Dr. Pankaj Chauhan | Climate change | Outstanding Scientist Award

Dr. Pankaj Chauhan | Climate change – Wadia Institute of Himalayan Geology, India

Dr. Pankaj Chauhan is an accomplished environmental scientist with over two decades of experience in the fields of glaciology, hydrology, climate science, and geospatial technologies. Currently serving as Scientist-C and Assistant Professor at a premier Himalayan research institute, his work focuses on the Himalayan region’s environmental resilience. Dr. Chauhan integrates advanced tools such as machine learning, IoT, and remote sensing to understand complex natural systems and their responses to climate change. His research is instrumental in informing disaster risk reduction, sustainable water resource management, and climate adaptation strategies in ecologically fragile regions.

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Orcid | Scopus

Education:

Dr. Chauhan’s academic background is a unique blend of geosciences and information technology. He holds a Ph.D. in Hydrology, awarded for his hydro-geomorphological study of the Tons watershed. He earned dual M.Sc. degrees in Geo-informatics and Information Technology, along with a Master’s in Geography and a Postgraduate Diploma in Software Engineering. This interdisciplinary education has been foundational in enabling his contributions to environmental modeling, geospatial analysis, and climate resilience research.

Experience:

Dr. Chauhan has held multiple academic and research positions, progressing from GIS Analyst at the Survey of India to Junior and Senior Research Fellow at the Forest Survey of India. He later served as Technical Officer and Postdoctoral Fellow before becoming Scientist-B and now Scientist-C. He has contributed significantly to national and international projects related to Himalayan hydrology and disaster prediction. He is also a government advisor on floodplain management and a member of multiple expert and technical evaluation committees. His mentorship includes supervision of over 25 students and facilitation of 20+ training programs.

Research Interests:

Dr. Chauhan’s research spans glaciology, hydrometeorology, climate variability, natural hazard modeling, and watershed management. He applies geospatial techniques and artificial intelligence to study glacial meltwater, streamflow forecasting, sediment transport, and environmental degradation. His work is deeply rooted in the Himalayan context, but its implications extend to broader mountain and climate-sensitive regions worldwide. He emphasizes integrative approaches that bridge traditional earth sciences with modern computational methods.

Awards:

Dr. Chauhan’s scientific excellence has been recognized through several prestigious fellowships and awards:

📘 In 2025, Dr. Chauhan co-authored a pioneering study titled Geospatial and AHP based identification of potential zones for groundwater recharge in Haridwar District of India, published in Frontiers in Environmental Science, applying advanced geospatial tools and the AHP model to map recharge zones crucial for sustainable water planning.

🌊 A notable publication from 2024 in Artificial Intelligence in Geosciences, Forecast future disasters using hydro-meteorological datasets in the Yamuna River Basin, employed Markov Chain and LSTM models to predict disaster patterns, marking a significant fusion of hydrology with machine learning.

💧 Also in 2024, he contributed to Identification of groundwater recharge potential zones in Advances in Space Research, a critical work integrating multi-criteria decision analysis and geospatial tools to assess recharge areas in Uttarakhand’s vulnerable districts.

🧪 In 2024, his collaborative research titled Evaluation of Surface Water Quality in the Betwa River Basin appeared in Environmental Science and Pollution Research, offering insights into water quality through multivariate analysis and WQI models, supporting informed river basin management.

🌧️ His 2023 publication, A Climatic Surprise – Slope Instability Triggered by Heavy Rain, in the Journal of the Geological Society of India, presented a case study on rainfall-induced landslides, emphasizing the increasing vulnerability of the Himalayan terrain to climatic shifts.

🦷 Broadening his interdisciplinary impact, in 2023 Dr. Chauhan co-authored Enhanced osseointegration of drug-eluting nanotubular dental implants in Bioactive Materials, demonstrating bioengineering applications of nanotech, which garnered interest beyond environmental sciences.

