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.

Profile Verified:

ORCID

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.

 

 

Mathias Raschke | Applied Mathematics | Outstanding Contribution Award

Published on by Academic Achievements

Dr. Mathias Raschke | Applied Mathematics | Outstanding Contribution Award

Risk Engineer at Freelancer (beside a job in industry), Germany

Dr. Mathias Raschke is an accomplished civil and structural engineer with extensive expertise in natural catastrophe (NatCat) modeling, risk assessment, and model development. With a Ph.D. from Bauhaus University Weimar, he has developed and validated earthquake, storm, and flood risk models across Europe, Africa, and Australia. His work spans academic research, reinsurance analytics, and commercial software development, including the creation of QuakeRisk. Dr. Raschke is highly skilled in stochastic modeling, statistical analysis, and the application of leading industry tools like RMS and AIR. He is an active member of several professional societies, including the German Society for Earthquake Engineering and Structural Dynamics, and contributes to innovation in both NatCat and emerging risk domains like cyber and credit modeling.

Academic Profile

SCOPUS

ORCID

Education

Dr. Mathias Raschke holds a Doctorate in Civil/Structural Engineering (Dr.-Ing.) from Bauhaus University Weimar, awarded in December 2003. His Ph.D. research focused on the correlation between earthquake intensity and building damage, and its application in seismic risk analysis, earning the distinction magna cum laude. Prior to that, he completed his Diplom-Ingenieur (Dipl.-Ing.) in Civil Engineering at Bauhaus University Weimar between 1993 and 1997, with a diploma thesis examining challenges in earthquake-resistant construction using traditional building methods in Central Asia. He began his academic journey with a pre-diploma in Construction Informatics from HAB (now Bauhaus University) from 1989 to 1992, where he concentrated on software development for the construction and civil engineering industries. His academic training combines a strong foundation in engineering, informatics, and risk modeling—laying the groundwork for his interdisciplinary expertise in natural catastrophe modeling.

Experience

Dr. Mathias Raschke is a seasoned expert in natural catastrophe (NatCat) modeling, with decades of experience across academia, reinsurance, and independent consultancy. Since 2003, he has worked as an independent scientist and freelancer, focusing on the development and distribution of QuakeRisk—a custom earthquake risk model and software—and publishing research on advanced modeling techniques in stochastic, actuarial, and geoscience journals. Most recently, he served as a NatCat Analyst and Director at Howden Re, and previously at Ecclesia Re, where he led the modeling and validation of German NatCat portfolios, as well as actuarial modeling in emerging areas like cyber, credit, and bond risks. Prior to that, he worked as a Senior Consultant and Modeler at R+V Re, contributing to AIR-based modeling and validation of catastrophe portfolios across multiple countries and perils. Dr. Raschke also has a strong academic and research background, having held senior scientist roles at ETH Zurich and IWSÖ Weimar, where he led projects on infrastructure vulnerability and flood risk under EU-funded initiatives. His early career includes a scientific appointment at Bauhaus University Weimar, where he conducted research on earthquake hazard and vulnerability, including field missions. With deep expertise in hazard, vulnerability, and financial modeling components, and hands-on experience with commercial platforms like RMS and AIR, Dr. Raschke is recognized for his innovative problem-solving, technical rigor, and cross-disciplinary insights into catastrophe risk.

Research Interests

Dr. Mathias Raschke’s research interests lie at the intersection of natural catastrophe (NatCat) modeling, risk assessment, and engineering-based hazard analysis. He is particularly focused on the development and validation of probabilistic and stochastic models for perils such as earthquakes, floods, and storms, integrating physical hazard data with statistical and actuarial approaches. His work encompasses all components of catastrophe modeling—from hazard characterization and vulnerability assessment to financial impact analysis—aiming to enhance both scientific understanding and practical applications in insurance and risk management. In recent years, he has expanded his interests to include emerging risks such as cyber threats and credit & bond modeling. He is also dedicated to advancing novel computational methods, such as integral-differential interpolation and combined return period modeling, and applying GIS and software development tools for spatial and systemic risk modeling. His research reflects a strong commitment to bridging engineering science with real-world solutions for disaster resilience and insurance risk evaluation.

