Harikumaran M | Mathematics | Best Scholar Award

Published on by Popular Scientist

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)