Latha Radhadevi | Environmental Science | Innovative Research Award

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Innovative Research Award

Latha Radhadevi
Indian Institute of Tropical Meteorology, India

Latha Radhadevi
Affiliation Indian Institute of Tropical Meteorology
Country India
Scopus ID 55880952000
Documents 43
Citations 610
h-index 14
Subject Area Environmental Science
Event International Forensic Scientist Awards
ORCID 0000-0002-1822-565X

Latha Radhadevi is a researcher affiliated with the Indian Institute of Tropical Meteorology whose documented research profile is situated within Environmental Science. The supplied bibliographic record identifies 43 documents, 610 citations, and an h-index of 14. Her recent publication record addresses environmental monitoring, atmospheric pollution, land-use and land-cover change, evapotranspiration, forest-fire impacts, and air-quality assessment, providing a research portfolio connected to environmental observation and analysis.

Abstract

The research profile of Latha Radhadevi encompasses environmental monitoring and assessment with particular relevance to air quality, particulate matter, forest-fire effects, and environmental controls on hydrological processes. Recent work includes a 2026 study examining heavy-metal exposure and source profiling through leaf-deposited particulate matter in Pune city [1]. Other documented studies examine evapotranspiration under changing land-use and weather conditions, forest-fire effects on air quality, and observed changes in Delhi air quality [2] [3] [4].

Keywords

Environmental Science; air quality; particulate matter; heavy metals; atmospheric pollution; forest fires; land-use and land-cover change; evapotranspiration; environmental monitoring.

Introduction

Environmental research increasingly integrates atmospheric observations, land-surface information, and indicators of pollution exposure to understand changes across urban and regional environments. Radhadevi’s supplied publication record reflects this interdisciplinary setting. The studies cover both direct environmental measurements and analytical approaches for identifying environmental drivers, including particulate deposition, forest fires, weather parameters, and land-use change.

Research Profile

The profile combines environmental observation with assessment of pollution sources and environmental variability. The 2026 article on leaf-deposited particulate matter considers heavy-metal exposure and source profiling in Pune, while the 2025 work on the Chota Nagpur Plateau examines sustained agriculture indicators and relationships involving land-use and land-cover and weather parameters [1] [2]. These themes place the research within applied environmental monitoring and climate-sensitive environmental assessment.

Research Contributions

  • Assessment of heavy-metal exposure and particulate sources using leaf-deposited material in an urban environment [1].
  • Analysis of land-use, weather parameters, evapotranspiration, and agricultural sustainability indicators [2].
  • Investigation of forest-fire effects on air quality in Northeast India [3].

Publications

Selected recent publications include Heavy metal exposure and source profiling based on leaf-deposited particulate matter in Pune city, published in Environmental Monitoring and Assessment on 16 September 2026 [1]; Indicators of sustained agriculture, impacts of LULC and weather parameters on ET: Case study in Chota Nagpur Plateau, published in Environmental and Sustainability Indicators in September 2025 [2]; and Assessing the impact of forest fires on air quality in Northeast India, published in Environmental Science: Atmospheres in 2025 [3]. A 2024 preprint addressed changes in Delhi air quality during 2011–2021 and the impact of mitigation measures [4].

Research Impact

The supplied Scopus metrics indicate 43 indexed documents, 610 citations, and an h-index of 14. These bibliometric indicators provide a quantitative view of documented scholarly visibility and should be interpreted in relation to publication year, disciplinary citation practices, and database coverage. The recent publications demonstrate continuing engagement with environmental monitoring questions involving air pollution, particulate matter, land-surface processes, and fire-related atmospheric effects.

Award Suitability

For an Innovative Research Award within the International Forensic Scientist Awards framework, the documented research can be considered in relation to its environmental monitoring focus, application of analytical approaches, and relevance to contemporary environmental assessment. The supplied publication record provides identifiable evidence of research activity in heavy-metal exposure, air quality, forest fires, and land-surface processes [1] [2] [3].

Conclusion

Latha Radhadevi’s documented research profile is centered on Environmental Science, with recent work spanning particulate pollution, heavy-metal exposure, forest-fire impacts, air-quality assessment, and land-surface processes. The supplied bibliometric record and recent DOI-indexed publications provide measurable and traceable indicators of ongoing scholarly activity.

