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Mrs. A. Vijaya Lakshmi

Assistant Professor
vijaya.a@bvrit.ac.in

Teaching Experience:  17 years

BVRITN Employee ID: 804
JNTUH Registration ID:9348-160105-145219
AICTE Registration ID: 1-3397855476

  • Machine Learning
  • Deep Learning
  • Artificial Intelligence
  • Bioinformatics
  • CSI Lifetime Membership
  • Got 27th Rank in PGCET – M.Tech(CS) in 2007-2008, conducted by JNTUH, Andhra Pradesh.
  • Received Elite + Silver Certificate for the course Database Management System from NPTEL.
  • Qualified in UGC NET as Assistant Professor on 31-12-2019.
  • Recognized as NPTEL Believer and NPTEL Discipline Star.
  • Selected as a Reviewer and Technical program committee member for the International conference, COMS2 – 2022 by Ganpat University, Gujarat.
  • Selected as a Reviewer for the Springer Conference, ICACI 2023(International Conference on Advanced Computational Intelligence 2023) held at Maturi Venkata Subba Rao (MVSR) Engineering College during 15-16 December 2023.
  1. Published a paper on “Twitter sentiment analysis of COVID-19 vaccine in India” in Tianjin Daxue Xuebao (Ziran Kexue yu Gongcheng Jishu Ban)/ Journal of Tianjin University Science and Technology with ISSN (Online): 0493-2137, E-Publication: Online Open Access, Vol:54 Issue:10:2021, DOI 10.17605/OSF.IO/UCFK2, Scopus indexed journal in October 2021.
  2. Published a paper on ”Understand the Lack of role of software architect Using Software Architecture Expertise Areas” in International Journal of Scientific Research in Engineering(IJSRE),Vol-1,Issue-6, ISSN No: Page No’s:1-4, June 2017.
  3. Published a paper on ”Research Study on Quality of Software Product by using the Software Quality Assurance (SQA) and Hybrid Re-Engineering” International Journal of Scientific Research in Engineering(IJSRE),Vol-1,Issue-5, ISSN No: Page No’s:1-6, May 2017.
  4. Published a paper on Lung cancer detection using sequential CNN in International Research Journal of Modernization in Engineering Technology and Science ( Peer-Reviewed, Open Access, Fully Refereed International Journal ) Volume:04/Issue:05/May-2022, Impact Factor- 6.752.
  5. Published a paper on “Develop the quality of software product in the lack of domain knowledge by using software quality testing” International Journal of Sciences & Applied Research (IJSAR),Vol-4,Issue-5, ISSN NO:2394-2401 (Online). ISSN NO:2394-384X (Print)Page No’s:54-56, May 2017.

  6. Published a paper on Recognizing person based on ear features in International Research Journal of Modernization in Engineering Technology and Science(Peer-Reviewed, Open Access, Fully Refereed International Journal) Volume:04/Issue:05/May-2022, Impact Factor- 6.752

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  1. Published a Paper on Virtual Mouse with Hand Gestures Using Machine Learning in 2023 International Conference on Sustainable Communication Networks and Application (ICSCNA), DOI: 10.1109/ICSCNA58489.2023.10370381 on 01-01-2024.
  1. Published a Paper on “Plant Pests Detection Using Deep Learning Object Detection Techniques” in “2023 International Conference on Computer Science and Emerging Technologies (CSET)” in December 2023.
  1. Published a Paper on “Quality of service in cloud manufacturing systems ” in International Conference on Innovations in Computer Science & Engineering(ICICSE-2017) Sponsored by GNIT Campus ,Ibrahimpatnam, Hyd on July 2017-Springer and is accepted on 28th June 2017.
  1. Published a paper on “Identification of Breast Cancer Using RESNET152” in the International conference 2022 Fourth International Conference on Cognitive Computing and Information Processing (CCIP), https://ieeexplore.ieee.org/document/10058689, DOI:10.1109/CCIP57447.2022.10058689, ISBN: 978-1-6654-5649-4 in March 2023.
  1. Published a paper on “IoT and Cloud-based Face detection application design for Surveillance systems using Deep Learning” in the International conference ICCBDC 2022: 2022 6th International Conference on Cloud and Big Data Computing in October 2022,  https://dl.acm.org/doi/10.1145/3555962.3555971, DOI: https://dl.acm.org/doi/10.1145/3555962.3555971, ISBN: 978-1-4503-9657-8/22/08, ACM Digital Library.

