Abhijeet Das | Environmental Science | Excellence in Environmental Sustainability Research

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Dr. Abhijeet Das | Environmental Science | Excellence in Environmental Sustainability Research

C.V. Raman Global University | India

Dr. Abhijeet Das is a distinguished researcher in Water Resource Engineering, with expertise spanning watershed hydrology, hydrological modeling, climate change impact assessment, water quality control, machine learning, and geoinformatics. He has authored 89 documents that have collectively garnered 205 citations across 103 documents, reflecting an h-index of 8, underscoring his growing academic influence. With over a decade of combined experience in teaching, consultancy, and research, he has actively contributed to international collaborative projects in Saudi Arabia, Tunisia, South Africa, the UK, USA, Oman, Syria, and Lebanon, focusing on sustainable water management, GIS applications, and machine learning-driven environmental assessments. His prolific research output is complemented by more than 30 patents filed/published in areas such as artificial intelligence, IoT-based water quality systems, waste management, and sustainable environmental technologies. In addition, Dr. Das has published several books covering civil engineering, wastewater management, artificial intelligence in education, research methodology, and cancer biology. His work has been recognized through multiple “Best Paper Awards,” international speaking invitations, and honors such as the “Inspiring Educator Award” and “Research Excellence Award.” Serving as a reviewer for leading international journals, he continues to advance interdisciplinary solutions addressing hydrological extremes, climate resilience, and sustainable resource management.

Profiles : Scopus | Orcid

Featured Publications

Das, A. (2025). 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.

Das, A. (2025). Reimagining biofiltration for sustainable industrial wastewater treatment. [Journal name not specified].

Das, A. (2025). 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.

Das, A. (2025). 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.

Das, A. (2025). Bioplastics: A sustainable alternative or a hidden microplastic threat? Innovative Infrastructure Solutions.

Das, A. (2025). Surface water quality assessment for drinking and pollution source characterization: A water quality index, GIS approach, and performance evaluation utilizing machine learning analysis. Desalination and Water Treatment.

Das, A. (2025). Geographical Information System–driven intelligent surface water quality assessment for enhanced drinking and irrigation purposes in Brahmani River, Odisha (India). Environmental Monitoring and Assessment.

Das, A. (2025). Spatiotemporal evaluation and impact of superficial factors on surface water quality for drinking using innovative techniques in Mahanadi River Basin, Odisha, India. Journal of Hydrology Regional Studies.

Trhas Kahsay | Earth and Planetary Sciences | Editorial Board Member

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Ms. Trhas Kahsay | Earth and Planetary Sciences | Editorial Board Member

Botswana International University Of Science and Technology | Botswana

Author Profile

Scopus

Orcid

Early Academic Pursuits 🎓

Ms. Trhas Kahsay began her academic journey with a Bachelor of Science (B.Sc.) in Applied Geology from Mekelle University, Ethiopia, where she graduated with excellent honors, scoring 3.64/4. She continued her studies at Addis Ababa University, earning a Master of Science (M.Sc.) in Geology with a thesis focused on sedimentological and geochemical analysis, achieving a notable score of 3.65/4. Currently, she is pursuing her Ph.D. at the Botswana International University of Science and Technology, where she is investigating the biogeochemical and sedimentological characteristics of Makgadikgadi playa lake deposits for astrobiological implications.

Professional Endeavors 💼

From 2015 to 2022, Ms. Kahsay held positions at Mekelle University, first as an Assistant Lecturer and then as a Lecturer in the School of Earth Sciences. Her teaching encompassed subjects such as sedimentary petrology and paleontology, alongside supervising undergraduate students. Her role allowed her to actively engage with students and contribute to the academic community through fieldwork campaigns and practical lab activities.

Contributions and Research Focus 🔬

Ms. Kahsay’s research primarily explores the astrobiological potential of environments similar to those found on Mars. Her current project investigates the Makgadikgadi Basin in Botswana, aiming to understand its biogeochemical and sedimentological properties. She has also contributed to significant studies on microbial diversity in extreme environments, providing insights into the potential for life beyond Earth.

Accolades and Recognition 🏆

Throughout her academic career, Ms. Kahsay has participated in various national and international conferences, showcasing her research and receiving recognition for her contributions. Her work has been accepted for publication in reputable journals, further establishing her as a rising scholar in the fields of geology and astrobiology.

