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.

 

Silvina Fadda | Environment | Best Researcher Award

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Dr. Silvina Fadda | Environment | Best Researcher Award

Dr. Silvina Fadda | Environment | Senior Researcher at CERELA | Argentina

Dr. Silvina Fadda is a highly accomplished female scientist specializing in food microbiology and biochemistry, currently serving as a Research Scientist at CERELA under the National Scientific and Technical Research Council (CONICET) in Argentina. Dr. Silvina Fadda earned her Doctorate in Biochemistry from the Universidad Nacional de Tucumán, where she developed extensive expertise in microbial physiology, fermentation systems, and the characterization of lactic acid bacteria relevant to food safety and preservation. Throughout her professional career, she has focused on studying beneficial and bioprotective microorganisms, particularly lactic acid bacteria and their metabolic, proteomic, and adaptive responses under food processing conditions. Her research interests include microbial ecology in meat processing environments, the antagonistic activity of probiotic strains against foodborne pathogens, and molecular techniques for assessing microbial adaptation and stress tolerance. Dr. Silvina Fadda possesses strong research skills in proteomics, molecular microbiology, bacterial strain characterization, fermentation technology, and the development of microbial-based food safety strategies. She has collaborated on internationally coordinated research projects aimed at improving safe food production practices and developing sustainable microbial biopreservation methods. Her scholarly contributions are reflected in her publications in high-impact, Scopus-indexed journals and her continued role as a reviewer for reputable journals in food chemistry, food microbiology, and biofilm research. Dr. Silvina Fadda has received recognition for her scientific contributions through her longstanding research appointment at CONICET, along with participation in scientific committees and professional networks that advance food microbiology research. Her work demonstrates leadership in laboratory-based research, interdisciplinary collaboration, and mentoring early career researchers. In conclusion, Dr. Silvina Fadda exemplifies professional excellence, scientific rigor, and an ongoing commitment to improving global food safety through microbiological innovation, making her a commendable academic and a strong contributor to both scientific research and community knowledge.

Academic Profile: ORCID | Scopus

Featured Publications:

  1. Cisneros, L., Baillo, A. A., Ploper, D., Valacco, M. P., Moreno, S., Yantorno, O., Fusco, V., & Fadda, S. (2025). Foodborne lactic acid bacteria inactivate planktonic and sessile Escherichia coli O157:H7 in a meat processing environment: A physiological and proteomic study. Foods. Citations: 5

  2. Terán, L. C., Orihuel, A., Bentencourt, E., Raya, R., & Fadda, S. (2023). Role of curing agents in the adaptive response of the bioprotective Latilactobacillus curvatus CRL 705 from a physiologic and proteomic perspective. Bacteria. Citations: 12

  3. Sandoval-Mosqueda, I. L., Llorente-Bousquets, A., Soto, C., Mercado Márquez, C., Fadda, S., & Del Río García, J. C. (2023). Ligilactobacillus murinus strains isolated from mice intestinal tract: Molecular characterization and antagonistic activity against food-borne pathogens. Microorganisms. Citations: 18

  4. Terán, L. C., Orihuel, A., Bentencourt, E., Raya, R., & Fadda, S. (2023). Role of curing agents in the adaptive response of the bioprotective Latilactobacillus Curvatus CRL 705 from a physiologic and proteomic perspective (Preprint). Citations: 3

 

 

Xun Gong | Energy Saving | AI Breakthrough Award

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Assoc. Prof. Dr. Xun Gong | Energy Saving | AI Breakthrough Award

Assoc. Prof. Dr. Xun Gong | Energy Saving | Professor at Jilin University | China

Assoc. Prof. Dr. Xun Gong is a recognized scholar in the field of automotive systems, intelligent transportation, and advanced control engineering. His work integrates innovative control strategies with emerging automotive technologies to enhance efficiency, safety, and sustainability. With strong contributions in connected vehicle control, driver modeling, and energy optimization for hybrid and electric vehicles, he has become a respected academic and collaborator in international research circles. His publications and research outcomes have been widely cited, reflecting his influence across both academic and industrial domains.

