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 β€œStorage Solutions in Hadoop β€œin 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 β€œPython for Data Science”.
  2. One and Half Week FDP for β€œNBA Accreditation and Teaching – Learning in Engineering (NATE)”.
  3. One Week FDP for β€œData Science for Engineers”.
  4. One Week FDP for β€œOperating Systems Fundamentals”.
  5. One and Half Week FDP for β€œNatural Language Processing”.
  6. One and Half Week FDP for β€œMachine Learning for Engineering and Science Applications”.
  7. One and Half Week FDP for β€œIntroduction to Automata, Languages and Computation”.
  8. One Week FDP for β€œIntroduction to Machine Learning”.
  9. Extensive Vision AI 4 Program, The School of AI.
  10. One Week FDP on β€œAmazon Web Services” from 22-08-2022 to 27-08-2022.
  11. Half Week FDP on β€œData Analysis Using Statistical Learning Techniques” from 21-03-2022 to 26-03-2022.