About myself

Boda Sindhuja is an Assistant Professor in the Department of Computer Science and Engineering at GRIET. She completed her Master’s in Computer Science and Engineering from JNTU Hyderabad, with specialization and experience in Natural Language Processing and programming. Sindhuja has been actively involved in mentoring numerous mini and major projects for undergraduate students, fostering practical learning and innovation. She pioneered the implementation of the GLOB Project initiative at GRIET, promoting project-based learning and industry-oriented problem solving among students. Her research interests include Natural Language Processing, Artificial Intelligence, and Data Science, and she has published several research articles in these areas. Sindhuja has established herself as a distinguished academician, known for her innovative approach to teaching, strong administrative skills, and dedication to academic excellence. She is passionate about inspiring young minds by providing them with motivation and broad exposure to the latest advancements in emerging technologies.

☎ Contact Details
Boda Sindhuja
Assistant Professor
Department of Computer Science
Gokaraju Rangaraju Institute of Engineering and Technology
Bachupally, Hyderabad-500090
TELANGANA

      Curriculam Vitae

Educational Details

Masters of Technology in Computer Science and Engineering, India.
Bachelor of Technology in Computer Science and Engineering, India.

Professional Background

Presently working as Assistant Professor in CSE Department at Gokaraju Rangaraju Institute of Engineering and Technology (Autonomous) Bachupally,Hyderabad.

Administrative Experience

Accreditation Work
Mentoring students
Coordinator

Courses Taught

1.Digital Logic Design
2.Java Programming
3.Design and Analysis of Algorithms
4.Agile Methodologies
5.Digital Logic Design
6.Java Programming Lab

      Publications

International Journals

• Dysphonia-based Parkinson's Detection using Deep Learning and Ensemble Techniques SAV Vegesna, ST Ginnegolla, RR Yeruva, VR Arimanda, S Boda. International Conference on Advanced Computing and Communication, 2024
• A Survey on Cardiovascular Prediction using Variant Machine learning L Chandrika, K Madhavi, B Sindhuja, M Arshi E3S Web of Conferences 309, 01042
• The Working Analysis on Machine Learning Algorithms to Predict Diabetes and Breast Cancer S Bethu, V Krishna, B Sindhuja, DL Rohita, PG Krishna Computational Intelligence in Analytics and Information Systems, 227-243
• Facial Emotion Recognition to Examine Human Face Using Hybridization Method A Sravanthi, B Sindhuja, D Lakshmi Rohitha Proceedings of International Conference on Advances in Computer Engineering.
• Time Varying Community Structure extraction Scheme for Temporally Valid Multi Dimensional Large Scale Social Networks DKVR B.Sindhuja International Journal of Science, Engineering and Technology Research 4.

      Professional Work

Seminars and Symposiums

RESEARCH INTERESTS

1. Attended 6-day workshop on “ Machine Learning: Recent Trends Applications” from NIT Warangal, HYd

2. Attended 2-day workshop on “ Introduction to Machine Learning” from IIT-Kharagpur

3. Successfully completed an AICTE approved Faculty Development Programme(FDP101x) on Foundation Program in ICT for Education conducted by IIT Bombay from August 3, 2017 to September 7, 2017

4. Successfully completed an AICTE approved Faculty Development Programme(FDP201x) on Pedagogy for online and Blended Teaching- Learning Process conducted by IIT Bombay from September 14, 2017 to October 12, 2017

5. Attended Technical talk by Prof.Risto on Evolutionary Neural Networks on 14-12-2017 at GRIET-Hyd

6. Attended Hands on Workshop on Simulation of wireless sensor Networks Using ns-3 Simulator

7. AICTE-NITTT-Module 1: Orientation towards technical education and curriculum aspects through swayam

8. AICTE-NITTT-Module 5 : Technology Enabled Learning and life long self learning through swayam

9. Attended webinar AWS Technical Essentials conducted by AWS Academy

10. Attended a two day workshop on Online Tools & Software for Remote Teaching Learning Oraganized by UGC-HRDC-JNTUH

11. Artificial Intelligence for robotics conducted by CSE Department in GRIET, Hyderabad

12. FDP on IoT Applications through NITTTR

13. Attended FDP For one week On Emerging Research Trends in Computer Science at GRIET,Hyderabad

14. Attended A 5-Day National Level Hands-On workshop on Machine Learning with web Development in Association with codegnan IT Solutions

15. Attended ONLINE AICTE MARGDARSHAN FDP on Art of Writing Papers and Research Methodologies

16. FDP on Data Science conducted by ExcelR Collaborated with Telangana Academy

17.Attended a Power BI workshop conducted by the QM Office Master, enhancing her skills in data visualization and business intelligence tools.

18.Attended Workshop on AI TOOLS by be10x.

CERTIFICATION COURSES

1.Certified in “Introduction to Machine Learning”conducted by IIT Kharagpur
2.Certified in “Pedagogy For Online and Blended Teaching –learning Process”conducted by IIT Bombay
3.Certified in “Foundation Program in ICT for Education”conducted by IIT Bombay
4.Certified in “Microsoft Certified Educator for Technology Literacy for Educators”conducted by Microsoft Certified Educator
5.Certified in “Database Programming with SQL”conducted by Oracle
6.Certified in “Database design”conducted by Oracle
7.Certified as an AI Associate by Salesforce, demonstrating foundational expertise in artificial intelligence.
8.Completed the NEP 2020 Orientation & Sensitization Programme – 18 organized by UGC Malaviya Mission Teacher Training Programme (MM-TTP), in 2024.
9.Received a Course Completion Certificate in Computer Vision 101 from Infosys Springboard.
10.Earned a Course Completion Certificate in AWS-DGL-SS-AWS from Infosys Springboard.
11.Achieved a Course Completion Certificate in Java Spring Boot from Infosys Springboard.
12.Awarded a Course Completion Certificate in JAVA FULL STACK DEVELOPER by APSSDC.