Niraj Patel | Mathematics | Best Researcher Award

Mr. Niraj Patel | Mathematics | Best Researcher Award

st xaviers, India

Author Profile

GOOGLE SCHOLAR

🎓 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

Rupchand Sutradhar | Mathematics | Young Scientist Award

Dr. Rupchand Sutradhar | Mathematics | Young Scientist Award

Indian Institute of Technology Kanpur, India

Author Profile

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ORCID

🎓 EARLY ACADEMIC PURSUITS

Dr. Rupchand Sutradhar began his academic journey in West Bengal, completing a B.Sc. in Mathematics with a strong academic record. He went on to pursue an M.Sc. in Applied Mathematics, achieving high distinction and building a solid foundation in applied mathematical modeling.

Continuing his pursuit of academic excellence, he joined the Indian Institute of Technology (IIT) Guwahati for a Ph.D. in Mathematics. Under the guidance of a faculty advisor, his research focused on mathematical biology, particularly the dynamics of hepatitis B virus (HBV) infection.

🏢 PROFESSIONAL ENDEAVORS

Dr. Sutradhar’s transition into postdoctoral research and executive roles reflects his trajectory of growth:

  • Project Executive Officer, IIT Kanpur (Feb 2025 – Apr 2025)

  • Senior Project Executive Officer, IIT Kanpur (May 2025 – Present)

Teaching Experience:

He has contributed significantly as a Teaching Assistant for foundational undergraduate and postgraduate courses such as:

  • Real Analysis

  • Linear Algebra

  • Complex Analysis

  • Numerics of PDEs

Also mentored students under the Peer Assistance Learning (PAL) program and taught on Coursera for B.Sc. in Data Science & AI.

📚 CONTRIBUTIONS AND RESEARCH FOCUS ON MATHEMATICS

Dr. Sutradhar’s research stands out in the interdisciplinary space of Mathematical Biology, with emphasis on:

  • HBV infection modeling

  • Fractional calculus

  • Wave propagation in infectious systems

  • Virology-informed neural networks

  • Capsid recycling and rcDNA dynamics

🧠 Technical Skills:
Proficient in Matlab, C, LaTeX, Mathematica, and computational modeling.

🌍 IMPACT AND INFLUENCE

His work bridges the domains of applied mathematics, virology, and computational science. By introducing new frameworks and numerical schemes, his models offer critical insights for therapeutic strategies against HBV, emphasizing capsid recycling and combination therapies.

As a reviewer for reputed journals such as:

  • The European Physical Journal Plus

  • Mathematical Biosciences

  • Exploration of Digestive Diseases

He is shaping academic discourse in his field.

🧭 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Sutradhar is actively working on:

  • Triangular domain modeling to reflect liver morphology – a novel integration of biological structure into mathematical simulation.

  • AI-integrated epidemiological models, pushing the boundaries of traditional modeling.

His efforts are poised to inform policy, public health models, and pharmaceutical strategies for chronic infectious diseases.

 ✅CONCLUSION

Dr. Rupchand Sutradhar’s journey epitomizes the synergy of theoretical rigor and practical relevance. With deep engagement in mathematical modeling, he contributes meaningfully to the global scientific discourse on virology and disease dynamics. His blend of academic excellence, technical proficiency, and emerging leadership in applied mathematics positions him as a rising force in interdisciplinary research.

 🔬NOTABLE PUBLICATION:

  • Title: Fractional‐order models of hepatitis B virus infection with recycling effects of capsids
    Author(s): R. Sutradhar, D.C. Dalal
    Journal: Mathematical Methods in the Applied Sciences
    Year: 2023

  • Title: Cytoplasmic Recycling of rcDNA-containing Capsids Enhances HBV Infection
    Author(s): R. Sutradhar, D.C. Dalal
    Journal: Nonlinear Dynamics
    Year: 2024

  • Title: The Roles of Continuous and Discontinuous Proliferations on Hepatitis B Virus Infection
    Author(s): R. Sutradhar, D.C. Dalal
    Journal: Mathematical Biosciences
    Year: 2025

  • Title: On existence of traveling wave of an HBV infection dynamics model: A novel approach
    Author(s): R. Sutradhar, D.C. Dalal
    Journal: The European Physical Journal Plus
    Year: 2024

  • Title: Combination Therapy for Chronic Hepatitis B Using Capsid Recycling
    Author(s): R. Sutradhar, D.C. Dalal
    Journal: Proceedings of the 2nd International Conference on Nonlinear Dynamics and …
    Year: 2024