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.

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🎓 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)

 

Seema SEEMA | Mathematics | Best Researcher Award

Mrs. Seema SEEMA | Mathematics | Best Researcher Award

Research Scholar Christ University, Bengaluru, India, 560029. India

Ms. Seema is a dedicated researcher in the field of mathematics and computational seismology, currently working as a Senior Research Scholar in the Department of Science (Mathematics) at CHRIST (Deemed to be University), Delhi-NCR Campus, Ghaziabad. With a strong foundation in applied mathematics, she is driven by a passion to explore seismic wave propagation in smart and advanced materials such as piezomagnetic and piezoelectric structures. Her scholarly contributions focus on theoretical and computational analysis of wave mechanics, aiming to enhance the scientific understanding of the Earth’s physical behavior through mathematical models.

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🎓 Education

Ms. Seema is currently pursuing an Executive Post Graduate Program in Data Science & AI at IIT Roorkee, expected to complete by February 2025. She is also completing her Ph.D. in Mathematics and Computing at CHRIST University, where her thesis focuses on Transference Characteristics of Seismic Surface Waves in Piezo-composite Layered Structures with Distinct Interfacial Conditions. She holds an M.Sc. in Mathematics (2014) and a B.Sc. (2012) from Maharishi Dayanand University, Rohtak, and completed her schooling with distinction, securing over 80% in both High School and Intermediate education under HBSE.

🧑‍🏫 Experience

Ms. Seema has experience both in academia and research. From June 2020 to May 2022, she worked as a Guest Faculty at CHRIST University, Delhi-NCR, teaching advanced mathematical subjects including Linear Algebra, Calculus, and Differential Equations with Python integration. Since June 2022, she has been serving as a Senior Research Scholar, contributing to the fields of theoretical and computational seismology. Her technical expertise extends to Python, SQL, LaTeX, Mathematica, and data analysis platforms.

🔬 Research Interests

Ms. Seema’s core research interests lie in Theoretical and Computational Seismology, focusing on wave propagation in smart and functional materials such as piezoelectric, piezomagnetic, and functionally graded piezoelectric materials (FGPM). She is particularly interested in surface and interface effects, rheological models, and flexoelectric coupling in seismic wave studies. Her work combines applied mathematics and physical modeling to analyze complex material interactions under various boundary and interface conditions.

🏆 Awards

Ms. Seema secured an impressive All India Rank 6 in the CSIR-NET examination, a prestigious national-level qualification for research and lectureship in India. Her doctoral thesis and multiple publications in SCI-indexed Q1 and Q2 journals further underscore her scientific merit and recognition in the research community.

📚 Publications Top Notes:

Ms. Seema has published extensively in peer-reviewed international journals. Below is a list of her notable SCI publications along with hyperlinks, journal name, year, and citation info (if available):

Seema & A. Singhal (2024). Theoretical investigation of SH wave transmission in magneto‐electro‐elastic structure having imperfect interface, Applied Physics A (Springer), Q2, IF: 2.5.

Seema & A. Singhal (2024). Nonlinear Surface Effects Study… in Orthotropic Piezoelectric Materials, Journal of Applied Mechanics (ASME), Q1, IF: 2.6.

Seema & A. Singhal (2024). Flexoelectric effect in Love-type waves for piezo-structure, ZAMM, Q2, IF: 2.3.

Seema & A. Singhal (2024). SH and Anti-plane SH waves in Piezoelectric Quasicrystal, Acta Mechanica (Springer), Q2, IF: 2.3.

Seema et al. (2024). Surface wave in flexoelectric plate with viscoelastic coating, Physica Scripta (IOP), Q2, IF: 2.6.

Seema & A. Singhal (2024). Interface Effects in Piezoelectric Quasicrystals, Acta Mechanica Sinica, Q1, IF: 3.8.

Seema & A. Singhal (2025). Wave velocity in flexoelectric piezoelectric AlN, J Braz. Soc. Mech. Sci. Eng., Q2, IF: 1.8.

Seema & A. Singhal (2024). Imperfect interfaces in cobalt ferrite plates, Discover Materials, Q2.

Seema et al. (2025). SH wave signals for nanosensor applications in PZT-2 and PZT-5H, Acta Mechanica, Q2, IF: 2.3.

Seema & A. Singhal (2025). Energy transmission in piezomagnetic tetrahedral laminate, Applied Physics A, Q2, IF: 2.5.

Zeeshan khan | Mathematics | Most Cited Paper Award

Assist. Prof. Dr. Zeeshan khan | Mathematics | Most Cited Paper Award

Assistant Professor Bacha Khan University Charsadda Pakistan

🌟 Dr. Zeeshan is an accomplished academic serving as an Assistant Professor in the Department of Mathematics and Statistics at Bacha Khan University, Charsadda, KP, Pakistan. With over 100 publications in high-impact journals and recognition among the top 2% of scientists globally by Stanford University, his expertise spans applied mathematics, fluid mechanics, and nanofluid dynamics. He has contributed significantly to advancing mathematical modeling and analysis, earning prestigious accolades, including a certificate for his highly cited research (2022–2024).

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Education

🎓 Dr. Zeeshan completed his academic journey with a robust foundation in mathematics and statistics, earning accolades for his contributions to applied research. His academic credentials have been pivotal in shaping his career as a thought leader in mathematical sciences.

Experience

💼 With years of academic and research experience, Dr. Zeeshan has built an impressive portfolio as an Assistant Professor and active researcher. He has been instrumental in fostering innovation in mathematics and interdisciplinary studies, contributing to consultancy projects, and serving on esteemed academic boards, including GSC and ASRB.

Research Interests

🔍 Dr. Zeeshan’s research focuses on applied mathematics, fluid mechanics, nanofluids, and hybrid nanofluid dynamics. His expertise extends to polymer coatings, wire coatings, and optical fiber technologies, with a strong emphasis on mathematical modeling, numerical solutions, and AI-driven innovations.

Awards

🏆 Dr. Zeeshan has earned global recognition for his contributions to science, including:

  • Certificate for one of the most cited papers (2022–2024).
  • Inclusion in the top 2% world scientists by Stanford University.
    His remarkable achievements underscore his influence and dedication to advancing mathematics and science.

Publications Top Notes:

📚 Dr. Zeeshan has authored over 100 high-impact journal articles, with notable works including:

Effects of Joule heating and viscous dissipation on magnetohydrodynamic boundary layer flow of Jeffrey nanofluid over a vertically stretching cylinder

Supervised neural networks learning algorithm for three dimensional hybrid nanofluid flow with radiative heat and mass fluxes

Cattaneo-christov heat flux model of 3D hall current involving biconvection nanofluidic flow with Darcy-Forchheimer law effect: Backpropagation neural networks approach

Numerical computation of 3D Brownian motion of thin film nanofluid flow of convective heat transfer over a stretchable rotating surface

Effect of thermal radiation and chemical reaction on non-Newtonian fluid through a vertically stretching porous plate with uniform suction