Manoj Nagappan

Manoj Nagappan

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Personal Website

About

I am a PhD Research Scholar (Supervisor: Dr. Sathishkumar Murugesan, Research Assistant Professor) at the Department of Mathematics, SRM Institute of Science and Technology, Kattankulathur Campus, India. My research focuses on Control Theory, specifically exploring Optimal Control and Dynamical Systems through the lens of Clifford (Geometric) Algebra.

Experience

  1. Project Associate – I (Mar 2024 – May 2025)
    Department of Mathematics, SRM Institute of Science and Technology, Kattankulathur Campus, Chengalpattu, Tamil Nadu, India.
    Project: Design and analysis of fractional-order Clifford-valued neural networks and its application to image encryption.
    Funding: Science and Engineering Research Board (SERB), Department of Science and Technology, Government of India.
    Scheme: Empowerment and Equity Opportunities for Excellence in Science
    Grant No.: EEQ/2023/000513.
    Principal Investigator: Dr. Sriraman Ramalingam, Assistant Professor Senior Grade-1,
    Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Chennai, India.

Membership

  1. Student Member - Institute of Electrical and Electronics Engineers (IEEE).
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Research Interests

Publications

Journal Articles

  1. (2026) N. Manoj, R. Sriraman, “Projective synchronization of fractional-order BAM Clifford-valued delayed memristive neural networks: An inner product-based inequality,” Mathematical Methods in the Applied Sciences (IF: 1.8), pp. 1–39.
    BibTeX Link 
                @article{manoj2026new,
            title={Projective synchronization of fractional-order BAM Clifford-valued 
            delayed memristive neural networks: An inner product-based inequality},
            author={Manoj, N and Sriraman, R},
            journal={Mathematical Methods in the Applied Sciences},
            volume={},
            pages={},
            year={2026}
            }
  2. (2026) R. Sriraman, N. Manoj, “Finite-time stability of fractional-order delayed Clifford-valued neural networks via a novel non-separation approach,” Computational and Applied Mathematics(IF: 2.5), vol. 45, Article 265.
    BibTeX Link 
                @article{ramalingam2026finite,
            title={Finite-time stability of fractional-order delayed Clifford-valued neural networks via a novel non-separation approach},
            author={Ramalingam, Sriraman and Nagappan, Manoj},
            journal={Computational and Applied Mathematics},
            volume={45},
            number={7},
            pages={295},
            year={2026},
            publisher={Springer International Publishing Cham}
            }
  3. (2025) N. Manoj, R. Sriraman, R. Gurusamy, Yilun Shang, “Further results on global stability of Clifford-valued neural networks subject to time-varying delays,”
    Neurocomputing (IF: 6.5), vol. 651, Article 130886.
    BibTeX Link 
                @article{manoj2025further,
            title={Further results on global stability of Clifford-valued neural networks subject to time-varying delays},
            author={Manoj, N and Sriraman, R and Gurusamy, R and Shang, Yilun},
            journal={Neurocomputing},
            volume={651},
            pages={130886},
            year={2025},
            publisher={Elsevier}
            }
  4. (2025) R. Sriraman, N. Manoj, P. Agarwal, J. Vigo-Aguiar, S. Jain, “Event-triggered control for exponential synchronization of reaction–diffusion fractional-order Clifford-valued delayed neural networks and its application to image encryption,” Neurocomputing (IF: 6.5), vol. 648, Article 130604.
    BibTeX Link 
                @article{sriraman2025event,
            title={Event-triggered control for exponential synchronization of reaction--diffusion 
                fractional-order Clifford-valued delayed neural networks and its application to image encryption},
            author={Sriraman, R and Manoj, N and Agarwal, P and Vigo-Aguiar, J and Jain, Shilpi},
            journal={Neurocomputing},
            volume={648},
            pages={130604},
            year={2025},
            publisher={Elsevier}
            }
  5. (2025) R. Sriraman, N. Manoj, Pratap Anbalagan, “Decomposition method-based global Mittag-Leffler synchronization for fractional-order Clifford-valued neural networks with transmission delays and impulses,” Neural Networks (IF: 6.3), vol. 189, Article 107564.
    BibTeX Link 
                @article{sriraman2025decomposition,
            title={Decomposition method-based global Mittag-Leffler synchronization for fractional-order Clifford-valued neural networks with transmission delays and impulses},
            author={Sriraman, R and Manoj, N and Pratap, Anbalagan},
            journal={Neural Networks},
            volume={189},
            pages={107564},
            year={2025},
            publisher={Elsevier}
            }
  6. (2025) N. Manoj, R. Sriraman, R. Gurusamy, Yilun Shang, “Design and analysis of quaternion-valued neural networks for storing and retrieving color images,” Journal of Applied Mathematics and Computing (IF: 2.7), vol. 71, pp. 617-643.
    BibTeX Link 
                @article{manoj2025design,
            title={Design and analysis of quaternion-valued neural networks for storing and retrieving color images},
            author={Manoj, N and Sriraman, R and Gurusamy, R and Shang, Yilun},
            journal={Journal of Applied Mathematics and Computing},
            volume={71},
            pages={617--643},
            year={2025},
            publisher={Springer}
            }
  7. (2025) N. Manoj, R. Sriraman, “Global Mittag-Leffler stability and synchronization of fractional-order Clifford-valued delayed neural networks with reaction–diffusion terms and its application to image encryption,” Information Sciences (IF: 6.8), vol. 698, Article 121773.
    BibTeX Link 
                @article{manoj2025global,
            title={Global Mittag-Leffler stability and synchronization of fractional-order Clifford-valued delayed neural networks with reaction-diffusion terms and its application to image encryption},
            author={Manoj, N and Sriraman, R},
            journal={Information Sciences},
            volume={698},
            pages={121773},
            year={2025},
            publisher={Elsevier}
            }

Conference Papers

  1. (2026) N. Manoj, M. Sathishkumar, Yen-Chen Liu, “Complex-valued optimal control for three-phase voltage source converter model using policy iteration,” 2026 American Control Conference (ACC), New Orleans, Louisiana, USA. -- Accepted
    Presentation Schedule Link

Journal Reviewer

  1. Expert Systems With Applications
  2. Neurocomputing
  3. Scientific Reports

Contact

Email: manojnu04@gmail.com

Telegram: manojnagappan

Outside my research, I also enjoy travel and photography. Some of my visual work can be found on Pexels (Link).