Dr.Praveen Gugulothu

Department

Computer Science and Engineering

Qualification

Ph.D (NIT Warangal)

Currently pursuing

NA

Years of Experience (Total)

14

Designation

Vice Principal

Date Of Join

29/06/2025

No. of Publications :
(Scopus/SCI/SCIE/ESCI Journals)

07

No. of Publications
(UGC Care Journals)

1

  1. Praveen Gugulothu, and Rahu “Coot-Lion Optimized Deep learning Algorithm for COVID-19 Point Mutation Rate Prediction using Genome Sequences.” Computer Methods in Biomechanics and Biomedical Engineering (Published 2023, Indexing: SCIE , IF : 1.7 Publisher : Taylor & Francis)

https://pubmed.ncbi.nlm.nih.gov/37668061/

  1. Praveen Gugulothu, and Raju Bhukya. “DNA Sequence Clustering and ERSITGRU for Repeat Detection in COVID -19 Prediction”. Intelligent Decision Technologies Published 2025, Indexing: SCIE, IF: 69, Publisher: Sage IOS PRESS)
  2. Praveen Gugulothu , and Raju Bhukya.“Exploring Coronavirus Sequence Motifs through Convolutional Neural Network for Accurate Identification of Covid-19″ Computer Methods in Biomechanics and Biomedical Engineering.(Accepted 2024 February 2024, Indexing: SCIE, IF: 7, Publisher: Taylor & Francis).

 https://www.tandfonline.com/doi/full/
10.1080/10255842.2024.2404149

  1. Praveen Gugulothu, and Raju “Genome-Wide Analysis for Covid-19 detection for Tandem Repeat Error and substitution Error using Harris Hawks Optimization” Computers and Electrical Engineering .(Under Second Revision, Indexing: SCIE, IF: 4.3, Publisher: Elsevier).
  2. Praveen Gugulothu , Shekhar Katukoori , Swapna Manuparthi “Deep Learning based techniques for Covid-19 diagnosis based on Various Pattern features detection from early stages of diseases”, Network Computation in Neural Systems.(Accepted May 2024, Indexing: SCIE, IF: 9, Publisher: Taylor & Francis).
  1. Kishore Babu, Praveen Gugulothu , Raju Bhukya . ”Heart Abnormality Classification using ECG and PCG Recodrings with Novel PJM-DJRNN”, Expert Systems with Applications (Under Revision, Indexing: SCIE, IF: 1, Publisher: Elsevier).
  1. A non-sub-sampled shearlet transform-based deep learning sub band enhancement and fusion method for multi-modal images. Sudhakar Sengan1, PraveenGugulothu2, RoobaeaAlroobaea3, Julian L. Webber4, Abolfazl Mehbodniya4 & AmrYousef5,6

https://anapub.co.ke/journals/jmc/jmc_abstract/2025/
jmc_volume_05_issue_02/jmc_volume5_issue2_76.html

#NameProject / DescriptionYear / DateBudget
1DST Disease prediction based on various pattern frequency and extraction of the features by using convolutional neural networks -Completed NIT Warangal
Sponsor DST-SERB SRG.
2023 30 Lakhs
2DNA Biological SequencesA Tool for finding the number of repeats and DNA Data optimization using DNA biological Sequences NIT Warangal
Sponsor -Technology Innovation Hub, IIT Bhilai.
20232 Lakhs
  1. Graduate Aptitude Test in Engineering (GATE)

            Duration:2009-2011 Amount : Rs.10,000/PM

            Granting : All Indian Council for Technical Education(AICTE),New Delhi Qualified Secured 4460, 3852 AIR in GATE-2009 and GATE-2019 (Qualified)

  1. I Stood 1st Place in Playing Chess at University Level Tournaments 2007 at Nagarjuna
  2. I Stood 2nd Place in Playing Chess at College Level Tournaments 2019 at NIT-
  3. I Stood 1st Place Playing Chess at College Level Tournaments 2021 at NIT-Warangal.
  4. I Stood 1st Place Playing Chess at College Level Tournaments 2022 at NIT-Warangal.

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