Kanika | Mathematics | Best Researcher Award

Ms. Kanika | Mathematics | Best Researcher Award

National Institute of Technology, Agartala, India

Author Profile

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🎓 EARLY ACADEMIC PURSUITS

Ms. Kanika laid a strong foundation in science and mathematics through her formal education in Haryana. Her academic interests matured further during her undergraduate studies in Mathematics, Physics, and Computer Science at Banasthali Vidyapith, Rajasthan. Recognizing her aptitude in mathematical sciences, she pursued a Master’s degree in Mathematics and Computing from the National Institute of Technology (NIT), Agartala. These formative years were instrumental in shaping her analytical abilities and fueling her passion for solving real-world challenges through mathematical principles.

🏢 PROFESSIONAL ENDEAVORS

Kanika’s academic path is enriched by practical engagements in computing and research. She contributed to the development of an Admission Management System during her undergraduate years, streamlining administrative processes and enhancing digital access in higher education institutions. At NIT Agartala, her postgraduate thesis focused on portfolio optimization under uncertainty, guided by Prof. Debasish Bhattacharya, aligning theoretical research with financial applications.

📚 CONTRIBUTIONS AND RESEARCH FOCUS IN MATHEMATICS

Ms. Kanika’s research interests are deeply rooted in applied mathematics, with a focus on:

  • Optimization Techniques

  • Uncertainty Theory

  • Graph Theory

  • Numerical Analysis

  • Scientific Computing

  • Machine Learning Integration

Her postgraduate research proposed a novel uncertain mean semi-absolute deviation model for portfolio optimization problems. This work introduced a new approach to evaluating financial risk and return under uncertain environments, incorporating transaction costs and cardinality limitations—contributing significantly to computational finance and mathematical modeling in economics.

🏅 ACADEMIC CITATIONS, ACCOLADES AND RECOGNITION

  • Selected for national-level mathematics training programs including MTTS (IISER-Thiruvananthapuram)

  • Qualified prestigious entrance examinations like IIT JAM, BHU M.Sc. Entrance, and NCERT CEE

  • Recognized by Association of Mathematics Teachers of India (AMTI) through the NMTC

  • Invited for oral presentations on mathematics applications at institutional conclaves

  • Active participation in academic workshops such as:

    • Mathematics: Concepts, Motivation and Applications

    • Research Trends in Mathematics and Technology

    • DigitALL: Innovation and Technology for Gender Equality

🌍 IMPACT AND INFLUENCE

Kanika’s work contributes to evidence-based decision-making in uncertain and data-intensive environments. Her models provide a deeper understanding of risk-return trade-offs, offering potential benefits for both individual investors and institutional finance sectors. With her multidisciplinary approach, she bridges mathematical modeling and machine learning, aiming to impact fields such as financial technology, predictive analytics, and strategic investment planning.

🧭 LEGACY AND FUTURE CONTRIBUTIONS

Kanika envisions her academic journey extending into impactful research that unifies mathematics with artificial intelligence, addressing real-world uncertainty problems in finance, healthcare, and public systems. She is committed to expanding her research into data-driven optimization, contributing to academic literature, mentoring students, and fostering mathematical thinking across disciplines.

 ✅CONCLUSION

Ms. Kanika represents a new era of mathematically-grounded, forward-thinking researchers. With her strong foundation, interdisciplinary orientation, and commitment to societal problem-solving, she is poised to make enduring contributions in academia, applied research, and scientific innovation.

