Kira Phan | Machine Learning | Research Excellence Award

Ms. Kira Phan | Machine Learning | Research Excellence Award

Ms. Kira Phan | Machine Learning | California State University, San Bernardino | United States

Ms. Kira Phan is an emerging researcher and undergraduate scholar affiliated with the College of Natural Sciences at California State University, San Bernardino, where she is building a strong academic and research foundation in computational and data-driven sciences. She is currently pursuing undergraduate studies with a focus on applied computing, data analysis, and interdisciplinary scientific inquiry, demonstrating early commitment to research-oriented learning. Her academic journey is marked by active involvement in scholarly research, including meaningful participation in internationally co-authored studies that have resulted in peer-reviewed publication, an achievement that reflects both technical competence and academic maturity at an early career stage. Ms. Kira Phan has contributed to a Scopus-indexed journal article published in Computers (ISSN 2073-431X), where she applied machine learning techniques to the classification of textual medical notes, highlighting her capability in handling real-world healthcare data and complex analytical frameworks. Her research interests are centered on machine learning, medical text analytics, healthcare informatics, and artificial intelligence applications for clinical decision support, aligning closely with high-impact and globally relevant research domains. She has developed research skills in machine learning model evaluation, natural language processing, data preprocessing, collaborative research methodologies, and academic writing for international journals.

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Featured Publications:


Comparative Study of Machine Learning Models for Textual Medical Note Classification

Medical Informatics / Artificial Intelligence / Natural Language Processing

This study evaluates and compares multiple machine learning and NLP models for the classification of unstructured clinical text, highlighting performance trade-offs, feature representations, and implications for automated healthcare decision support.

 

Saddam Hossain | Computer Science | Best Researcher Award

Mr. Saddam Hossain | Computer Science | Best Researcher Award

Mr. Saddam Hossain | Computer Science – Lecturer at World University of Bangladesh, Bangladesh

Saddam Hossain is an emerging scholar and dedicated academic in the field of Applied Mathematics, currently serving as a Lecturer at the World University of Bangladesh. With a deep-rooted passion for mathematical modeling and problem-solving, he has steadily built a career marked by academic rigor, teaching innovation, and interdisciplinary research. His interests lie at the intersection of pure mathematics and applied sciences, with particular expertise in numerical methods, cosmological modeling, and time series forecasting. Known for his methodical thinking and intellectual curiosity, Saddam consistently contributes to both academia and society through his commitment to quality education and impactful research.

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Education:

Saddam completed his Bachelor of Science and Master of Science degrees in Applied Mathematics from Noakhali Science & Technology University. During his undergraduate studies, he secured a First Class 4th position with a CGPA of 3.57 out of 4, and in his postgraduate program, he attained a First Class 5th rank with a CGPA of 3.50. His academic training emphasized rigorous mathematical foundations along with applied problem-solving, preparing him to conduct advanced research. Both his thesis and project work demonstrate a focus on cosmological mathematics and numerical approximation methods — setting the stage for his ongoing academic journey. His educational accomplishments reflect not only strong analytical aptitude but also perseverance and academic consistency.

Experience:

Since January 2019, Saddam Hossain has been contributing to higher education as a Lecturer in the Basic Science Division at the World University of Bangladesh. His role extends beyond teaching to curriculum development, creative lesson planning, and academic mentorship. He has been instrumental in designing effective mathematical modules, integrating both theoretical frameworks and practical applications. Saddam’s teaching philosophy is student-centered, emphasizing clarity, logic, and conceptual depth. He has also taken part in IT and programming training, enhancing his technical capacity to conduct and guide computational research.

Research Interest:

Saddam’s research interests are diverse yet deeply grounded in mathematical applications. His focus areas include numerical methods, mathematical physics, cosmology, econometric modeling, and the application of statistical tools in agriculture and economics. He has shown an aptitude for merging theoretical mathematics with real-world data interpretation. From studying inflation prediction models to exploring the mathematical underpinnings of the universe through Friedmann equations, Saddam’s work represents a bold effort to integrate classical mathematics with contemporary scientific inquiries. His computational skills in MATLAB, FORTRAN, and MATHEMATICA support his analytical explorations and enable precise modeling.

Award:

Saddam Hossain’s commitment to academic excellence and research has earned him a reputation as a high-potential educator and scholar. Though currently in the early stages of his award journey, his top academic ranking and leadership in several peer-reviewed publications have laid a solid foundation for national and international recognition. His consistent publication record and contribution to interdisciplinary fields highlight his suitability for honors such as the “Best Researcher Award,” which would not only acknowledge his existing achievements but also motivate future breakthroughs in mathematical research.

Publication:

📊 “Linear Trend Line Analysis by the Method of Least Square for Forecasting Rice Yield in Bangladesh” (2022), published in Journal of Mechanics of Continua and Mathematical Sciences, cited for its application in agricultural policy forecasting.
🌌 “A New Mathematical Approach Based on the Friedmann Equation” (2020), featured in IOSR Journal of Applied Physics, bridges cosmological theory with mathematical formulation.
🧮 “A New Analysis of Approximate Solutions for Numerical Integration Problems with Quadrature-based Methods” (2020), published in Pure and Applied Mathematics Journal, is widely used in computational math studies.
🐄 “A Mathematical Study of Break-Even Analysis Based on Dairy Farms in Bangladesh” (2020), in International Journal of Economic Behavior and Organization, applies quantitative models in agribusiness.
🔢 “Operations and Actions of Lie Groups on Manifolds” (2020), featured in American Journal of Computational Mathematics, explores abstract algebraic structures with geometric implications.
📉 “A Comparative Exploration on Different Numerical Methods for Solving Ordinary Differential Equations” (2020), from JMCMS, offers key insights for numerical analysis students.
📈 “Could Econometric Models Predict Higher Inflation? Time Series Modelling and Inflation Rate Forecasting” (2024), published in American Scientific Research Journal for Engineering, Technology, and Sciences, provides a predictive framework for economic indicators.

Conclusion:

Saddam Hossain exemplifies the qualities of a dynamic researcher and committed educator whose work consistently blends academic rigor with practical relevance. His academic journey, shaped by strong performance, research curiosity, and educational leadership, positions him as a deserving nominee for the Best Researcher Award. Through his contributions to both theoretical and applied mathematics, he not only enriches his field but also sets a benchmark for future researchers in Bangladesh and beyond. Recognizing Saddam at this stage of his career would not only validate his efforts but also encourage further innovation and scholarly excellence in mathematical sciences.