References

  1. Environmental Monitoring and Assessment. (2026). Heavy metal exposure and source profiling based on leaf-deposited particulate matter in Pune city.
    https://doi.org/10.1007/s10661-026-15906-w
  2. Environmental and Sustainability Indicators. (2025). Indicators of sustained agriculture, impacts of LULC and weather parameters on ET: Case study in Chota Nagpur Plateau.
    https://doi.org/10.1016/j.indic.2025.100836
  3. Environmental Science: Atmospheres. (2025). Assessing the impact of forest fires on air quality in Northeast India.
    https://doi.org/10.1039/D4EA00107A
  4. EGUsphere. (2024). Observed improvement in air quality in Delhi during 2011–2021: Impact of mitigation measures.
    https://doi.org/10.5194/egusphere-2024-803
  5. Elsevier. (n.d.). Scopus author details: Latha Radhadevi, Author ID 55880952000. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=55880952000
  6. ORCID. (n.d.). Latha Radhadevi ORCID profile.
    https://orcid.org/0000-0002-1822-565X

Marzieh Mokarram | Environmental Science | Women Researcher Award

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Women Researcher Award

Marzieh Mokarram
Shiraz University, Iran
Marzieh Mokarram
Affiliation Shiraz University
Country Iran
Scopus ID 49964190700
Documents 142
Citations 2,389
h-index 25
Subject Area Environmental Science
Event International Forensic Scientist Awards
ORCID 0000-0002-3514-1263

The Women Researcher Award recognizes the academic and scientific contributions of Marzieh Mokarram of Shiraz University, Iran, whose research activities are centered on environmental science, land-surface processes, remote sensing, machine learning, soil erosion assessment, desert dynamics, and environmental monitoring. Her scholarly record reflects sustained engagement with interdisciplinary approaches that combine geospatial information, satellite observations, environmental modelling, and data-driven analytical methods.[1]

Abstract

Marzieh Mokarram is an environmental science researcher affiliated with Shiraz University. Her research profile demonstrates contributions to environmental assessment through remote sensing, geographical information systems, machine learning, land degradation analysis, soil erosion prediction, aerosol studies, and water-quality monitoring. Her recent publications address contemporary environmental challenges through quantitative and interdisciplinary methodologies.[2]

Keywords

Environmental Science; Remote Sensing; Soil Erosion; Machine Learning; Desert Dynamics; Water Quality; Geospatial Analysis.

Introduction

Environmental research increasingly relies on integrated observational and computational methods to understand land degradation, climate interactions, water systems, and ecosystem change. Mokarram’s research interests align with this multidisciplinary direction by applying geospatial datasets and advanced modelling techniques to environmental problems. Her work contributes to the development of analytical frameworks for interpreting complex relationships between environmental variables across regional and global scales.[3]

Research Profile

With 142 indexed documents, 2,389 citations, and an h-index of 25 according to the supplied Scopus research indicators, Mokarram maintains an established publication profile within environmental science. Her work spans land-surface monitoring, environmental mapping, erosion susceptibility, machine learning applications, and satellite-based environmental assessment.[1]

Research Contributions

  • Application of machine learning methods for soil erosion risk mapping and environmental prediction.
  • Investigation of desert variations and effective water availability at global scales.
  • Analysis of mineral aerosols and industrial influences on lake water quality using spectral indices.
  • Integration of multi-sensor remote sensing and deep neural networks for environmental assessment.

Publications

Recent scholarly outputs include research on the Desert Model Intercomparison Project benchmark framework, machine learning approaches to soil erosion risk mapping, global desert variations associated with water availability, mineral aerosol effects on lake water quality, and automatic prediction of soil erosion in arid regions. These studies illustrate continued engagement with environmental monitoring and computational analysis.[2][4]

Research Impact

The citation record and h-index indicate measurable scholarly visibility across environmental science publications. The research portfolio contributes to evidence-based understanding of land and water systems while demonstrating the value of machine learning and remote sensing for environmental decision support.[1]

Award Suitability

The Women Researcher Award is suitable for recognizing Mokarram’s sustained research activity, publication record, interdisciplinary methodology, and contributions to environmental science. Her work demonstrates continued engagement with contemporary scientific challenges involving land degradation, water resources, atmospheric processes, and geospatial technologies.

Conclusion

Marzieh Mokarram’s academic profile represents a sustained contribution to environmental research through geospatial analysis, remote sensing, and computational modelling. Her publication activities and research indicators provide a basis for academic recognition under the Women Researcher Award category at the International Forensic Scientist Awards.