🔬NOTABLE PUBLICATION:

Prediction of eco sustainability component using fuzzy Z numbers based ratio analysis and interval type 3 fuzzy logic system
Authors: A. Tarafdar, Kanika, A. Shaikh, P. Majumder, D. Pamucar, V. Simic, U.K. Bera
Journal: Journal of Cleaner Production
Year: 2024

Portfolio adjusting model using uncertainty theory: an application to real finance market
Authors: S. Chhatri, D. Bhattacharya, S. Priyadarshini, K. Kanika
Journal: 2023 IEEE Silchar Subsection Conference (SILCON)
Year: 2023

Niraj Patel | Mathematics | Best Researcher Award

Mr. Niraj Patel | Mathematics | Best Researcher Award

st xaviers, India

Author Profile

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🎓 EARLY ACADEMIC PURSUITS

Mr. Niraj Patel laid a solid academic foundation in Statistics, developing a keen interest in quantitative analysis, problem-solving, and real-world data interpretation. His education emphasized applied mathematics, inferential statistics, and computational techniques, providing the base for his later work in data analytics and personalized nutrition modeling.

🏢 PROFESSIONAL ENDEAVORS

Currently serving as a Statistics Faculty Member at St. Xavier’s, Niraj specializes in Data Analytics for Business, focusing on evidence-based decision-making. His skill set spans Excel, SQL, Python, and visualization tools like Power BI and Tableau. He is actively involved in teaching, mentoring, and industry-aligned curriculum development that bridges theoretical knowledge with modern business applications.

📚 CONTRIBUTIONS AND RESEARCH FOCUS IN MATHEMATICS

Niraj’s research intersects statistical modeling and health sciences, with a focus on mathematical modeling of personalized dietary interventions. His work integrates mixed-effects models, Bayesian inference, and machine learning algorithms, demonstrating the real-world utility of mathematics in nutrition science and predictive health analytics. He is particularly interested in precision nutrition, aiming to mathematically decode variability in human metabolic responses.

🏅 ACADEMIC CITATIONS, ACCOLADES AND RECOGNITION

  • Published in: International Journal of Innovative Science and Research Technology

  • Membership: IEEE, reflecting his engagement in global scientific discourse

  • Citation Index: [Pending/Not specified]

  • Recognized for contributing innovative methodologies for assessing real-time health metrics using multi-omics and wearable data integration

🌍 IMPACT AND INFLUENCE

By fusing data science with health insights, Niraj has contributed significantly to the precision health movement. His models help understand inter-individual variability in dietary responses, which can transform how health professionals approach personalized dietary planning. His research supports industries seeking data-driven, individualized nutrition solutions to improve public health.

🧭 LEGACY AND FUTURE CONTRIBUTIONS

Niraj Patel aims to extend his models to broader clinical applications—such as diabetes management, weight loss prediction, and inflammatory response tracking. He envisions developing AI-powered nutrition platforms that leverage real-time data streams from wearables and mobile apps, backed by rigorous mathematical frameworks.

 ✅CONCLUSION

Niraj Patel stands at the frontier of applied statistics and mathematical health modeling, demonstrating how mathematics fuels innovation in nutrition science. His academic contributions, research collaborations, and commitment to data-centric solutions position him as a visionary educator and researcher in both statistics and interdisciplinary health analytics.

🔬NOTABLE PUBLICATION:

Exploring Ethnic and Gender Patterns in Higher Education Enrollment: A Data Mining Approach
Author: N Patel
Journal: Scientific Explore Publications
Year: 2025

Personalized Dietary Impact Assessment Using Advanced Statistical Modeling
Author: N Patel
Journal: International Journal of Innovative Science and Research Technology, Volume 10, Issue 5
Year: 2025

Sentiment Prediction for Market Volatility
Author: N Patel
Journal: International Journal of Innovative Science and Research Technology, Volume 10, Issue 2
Year: 2025

Evaluating the Influence of Ride Sourcing Services on Travel Patterns and Transportation Networks in Toronto
Author: N Patel
Journal: International Journal of Innovative Science and Research Technology, Volume 10, Issue 2
Year: 2025

 Predicting Film Box Office Performance Using Wikipedia Edit Data
Author: N Patel
Journal: International Journal of Innovative Science and Research Technology, Volume 10, Issue 2
Year: 2025