Publications 📚 

Modelling maximum cyber incident losses of German organisations: an empirical study and modified extreme value distribution approach

Integral-Differential Interpolation of Grid Cell Information

Spatiality in Hazard Models for European Windstorms

About the return period of a catastrophe

Conclusion

Dr. Mathias Raschke stands out as an eminent candidate for the Outstanding Contribution Award owing to his innovative research, technological leadership, and broad societal impact in natural catastrophe modeling. His body of work not only advances academic science but also fortifies global resilience to disaster risks, fulfilling the very spirit of this prestigious honor.

Pratik Nag | Statistics | Best Researcher Award

Published on by Academic Achievements

Mr. Pratik Nag | Statistics | Best Researcher Award

Mr. Pratik Nag | Statistics – Researcher at University of Wollongong, Australia

Dr. Pratik Nag is an accomplished researcher specializing in computational statistics, spatial data analysis, and machine learning applications. With a strong academic background and a passion for data-driven solutions, he has significantly contributed to the field of large-scale spatial statistics. His work has been widely recognized through prestigious publications and awards, making him a distinguished figure in his domain.

Profile:

Orcid | Scopus

Education:

Dr. Nag has an extensive academic background in statistics and data science. He earned his Ph.D. in Statistics from King Abdullah University of Science and Technology (KAUST), where he worked under the guidance of Dr. Ying Sun. Prior to that, he completed his Master’s degree in Quality Management Science from the Indian Statistical Institute and his Bachelor’s degree in Statistics from the University of Calcutta. His educational journey has equipped him with a robust foundation in statistical modeling and computational techniques.

Experience:

Dr. Nag is currently serving as a Research Fellow in Computational Statistics at the University of Wollongong, Australia. Previously, he has worked as a Graduate Teaching Assistant at KAUST, where he contributed to the instruction of advanced statistics courses. Before his doctoral studies, he gained industry experience as a Data Science Specialist at General Electric Healthcare, where he applied statistical methodologies to solve complex data problems in the healthcare sector.

Research Interests:

Dr. Nag’s research focuses on developing innovative statistical methods for large-scale spatial and spatio-temporal data analysis. His expertise includes DeepKriging, spatial covariance estimation using convolutional neural networks, and the application of Fourier Neural Operators for space-time forecasting. His interdisciplinary work bridges statistics, machine learning, and environmental data science, providing novel solutions for real-world challenges.

Awards:

Dr. Nag’s outstanding contributions to research have been recognized with several prestigious awards, including:

  • 🏆 Al-Kindi Student Research Award (2024) – Awarded by KAUST for excellence in statistical research.
  • 🏅 Winner of KAUST Competition on Spatial Statistics for Large Datasets (2023) – Achieved top positions in subcompetitions 1b and 2a.
  • 🎓 CEMSE Dean’s List Award (2022) – Recognized for academic excellence at KAUST.
  • 🏅 Winner of KAUST Competition on Spatial Statistics for Large Datasets (2022) – Secured top rankings in subcompetitions 2a and 2b.

Publications:

Dr. Nag has authored several high-impact publications in renowned journals. Some of his key contributions include:

  • 📄 Bivariate DeepKriging for Computationally Efficient Spatial Interpolation of Large-scale Wind Fields – Technometrics (2025) | Cited by 12 articles
  • 📄 Efficient Large-scale Nonstationary Spatial Covariance Function Estimation using Convolutional Neural Networks – Journal of Computational and Graphical Statistics (2024) | Cited by 18 articles
  • 📄 Exploring the Efficacy of Statistical and Deep Learning Methods for Large Spatial Datasets: A Case Study – JABES (2024) | Cited by 9 articles
  • 📄 Spatio-temporal DeepKriging for Interpolation and Probabilistic Forecasting – Spatial Statistics (2023) | Cited by 15 articles
  • 📄 The Second Competition on Spatial Statistics for Large Datasets – Journal of Data Science (2022) | Cited by 10 articles
  • 📄 Reshaping Geostatistical Modeling and Prediction for Extreme-scale Environmental Applications – SC22 Conference (2022) | Cited by 20 articles

Conclusion:

Dr. Pratik Nag’s remarkable contributions to computational statistics and spatial data analysis make him a strong contender for the Best Researcher Award. His innovative research, strong publication record, and recognized achievements underscore his excellence in the field. While he continues to push the boundaries of statistical science, expanding his impact through industry collaborations and research leadership will further enhance his influence. Given his significant contributions and future potential, Dr. Nag is highly deserving of this award.

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.

Profile

Scopus

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: