Ms.Ravula Shashi Rekha
Assistant Professor
About myself
Mrs. R.Shashi Rekha, Assistant Professor of AIMLE, Completed her M Tech
from Sridevi Women’s Engineering College . She has completed her B Tech in Nishitha College of Engineering & Technology
She has published 3 papers.
☎ Contact Details
Ms.Ravula Shashi Rekha
Assistant Professor
Department of Artificial Intelligence and Machine Learning
Gokaraju Rangaraju Institute of Engineering and Technology
Bachupally, Hyderabad-500090
TELANGANA
Email: ravulashashi1015@gmail.com
JNTU-H ID: 8195-171207-124255
Mobile: +91-7013839978
Curriculam Vitae
Educational Details
1. M.Tech [CSE] – Sridevi Women’s Engineering College – 76.56% - 2012.
2. B.Tech [CSE] – Nishitha College of Engineering & Technology – 66.83% -2010.
Professional Background
1.Worked at “Malla Reddy College of Engineering & Technology” as an Assistant Professor from 16th June 2022.
2.Worked in “Sridevi Women’s Engineering College” as an Assistant Professor from 2nd March 2020 to 8th June 2022.
3.Worked in “DRK Institute of Science & Technology” as an Assistant Professor from 6thDecember 2017 to 9th May 2018.
4.Worked in “Vivekananda Institute of Technology & Science” as an Assistant Professor from May 25th 2014 to November 30th 2017.
Administrative Experience
1. Working as Emerging Technologies department CampX Coordinator in MRCET.
2. Been awarded a Certification on Machine Learning Foundation Certificate.
3. Served as class teacher for Batch [2021-2025] IOT.
4. Worked as Mentor for 67 students in guiding for their Mentor Books.
5. Worked as Application Development-II In charge for III-II CS Batch [2020-2024] students.
6. Worked as Application Development-I In charge for III-I Cyber Security Batch [2020-2024] students.
7. Worked on college website design in DRKIST.
8. Worked under NBA Criteria – 7 & NAAC Criteria – 3.
9. Guided 100+ undergraduate students for Mini and Major Projects.
10. Actively participated in Workshops, FDP’s.
11. Guided students for Project Expo – 2022 TECHNOPHILIA on 28th March organized by CSE department in Sridevi Women’s Engineering College.
12. Actively participated in 32 hours Hackathon 2K22 on 31st March & 1st April organized by Brain O Vision, India, Pvt-Ltd.
13.Been to ICRISAT for CSE Industrial visit on 19th April 2022.
Courses Taught
1.Machine Learning.
2. Artificial Intelligence.
3. Cyber Forensics.
4. Cyber Security.
5. Operating System.
6. Computer Organization and Architecture.
7. Database Management System.
8. Machine Learning Lab.
9. Artificial Intelligence Lab.
10. C programming Lab.
11. DBMS Lab.
12. TWS Lab.
13. OS Lab.
PUBLICATIONS
1. Published a paper in JST, titled “Privacy preserving location data publishing: a machine learning approach” in December 2023.
2. Published a paper in IJASEM, titled “Detection of phishing websites using machine learning” in March 2024.
3. Published a paper in IJMECE, titled “On Road Vehicle Breakdown Assistance” in March 2024.
CONFERENCE PROCEEDINGS INTERNATIONAL
1. Published a paper in IEEE through (ICRMKMATE) November 2023 Conference, titled “An Accurate Stock Prediction Using Ensemble Deep Learning Model” in January 2024.
2. Published a paper in IEEE through (ICETCI) August 2024 Conference, titled “Smart Garbage Classification Using Cutting Edge Technology (VGG-16)” in October 2024.
COURSE (WORKSHOP/FDP) ATTENDED
1. Participated in 6-day online FDP on “Advanced Problem-Solving using Machine Learning and Deep Learning” from 25th - 30th April 2022 organized by Department of CSE (AI&ML), Institute of Aeronautical Engineering.
2. Participated in one week FDP on “Ethical Hacking” from 8th-13th August 2022 conducted by Department of CSE, VNR Vignana Jyothi Institute of Engineering & Technology.
3. Participated in 1-week online FDP on “Amazon Web Services” from 22th - 27th August 2022 organized by SWEC in collaboration with Brain O vision Solution India Pvt Ltd & AICTE.
4. Participated in 5 days Online International Faculty Development Program on “Data Analytics using Power BI” from 20th March to 24th March 2023 organized by the Department of IT, G Narayanamma Institute of Technology and Science in collaboration with ExcelR.
5. Participated in One Week Faculty Development Programme on “Machine Learning in Big Data Applications & Security Challenges” from 24th April-29th April 2023 organized by Department of CSE.
6. Participated in 5 Day’s online International Faculty Development Program on “Data Analyst” from 19th June-23rd June 2023 organized by Andhra Pradesh State Skill Development Corporation (APSSDC).
7. Participated in 30 Hours International Faculty Development Program on “Deep Learning for NLP & Computer Vision” from 10th July-28th July 2023 organized by Chaitanya Bharathi of institute of Technology (CBIT) in collaboration with ExcelR.
8. Participated in 5 Day’s online International Faculty Development Program on “NLP and ChatGPT Applications” from 14th Aug-19th Aug 2023 organized by SECAB Institute of Engineering & Technology in collaboration with Excel R Edtech Pvt.ltd.
9. Participated in One Week National Level Faculty Development Program on “Cloud Infrastructure (AWS)” from 21st Aug-25th Aug 2023
10. Participated in One Week Faculty Development Program on “Microsoft Power BI Data Analyst Associate” conducted by ICT Academy on 5th Feb-9th Feb 2024 at Gokaraju Ranga Raju Institute of Engineering & Technology, Kukatpally.
Professional work
CERTIFICATIONS
1. Completed certification successfully in the Faculty Enablement Program (FEP) on “Machine Learning” offered by Infosys Springboard platform from 28th April- 30th April 2025.
2. Completed certification successfully in the Faculty Enablement Program (FEP) on “Quantum Algorithms & Cryptography” at KMIT offered by AICTE ACADEMY In online from 18th August- 23th August 2025.
WORKSHOPS
1. Completed certification successfully in the Faculty Enablement Program (FEP) on “Machine Learning” offered by Infosys Springboard platform from 28th April- 30th April 2025.
2. Completed certification successfully in the Faculty Enablement Program (FEP) on “Quantum Algorithms & Cryptography” at KMIT offered by AICTE ACADEMY In online from 18th August- 23th August 2025.


