Abayneh Fantaye | Mathematics | Editorial Board Member

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Mr. Abayneh Fantaye | Mathematics | Editorial Board Member

Debre Tabor University | Ethiopia

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Early Academic Pursuits

Abayneh Kebede Fantaye embarked on his academic journey at Anole Elementary School, where he excelled in Mathematics, Ethical Education, Physics, Biology, Chemistry, History, and Geography. His passion for learning led him to Gado Guna Secondary School, earning the Ethiopian General Secondary Education Certificate. Furthering his academic prowess, he completed the Ethiopian Higher Education Entrance Qualification Certificate at Asella Preparatory School.

Professional Endeavors

Abayneh's pursuit of knowledge continued at Debre Tabor University, where he earned a Bachelor's degree in Mathematics. His comprehensive coursework included areas such as Algebra, Calculus, Statistics, Linear Optimization, Differential Equations, and more. Undeterred by challenges, he pursued a Master's degree at Hawassa University in Mathematical and Statistical Modeling, delving into advanced topics like Numerical Mathematics, Differential Equations, Bayesian Data Inference, and Statistical Methods.

Contributions and Research Focus

As a dedicated lecturer at Debre Tabor University, Abayneh contributes significantly to the academic landscape. His research focus spans Numerical Optimization, Differential Equations, Dynamical Systems, and Mathematical Modeling. He brings a wealth of knowledge to his students, fostering a deep understanding of mathematical concepts and their real-world applications.

Accolades and Recognition

Abayneh's commitment to academic excellence has earned him accolades, including the Primary School Leaving Certificate and the Ethiopian General Secondary Education Certificate. His pursuit of a Master's degree further underscores his dedication to advancing his expertise in Mathematics and Statistical Modeling.

Impact and Influence

Through his role as a lecturer, Abayneh influences the next generation of mathematicians. His commitment to providing a holistic education that combines theoretical knowledge with practical applications leaves a lasting impact on his students.

Legacy and Future Contributions

Abayneh Kebede Fantaye's legacy is one of academic rigor, continuous learning, and a passion for mathematics. His future contributions are poised to extend beyond the classroom, enriching mathematical research and fostering an environment where students thrive in the world of numbers.

Notable Publications

Mathematical Model and Analysis of Corruption Dynamics with Optimal Control 2022 (13)

ECO-EPIDEMIOLOGICAL MODEL AND STABILITY ANALYSIS OF COTTON LEAF CURL VIRUS (CLCUV) TRANSMISSION DYNAMICS 2022 (2)

Mathematical Model and Stability Analysis on the Transmission Dynamics of Skin Sores 2022 (1)

 

 

Olumayowa Iyanda | Agricultural and Biological Sciences | Editorial Board Member

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Dr. Olumayowa Iyanda | Agricultural and Biological Sciences | Editorial Board Member

Afe Babalola University, Ado-Ekiti | Nigeria

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Early Academic Pursuits

Olumayowa Iyanda embarked on a journey of academic excellence in the field of agriculture, starting with a Bachelor of Agriculture in Plant Physiology and Crop Production from the Federal University of Agriculture, Abeokuta, Nigeria, in 2011. This laid the foundation for his keen interest in understanding the intricacies of plant physiology and crop productivity.

Professional Endeavors

His professional journey began as a Research Assistant at Rutesta Technologies in Lagos from 2014 to 2018. During this period, he actively contributed to weed management research by collecting, collating, and analyzing data. Simultaneously, he served as a Teaching Assistant (Demonstrator) at the Federal University of Agriculture, Abeokuta, where he imparted practical knowledge in various agricultural courses.

Contributions and Research Focus

Olumayowa's research focuses on Crop Physiology, particularly the influence of integrated nutrient sources of nitrogen on the productivity of lowland rice varieties in the derived savannah ecology of Nigeria. His publications reflect his commitment to advancing knowledge in the field, addressing topics such as growth and flowering response to water stress in marigold species and the response of lowland rice varieties to integrated nutrient management.

Accolades and Recognition

While pursuing his Ph.D. in Crop Physiology at the Federal University of Agriculture, Abeokuta, Olumayowa Iyanda received recognition for his impactful work. His dedication to exploring inventive approaches to critical agricultural issues garnered attention and accolades within the academic community.

Impact and Influence

Through his contributions to conferences and journals, Olumayowa has made a positive impact on the agricultural community. His work on the effects of combined nitrogen-nutrient sources on lowland rice straw yield, presented at the International Conference on Sustainable Dairy Production, showcases the practical applications of his research findings.

Legacy and Future Contributions

As Olumayowa Iyanda envisions a post-doctorate position, his legacy lies in the knowledge he imparts and the solutions he seeks for real-world problems. His commitment to creating a positive influence on society through innovative approaches to crop physiology positions him as a promising researcher with the potential to contribute significantly to the agricultural landscape.

Notable Publications

Response of lowland rice varieties to integrated nutrient management in a derived Savannah agro- ecology 2023 (1)

Effect of Steeping Duration and Inoculum Concentration on Growth Promotion of Seedlings of Food Crops Primed in Cultures of Bacillus spp from Rhizosphere 2023

INFLUENCE OF INTEGRATED NUTRIENT SOURCES OF NITROGEN ON PHYSIOLOGICAL PARAMETERS OF LOWLAND RICE VARIETIES IN A DERIVED SAVANNAH ECOLOGY OF NIGERIA  2023

 

 

Vikash Saini | Energy | Editorial Board Member

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Mr. Vikash Saini | Energy | Editorial Board Member

MNIT, Jaipur | India

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Early Academic Pursuits

Vikash Saini, hailing from MNIT Jaipur, India, embarked on an academic journey marked by excellence. Graduating in Electrical Engineering and subsequently earning an M.Tech in Power Systems, he exhibited a keen interest in cutting-edge domains.

Professional Endeavors

Vikash's professional trajectory includes roles at esteemed institutions such as IIT Kanpur, Poornima College of Engineering, and significant contributions in seismic data processing at BP. He pursued a Ph.D. at MNIT Jaipur, showcasing a commitment to advancing knowledge.

Contributions and Research Focus

His expertise spans diverse areas like RE forecasting, energy storage, battery degradation models, local energy markets, and blockchain technology. Vikash has led projects focusing on smart distributive systems, EV charging infrastructure, and the impact of electric mobility.

Accolades and Recognition

Vikash's research has earned recognition with publications in renowned journals, including Elsevier. His work on short-term wind speed forecasting and optimal battery sizing demonstrates his innovative contributions to the field.

Impact and Influence

Vikash's influence extends to various domains, evident in his work on peer-to-peer energy trading, multi-agent systems, and cloud energy storage. His projects have addressed critical aspects like energy security, carbon footprint, and optimal power flow in distribution networks.

Legacy and Future Contributions

With a solid foundation in programming (C, Python) and tools like Matlab and GAMS, Vikash has positioned himself as a thought leader. His commitment to renewable energy, blockchain, and smart grids showcases a legacy focused on sustainability and technological innovation.

Notable Publications

Short term forecasting based on hourly wind speed data using deep learning algorithms 2020 (25)

Optimal energy management system for residential buildings considering the time of use price with swarm intelligence algorithms 2022 (26)

Cloud Energy Storage Systems for Consumers and Prosumers in Residential Microgrids 2020 (8)

Cloud Energy Storage Based Embedded Battery Technology Architecture for Residential Users Cost Minimization 2022 (14)

Learning Approach for Energy Consumption Forecasting in Residential Microgrid 2022 (6)