Impact and Influence 🌍

Through her research, Ms. Kahsay aims to enhance our understanding of extreme environments and their implications for planetary exploration. By examining the Makgadikgadi Basin, her work contributes valuable knowledge to astrobiology and the potential for life on other planets, influencing future research in the field.

Legacy and Future Contributions 🚀

Ms. Kahsay is poised to make significant contributions to the fields of geology and astrobiology. Her dedication to exploring the connections between terrestrial and extraterrestrial environments positions her to influence future research and understanding of life beyond Earth. As she progresses in her studies, her innovative approach promises to expand the frontiers of knowledge in planetary science and exploration.

 

Publications

📝 The astrobiological potential of the Makgadikgadi Basin, Botswana: Field analogue for planetary exploration
Authors: Kahsay, T.H.; Asrat, A.; Franchi, F.
Journal: Planetary and Space Science
Year: 2024

📝 Middle Stone Age foragers resided in high elevations of the glaciated Bale Mountains, Ethiopia
Authors: Ossendorf, G.; Groos, A.R.; Bromm, T.; Tekelemariam, M.G.; Glaser, B.; Lesur, J.; Schmidt, J.; Akçar, N.; Bekele, T.; Beldados, A. et al.
Journal: Science
Year: 2019

 

Amanuel Tadase | Earth and Planetary Sciences | Editorial Board Member

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Mr. Amanuel Tadase | Earth and Planetary Sciences | Editorial Board Member

Oda Bultum University | Ethiopia

Author Profile

Scopus

Orcid

Early Academic Pursuits 🎓

Mr. Amanuel Tadase began his academic journey with a Bachelor of Science (B.Sc.) in Hydraulic and Water Resources Engineering from Jimma University, Jimma Institute of Technology, where he studied from 2015 to 2021. His education provided him with a solid foundation in the principles of water resource management and engineering, equipping him with the knowledge necessary to address complex challenges related to water availability and climate change.

Professional Endeavors 💼

Since April 2021, Mr. Tadase has served as a Senior Technical Assistant and Research Assistant at Oda Bultum University. In this role, he has engaged in impactful research focused on water resources and environmental sustainability. His experience at the university has allowed him to contribute significantly to various projects related to climate change and its effects on water resources and agriculture.

Contributions and Research Focus 🔬

Mr. Tadase's research interests lie primarily in the impact of climate change on water resources, drought, and crop production. He is also engaged in comprehensive water and environmental research, which includes studies on watershed management at regional and global levels. His work is crucial for understanding and mitigating the effects of climate variability on vital water resources and agricultural outputs.

Accolades and Recognition 🏆

Mr. Tadase has received notable recognition for his academic contributions, including a Certificate of Appreciation from Jimma University for outstanding work on students' final-year research projects. Additionally, he holds a Certificate in Civil and Hydraulic Equipment operation and management from Arba Minch University, Ethiopia, showcasing his commitment to professional development in his field.

Impact and Influence 🌍

Through his research, Mr. Tadase has made significant contributions to understanding the effects of climate change on water availability and agricultural practices in Ethiopia. His work is essential for developing strategies to adapt to climate variability, ensuring sustainable water management and food security in the region. His research publications, including assessments of climate models and trend analyses, highlight his dedication to advancing knowledge in this critical area.

Legacy and Future Contributions 🚀

Looking ahead, Mr. Tadase is poised to make meaningful contributions to the fields of water resource management and climate change adaptation. His focus on the interconnections between climate change, water availability, and agricultural productivity positions him as a key player in addressing future environmental challenges. As he continues his research, he aims to influence policy and practice in water management, ensuring a sustainable future for communities impacted by climate change.

 

Publications

📄 Assessment of the CORDEX Regional Climate Models Performance in Simulating the Climate Conditions of Arsi Zone Southeastern Ethiopia
Authors: Tadase, A.T.; Mamo, F.L.
Journal: Pure and Applied Geophysics
Year: 2024

📄 Climate Trend Analysis in the Ramis Catchment, Upper Wabi Shebelle Basin, Ethiopia, Using the CMIP6 Dataset
Author: Amanuel Tsegaye Tadase
Journal: Journal of African Earth Sciences
Year: 2024

 

Saeid Mehdizadeh | Environmental Science | Best Researcher Award

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Dr. Saeid Mehdizadeh | Environmental Science | Best Researcher Award

Urmia University | Iran

Author Profile

Orcid

Google Scholar

🎓 Early Academic Pursuits

Dr. Saeid Mehdizadeh began his academic journey at Urmia University in Iran, where he earned a Bachelor of Science in Water Engineering Sciences in 2008, followed by a Master's degree in the same field in 2010. His academic performance was consistently outstanding, with GPAs reflecting his dedication and deep understanding of water engineering sciences. He continued his education at Urmia University, where he obtained his PhD in Water Engineering Sciences in 2017, with a remarkable GPA of 19.18/20. His early academic endeavors laid a strong foundation for his future research and professional success.

