EAPCET & ECET CODE :

SISG

2

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siddhartha Taaluka Sidhvara

Siddhartha Institute of Technology & Sciences Engineering College is pleased to announce its Graduation Day Celebration

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

# Name Project / Description Year / Date Budget
1 DST 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
2 DNA Biological Sequences A Tool for finding the number of repeats and DNA Data optimization using DNA biological Sequences NIT Warangal
Sponsor -Technology Innovation Hub, IIT Bhilai.
2023 2 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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