Dr. Chandramma
Dr. Chandramma R
Head of Department, Computer Science and Engineering (Artificial Intelligence & Machine Learning)
Academic Qualifications
  • Ph.D. in Computer Science and Engineering, Visvesvaraya Technological University (VTU)
  • M.Tech in Computer Science and Engineering, VTU
  • B.E. in Computer Science and Engineering, Bangalore University
Professional Summary
Dr. Chandramma R has a robust academic and industry background with 23 years of teaching and 2 years of industry experience. She is a seasoned professional in academia with a strong focus on research excellence, having published five patents and three books. She has contributed significantly to various international conferences and journals, receiving a best presentation award for her research. Dr. Chandramma also serves as a reviewer for several journals and is a Life Member of IAENG.
Research Interests
  • Natural Language Processing
  • Machine Learning
  • Data Mining
  • Internet of Things (IoT)
  • Image Processing
Selected Publications
  • Refining neural network algorithms for accurate brain tumor classification in MRI imagery. link
  • Using Deep Learning Techniques to Evaluate Lung Cancer Using CT Images. link
  • Ornstein Uhlenbeck Cache Obliviousness Neural Congestion Control in Wireless Network for IOT Data Transmission. link
  • Importance of Artificial Intelligence in Neural Network: Speech Signal Segmentation Using K-Means Clustering with Kernelized Deep Belief Networks. link
  • Energy Aware Channel Allocation with Spectrum Sensing in Pilot Contamination Analysis for Cognitive Radio Networks. link
  • Employing Adbd convolutional KNN, Diagnosis of Irregular Driver Behavior. link
  • Soil Nutrient Analysis in Agricultural Crops. link
  • Automation of camel race by controlling DC motor speed using Blynk application through IoT. link
  • Number Plate Recognition Using OpenCV. link
  • Smart Containers for Dieticians: Enabling Efficient Nutritional Monitoring through IoT. link
  • Heart Disease Diagnosis using hybrid Machine Learning Algorithm. link
  • An efficient machine translation model for Dravidian language. link
  • Speech Controlled Smart Wheelchair using Regional Languages. link
  • Software System for Hydro-Meteorological Disaster Modelling and Simulation Study in HPC Platform. link
  • Fast and Accurate Parts of Speech Tagging for Kannada-Telugu Pair. link
Patents
  • Automated location identification system using text and image data. Patent No: 2021100154
  • Detecting Influencers in the Twitter Network Using Machine Learning. Publication Date: 23/01/2024, Number: L-141853/2024
  • Machine Learning Based Approach for Studying the Integration of Cloud Computing and Big Data Technology for Smart Generation. Publication Date: 24/02/2023, Patent No: 202341006041
  • Deep Learning Based Cybercrime Detection Technology. Publication Date: 23/09/2022, Patent No: 202241053218
  • ICS System: Intelligent Customer Service System Using Artificial Intelligence Programming. Publication Date: 10/07/2020, Patent No: 202041027322A
Awards & Recognitions
  • Best Presentation Award for Research Paper
Professional Memberships
  • Life Member of IAENG
Contact Information