🛠️ Professional Endeavors

Dr. Mehdizadeh's professional journey is marked by his contributions to the field of water engineering, with a focus on machine learning, artificial intelligence, and optimization algorithms. His work is centered on hydrology, hydrological modeling, drought and flood prediction, river streamflow, rainfall, evaporation, and evapotranspiration. His expertise in these areas has led him to publish numerous influential papers in high-impact journals. Additionally, he has played a significant role in peer review, serving as an outstanding reviewer for prestigious journals like the Journal of Cleaner Production, and as a guest editor for a special issue of the Water Journal.

🧠 Contributions and Research Focus

Dr. Mehdizadeh's research contributions are extensive and impactful, particularly in the application of advanced machine learning models and hybrid techniques to solve complex hydrological problems. His work on the development of wavelet-based hybrid models and the integration of artificial intelligence with time series analysis has provided significant advancements in the modeling of environmental phenomena such as soil temperature, streamflow, and drought. His research is not only theoretical but also practical, offering solutions to real-world problems related to water resources management.

🏆 Accolades and Recognition

Dr. Mehdizadeh has received numerous accolades for his contributions to the field. In June 2018, he was recognized as an outstanding reviewer by the Journal of Cleaner Production, a testament to his expertise and dedication to maintaining high standards in scientific research. His role as a guest editor for the Water Journal further highlights his leadership in the academic community, where he has curated and overseen research on drought monitoring and modeling using advanced machine learning models.

🌍 Impact and Influence

Dr. Mehdizadeh's work has had a profound impact on the field of water engineering and beyond. His research has influenced the way hydrological models are developed and applied, particularly in the context of environmental management and climate change adaptation. His contributions to the understanding and prediction of hydrological phenomena have been widely recognized and cited by peers, underscoring his influence in both academic and practical domains.

🌟 Legacy and Future Contributions

As Dr. Mehdizadeh continues to advance his research, his legacy in the field of water engineering is firmly established. His work on machine learning and artificial intelligence in hydrology sets the stage for future innovations and applications that will further enhance our ability to manage and protect water resources. His ongoing contributions are expected to continue shaping the future of water engineering, with a lasting impact on both the scientific community and society at large.

 

Publications 📚

  • 📄Deep Learning Hybrid Models with Multivariate Variational Mode Decomposition for Estimating Daily Solar Radiation
    Authors: Shahab S. Band, Sultan Noman Qasem, Rasoul Ameri, Hao-Ting Pai, Brij B. Gupta, Saeid Mehdizadeh, Amir Mosavi
    Journal: Alexandria Engineering Journal
    Year: 2024
  • 📄Development of Wavelet-Based Hybrid Models to Enhance Daily Soil Temperature Modeling: Application of Entropy and τ-Kendall Pre-Processing Techniques
    Authors: Saeid Mehdizadeh, Farshad Ahmadi, Ali Kouzehkalani Sales
    Journal: Stochastic Environmental Research and Risk Assessment
    Year: 2023
  • 📄Improving the Performance of Random Forest for Estimating Monthly Reservoir Inflow via Complete Ensemble Empirical Mode Decomposition and Wavelet Analysis
    Authors: Farshad Ahmadi, Saeid Mehdizadeh, Vahid Nourani
    Journal: Stochastic Environmental Research and Risk Assessment
    Year: 2022
  • 📄Establishing Coupled Models for Estimating Daily Dew Point Temperature Using Nature-Inspired Optimization Algorithms
    Authors: Saeid Mehdizadeh, Babak Mohammadi, Farshad Ahmadi
    Journal: Hydrology
    Year: 2022
  • 📄A Novel Hybrid Dragonfly Optimization Algorithm for Agricultural Drought Prediction
    Authors: Pouya Aghelpour, Babak Mohammadi, Saeid Mehdizadeh, Hadigheh Bahrami-Pichaghchi, Zheng Duan
    Journal: Stochastic Environmental Research and Risk Assessment
    Year: 2021

