John Rowen Miano | Statistics | Best Researcher Award

Published on by Academic Achievements

Mr. John Rowen Miano | Statistics | Best Researcher Award

Mr. John Rowen Miano | Statistics – Student at Cebu Technological University, Philippines

John Rowen Miano is an aspiring early-career researcher whose work sits at the intersection of computational biology and agricultural science. Based at Cebu Technological University, he is known for applying mathematical and computational tools to explore natural product chemistry, particularly in the field of agrochemical development. His independent research using molecular docking techniques to investigate plant-derived inhibitors has drawn academic interest and showcases his potential as a young innovator in sustainable agriculture. His initiative, curiosity, and analytical mindset distinguish him among his peers, making him a promising candidate for future academic and scientific excellence.

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Education:

John is currently pursuing his studies at Cebu Technological University under the Department of Mathematics and Statistics. His academic focus blends quantitative analysis with biological research, giving him a unique edge in computational studies. Through coursework and project-based learning, he has developed strong foundations in mathematics, statistics, and bioinformatics—skills that are critical for in silico research and predictive modeling. His education emphasizes both theoretical understanding and practical application, which is evident in his recent research outputs.

Experience:

John’s primary experience comes from his involvement as a student researcher at his university. During this time, he has conducted independent and guided research focused on plant-based antimicrobial agents. He has experience in molecular docking, virtual screening, database preparation, and software tools such as AutoDock and PyRx. His work has been presented at conferences and shared on academic platforms like Zenodo. He has collaborated with faculty for project feedback and scientific validation, and he is gradually building a network of fellow researchers within his institution.

Research Interests:

John’s research interests include molecular docking, phytochemistry, plant pathology, and the computational screening of bioactive compounds. He is particularly focused on identifying eco-friendly alternatives to synthetic agrochemicals by analyzing the inhibitory effects of natural phytochemicals against plant pathogens. His current study involves the evaluation of Euphorbia tirucalli compounds against Xanthomonas oryzae, the causative agent of bacterial leaf blight in rice. His broader interests also include artificial intelligence applications in drug discovery, sustainable agriculture, and the use of statistical models to predict pathogen resistance.

Awards:

As an emerging researcher, John has not yet received formal awards; however, he has been recognized at the university level for research presentation and participation. His poster presentation at a recent academic conference has gained early citations, demonstrating the relevance and growing academic attention toward his work. His nomination for the “Best Researcher Award” reflects both his existing achievements and the future potential that he holds as a developing scientific contributor.

Publications 📚:

  1. 🧪 Phytochemicals of Euphorbia tirucalli and their Inhibitory Potential against Xanthomonas oryzae Ddl Enzyme: An In silico Evaluation for Potential Agrochemical
    📅 Published: 2024 | Platform: Zenodo
    🔗 DOI: 10.5281/ZENODO.12183931
    📌 Cited by 2 articles

Conclusion:

John Rowen Miano is a highly motivated and intellectually capable young researcher. His contributions—although still at the early stage—exemplify innovation, relevance, and commitment to solving real-world agricultural problems. With a strong foundation in mathematical sciences and a growing body of work in computational biology, he is poised to become a key contributor to sustainable agrochemical discovery. His single-author research, proactive approach, and dedication to scientific exploration make him a strong nominee for the “Best Researcher Award” under an early-career or emerging talent category. He represents the next generation of researchers who merge computational power with natural science to address urgent agricultural and environmental challenges.

 

 

Mohammed Bouasabah | Stochastic Processes | Best Researcher Award

Published on by Academic Achievements

Prof Dr. Mohammed Bouasabah | Stochastic Processes | Best Researcher Award 

Professor | Ibn Tofail University | Morocco

Short Biography ✨

Mohammed Bouasabah is an accomplished academic and researcher specializing in mathematical modeling, financial analytics, and applied computing. Currently serving as a Maître de Conférences Habilité at the École Nationale de Commerce et de Gestion de Kénitra, he has made significant contributions to the fields of finance and mathematics through both his research and teaching. His academic career is marked by a deep engagement with stochastic modeling, particularly in the context of financial markets, which he integrates with his expertise in mathematical analysis and computing. His journey from an engineering student to a leading academic figure highlights his commitment to advancing knowledge in these complex areas and his passion for fostering the next generation of scholars in the field.

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Education 🎓

Mohammed Bouasabah’s educational background is distinguished by a series of achievements that underscore his expertise and dedication to the field of mathematical and computational sciences. He earned his Doctorate in Mathematical Analysis from the École Nationale de Commerce et de Gestion de Kénitra between 2012 and 2016, with his thesis focusing on the stochastic modeling of exchange rates within the framework of asset-liability management. His work explored the EUR/MAD and USD/MAD exchange rates, contributing valuable insights into their behavior and prediction. Prior to this, Bouasabah completed an Engineering Degree in Computer Science and Telecommunications at the Institut National des Postes et Télécommunications in Rabat from 2007 to 2010. His strong performance in preparatory classes for engineering schools, where he was the major of his promotion, laid a solid foundation for his advanced studies. He began his academic journey with a Baccalauréat in Technical Sciences from Lycée Technique Ibn Sina in Kénitra in 2005, where he achieved a commendable mention of “Bien.”

Experience 🏛️

Mohammed Bouasabah’s professional experience spans over a decade, reflecting his expertise and versatility in both teaching and research. Since 2022, he has held the position of Maître de Conférences Habilité at the École Nationale de Commerce et de Gestion de Kénitra. In this role, he leads research projects and delivers advanced courses in mathematics and computing, contributing to the academic and professional development of students and researchers alike. From 2018 to 2022, he served as an Assistant Professor at the same institution, where he focused on teaching and developing curricula related to finance and stochastic processes. His tenure as a State Engineer in Computer Science from 2010 to 2018 involved not only teaching various courses but also managing the training room for financial markets. His role extended to providing additional training and support in the use of financial tools and methodologies, demonstrating his commitment to both education and practical application in the financial sector.

Research Interests 🔍

Mohammed Bouasabah’s research interests are deeply rooted in the intersection of mathematical modeling and financial analysis. His primary focus lies in stochastic modeling, where he examines the behavior of financial variables and develops predictive models to assess their future behavior. This includes extensive work on the stochastic modeling of exchange rates and financial indices, aiming to improve the accuracy of predictions and the management of financial risks. Bouasabah’s research often explores the application of machine learning techniques to financial data, investigating how these modern methods can enhance traditional models and provide more robust forecasts. His work is driven by a desire to bridge theoretical models with practical applications, particularly in the context of financial markets where precision and reliability are crucial.

Awards 🏆

Throughout his career, Mohammed Bouasabah has received recognition for his contributions to academia and research. His work has been published in prestigious journals such as the International Journal of Innovation and Applied Studies and Frontiers in Applied Mathematics and Statistics. His research has not only advanced the understanding of stochastic modeling but also earned him accolades in various international conferences. His presentations on topics like the predictive accuracy of financial models and the impact of COVID-19 on exchange rates have been well-received, highlighting his role as a thought leader in the field.

Publications 📚

Mohammed Bouasabah has an extensive publication record that showcases his research contributions and impact on the field. Some of his notable publications include: