Harikumaran M | Mathematics | Best Scholar Award

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Mr. Harikumaran M | Mathematics | Best Scholar Award

Research Scholar at Periyar Maniammai Institute of Science & Technology, India

Mr. M. Harikumaran is an early-career researcher in mathematics and computational intelligence, specializing in fuzzy logic systems, soft computing, and precision agriculture. He holds an M.Sc. in Mathematics (CGPA 9.2) and has recently submitted his Ph.D. thesis at Periyar Maniammai Institute of Science & Technology, focusing on a novel fuzzy-metaheuristic framework for optimizing fertilizer application in smart farming.

Profile:

🎓 Academic Background:

  • Ph.D. in Mathematics (Thesis Submitted: May 2025)
    Periyar Maniammai Institute of Science & Technology, Thanjavur

  • M.Sc. in Mathematics – 9.2 CGPA

  • B.Sc. in Mathematics – 82%

🔬 Research Expertise:

  • Fuzzy Logic (Type-1, Type-2, Type-3) & Optimization

  • Precision Agriculture & Sustainable Farming

  • Soft Computing (ANFIS, ANN, RL)

  • Metaheuristic & Swarm Intelligence Algorithms

  • Predictive Modeling & Simulation

📘 Key Contributions:

  • 🧠 Developed AIFOS: Intelligent system for optimizing fertilizer use

  • 🧪 Designed Hybrid Walrus–Shark Algorithm (HWSFA) for feature selection

  • 🛰️ Integrated Reinforcement Learning for real-time soil adaptability

  • 📝 7 Scopus-indexed publications (incl. Elsevier Q1, IF: 7.6)

  • 📚 2 Book Chapters, 1 Indian Patent, 6 International Presentations

  • 🧑‍💼 Reviewer for Contemporary Mathematics (Q1)

💻 Tools & Tech Stack:

  • Software: MATLAB, SPSS, Orange, Weka

  • Programming: Python (NumPy, SciPy, scikit-fuzzy)

  • Models: FIS, ANN, ANFIS, PSO, GA, ABC, WOA

🏆 Recognition & Roles:

  • Patent co-inventor on hybrid fuzzy-ML model for stock prediction

  • Guest lectures on fuzzy logic and optimization

  • Mentored undergraduate/postgraduate dissertation projects

📌 Career Vision:

To contribute as an Assistant Professor by blending research and teaching in mathematical modeling, AI, and sustainable systems—creating intelligent solutions for agriculture, energy, and real-world decision-making.

Publication Top Notes:

  1. Comparative Analysis of ANN and ANFIS Models for Solar Energy Prediction: Advancing Forecasting Accuracy in Photovoltaic Systems
    AIP Conference Proceedings, 3231(1), 2024.

  2. Enhancing Predictive Modeling in Power Plants: A Comparative Analysis of ANFIS and ANN for Electrical Energy Output Estimation
    2024 International Conference on Inventive Computation Technologies (ICICT), IEEE, 2024.

  3. Optimizing Fertilizer Recommendations in Precision Agriculture: A Novel Defuzzification Approach with Adaptive Intelligent Optimization
    Knowledge-Based Systems, 321, Article 113550, 2025. (Elsevier, SCIE, Q1, IF: 7.6)

  4. Enhancing Rice Crop Yield Prediction through the Integration of ANFIS and ANN Models with Real-Time Sensor Data
    Computational Methods in Science and Technology, pp. 370–376, 2024. (CRC Press)

  5. Optimizing Fertilizer Recommendations through Fuzzy Logic and Soil Nutrient Analysis for Advancing Precision Agriculture
    Computational Methods in Science and Technology, pp. 205–212, 2024. (CRC Press)

  6. Optimizing Corrosion Prevention Strategies through Mathematical Predictive Modelling: Integration of Linguistic Rules and Fuzzy Inference Systems
    Computational Methods in Science and Technology, pp. 377–383, 2024. (CRC Press)

  7. Examining Market Volatility Arbitrage in Cryptocurrencies with the Perspective of Beldex Coin Trading Dynamics in India
    Investment Management & Financial Innovations, 21(4), pp. 289–300, 2024. (Scopus Indexed)

 

Komal Bansal | Mathematical Modeling | Women Researcher Award

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Dr. Komal Bansal | Mathematical Modeling | Women Researcher Award

Assistant professor at Chandigarh University, India

Dr. Komal Bansal is currently serving as an Assistant Professor of Mathematics at the Centre for Distance and Online Learning, Chandigarh University, Mohali. She earned her Ph.D. in Mathematics from BITS Pilani (2019–2024), with a thesis titled “Socioeconomic and Epidemiologic Modeling: A Fractional Differintegral Approach.” She holds an M.Sc. in Mathematics from Guru Jambheshwar University of Science & Technology (2018) and a B.Sc. from Maharshi Dayanand University (2016).

