Academics > Departments

Artificial Intelligence (Al)

Mr. S Anandh Kumar

Assistant Professor |

Ph.D: Mathematical Modeling, JNTUK (Pursuing)
P.G: M.Tech: Artificial Intelligence and Robotics, Andhra University, 2009
U.G: B.Sc(Maths, Physics, Computer Sciences), Andhra University, 2003

Teaching Experience: 18 Years
Research Experience: 8 years

SVECW ID: 5420
AICTE Registration ID: 1-732722016

  • Mathematical Modeling,
  • Machine Learning
  • Qualified APSET-2012
  • S. Anand Kumar, G. Sudheer, ” Influence of the oxide layer on the quality of bonding in adhesively bonded metallic structures by ultrasonic guided waves.”, International Journal of Adhesion and Adhesives(IJAA), Vol. 111, Sep-2021 (SCI & Scopus Indexed)
  • M.V. Subba Rao, S. Anand Kumar, G. Ananda Rao, “Dispersion of Solute In Saturated Porous Medium Through A Rotating Straight Pipe”, AEGAEUM journal, Vol. 9, No. 1, pp. 453-465, Feb – 2021.
  • S. Anand Kumar, Ch. Uma Swetha, G. Ananda Rao,” Hydro magnetic Flow and Heat Transfer in a Saturated Porous Medium between Two Parallel Porous Walls in a Rotating System”, Vol. 6, No.14,Jun-2018.
  • M.S.L.R. Mallika, S. Anand Kumar, G. Sudheer “Influence of The Interfacial Stiffness Constants On Lamb Wave Propagation in a Bi-Layer”, Vol. 28, No. 6, pp. 789-797,Aug – 2015.
  • S. Anand Kumar, G. Sudheer, “Lamb waves for the detection of degradation for the adhesive – adherend interlayers”, in International Conference on Advanced Joining Processes(AJP 2023), held on 19-20 October 2023 at Braga, Portugal.
  • Google Scholar Id: jpu9ddMAAAAJ
  • Scopus Id: 57244717400
  • ORCID Id: 0000-0001-7352-2000
  • Essential Mathematics for Machine Learning
  • Transform calculus and its application in Differential Equations
  • Participated in 5-day online course on “Data Analyst” from 19 – 23 June 2023 organized by APSSDC in collaboration with ExcelR

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Subjects Handling:

  • Theory of Computation for AI&DS II year II Semester students
  • Data Science using Python(Minors) for III year II Semester students
  • IT Workshop for AI&DS I year II Semester students

 

Student mentoring