 

  1. Published an Indian patent on IML-Traffic prediction-Intelligent traffic prediction using Machine Learning with application number 202041027655 on 31-07-2020
  2. Published an Australian Patent on Expected conditional clustered regressive deep multilayer perceived neural learning for IoT based cellular network traffic prediction with big data with Application number 2020104133 and was granted on 17-02-2021
  3. Published an Indian patent on The role of Artificial Intelligence in Brain Tumor
  4.  
  1. Received Elite + Silver Certificate for the course Database Management System from NPTEL.
  2. Received Elite Certificate for the course Machine Learning for Engineering and Science Applications from NPTEL.
  3. Received Elite Certificate for the course Operating Systems Fundamentals from
  4. Received Elite Certificate for the course Data Mining from NPTEL.
  5. Received Elite Certificate for the course Python for Data Science from NPTEL.
  6. Completed the 8-week elective course Data Science for Engineers from N
  7. Completed the 12-week course Introduction to algorithms and analysis from
  8. Completed the 12-week course Deep Learning from
  9. Completed the 12-week course Bioinformatics Algorithms and Applications from NPTEL.
  10. Received Elite Certificate for the course Machine Learning and Deep Learning – Fundamentals and Applications from NPTEL.
  • An active participant in the 6-days Faculty Development Program on ”Emotional Intelligence,Giving & Receiving Feedback,Result Orientation. Class room Impact, Planning & Organization and Professionalism” by Crossover Leadership Partners (Building Leaders at all Levels) at VEDIC, BVRIT Narsapur in 2017.
  • Participated in a 2-days Faculty Development Programme on “Cloud Computing” at Malla Reddy College of Engineering and Technology by IBM.
  • Attended a 5-Days FDP on “Data Science and Big Data Analytics”  from 05-08-2019 to 09-08-2019 conducted by E & ICT academy.
  • Attended a 5-Days FDP on Database Design and Programming with SQL” conducted by ORACLE from 10-02-2020 to 14-02-2020 at BVRIT, Narsapur.
  • Successfully completed the FDP courses “Database Management Systems (8 Weeks)” and “Machine Learning for Engineering and Science Applications (12 Weeks)” conducted by NPTEL.
  • Attended a 5-Days FDP on “Advances in Cloud Computing” organized by Department CSE, BVRIT, Narsapur association with E&ICT NIT Warangalfrom 29-03-2018 to 03-04-2018.
  • Attended a 2-Days National level workshop sponsored by CSIR on “Machine Learning for Human-Robot collaborate and Artificial Intelligence” at MRCET from 22-11-2019 to 23-11-2019.
  • Attended a 5-Days FDP on Database Programming with PL/SQL organized by TASK and ORACLE Academy from 16-11-2020 to 20-11-2020.
  • Attended a 5-Days FDP on IoT based Green Energy Systems organized by BVRIT, Narsapur from 14-9-2020 to 19-9-2020.
  • Successfully completed the one week online FDP on “Recent IT Technologies, Writing Papers and Funding Proposals”, organized by Dept. of Computer Science & Information Technology at RIT, under RIT-Center for Teaching and Learning in association with CSI and IEEE Bombay Section from 20-06-2020 to 24-06-2020.
  • Participated in a Six day online FDP on “ARTIFICIAL INTELLIGENCE AND DATA SCIENCE” from 11-07-2022 to 16-07-2022 organized by Department of Computer Science and Engineering , Aditya college of Engineering , Madanapalli.
  • Participated & successfully completed AICTE Training And Learning (ATAL) Academy Online FDP on “Data Sciences” from 02-12-2020 to 06-12-2020 at UNIVERSITY COLLEGE OF ENGINEERING (KAKATIYA UNIVERSITY).
  • Participated in a 5-day online FDP on “Artificial Intelligence and Machine Learning” from 03-06-2020 to 07-06-2020, organized by Department of Computer Science and Engineering, RISE Krishna Sai Gandhi group of Institutions, Ongole.
  • Participated in National level one week online FDP on “Python for Data Science” from 24-06-2020 to 28-06-2020, organized by Department of Computer Applications, MITS – Madanapalle.
  • Attended a 6-days AICTE ATAL Faculty Development Programme on Artificial Intelligence for Agriculture Innovation (AI4AI) organized at BVRIT Hyderabad college of engineering for women from 11-12-2023 to 16-12-2023.
  • Attended a 6-days AICTE ATAL Faculty Development Programme on Generative AI Transforming Education and Research organized at BVRIT Hyderabad college of engineering for women from 08-01-2024 to 13-01-2024.
  • Attended a 5-days FDP on “Mining Software Repositories” organized by Global Initiative of Academic Network (GIAN) and National Institute of Technology Warangal(NITW) during 22-11-2023 to 26-11-2023.
  • Attended a 5-days FDP on Software Test Automation with Selenium organized by TCS during 27-11-2023 and 01-12-2023.