Faculty Profile

P. LAXMI NARAYANA
rtcs160331@rgukt.ac.in
ORCID
Faculty Directory Department Page

P. LAXMI NARAYANA

ASSISTANT PROFESSOR

Computer Science and Engineering

Qualification M.Tech(NITK Surathkal)
Specialization Information Technology
Employee ID RTCS160331
Biography

I am an Assistant Professor at RGUKT Basar with 10 years of teaching experience, currently pursuing my Ph.D. at NIT Warangal. My primary research interests lie in Deep Learning and Generative AI. Throughout my academic career, I have taught various subjects, including NLP with Deep Learning, Deep Learning, Data Analytics, DevOps, Web Technologies, Data Structures, DBMS, and Object-Oriented Programming with Java.

Research Interests

Machine Learning, Deep Learning, Gen AI

Education
DegreeProgramme / Specialization University / Board
PG M.Tech NIT Surathkal
UG B.Tech University College of Engineering Kakathiya University
Others Inter BIE, A.P
Others SSC BSE, A.P
Work Experience
Institution / OrganizationDesignation FromTo
Market Research Operations private limited,India Jr programmer 2013 2015
Vignan Institute of Technology and Aeronautical engineering Assistant Professor 2015 2016
RGUKT, Basar Assistant Professor 2016
Journal Publications (3)
  1. Pondhu, Laxmi. Narayana., & Kummari, G. (2018). Performance Analysis of Machine Learning Algorithms for Gender Classification. 2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT). doi:10.1109/icicct.2018.8473192 10.1109/icicct.2018.8473192.
  2. Laxmi Narayana Pondhu, Govardhani Pondhu, “Tuning Convolution Neural networks for Hand Written Digit Recognition,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.8, pp.777-780, 2018.
  3. LAXMI NARAYANA PONDHU, REVYA NAIK V & RAJU BHUKYA,COVID-19 DETECTION USING DEEP LEARNING WITH TRANSFER LEARNING, International Journal of Computer Science Engineering and Information Technology Research (IJCSEITR) ISSN (P): 2249–6831; ISSN (E): 2249–7943 Vol. 12, Issue 1, Jun 2022, 13–18.
Achievements (3)
  1. Qualified for UGC NET Nov 2017
  2. Qualified for TS-SET 2017
  3. Qualified for GATE 2011 and 2012 Rank- 6932
Workshops & FDPs (5)
  1. Two Day workshop on IBM Bluemix Enablement, organized by IBM Software India/South Asia, Anurag Engineering College,Kodad, 2016.
  2. Five day FDP on C and Data Structures organized by TASK, TASK Hyderabad 21-25 August 2017.
  3. Five day FDP Train the trainer on Data Analytics, organized by RGUKT Basar CSE department, Basar during 3-7 April 2018
  4. One day work shop on Introduction to NPTEL local chapters, organized by IIT Madras at RGUKT Basar, 29 July 2017.
  5. One day work shop on Microsoft Office 365 platform, organized by Microsoft office 365, RGUKT BASAR on 29 February 2020.
Subjects Taught
  1. Web Technologies
  2. Computer Networks
  3. Data Base Management Systems
  4. Object Oriented Programming Through Java
  5. Deep Learning
  6. Advanced Python Programming
  7. Data Analytics
  8. Machine Learning and Deep Learning
  9. Data Structures
  10. Information Security
  11. Design Patterns
Projects Guided (1)
  1. 20
Administrative Experience
  1. Hostel warden, RGUKT BASAR, BH2 CSE Students(2017-2018)
  2. Anthahpragnya(Tech Fest) , Faculty Coordinator CSE Department(2020)
  3. Major Project Coordinator, Department of CSE 2019-2020
  4. Faculty Coordinator for Lab.Computer (2022- till date)
  5. IT superintendent, Examination Section (2019-2020)