References

  1. Elsevier. (n.d.). Scopus author details: Marzieh Mokarram, Author ID 49964190700. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=49964190700
  2. Mokarram, M. et al. (2026). Machine Learning Approaches to Soil Erosion Risk Mapping: A Comparison between Logistic Regression and Fast Large Margin. Journal of the Civil Engineering Forum.
    https://doi.org/10.22146/jcef.24796
  3. Mokarram, M. et al. (2026). Global Desert Variations During 1985–2024 Associated With Effective Water Availability. Geophysical Research Letters.
    https://doi.org/10.1029/2025GL120826
  4. Mokarram, M. et al. (2026). Global analysis of mineral aerosol and industrial effects on lake water quality using spectral indices and machine learning. Water Research.
    https://doi.org/10.1016/j.watres.2025.125055
  5. Mokarram, M. et al. (2026). Automatic prediction of soil erosion in arid regions using multi-sensor remote sensing integrated with object-based image analysis and deep neural networks. Environmental Earth Sciences.
    https://doi.org/10.1007/S12665-026-12973-7
  6. European Geosciences Union. (2026). Desert Model Intercomparison Project benchmark framework version 1.0 for assessing land-surface dynamics and surface memory in monthly dust aerosol optical depth over North Africa. Egusphere Preprint.
    https://doi.org/10.5194/egusphere-2026-2271

Xuelin Zhang | Environmental Science | Best Researcher Award

Published on by Forensic Scientist Awards

Best Researcher Award

Xuelin Zhang
Affiliation Xinyang Normal University
Country China
Scopus ID 57218279613
Documents 14
Citations 122
h-index 7
Subject Area Environmental Science
Event International Forensic Scientist Awards
Google Scholar ID Sbek1NUAAAAJ

Xuelin Zhang

Xinyang Normal University, China

Xuelin Zhang is a researcher affiliated with Xinyang Normal University whose scholarly work focuses on environmental science, intelligent control systems, marine automation, fault diagnosis, adaptive control, and autonomous surface vehicles. The research profile demonstrates contributions to observer-based fault-tolerant control strategies, fuzzy adaptive control, intelligent navigation, and marine propulsion systems. These studies have been disseminated through peer-reviewed international journals and have attracted citations within the engineering and environmental research communities.[1][2]

Abstract

The academic portfolio of Xuelin Zhang reflects sustained research activity in intelligent marine systems, fault-tolerant control, fuzzy adaptive algorithms, observer-based estimation, and autonomous navigation. Published studies primarily investigate robust control approaches for ship steering systems and unmanned surface vehicles under actuator and sensor faults. The combination of theoretical modelling, adaptive control techniques, and engineering validation contributes to the advancement of reliable autonomous maritime technologies while supporting broader developments in intelligent transportation and environmental engineering.[2][3]

Keywords

  • Environmental Science
  • Fault-Tolerant Control
  • Observer-Based Control
  • Fuzzy Systems
  • Autonomous Surface Vehicles

Introduction

Modern autonomous marine systems require reliable control algorithms capable of maintaining operational stability despite uncertain environmental conditions and component failures. Xuelin Zhang’s research addresses these engineering challenges through the integration of fuzzy logic, adaptive observers, intelligent estimation techniques, and fault diagnosis methodologies. The published work contributes to safer navigation, improved propulsion performance, and enhanced resilience of autonomous marine platforms.[3]

Research Profile

According to the available Scopus author profile, Xuelin Zhang has authored 14 indexed publications with 122 citations and an h-index of 7. Research activities emphasize intelligent marine control, adaptive fault diagnosis, observer-based estimation, fuzzy control systems, and autonomous ship navigation. The publication record demonstrates collaborations with international researchers in advanced transportation technologies and intelligent engineering systems.[1]

Research Contributions

  • Developed observer-based H∞ fuzzy fault-tolerant switching control methods for ship course tracking.
  • Advanced adaptive fault-tolerant control algorithms for unmanned surface vehicles affected by steering and actuator faults.
  • Contributed to fuzzy active fault estimation techniques for marine steering autopilot systems.
  • Investigated line-of-sight guidance algorithms with side-slip compensation for autonomous vessels.
  • Applied intelligent evidential reasoning techniques to adaptive PID control of marine electric propulsion systems.

Publications

  1. Observer-based H∞ fuzzy fault-tolerant switching control for ship course tracking with steering machine fault detection.
  2. Observer-based fuzzy adaptive fault-tolerant control for NSC system of USV with sideslip angle and steering machine fault.
  3. Fault Estimation and H∞ Fuzzy Active Fault-Tolerant Control Design for Ship Steering Autopilot Subject to Actuator and Sensor Faults.
  4. LOS guidance for fuzzy adaptive fault-tolerant path following control of USV with side-slip compensation and actuator fault.
  5. Intelligent adaptive PID control for the shaft speed of a marine electric propulsion system based on the evidential reasoning rule.