Profile:

🎓 Academic Journey:

  • Ph.D. in Mathematics (2019–2024)
    BITS Pilani, Rajasthan
    Thesis: Socioeconomic and Epidemiologic Modeling: A Fractional Differintegral Approach

  • M.Sc. Mathematics (2016–2018)
    Guru Jambheshwar University of Science & Technology, Hisar
    📈 Marks: 85.07%

  • B.Sc. (2013–2016)
    Government College Birohar, MDU Rohtak
    📊 Marks: 74.6%

🔬 Research Interests:

  • Fractional Calculus & Differential Equations

  • Delay Differential Equations

  • Mathematical Modeling in epidemiology, crime, social media, economics

  • Stability & Bifurcation Analysis

🏅 Achievements:

  • ✅ CSIR-UGC JRF/NET Qualified in Mathematical Sciences

  • 🏆 Best Paper Presentation – AMSE 2022

💻 Skills & Tools:

  • MATLAB | LaTeX

  • Expertise in Linear Algebra, Differential Equations, and Fractional Models

🌍 Conference & Workshop Participation:

  • Speaker/Presenter at top conferences: ICFC, ADENA, FPAS, AMSE

  • Attended numerous FDPs and workshops on fractional calculus, AI, optimization, and pedagogies

📊 Citation Metrics: 

  • Citations: 89

  • h-index: 6

  • i10-index: 3

Publication Top Notes:

  • Dynamics of crime transmission using fractional-order differential equations
    K. Bansal, S. Arora, K.S. Pritam, T. Mathur, S. Agarwal
    Fractals, 30(1), 2250012(1–16), 2022.

  • Analysis of illegal drug transmission model using fractional delay differential equations
    K. Bansal, T. Mathur, N.S.S. Singh, S. Agarwal
    AIMS Mathematics, 7(10), 18173–18193, 2022.

  • Fractional-order crime propagation model with non-linear transmission rate
    K. Bansal, T. Mathur, S. Agarwal
    Chaos, Solitons & Fractals, 169, 113321, 2023.

  • Impact of social media on academics: A fractional-order mathematical model
    K. Bansal, T. Mathur, T. Mathur, S. Agarwal, R.D. Sharma
    International Journal of Modelling and Simulation, 1–15, 2023.

  • The LADM approach to analyze the fractional-order model for smoking habits including memory
    K. Bansal, T. Mathur, S. Agarwal
    AIP Conference Proceedings, 2819(1), 040007, 2023.

  • Modeling crime transmission with fear effect: A fractional-order approach for effective crime control strategies
    K. Bansal, T. Mathur, S. Agarwal
    The Journal of Analysis, 1–21, 2024.

  • Impact of skills development on youth unemployment: A fractional-order mathematical model
    K. Bansal, T. Mathur
    Mathematical Methods in the Applied Sciences, 14286–14303, 2024.

  • LVIM approach to analyse the fractional-order model for childhood diseases
    N. Pareek, K. Bansal, A. Gupta, R. Mathur, T. Mathur, S. Agarwal
    Journal of Health Management, 26(4), 624–631, 2024.

  • Sensitivity analysis of fractional-order SVEIR lumpy skin disease model
    S. Rathee, Y. Narwal, K. Bansal, H. Emadifar
    Alexandria Engineering Journal, 119, 609–622, 2025.

  • Ordinary differential equations: Principles, techniques, and contemporary perspectives
    K. Bansal
    Notion Press. ISBN: 979-8896997016, 2025.

  • Analyzing unemployment dynamics: A fractional-order mathematical model
    S. Rathee, Y. Narwal, K. Bansal, T. Mathur, H. Emadifar
    Mathematical Methods in the Applied Sciences, 2025.

  • Fractional-order crime propagation model: A comparison between logistic and exponential growth
    K. Bansal, T. Mathur
    Ricerche di Matematica, 1–19, 2024.