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St.Joseph's Institute of Technology
       Staff’s


       Achievement













                                Dr. M.V. Karthikeyan, Professor from the Department of ECE, has
                                published  a  research  paper  titled  “Establishing  Ensemble

                                Boosting  Algorithm  Based  Models  with  SMOTE  to  Forecast  the
                                Initial Vulnerability of Gastric Cancer (GC)” on 17 February 2026.
         Dr. M.V. Karthikeyan
           ASSOCIATE PROFESSOR




                                 Dr.  B.  Antline  Nisha,  Associate  Professor  of  Mathematics,  has
                                 published  a  research  paper  titled  "Minimising  Delays  in
                                 M/M/1/K/N  Orbiting  Queue  through  Server  Vacations  and

                                 Adjustable Arrival Rates" in the prestigious Bol. Soc. Paran. Mat.
                                 (3s.) v. 2026 (44) 4 : 1–11. The paper, co-authored with Saradha

        Dr. B. Antline Nisha     M.  and  Pavithra  C.,  carries  the  E-ISSN  2175-1188  and
            ASSOCIATE PROFESSOR  doi:10.5269/bspm.80233.           This     work      explores      innovative
                                 queueing models to reduce delays through server vacations and

                                 adjustable arrival rates.



                                  Dr.  P.  Angelin  Kiruba,  Assistant  Professor  of  Mathematics,  has

                                  published a research paper titled "Fault-tolerant basis and fault-
                                  tolerant edge basis of three classes of French windmill graphs"

                                  in  the  prestigious  Ain  Shams  Engineering  Journal,  Volume  17
                                  (2026), Article 103922. The paper, co-authored with S. Prabhu, A.

        Dr. P. Angelin Kiruba     Davoodi, and Paul Manuel, explores the fault-tolerant metric and
             ASSISTANT PROFESSOR  edge  metric  dimensions  of  French  windmill  graphs,  offering

                                  valuable insights into network robustness.





















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