Academic Profile:

Scopus

Google Scholar

Education:

Assoc. Prof. Dr. Xun Gong completed his doctoral studies in control engineering, establishing a strong academic foundation that led to his current research expertise. His advanced education has equipped him with the knowledge and analytical skills to address pressing challenges in automotive and control systems. His academic training was reinforced through collaborations with top universities and research centers, enabling him to contribute to multi-institutional projects at the forefront of engineering research.

Experience:

With significant teaching and research experience at Jilin University, Assoc. Prof. Dr. Xun Gong has guided students, researchers, and collaborators in innovative engineering practices. His academic career has been marked by active involvement in cross-disciplinary projects, where he has worked closely with international partners from leading universities and research organizations. Beyond teaching, he has participated in industry-focused initiatives, ensuring the translation of academic research into real-world applications. His professional journey demonstrates a balance of academic rigor, industrial collaboration, and mentorship in the field of engineering.

Research Interest:

The research interests of Assoc. Prof. Dr. Xun Gong encompass intelligent transportation systems, predictive modeling, and advanced automotive control. His work focuses on vehicle stability, energy management, and eco-trajectory planning to enhance the performance of hybrid and electric vehicles. He is also deeply engaged in connected vehicle technologies, emphasizing driver modeling and integrated optimization strategies that improve safety and sustainability. Through these efforts, he contributes to shaping the future of mobility in the intelligent era, bridging theoretical research with practical applications.

Award:

Assoc. Prof. Dr. Xun Gong has been recognized for his contributions to engineering research through academic awards and professional honors. His leadership in automotive control and predictive modeling has earned acknowledgment within the scholarly community. He continues to demonstrate excellence through high-impact publications, international collaborations, and his service to professional organizations such as IEEE, where he actively contributes to advancing global engineering knowledge.

Selected Publication:

  • Fast nonlinear model predictive control on FPGA using particle swarm optimization, published in 2015, has received 175 citations and is widely referenced in the control engineering community.

  • Cabin and battery thermal management of connected and automated HEVs for improved energy efficiency using hierarchical model predictive control, published in 2019, has been cited 166 times and represents a major advance in sustainable vehicle technology.

  • Vehicle velocity prediction and energy management strategy part 1: Deterministic and stochastic vehicle velocity prediction using machine learning, published in 2019, has gathered 125 citations and reflects his expertise in integrating machine learning with automotive systems.

  • Integrated longitudinal and lateral vehicle stability control for extreme conditions with safety dynamic requirements analysis, published in 2022, has gained 77 citations and highlights his work on vehicle safety and control.

Conclusion:

In summary, Assoc. Prof. Dr. Xun Gong is an accomplished researcher whose career exemplifies academic excellence, international collaboration, and meaningful contributions to automotive and control systems. His innovative research has advanced the fields of intelligent transportation, predictive control, and sustainable energy management, bridging the gap between theoretical knowledge and industrial application. His strong publication record, professional recognition, and leadership in collaborative projects underscore his suitability for this award. With continued commitment to advancing research and mentoring the next generation of engineers, he is positioned to make further impactful contributions to science, industry, and society.

 

 

Assist. Prof. Dr. Bin Yang | Electric Engineering | Best Researcher Award

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Assist. Prof. Dr. Bin Yang | Electric Engineering | Best Researcher Award

Assist. Prof. Dr. Bin Yang | Electric Engineering – Hebei University of Technology, China

Dr. Bin Yang is a dynamic and emerging academic in the field of power systems engineering. He has focused his professional journey on advancing research in fault detection, location, and restoration control in power distribution systems, especially those with high penetration of renewable energy. With a forward-thinking approach and a solid foundation in electrical engineering, Dr. Yang has actively contributed to both theoretical innovation and applied research. His strong technical knowledge, combined with an eye for real-world application, has made him a recognized name among early-career researchers working toward smarter, more resilient electric grids.

