment, and the integration of machine learning techniques for water resource management. Dr. Das has held positions as a GIS Analyst, Teaching Assistant, and Research Consultant, leading spatial data management, hydrological and hydraulic modeling, flood risk analysis, and multi-criteria decision support. His expertise spans numerical modeling, optimization techniques, artificial neural networks, and fuzzy logic for environmental and water systems. He has successfully guided GIS projects, developed dashboards for real-time monitoring, and collaborated with government agencies for watershed and crop management planning. Dr. Das’s research focuses on sustainable water management, climate resilience, and the Food-Energy-Water (FEW) nexus. His contributions have advanced environmental impact assessment and decision-making tools. He continues to drive innovation in water resource engineering and hydrological research, fostering a data-driven approach to sustainable resource management.

Profile: Scopus

Featured Publications

Drinking water resources suitability assessment in Brahmani River, Odisha, based on pollution index of surface water utilizing advanced water quality methods. Scientific Reports.

An optimization-based framework for water quality assessment and pollution source apportionment employing GIS and machine learning techniques for smart surface water governance. Discover Environment.

A data-driven approach utilizing machine learning (ML) and geographical information system (GIS)-based time series analysis with data augmentation for water quality assessment in Mahanadi River Basin, Odisha, India. Discover Sustainability.

Water quality assessment and geospatial techniques for the delineation of surface water potential zones: A data-driven approach using machine learning models. Desalination and Water Treatment

Evaluation and prediction of surface water quality status for drinking purposes using an integrated water quality indices, GIS approaches, and machine learning techniques. Desalination and Water Treatment

Dr. Abhijeet Das | Environmental Pollution | Environmental Chemistry Commitment Award

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Dr. Abhijeet Das | Environmental Pollution | Environmental Chemistry Commitment Award

C.V. Raman Global University (CGU), Bhubaneswar | India

Dr. Abhijeet Das is a dedicated researcher and academic in the field of Water Resource Engineering, with a strong background in civil and environmental studies. He holds a Ph.D. in Water Resource Engineering from C.V. Raman Global University, Bhubaneswar (2024), an M.Tech in Water Resource Engineering from Biju Patnaik University of Technology, Rourkela (2017), and a B.Tech in Civil Engineering from the same university (2015). With over ten years of cumulative professional experience, he has contributed as a Project Consultant at Madhu Smita Design & Engineers Studio, Bhubaneswar, and served as a faculty member at IGIT Sarang and CET Bhubaneswar, shaping the academic and professional growth of students. His research interests span watershed hydrology, hydrological modeling, hydrologic extremes such as floods and droughts, climate change impact assessment, food-energy-water nexus, machine learning, GIS and remote sensing, simulation-optimization, water quality, and environmental impact assessment. He has been widely recognized for his scholarly contributions, securing numerous Best Paper Awards at prestigious national and international conferences for his innovative approaches in surface water quality assessment and hydrological studies. Driven by a passion for sustainable water management and advanced geospatial techniques, Dr. Das continues to make impactful contributions to the field of water resources engineering.

Profile: Scopus

Featured Publications

An optimization based framework for water quality assessment and pollution source apportionment employing GIS and machine learning techniques for smart surface water governance

Reimagining biofiltration for sustainable industrial wastewater treatment

A data-driven approach utilizing machine learning (ML) and geographical information system (GIS)-based time series analysis with data augmentation for water quality assessment in Mahanadi River Basin, Odisha, India

Evaluation and prediction of surface water quality status for drinking purposes using an integrated water quality indices, GIS approaches, and machine learning techniques

Bioplastics: a sustainable alternative or a hidden microplastic threat?

Surface water quality assessment for drinking and pollution source characterization: A water quality index, GIS approach, and performance evaluation utilizing machine learning analysis

Geographical Information System–driven intelligent surface water quality assessment for enhanced drinking and irrigation purposes in Brahmani River, Odisha (India)