John Msinde | Climate Change | Editorial Board Member

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Dr. John Msinde | Climate Change | Editorial Board Member

Dr. John Msinde | Climate Change | Lecturer at University of Dar es Salaam | Tanzania

Dr. John Msinde is a dedicated scholar in the domains of poverty studies, migration, rural livelihoods, and sustainable agricultural development, widely recognized for his evidence-based contributions to socioeconomic transformation in Tanzania and beyond. Dr. John Msinde completed his advanced academic training culminating in a Ph.D. in areas related to rural development and livelihood economics, where he developed rigorous quantitative and qualitative competencies that now guide his scholarly work and community engagement. His professional experience includes serving as a Lecturer at the University of Dar es Salaam, where he has taught, supervised, and mentored students in development economics, agricultural systems, and rural policy analysis while actively contributing to departmental research initiatives and institutional outreach programs. Dr. John Msinde’s research interests span climate variability impacts, agricultural technology adoption, off-farm employment dynamics, sustainable agricultural practices, livelihood resilience, and poverty reduction mechanisms in smallholder farming communities, particularly within agro-ecological regions of Tanzania. His research skills include socioeconomic data analysis, econometric modelling, survey design, impact assessment, and interdisciplinary collaboration, enabling him to produce high-quality publications indexed in reputable platforms such as Scientific Reports, Physics and Chemistry of the Earth, and several development-oriented international journals. Dr. John Msinde has earned recognition for his contributions through participation in international research projects, collaborative field studies, and scholarly engagements that highlight his commitment to advancing inclusive development. His awards and honors reflect his growing academic visibility and his role in generating policy-relevant insights that inform sustainable agricultural strategies and poverty-reduction programs. With a citation record of 45 citations and an h-index of 3, he continues to strengthen his scholarly presence while contributing to impactful research on livelihood systems, social capital, climatic suitability, and labor dynamics in rural communities. Dr. John Msinde’s work demonstrates a strong alignment between theoretical knowledge and real-world applications, positioning him as a researcher dedicated to improving the socioeconomic conditions of vulnerable populations. Looking forward, he aims to expand his international collaborations, advance publications in higher-impact global journals, and further integrate innovative analytical techniques into his research. Overall, Dr. John Msinde’s contributions reflect academic rigor, practical relevance, and a sustained commitment to improving agricultural and livelihood systems across developing regions, making him a valuable contributor to global development discourse.

Academic Profile: Google Scholar

Featured Publications:

  1. Beteri, J., Lyimo, J. G., & Msinde, J. V. (2024). The influence of climatic and environmental variables on sunflower planting season suitability in Tanzania. Scientific Reports. Citations: 15.

  2. Haji, A. K., Salehe, S. S., & Msinde, J. (2018). Adoption of rainfed paddy production technologies among smallholder farmers: A case of Central District-Zanzibar, Tanzania. SCIENCEDOMAIN International. Citations: 6.

  3. Msinde, J., Urassa, J. K., & Nathan, I. (2016). Off-farm employment and income poverty in favourable agro-climatic areas of Tanzania: Evidence from Kilombero Valley. International Institute for Science, Technology and Education (IISTE). Citations: 5.

  4. Mugula, J. J., Ahmad, A. K., Msinde, J., & Kadigi, M. (2023). Impacts of sustainable agricultural practices on food security, nutrition, and poverty among smallholder maize farmers in Morogoro region, Tanzania. African Journal of Empirical Research. Citations: 3.

  5. Beteri, J., Msinde, J. V., & Lyimo, J. G. (2025). Spatiotemporal change of climatic suitability in sunflower-growing areas of Tanzania. Physics and Chemistry of the Earth. Citations: 2.

 

Ali Haji Elyasi | Earth Sciences | Best Researcher Award

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Mr. Ali Haji Elyasi | Earth Sciences | Best Researcher Award

Mr. Ali Haji Elyasi | Earth Sciences | PhD at University of Tehran | Iran

Mr. Ali Haji Elyasi is a researcher in Civil and Water Resources Engineering with a strong academic foundation and applied research orientation in hydrological systems, groundwater sustainability, and hydraulics. He is pursuing his Ph.D. in Civil Engineering (Water and Hydraulic Structures) at the University of Tehran, where he has developed expertise in advanced hydro-environmental modeling, geospatial intelligence, machine learning applications, and remote sensing-driven environmental monitoring. His education combines rigorous theoretical training with hands-on field research, enabling him to address complex challenges related to groundwater quality, flood risk assessment, watershed hydrology, and wetland ecosystem dynamics. Professionally, Mr. Ali Haji Elyasi has contributed to several interdisciplinary research projects in collaboration with leading institutions and research groups, focusing on groundwater potential analysis, land-use change detection, aquifer vulnerability assessment, and integrated water resource management strategies. His research interests include sustainable hydrology, resilience-based water infrastructure planning, satellite-based environmental observation, climate impact assessments, and data-driven decision support systems in semi-arid and ecologically sensitive regions. He is skilled in GIS, Remote Sensing, machine learning modeling, hydrological simulation, spatial data analysis, and environmental data interpretation, and he consistently integrates computational methods to enhance predictive accuracy and resource planning outcomes. Mr. Ali Haji Elyasi has published multiple peer-reviewed articles indexed in Scopus and reputable engineering journals, and his scientific contributions have been recognized through increasing citations and scholarly collaborations across universities and research institutions. He has also engaged in academic community development through teamwork, joint authorships, mentoring, and research dissemination activities. Awards and recognitions relate to his contributions in water resource research, collaborative scientific output, and commitment to advancing environmental sustainability. Overall, Mr. Ali Haji Elyasi demonstrates a strong commitment to scientific integrity, research innovation, and practical solutions for sustainable water system management, positioning him as a promising researcher capable of contributing meaningfully to academic scholarship, environmental policy, infrastructure planning, and future scientific leadership.

