Marquee Tag

Ms. V. Srilakshmi

Assistant Professor
srilakshmi.v@bvrit.ac.in

PhD: Perusing Ph.D., NIT Warangal

M.Tech.: Computer Science & Engineering, VTU (Belgaum), 2012

B.E.: Computer Science & Engineering, VTU (Belgaum), 2007

Teaching Experience: 11 years 5 months

Contact Number: +91-8618785372

BVRITN Employee ID: 808

JNTUH Registration ID: 1424-170103-185635

AICTE Registration ID: 1 – 3377521569

  • Machine Learning Security
  • Deep Learning
  • Computer Vision and Image Processing
  • Speech and Natural Language Processing
  • Theory of Computation and Compilers
  • Qualified the UGC NET – July 2018 for eligibility of Assistant Professor.
  • Qualified the Karnataka SET – May 2018 for eligibility of Assistant Professor
  • Qualified the Telangana SET – July 2018 for eligibility of Assistant Professor.
  • An Unveiling FPGA Based Coding Technique to Detect and Correct the Faults by Matrix Algorithm, International Journal of Engineering & Technology, Vol. 7, Issue 3, pp. 412-415, 2018.
  • Energy Based Key Management Scheme for WSN’s, International Journal of Advanced Research in Management, Engineering and Technology, Vol. 8, Issue 7, pp. 139-144, 2016.
  • Deep learning Support Vector Machine Application Management for Prediction Binding Elements, 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2022, pp. 2493–2497, 2022.
  • Participated in International Conference ICMCECE – 16 and presented a paper on “Storage Solutions in Hadoop “in BTI, Bangalore on April 23, 2016.

S.No

Course

Duration

Month & Year

Grade

1

Python for Data Science

4 Weeks

April, 2022

Silver

2

NBA Accreditation and Teaching – Learning in Engineering (NATE)

12 Weeks

December, 2021

Elite

3

Data Science for Engineers

8 Weeks

December, 2019

Silver

4

Operating Systems Fundamentals

8 Weeks

December, 2019

Elite

5

Natural Language Processing

12 Weeks

December, 2019

Elite

6

Machine Learning for Engineering and Science Applications

12 Weeks

April, 2019

Elite

7

Introduction to Automata, Languages and Computation

12 Weeks

April, 2019

Silver

8

Programming, Data Structures and Algorithms using Python

8 Weeks

April, 2019

Pass

9

Design and Analysis of Algorithms

8 Weeks

April, 2019

Elite

10

Introduction to Machine Learning

8 Weeks

November, 2018

Elite

11

Programming, Data Structures and Algorithms using Python

8 Weeks

November, 2018

Pass

  1. Half Week FDP for “Python for Data Science”.
  2. One and Half Week FDP for “NBA Accreditation and Teaching – Learning in Engineering (NATE)”.
  3. One Week FDP for “Data Science for Engineers”.
  4. One Week FDP for “Operating Systems Fundamentals”.
  5. One and Half Week FDP for “Natural Language Processing”.
  6. One and Half Week FDP for “Machine Learning for Engineering and Science Applications”.
  7. One and Half Week FDP for “Introduction to Automata, Languages and Computation”.
  8. One Week FDP for “Introduction to Machine Learning”.
  9. Extensive Vision AI 4 Program, The School of AI.
  10. One Week FDP on “Amazon Web Services” from 22-08-2022 to 27-08-2022.
  11. Half Week FDP on “Data Analysis Using Statistical Learning Techniques” from 21-03-2022 to 26-03-2022.