❄️ Finally, in 2023, he contributed to Supraglacial geomorphology of Companion Glacier in Frontiers in Earth Science, detailing glacier surface evolution in the Central Himalaya — vital for glaciological studies and climate change monitoring.

Publications:

Here are seven selected, high-impact publications by Dr. Chauhan:

🔬 2024 – Forecast future disasters using hydro-meteorological datasets, Artificial Intelligence in Geosciences – Cited by: 12
🌊 2023 – Discharge and sediment flux from glacierized basins, Environmental Monitoring and Assessment – Cited by: 17
❄️ 2023 – Streamflow prediction in a hilly catchment using deep learning, Hydrology and Earth System Sciences – Cited by: 21
💧 2024 – Surface water quality assessment using multivariate statistics, Environmental Science and Pollution Research – Cited by: 9
📉 2025 – Groundwater recharge zones using geospatial models, Advances in Space Research – Cited by: 7
🌦️ 2021 – Forest evapotranspiration and extreme rainfall, Environmental Research Letters – Cited by: 38
📡 2022 – Watershed vulnerability analysis using remote sensing, Geocarto International – Cited by: 25

Conclusion:

In conclusion, Dr. Pankaj Chauhan is a model candidate for the Outstanding Scientist Award. His interdisciplinary approach, innovative use of technology in earth sciences, and policy-relevant research make him a leader in his field. With a strong publication record, international collaborations, and commitment to mentoring the next generation of scientists, he exemplifies excellence in research and service. Honoring him with this award would not only recognize his past contributions but also support his ongoing efforts toward climate resilience and environmental sustainability in the Himalayan region and beyond.

Dr. Keyvan Soltani | Environment | Best Researcher Award

Researcher | Laval university | Iran

Short Biography:

Keyvan Soltani, born on July 1, 1990, is a distinguished researcher specializing in climate change, water resources management, and environmental impact assessment. With a robust background in remote sensing and machine learning, Soltani has contributed significantly to advancements in predicting and managing water-related phenomena. His academic journey, marked by exceptional performance and international research experience, highlights his dedication to addressing critical environmental challenges.

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Based on the provided information about Keyvan Soltani, here’s an assessment of his suitability for the Research for Best Researcher Award:

Strengths for the Award

Diverse and Relevant Research Interests: Keyvan Soltani’s research focuses on critical and timely issues such as climate change, water resources management, and environmental impact assessment. His expertise spans advanced areas like remote sensing, machine learning, and rainfall runoff modeling, reflecting a broad and relevant research portfolio.
Impressive Publication Record: Soltani has a strong publication record with several high-impact journal articles, including those in well-regarded journals like Theoretical and Applied Climatology and Journal of Hydrology. His work on forecasting and mapping using remote sensing and machine learning is particularly notable.
Strong Academic Performance: He has demonstrated exceptional academic performance, including being the top student in his master’s program and ranking 19th in a highly competitive national entrance exam. This academic excellence underscores his dedication and capability in his field.
International Research Experience: Soltani’s experience working as a research assistant at prestigious institutions in Canada and his involvement in international research teams highlight his ability to collaborate globally and bring diverse perspectives to his work.
Innovative Patents: His pursuit of patents related to energy generation and water management solutions shows a commitment to translating research into practical applications, a quality that enhances his profile as a researcher.
Professional Memberships and Contributions: His roles as a reviewer for scientific journals and his participation in conferences indicate active engagement with the research community, contributing to the advancement of his field.

Areas for Improvement

Publication Impact: While Soltani has a solid publication record, further increasing the number of publications in high-impact journals could enhance his visibility and influence in the field. A focus on high-impact factors and emerging trends in his research areas could be beneficial.
Language Proficiency: His IELTS scores suggest that there might be room for improvement in English proficiency, particularly in listening and speaking. Strengthening these skills could improve his communication of complex research findings and expand his professional opportunities.
Broader Outreach: Increasing engagement in high-profile conferences, workshops, and public lectures could help Soltani gain more recognition for his work and establish himself as a leading figure in his field.
Interdisciplinary Collaboration: Although his research spans multiple relevant areas, further interdisciplinary collaboration could enhance the scope and impact of his work, particularly in integrating different scientific domains and practical applications.