Academic Profile: ORCID | Google Scholar

Featured Publications:

Eftekhari, M., Mobin, E., Akbari, M., & Elyasi, A. H. (2021). Application assessment of GRACE and CHIRPS data in the Google Earth Engine to investigate their relation with groundwater resource changes (Northwestern region of Iran). Journal of Groundwater Science and Engineering, 9(2), 102–113. Cited 18 times

Eftekhari, M., Eslaminezhad, S. A., Akbari, M., DadrasAjirlou, Y., & Elyasi, A. H. (2021). Assessment of the potential of groundwater quality indicators by geostatistical methods in semi-arid regions. Journal of Chinese Soil and Water Conservation, 52(3), 158–167. Cited 7 times

Eslaminezhad, S. A., Eftekhari, M., Mahmoodizadeh, S., Akbari, M., & Elyasi, A. H. (2021). Evaluation of tree-based artificial intelligence models to predict flood risk using GIS. Iran-Water Resources Research, 17(2), 174–189. Cited 7 times

Eftekhari, M., Eslaminezhad, S. A., Elyasi, A. H., & Akbari, M. (2021). Geostatistical evaluation with Drinking Groundwater Quality Index (DGWQI) in Birjand Plain aquifer. Environment and Water Engineering, 7(2), 267–278. Cited 7 times

Eslaminezhad, S. A., Eftekhari, M., Akbari, M., Elyasi, A. H., & Farhadian, H. (2022). Predicting flood-prone areas using advanced machine learning models (Birjand Plain). Water and Irrigation Management, 11(4), 885–904. Cited 3 times

 

Galina Malykhina | Sensors | Best Researcher Award

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Prof. Dr. Galina Malykhina | Sensors | Best Researcher Award

Prof. Dr. Galina Malykhina | Sensors | professor at Peter the Great St.Petersburg Polytechnic University | Russia

Prof. Dr. Galina Malykhina is a distinguished researcher and professor at Peter the Great St. Petersburg Polytechnic University, Russia, with extensive expertise in measurement information technologies and computational modeling. She completed her Ph.D. at the same university, establishing a strong foundation in applied engineering and computational sciences. Over the years, Prof. Dr. Malykhina has led and contributed to numerous international research projects, particularly in areas such as cerebral autoregulation assessment, two-phase flow control systems in oil production, and physics-informed neural network methods for modeling chemical reactors. Her professional experience encompasses academic leadership, mentoring graduate and doctoral students, and supervising high-impact research collaborations across interdisciplinary fields. Prof. Dr. Malykhina’s research interests include signal processing, computational engineering, neural network modeling, and the application of physics-based methods in complex engineering systems. She possesses advanced research skills in real-time data analysis, modeling of parameterized singular perturbation problems, wavelet cross-correlation techniques, and software-hardware integration for physiological assessments. Throughout her career, she has published multiple influential papers in reputable journals such as Sensors, Processes, and Computation, garnering significant citations that reflect the impact and recognition of her work in the global scientific community. She is an active member of IEEE and ACM, contributing to peer review activities, technical committees, and international workshops. Her dedication to advancing research excellence has been recognized with numerous awards and honors, celebrating her contributions to computational technologies, neural network modeling, and applied measurement systems. Prof. Dr. Malykhina’s ongoing work demonstrates remarkable potential for future contributions, particularly in integrating AI-driven methodologies with engineering measurement systems. Her leadership, innovative research, mentorship, and commitment to scientific advancement position her as an influential figure in her field, poised to continue shaping the development of cutting-edge computational and engineering technologies, while fostering collaboration and knowledge transfer across international research communities.

Academic Profile: ORCID | Scopus

Featured Publications:

  1. Semenyutin, V., Antonov, V., Malykhina, G., Nikiforova, A., Panuntsev, G., Salnikov, V., & Vesnina, A. (2025). Software and hardware complex for assessment of cerebral autoregulation in real time. Sensors. Citation: 12

  2. Arseniev, D., Malykhina, G., & Kratirov, D. (2024). Wavelet cross-correlation signal processing for two-phase flow control system in oil well production. Processes. Citation: 18

  3. Tarkhov, D., Lazovskaya, T., & Malykhina, G. (2023). Constructing physics-informed neural networks with architecture based on analytical modification of numerical methods by solving the problem of modelling processes in a chemical reactor. Sensors. Citation: 22

  4. Lazovskaya, T., Malykhina, G., & Tarkhov, D. (2021). Physics-based neural network methods for solving parameterized singular perturbation problem. Computation. Citation: 30