Ms. S.Bhavani M .Tech

Assistant Professor (C), Computer Science and Engineering

bhanucse@rguktn.ac.in

  • Computer Networks, Wireless Sensor Networks
  • Deep Learning
  • Natural Language Processing
  • Data Science
  • Machine Learning
  • 9 Years at RGUKT Nuzvid
  • Computer Networks
  • Formal Languages and Automata Theory
  • Compiler design
  • Problem Solving through C
  • Internet technologies
  • Database Management Systems
  • Operating Systems
  • Analysis of Algorithms
  • Organizer for 7-day workshop on Contemporary Areas in Computer Science & Engineering between 29th Dec 2017 4th Jan 2018 at RGUKT-Nuzvid
  • Attended 13 day workshop on Machine Learning applications using tensor flow organized by PVP Siddhartha Institute of Technology, Vijayawada
  • Attended 2 week online live industrial training/ Internship Program in Amazon Web services (AWS) organized by NSIC during 14/02/2023 to 28/02/2023
  • Attended a 30 days online training program on IOT project Development using Industry grade micro controller organized by Anand Techno creations during 28-06-2021 to 28-07-2021
  • Attended a 5 day online FDP on Block Chain Technology organized by APSSDC during 13/07/2023 to 17/07/2023
  • Attended a 5 day online FDP on Data Analytics organized by NIT-AP during 15.06/2020 to 19/06/2020
  • Attended a 5 day online FDP on Block chain Technology and its applications building on Etherium Platform organized by NIT-Raipur during 2-/07/2020 to 24/07/2020
  • Attended a 5 day online FDP on Optimization Techniques organized by NIT-AP during 21/09/2020 to 25/09/2020
  • Attended a 7 day FDP on Cyber Security organized by E & ICT during 5/10/2020 to 11/10/2020
  • Attended a 5 day FDP on Cyber Security organized by NIT WARANGAL during 19/12/2017 to 24/12/2017
  • Attended a 7 day workshop on Outcome Based Education and ICT Tools organized by E & ICT academy, NIT Warangal-RGUKT Nuzvid during 21/12/2018 to 27/12/2018
  • Attended Three days National event National Women's Parliament organized by Andhra Pradesh Legislature and Government of Andhra Pradesh (A.P) in association with MAEER's MIT school of Government, Pune on 10th, 11th and 12th February 2017 at PavitraSangamam, Amravati, Andhra Pradesh
  • Attended FDP on ICT based pedagogy organized by Rajiv Gandhi University of Knowledge Technologies in association with NIT WARANGAL during 21/12/2018 to 27/12/2018
  • Attended Technology enabled learning implementation policy development workshop organized by RGUKT NUZVID on 15th & 16 th March 2017
  • Attended 2 week training in the course Industrial Training in Data Analytics using Tableau from 29/11/2023 to 13/12/2023 organized by NSIC-Hyderabad.
  • Attended 2 day International Conference on Computational Intelligence, Networks and Security ICCINS-2023 during 22 and 23 December 2023organised bi LBRC
  • Natural Language Processing
  • Cryptography and Information security
  • Computer Networks
  • Deep learning

Journals

  1. S. Bhavani, Venkata Srinivasu, Rachna Behl,Shaik Johny Basha, T. Ammannamma Analysis of Covid-19 Pandemics Impact on Physical and Psychological Health of Humans published in Turkish Journal of Computer and Mathematics Education, Volume 12, Issue 10, Page Nos.: 4688-4697, April 2021 (DOI: 10.17762/turcomat.v12i10.5222), ISSN: 1309-4653 (SCOPUS Indexed)
  2. Self-regulated deepfakes detection mechanism using cart Journal of Advanced Research in Dynamical and Control Systems 2020 | journal-article DOI: 10.5373/JARDCS/V12I2/S20201116EID: 2-s2.0-85083302326Part of ISBN: 1943023X

Conferences

  1. Prsented the paper "A systematic Analysis of Deep Learning and Machine learning Methods for Identifying Apple Leaf Disease" at 4 th International conference on Electronics and Sustainable Communication Systems( ICESC- 2023)
  • Mrs. Samineni Bhavani chapter titled Machine Learning Algorithms for Data Science Beginners: A Comprehensive Review" has been published in the book titled An Introduction to Data Science with ISBN NO.: 978-93-5416-648-8 by Immortal Publications.
  • Faculty In-charge Central Library from 10-May-2022 to 02- November-2023
  • AP Skill Development Coordinator 23-January- 2020 to 07-October-2021
  • Project Coordinator for AY 2022-23 In Department of CSE