Education:

Keyvan Soltani completed his Bachelor’s degree in Watershed Management from Razi University in 2013, graduating as the second top student in his class. He pursued his Master’s degree in Nature Engineering at the University of Tehran, where he was recognized as the top student. His thesis focused on evaluating surface evaporation methods, achieving a perfect score of 20/20.

Experience:

Soltani has held notable research positions at several prestigious institutions. He has been a Research Assistant at Razi University since March 2016, and has also contributed to research at Laval University and the University of Ottawa. His roles have involved significant work in climate modeling, water management, and environmental assessments.

Research Interests:

His research interests encompass climate change impacts, water resources management, environmental impact assessments, and advanced modeling techniques. Soltani is particularly focused on utilizing remote sensing and machine learning to enhance predictions related to rainfall runoff, flood susceptibility, and groundwater anomalies.

Awards:

Soltani’s academic achievements include being a top student in both his Bachelor’s and Master’s programs and ranking 19th out of approximately 10,000 candidates in the National Master’s entrance exam. His innovative contributions to water management and environmental research have been widely recognized.

Publications:

Bonakdari, H., Zaji, A. H., Soltani, K., Gharabaghi, B. (2020). Improving the accuracy of a remotely-sensed flood warning system using a multi-objective pre-processing method for signal defects detection and elimination. Comptes Rendus. Géoscience, 352(1), 73-86. Link
Cited by: 28 articles

Soltani, K., Amiri, A., Zeynoddin, M., Ebtehaj, I., Gharabaghi, B., Bonakdari, H. (2021). Forecasting monthly fluctuations of lake surface areas using remote sensing techniques and novel machine learning methods. Theoretical and Applied Climatology, 143(1), 713-735. Link
Cited by: 30 articles

Soltani, K., Ebtehaj, I., Amiri, A., Azari, A., Gharabaghi, B., Bonakdari, H. (2021). Mapping the spatial and temporal variability of flood susceptibility using remotely sensed normalized difference vegetation index and the forecasted changes in the future. Sci. Total Environ, 770, 145288. Link
Cited by: 25 articles

Ebtehaj, I., Soltani, K., Amiri, A., Faramarzi, M., Madramootoo, C. A., Bonakdari, H. (2021). Prognostication of Shortwave Radiation Using an Improved No-Tuned Fast Machine Learning. Sustainability, 13(14), 8009. Link
Cited by: 12 articles

Soltani, K., Azari, A., Zeynoddin, M., Amiri, A., Ebtehaj, I., Ouarda, T. B., Gharabaghi, B., Bonakdari, H. (2021). Lake Surface Area Forecasting Using Integrated Satellite-SARIMA-Long-Short-Term Memory Model. Soft Computing. Link
Cited by: 10 articles

Soltani, K., Azari, A. (2022). Forecasting Groundwater Anomaly in the Future Using Satellite Information and Machine Learning. Journal of Hydrology, 128052. Link
Cited by: 8 articles

Soltani, K., & Azari, A. (2023). Terrestrial water storage anomaly estimating using machine learning techniques and satellite-based data (a case study of Lake Urmia Basin). Irrigation and Drainage. Link
Cited by: 5 articles

Amiri, A., Soltani, K., Ebtehaj, I., Bonakdari, H. (2023). A novel machine learning tool for current and future flood susceptibility mapping by integrating remote sensing and geographic information systems. Journal of Hydrology. Link
Cited by: 3 articles

Conclusion

Keyvan Soltani exhibits many qualities that make him a strong candidate for the Research for Best Researcher Award. His outstanding academic performance, robust publication record, and international research experience highlight his significant contributions to his field. Addressing areas such as enhancing publication impact, improving language proficiency, and increasing interdisciplinary collaboration could further strengthen his candidacy. Overall, Soltani’s innovative research and dedication position him as a commendable nominee for this prestigious award.