 

Bipin Kumar | Earth and Planetary Sciences | Best Researcher Award

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Dr. Bipin Kumar | Earth and Planetary Sciences | Best Researcher Award

Indian Institute of Tropical Meteorology | India

Author Profile

Scopus

Early Academic Pursuits

Dr. Bipin Kumar's academic journey began with a Bachelor of Science in Physical Sciences from the University of Allahabad in 1995, followed by a Master of Science in Mathematics from IIT Kanpur in 1998. He then pursued an MS in Research (Mathematics) at the National University of Singapore in 2006, focusing on computational methods for phase-field models. His quest for deeper expertise led him to earn a Ph.D. in Computing from Dublin City University in 2009, with a thesis on high-performance computing for multiphase fluid flows.

Professional Endeavors

Dr. Kumar’s career spans over two decades, encompassing roles in academia, research institutions, and industry. His notable positions include:

  • Scientist and Research Guide at IITM, Pune, India.
  • Associate Professor at Savitribai Phule Pune University.
  • Visiting Scientist at NCAR, Boulder, USA, and Visiting Faculty at McGill University, Canada.
  • Associate Faculty at the International Center for Theoretical Sciences, Bengaluru, India.
  • Scientist at Max-Planck-Institute for Meteorology, Germany.

He has held various teaching and research positions, contributing to advancements in high-performance computing, data science, and atmospheric physics.

Contributions and Research Focus

Dr. Kumar's research is centered around:

  • Data Science and AI/ML: Developing parallel Python routines and deep learning algorithms for weather forecasting, data downscaling, fire forecasting, and more.
  • Atmospheric Physics: Studying cloud droplet and aerosol dynamics using DNS.
  • High-Performance Computing (HPC): Enhancing parallel code for CFD problems, 3D visualization, and parallel I/O optimization.
  • Numerical Linear Algebra: Creating parallel algorithms for solving large linear systems of equations.

Accolades and Recognition

Dr. Kumar has received several prestigious awards:

  • DCU Teaching Excellence Nominee Award (2008)
  • Microsoft Postgraduate Research Scholarship (Ireland, 2007-08)
  • DCU Dean’s Connect Scholarship (Ireland, 2006-09)
  • NUS Research Scholarship (Singapore, 2004-06)
  • CSIR Senior Research Fellowship (India, 2004)

Impact and Influence

Dr. Kumar’s work has significantly influenced fields such as HPC, data science, and atmospheric physics. His contributions to developing computational methods for complex fluid flows and forecasting systems have advanced our understanding of cloud dynamics and weather patterns. His research has impacted both theoretical and practical aspects of meteorology and data analysis.

Legacy and Future Contributions

Dr. Kumar aims to broaden his impact through continued research and teaching. By leveraging his expertise in HPC, data science, and cloud microphysics, he aspires to address critical challenges in earth science and contribute to the development of innovative solutions for climate and environmental issues.

 

   Publications

  • Deep learning-based bias correction of ISMR simulated by GCM
    Authors: Sumanta Chandra Mishra Sharma, Bipin Kumar, Adway Mitra, Subodh Kumar Saha
    Journal: Atmospheric Research
    Year: 2024

 

  • Harnessing deep learning for forecasting fire-burning locations and unveiling PM2.5 emissions
    Authors: Gaikwad, S., Kumar, B., Yadav, P.P., Rao, S.A., Ghude, S.D.
    Journal: Modeling Earth Systems and Environment
    Year: 2024

 

  • Machine learning based quantification of VOC contribution in surface ozone prediction
    Authors: Kalbande, R., Kumar, B., Maji, S., Rathore, D.S., Beig, G.
    Journal: Chemosphere
    Year: 2023

 

  • On the modern deep learning approaches for precipitation downscaling
    Authors: Kumar, B., Atey, K., Singh, B.B., Nanjundiah, R.S., Rao, S.A.
    Journal: Earth Science Informatics
    Year: 2023

 

  • A modified deep learning weather prediction using cubed sphere for global precipitation
    Authors: Singh, M., Acharya, N., Patel, P., Nanjundiah, R.S., Niyogi, D.
    Journal: Frontiers in Climate
    Year: 2023