N E GODWIN PITHALIS

@marephraem.edu.in

Associate Professor/Mechanical Engineering
Mar Ephraem College of Engineering and technology

N E GODWIN PITHALIS


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https://researchid.co/godwinpithalis

EDUCATION

BE-MECHANICAL ENGINEERING
ME-COMPUTER INTEGRATED MANUFACTURING
PhD-Composite Materials

RESEARCH, TEACHING, or OTHER INTERESTS

Mechanical Engineering, Ceramics and Composites, Biomaterials
3

Scopus Publications

10

Scholar Citations

2

Scholar h-index

Scopus Publications

  • An Efficient Hybrid STO-MFDNN Approach for Induction Effect in Nanoparticle with Magneto-Convective Nanofluid Boundary Layer Flow
    S. L. Beschi Selvan, N. E. Godwin Pithalis, R. Leo Bright Singh, P. Anto Paulin Merinto
    International Journal of Computational Methods, 2025
    The accurate synthesis of bespoke design requires complicated chemical reactions and high temperature conditions in modern nanomaterial coating techniques. These flow processes are quite complicated, involving not just viscous behavior but also mass and heat transport. Magnetic nanoparticles are utilized by nanocoatings, which are under manipulation by external magnetic fields. Mathematical models offer a low-cost window into the fundamental properties of these coating dynamics processes. This paper proposes a hybrid approach for induction effect in nanoparticle with magneto-convective nanofluid boundary layer. The hybrid technique that is being proposed involves the simultaneous application of Siberian Tiger Optimization (STO) and Multi-Fidelity Deep Neural Network (MFDNN). Hence, it is named as STO-MFDNN technique. The primary goal of this proposed method is to enhance nanoparticle solid volume fraction and minimize error during validation. The proposed technique — STO approach is utilized to optimize the process parameter and the MFDNN approach is utilized to accurately predict the nanoparticle behavior. By then, the MATLAB platform has the proposed approach implemented, and the present method is used to calculate the execution. The proposed technique displays superior outcomes in all existing systems like Wild Horse Optimizer (WHO), Fertile Field Algorithm (FFA) Seagull Optimization Algorithm (SOA). The existing technique displays the errors of 0.24%, 0.21%, 0.18% and the proposed technique displays an error of 0.15% concluding low error when compared to the existing approach.
  • High-precision damage assessment in functionally graded composite plates
    N.E. Godwin Pithalis, P. Anto Paulin Merinto, S.L. Beschi Selvan, R. Leo Bright Singh
    Construction and Building Materials, 2025
  • Tensile and Flexural Behaviour of Basalt Composites with Silicon Carbide Fillers
    N. E. Godwin Pithalis, J. Bensam Raj, S. Sathish
    Silicon, 2022

RECENT SCHOLAR PUBLICATIONS

  • Enhancing mechanical and tribological behaviour of Al7075 hybrid composites reinforced with boron carbide and molybdenum disulphide
    PK Dinesh Kumar, SM Kennedy, K Amudhan, NE Godwin Pithalis
    Canadian Metallurgical Quarterly, 1-23 , 2026
    2026.0
  • Hybrid Method of GCN with CSF and Arma Filter for the Wind Turbine Damage Detection
    BSSLANGPLB Singh R.
    International Journal of Intelligent Engineering Informatics 14, (4) , 2026
    2026.0
  • Core Principles and Applications in Engineering Thermodynamics
    SVLBSRSLBSG Pithalis
    Publisher: , 2025
    2025.0
  • An Efficient Hybrid STO-MFDNN Approach for Induction Effect in Nanoparticle with Magneto-Convective Nanofluid Boundary Layer Flow
    SL Beschi Selvan, NE Godwin Pithalis, R Leo Bright Singh, ...
    International Journal of Computational Methods 22 (05), 2450069 , 2025
    2025.0
  • High-precision damage assessment in functionally graded composite plates
    NEG Pithalis, PAP Merinto, SLB Selvan, RLB Singh
    Construction and Building Materials 474, 141068 , 2025
    2025.0
    Citations: 2
  • Tensile and flexural behaviour of basalt composites with silicon carbide fillers
    NEG Pithalis, JB Raj, S Sathish
    Silicon 14 (4), 1559-1569 , 2022
    2022.0
    Citations: 8
  • Synthesis and characterization of basalt fiber polymer composites reinforced with silicon carbide filler
    GP NE
    Chennai , 0

MOST CITED SCHOLAR PUBLICATIONS

  • Tensile and flexural behaviour of basalt composites with silicon carbide fillers
    NEG Pithalis, JB Raj, S Sathish
    Silicon 14 (4), 1559-1569 , 2022
    2022.0
    Citations: 8
  • High-precision damage assessment in functionally graded composite plates
    NEG Pithalis, PAP Merinto, SLB Selvan, RLB Singh
    Construction and Building Materials 474, 141068 , 2025
    2025.0
    Citations: 2
  • Enhancing mechanical and tribological behaviour of Al7075 hybrid composites reinforced with boron carbide and molybdenum disulphide
    PK Dinesh Kumar, SM Kennedy, K Amudhan, NE Godwin Pithalis
    Canadian Metallurgical Quarterly, 1-23 , 2026
    2026.0
  • Hybrid Method of GCN with CSF and Arma Filter for the Wind Turbine Damage Detection
    BSSLANGPLB Singh R.
    International Journal of Intelligent Engineering Informatics 14, (4) , 2026
    2026.0
  • Core Principles and Applications in Engineering Thermodynamics
    SVLBSRSLBSG Pithalis
    Publisher: , 2025
    2025.0
  • An Efficient Hybrid STO-MFDNN Approach for Induction Effect in Nanoparticle with Magneto-Convective Nanofluid Boundary Layer Flow
    SL Beschi Selvan, NE Godwin Pithalis, R Leo Bright Singh, ...
    International Journal of Computational Methods 22 (05), 2450069 , 2025
    2025.0
  • Synthesis and characterization of basalt fiber polymer composites reinforced with silicon carbide filler
    GP NE
    Chennai , 0