Profile:

Orcid

Education:

Dr. Yang completed his Ph.D. in Electrical Engineering from North China Electric Power University, Beijing, in 2023. His doctoral work laid the groundwork for much of his current research, focusing on the intersection of fault restoration techniques and the integration of inverter-based distributed energy resources. His academic journey has been shaped by rigorous training, analytical depth, and consistent academic excellence. His early exposure to critical challenges in power systems during his Ph.D. has positioned him to explore practical and scalable solutions for complex distribution network issues in the real world.

Experience:

Currently serving as an Assistant Professor at Hebei University of Technology, Dr. Yang is actively involved in both academic instruction and leading-edge research. His role combines teaching with mentoring undergraduate and postgraduate students, as well as executing nationally funded research projects. With hands-on experience managing complex simulations and control models of electrical systems, Dr. Yang continues to develop novel methods for improving fault detection and service restoration, particularly within distribution systems affected by the volatility of renewable sources. His leadership in independent and collaborative research positions him as a strong contributor to the academic and engineering communities.

Research Interest:

Dr. Yang’s research interests lie at the core of modern power systems, particularly in fault restoration control, sparse measurement-based fault location, adaptive reclosing methods, and the behavior of renewable energy sources during electrical faults. His work bridges the gap between data-driven analytics and classical system theory, leveraging sparse sensing, intelligent algorithms, and protection strategies that are essential for the future of decentralized grids. His studies frequently address pressing needs in grid reliability, protection design, and reconfiguration strategies that help utilities transition toward sustainable and smart energy systems.

Awards:

Though at an early stage of his academic career, Dr. Yang has already secured prestigious funding and recognition. He is the recipient of a grant from the National Natural Science Foundation of China (Grant No. 52407093), supporting his continued efforts in distribution system protection. He is also conducting research under the State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (Grant No. LAPS24019). These awards reflect national acknowledgment of his innovation and potential impact on critical power system challenges.

Publications:

Dr. Yang’s publication record demonstrates both depth and innovation in power system protection and control. His notable works include:

  • ⚡ Faulted Line-Section Identification in Distribution System with Inverter-Interfaced DGs Using Sparse Meters, IEEE Transactions on Smart Grid, 2023 — cited by 22+ articles for its contribution to sparse data modeling.
  • 🧠 Sparse Voltage Measurement-Based Fault Location Using Intelligent Electronic Devices, IEEE Transactions on Smart Grid, 2020 — cited over 150 times; a foundational work in fault location algorithms.
  • 🔌 An Improved Sparse-Measurement Based Fault Location Technology for Distribution Networks, IEEE Transactions on Industrial Informatics, 2021 — referenced in renewable grid protection studies.
  • 🌱 Review on Renewable Energy Source Fault Characteristics Analysis, CSEE Journal of Power and Energy Systems, 2022 — highlighted for its survey-style insight on RES behaviors.
  • 💡 Transient Fault Current Analysis of IIRESs Considering Controller Saturation, IEEE Transactions on Smart Grid, 2022 — important for understanding inverter behavior during transients.
  • 🔍 Alternating Current Distribution Network with a Sparse Voltage Measurement-based Fault Location Determination System, US Patent, 2021 — supporting hardware-side implementation of theory.
  • 🔧 Adaptive Reclosing Method and Apparatus for Distribution Network, US Patent, 2024 — a recent innovation under practical deployment consideration.

Conclusion:

In conclusion, Dr. Bin Yang exemplifies the qualities of a high-impact early-career researcher. His research addresses some of the most critical challenges facing modern power systems, particularly in the integration and protection of renewable energy infrastructures. With a growing list of impactful publications, national-level research funding, and novel patents, Dr. Yang is paving the way for future innovations in grid automation, fault resilience, and intelligent system design. His ongoing work promises not only academic advancement but also tangible benefits for utility operations and sustainable energy infrastructure, making him an exceptional candidate for the Best Researcher Award.