Harikumaran M | Mathematics | Best Scholar Award

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)

 

Hans Josef Pesch | Mathematics | Trailblazing Popular Scientist Award

Prof. Dr. Hans Josef Pesch | Mathematics | Trailblazing Popular Scientist Award

University of Bayreuth Germany

Prof. Dr. Hans Josef Pesch is a distinguished mathematician specializing in numerical analysis and optimal control. Born on August 1, 1949, in Dormagen, Germany, he has significantly contributed to computational mathematics in science and engineering. With a career spanning several prestigious institutions, he served as Chair of Mathematics in Engineering Sciences at the University of Bayreuth until his retirement in 2015. Currently, he is a Professor Emeritus, continuing his academic influence in optimization and applied mathematics.

Profile

Scopus

Google Scholar

Education 🎓

Prof. Pesch pursued his studies in Mathematics and Physics at the University of Cologne (1968–1974), earning a Diploma in Mathematics in 1974. He completed his Doctorate (Dr.rer.nat.) in 1978 at Munich University of Technology, followed by a Habilitation (Dr.rer.nat.habil.) in 1986. His early education included classical training in Latin and Greek, reflecting a strong foundation in analytical and logical reasoning.

Experience 🏛️

With a vast academic career, Prof. Pesch has held multiple prestigious positions:

  • University of Bayreuth (1999–2015): Full Professor and Chair of Mathematics in Engineering Sciences.

  • Clausthal University of Technology (1995–1999): Full Professor for Numerical Analysis and Scientific Computing.

  • Munich University of Technology (1989–1995): Associate Professor.

  • University of California, San Diego (1987): Visiting Professor.

  • University of the Armed Forces, Munich (1988–1989): Associate Professor.
    Throughout his tenure, he led Ph.D. programs, supervised over 170 master’s theses, 35 Ph.D. theses, and mentored postdoctoral researchers.

Research Interests 🔬

Prof. Pesch’s research revolves around optimal control theory, numerical analysis, and computational mathematics. He has worked extensively on real-time optimization, industrial process modeling, and optimal control of engineering systems. His contributions include applications in robotics, welding processes, fuel cell systems, and vehicle dynamics, impacting both academia and industry.

Awards & Honors 🏆

  • Recognition for his contributions to computational mathematics and optimal control.

  • Funding from prestigious institutions like the German National Science Foundation (GNSF), European Science Foundation (ESF), and the German Ministry of Research and Technology (BMBF).

  • Leadership roles in major doctoral programs and research networks.

Publications Top Notes: 📚

Prof. Pesch has authored two monographs, over 95 journal publications, and numerous conference papers. His work is widely cited, influencing advancements in mathematical optimization. Some of his key publications include:

Numerical treatment of delay differential equations by Hermite interpolation

Abort landing in the presence of windshear as a minimax optimal control problem, part 2: Multiple shooting and homotopy

Real‐time computation of feedback controls for constrained optimal control problems. part 1: Neighbouring extremals

Real‐time computation of feedback controls for constrained optimal control problems. part 2: A correction method based on multiple shooting

Abort landing in the presence of windshear as a minimax optimal control problem, part 1: Necessary conditions

Combining direct and indirect methods in optimal control: Range maximization of a hang glider

Complex differential games of pursuit-evasion type with state constraints, part 1: Necessary conditions for optimal open-loop strategies

The maximum principle of optimal control: a history of ingenious ideas and missed opportunities

A modified continuation method for the numerical solution of nonlinear two-point boundary value problems by shooting techniques

Comparing routines for the numerical solution of initial value problems of ordinary differential equations in multiple shooting