Marquee Tag

Indumathi V

Assistant Professor
indumathi.v@bvrit.ac.in

Ph.D.: Pursuing , SRMIST Kattankulathur,Chennai

PG: M.E (CSE), ANNA University, 2015

UG: B. Tech (IT), ANNA University, 2008

Teaching Experience:  08 years 4 months

BVRITN Employee ID: BVRIT01212

JNTUH Registration ID: 4903-220127-144244

  1. Artificial Intelligence
  2. Machine Learning
  3. Deep Learning
  4. Big Data
  5. Computer Network
  6. Database Management System
  7. Data Mining
  • Received “Certificate of Achievement “for producing 100% result in the subject of IT6702-Data Mining and Data Warehousing in Anna Univ examination Nov/Dec 2017, from Mohammed Sathak A J College of Engineering.
  • Big Data Computing, 8 Week course and Aug-Oct 2023 and 96% Elite+Gold
  • An Innovative Deep Learning-Based Predictive Maintenance Model for Smart Automotive System, International Conference on Multi-Agent Systems for Collaborative Intelligence,2025
  • “Automatic Street Light Using LDR And IR”, Journal of Nonlinear Analysis and Optimization Vol. 13, Issue. 2 : 2022 ISSN : 1906-9685
  • “A Study On Big Data Analytics And Visualization Tools With Special Reference To data On Covid 19”, Recent Trends & Innovations in Science, Engineering and Social Sciences 2022
  • “User Preference Based Recommendation Method on MapReduce with Big Data Application” International Journal of Emerging Technology in Computer Science & Electronics (IJETCSE) ISSN: 0976-1353 Volume 13 Issue 4 –MARCH 2015.
  • “A Systematic Exploration Security Of Data Traffic In Distributed Firewall Network”, Recent Trends & Innovations in Science, Engineering and Social Sciences 2023
  • “User Personalized Search on Big Data” Application International Journal of Engineering Research & Technology (IJERT), Vol 3, Issue 10, October 2014.
  • “A Study on Big Data” International Journal of Engineering Research & Technology (IJERT)
    Vol 3, Issue 9, September 2014.
  1. An Innovative Deep Learning-Based Predictive Maintenance Model for Smart Automotive System”,2025 International Conference on Multi-Agent Systems for Collaborative Intelligence (ICMSCI). 
  2. “Hybrid RF-DNN-LSTM Ensemble for Short-Term Solar Energy Forecasting”, International Conference on Inventive Computation Technologies, ICICT 2025.
  3. “Probabilistic Solar Irradiance Prediction Using XGBoost and KDE”. International Conference on Research in Intelligent Computing in Engineering 2025
  4. “Environmental Monitoring in Agriculture Using Wireless Sensor Networks (WSNs): Challenges and Applications”, Proceedings of the Third International Conference on Cognitive and Intelligent Computing, Volume 1, pp 227–241.
  5. “Machine Learning Approaches for Sentiment Analysis in Social Media Using Soft Computing Techniques”, Proceedings of the Third International Conference on Cognitive and Intelligent Computing, Volume 1, pp 659–670
  6. “User Preference Based Recommendation Method on MapReduce with Big Data Applications” in the International Conference on Advances in Emerging Technology ICAET 2015 held at Jaya Engineering college ,Chennai
  7. “Fault Diagnosis in Wireless Sensor Networks (WSNs) Using Machine Learning (ML) “Approach Proceedings of the Third International Conference on Cognitive and Intelligent Computing, Volume 1, pp 733–746.
  8.  “Optimizing Energy Efficiency in Wireless Sensor Networks Using Machine Learning Techniques”, Proceedings of the Third International Conference on Cognitive and Intelligent Computing, Volume 1, pp 599–610.
  9.   “Data Mining and Machine Learning Techniques in Knowledge Discovery Proceedings of the Third International Conference on Cognitive and Intelligent Computing, Volume 1, pp 483–498
  • Big Data Computing, 8 Week course and Aug-Oct 2023 and 96% Gold and Elite
  1. One week FDP on AI Based Vehicular Network towards 6G and IoT: Deep Learning Approaches organized by School of Electronics Engineering, VIT Vellore.
  2. As a Mentor on Honeywell Student Empowerment Program organized by BVRIT Narsapur.
  3. One week FDP on GO Programming organized by Dept. of Computer Science and Engineering, CMRIT.
  4. 20 days FDP on Deep Learning for NLP and Computer Vision organized by Chaitanya Bharathi Institute of Technology in collaboration with ExcelR.
  5. Two weeks FDP on Big Data Computing organized by NPTEL-AICTE
  6. One week FDP on Robotic Process Automation organized by of Computer Science and Engineering (AI-ML) in association with CogniBotz Solutions CMRIT,Hyderabad.
  7. One week FDP on Automated Testing Tools (Selenium) organized by of Computer Science and Engineering, CMRIT, Hyderabad.
  8. 2 Days Workshop on Network Implementation and Security at Prathyusha Engineering College organized by Association for Computing Machinery-IIT Delhi and Network Bulls.
  9. Two weeks SDP on Distributed System Development using Web Technology at Jayaram college of Engineering and Technology, organized by dept. of Computer Science and Engineering with sponsored by AICTE.