APID Academic Profile Identity
Tirupathi Rao Padi

Tirupathi Rao Padi

Professor · Statistics
Author
APID
2518
ORCID
0000-0002-0402-120X
Scopus
57190740934
Google Scholar
https://scholar.google.com/citations?hl=en&user=rtLmUGkAAAAJ
Location
Puducherry, Puducherry (UTI), India
Expertise
Teaching, Research, Data Analytics
Areas of interest
Stochastic Modeling, Optimization Methods, Statistical Computing, Biostatistics, Data Envelopment Analysis
Member since
July 2023

Biography

Prof. Tirupathi Rao Padi is currently working with Pondicherry University. His Research areas of interest are Stochastic & Optimization Modeling; Bio-Statistics & Statistical Computing; SQC, BDA, DEA, etc. The academic distinctions under his credit include Rajendra Prasad Memorial Prize/Sampling Gold Medal received in 61st convocation of AU, Vizag in 1988; Best Research Paper Award at ICBDM in 2006, (iii) Best Applied Research Paper Award, IISA-ISPS 2010; World Championship – 2019 in OR (Stochastic Programming) awarded by IASR, USA; Fellow& LM, DoS, IASR, 2019, Outstanding Scientist Award-2021, International Science Awards, IASP, and FRSS, London, UK.
Completed three Research Projects of DST-SERB - MRP; U.G.C – MRP; Rotary Nethra International; Guided 9 Ph.D. & 3 M.Phil., member in 14 research forums like (IAPQR) , (IISA), (RMS), (KSA), (SSCA), (ISI), (IASC), (INSCA), (APSMS), (ISPS), (SREQOM) and (AMTI); Reviewer of about 27 research journals. Delivered 201 Invited talks, organized 42 academic and research events, Chaired 14 technical sessions, presented 115 research papers, administered around 69 official capacities: author/coauthor/editor for 13 Books/ Research Monograms, UG Text Books, etc., Published 88 Research Papers, Taught statistics courses for the programs like MCA; MBA; PGDBA; M. Plan.; M.Sc., Biotech. M.Sc., Bio-Inf.; M.Sc. Nursing; B.Sc.; M.Sc.; M.Sc. OR; M.Sc. CA; SAS; M.Sc. Biochem, MS Mol. Biol; M.Sc. QF, etc.

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Publications

  1. Stock Market Trend Analysis and Prediction using Markov Chain Approach in the Context of Indian Stock Market
  2. Stock price prediction using a Markov chain model: a study for TCS share values