Research Impact

The publication metrics indicate growing scholarly recognition within marine engineering, intelligent transportation, and environmental engineering research. Citation activity reflects the relevance of observer-based control, adaptive fuzzy systems, and autonomous navigation technologies to ongoing developments in intelligent maritime systems. The research contributes practical methodologies for improving safety, robustness, and operational reliability of autonomous vessels operating under uncertain conditions.[4]

Award Suitability

Based on the documented publication record, citation performance, and peer-reviewed research contributions, Xuelin Zhang demonstrates qualifications consistent with consideration for the Best Researcher Award presented at the International Forensic Scientist Awards. The candidate’s work exhibits originality in intelligent control methodologies, interdisciplinary collaboration, publication in internationally recognized journals, and measurable scientific impact. The assessment presented here is based on publicly available scholarly indicators and publication records rather than an independent evaluation of comparative award rankings.[5]

Conclusion

Xuelin Zhang has established an active research profile centered on intelligent marine control systems, fault diagnosis, adaptive algorithms, and autonomous navigation technologies. Through publications in reputable international journals and measurable citation performance, the researcher has contributed to the advancement of robust autonomous vessel technologies and intelligent engineering applications. These accomplishments provide a strong academic foundation supporting recognition through research excellence awards.[6]

References

Krishna Pada Das | Mathematical Modeling in Ecology | Best Researcher Award

Published on by Forensic Scientist Awards

Assoc. Prof. Dr. Krishna Pada Das | Mathematical Modeling in Ecology | Best Researcher Award

Mahadevananda Mahavidyalaya | India

Dr. Krishna Pada Das, Associate Professor in the Department of Mathematics at Mahadevananda Mahavidyalaya, Barrackpore, India, is a highly accomplished researcher in the field of mathematical biology and dynamical systems. He holds a B.Sc. and M.Sc. in Mathematics from the University of Calcutta and a Ph.D. in Applied Mathematics from Jadavpur University under the guidance of Prof. Joydev Chattopadhyay of the Indian Statistical Institute, Kolkata. His research focuses on predator-prey interactions, plankton dynamics, eco-epidemiological models, and HIV progression, using advanced mathematical tools such as fractional calculus, spatio-temporal dynamics, diffusion processes, delay differential equations, and stochastic analysis. Beginning his career as a Research Fellow at the Indian Statistical Institute, he has since dedicated over a decade to teaching, mentoring, and research leadership at Mahadevananda Mahavidyalaya. His outstanding contributions are evident from his 76 publications, 401 citations across 327 documents, and h-index of 13, as indexed in Scopus. Dr. Krishna Pada Das has published extensively in reputed international journals, including Ecological Modelling, Bio Systems, Differential Equations and Dynamical Systems, and International Journal of Biomathematics, with his works being widely cited and appreciated by the global research community. He has been honored with the ISI Research Award (2006) and qualified the SLET (WBCSC) in 2006, underscoring his academic and research excellence. His innovative approaches to understanding nonlinear dynamics, stability, bifurcation, chaos, and control in biological systems have provided valuable insights for both theoretical and applied research, establishing him as a distinguished scholar and a strong candidate for the Best Researcher Award.

Profile: Scopus | Google Scholar | ORCID

Featured Publications

Das, K., & Mukherjee, A. K. (2007). Differential utilization of pyrene as the sole source of carbon by Bacillus subtilis and Pseudomonas aeruginosa strains: Role of biosurfactants in enhancing bioavailability. Journal of Applied Microbiology, 102(1), 195–203.

Kooi, B. W., van Voorn, G. A. K., & Das, K. P. (2011). Stabilization and complex dynamics in a predator–prey model with predator suffering from an infectious disease. Ecological Complexity, 8(1), 113–122.

Das, C. R., Mondal, N. K., Aditya, P., Datta, J. K., Banerjee, A., & Das, K. (2012). Allelopathic potentialities of leachates of leaf litter of some selected tree species on gram seeds under laboratory conditions. Asian Journal of Experimental Biological Sciences, 3(1), 59–65.

Das, K. P., Kundu, K., & Chattopadhyay, J. (2011). A predator–prey mathematical model with both the populations affected by diseases. Ecological Complexity, 8(1), 68–80.

Ghose, T. K., & Das, K. (2006). A simplified kinetic approach to cellulose–cellulase system. In Advances in Biochemical Engineering (Vol. 1, pp. 55–76). Springer.

Das, A., Ghosh, S., Das, K., Basu, T., Das, M., & Dutta, I. (2020). Modeling the effect of area deprivation on COVID-19 incidences: A study of Chennai megacity, India. Public Health, 185, 266–269.

Nath, B., Kumari, N., Kumar, V., & Das, K. P. (2022). Refugia and Allee effect in prey species stabilize chaos in a tri-trophic food chain model. Differential Equations and Dynamical Systems, 30(3), 631–657.

Das, K. (2011). A mathematical study of a predator–prey dynamics with disease in predator. International Scholarly Research Notices, 2011(1), Article 807486.