ATME College of Engineering
Dr Veeraprathap V

Dr Veeraprathap V

Associate Professor
NameDr Veeraprathap V
DesignationAssociate Professor
DepartmentElectronics & Communication Engineering
Qualification
  • Ph.D. in Wireless Sensor Networks From UVCE, Bangalore University
  • M. Tech in in Digital Electronics
  • B.E in Electronics & Communication Engineering
Qualification
  • Ph.D. in** Wireless Sensor Networks From UVCE, Bangalore University

  • M. Tech** in  in Digital Electronics

  • B.E** in Electronics & Communication Engineering

Areas of Interest
  • Wireless Sensor Networks, Signals & Systems, Digital Signal Processing, Digital System Design, Digital Electronics, Digital Communication.

Publication Details
  • Optimized Deep Learning Approach for Image Compression Using Compressed Sensing Technique with Convolutional Autoencoders

  • Puttegowda, V. Veeraprathap, S.S. Sequeira, B. Aruna, D.S. Sunil Kumar, K.V. Sudheesh

  • IEEE International Conference on Data Science and Network Security

  • Enhanced Machine Learning Models for Accurate Breast Cancer Mammogram Classification

  • Puttegowda, V. Veeraprathap, H.S.R. Kumar, K.V. Sudheesh

  • Optimized Image Compression Using Multiple Compressed Sensing Techniques

  • Puttegowda, B.A. Mohan, V. Veeraprathap, C.P. Vijay, K.V. Sudheesh

  • Optimized Machine Learning Techniques for Precise Breast Cancer Detection in Mammograms

  • Kiran, V. Veeraprathap, U. Rajashekhar, M. Mahantesh, K.V. Sudheesh

  • Advanced Machine Learning Techniques for Prognostic Analysis in Breast Cancer

  • Puttegowda, V. Ravi, V. Veeraprathap, P. Ravi, G.R. Yathiraj, D.S. Sunil Kumar

  • Automated Raga Recognition in Indian Classical Music Using Machine Learning Techniques

  • Humse, R.K. H.S., L.S. Ramachandra, G.R. Yathiraj, K. Puttegowda, V. Veeraprathap

  • Machine Learning Based 64-QAM Classification Techniques for Enhanced Optical Communication

  • Kiran, H.L. Gururaj, Francesco Flammini, V. Veeraprathap

  • Intermediate Learning-Based Attention Regulated Densenet for Diagnosis of Covid-19

  • Roshan Shetty, N. Prasad, D.V. Manjunatha

  • Kiran, H.L. Gururaj, Francesco Flammini, D.S. Sunil Kumar, V. Veeraprathap

  • Artificial Intelligence-Driven Forensic Analysis of Digital Images for Cybersecurity Investigations

  • B. Gunawan Widjaja, V. Veeraprathap, A. Abdul Khadar, T. Tshomo, H.A. Khayoon

  • Accessibility Book Scanner with Automatic Page Turner–A Review

  • D.K., L. Lal, S. H.M.

  • A Review: Sign Language Converter Using Hand Gloves

  • K., V. Veeraprathap, Shashank, Shashank Shetty

  • Machine Learning Models Based Crop Recommendation and Plant Disease Identification for Real-Time Application

  • D. Parameshachari, B.S. Balaji, D.S. Sunil Kumar, K.V. Sudheesh

  • 3D Modeling of MEMS Based Micro-Cantilever Vibration Sensor

  • V. Manjunatha, V. Veeraprathap, Bhagyashree K.

  • IoT-Based Electric Fencing Monitoring System in Agricultural Farm

  • Veeraprathap V., Mahak Narang, others

  • Design and Implementation of Stochastic Resource Algorithm for Interweave and Underlay Conditions in Cognitive Radio Networks

  • Veeraprathap V., others

  • Analysis of Hybrid Nano Composite PVA-PDMS Thin Films for Hydrophobic Applications

  • Swetha M.S., Guru Prasad B., V. Veeraprathap

  • Secured Data Communication for Lung Cancer Detection and Multi-Level Classification

  • Narendra Kumar, V. Veeraprathap, Sneha N., Anusha B. Pai A.

  • Software Defined Radio for WSN in Real-Time Healthcare Monitoring System

  • Narendra Kumar, V. Veeraprathap, Ashish Hegde, Supriya V. Kurpad

  • Medical Sensor Network Based Real-Time Activity and Healthcare Monitoring for Mute and Paralytic Persons

  • S. Harish, G. Narendra Kumar, V. Veeraprathap, Fazaluddeen D.M.

  • Enhanced Lung Cancer Detection and Multi-Level Classification of MRI with CT Images

  • Narendra Kumar, G.S. Harish, V. Veeraprathap, Fazaluddeen D.M.

  • Modified Efficient Protection of Palm Disaster from RPW Larvae Using WSNs

  • Narendra Kumar, V. Veeraprathap, Ramya B.K.

  • Lung Cancer Detection and Multi-Level Classification Using Discrete Wavelet Transform Approach

  • Narendra Kumar, V. Veeraprathap, G.S. Harish

  • SENSORCOMM–Design and Development of Medical Sensor Networks for Differently Abled Persons

  • Fazaluddeen D.M., G. Narendra Kumar, V. Veeraprathap

  • Network on Chip Design and Implementation on FPGA with Advanced Hardware and Networking Functionalities

  • Z. Kurian, V. Veeraprathap, M. Nagaraja

  • Network Interface Design and Implementation for NoC on FPGA with Advanced Hardware and Networking Functionalities

  • Veeraprathap, M. Nagaraja, M.Z. Kurian

MEMBERSHIP IN PROFESSIONAL BODIES
  • ISTE,IEI ,IAENG

  • HONOURS/AWARDS/ ACHIEVEMENTS**

FDPs/Conferences/Workshops/STTP/MOOC Certification
  1. 1.

    Five-day Faculty Development Program on “Cyber Security Awareness and Emerging Technologies “at ATMECE,Mysuru from 10th to 14th March 2025

  2. 2.

    International Conference on Data Science and Exploration in Artificial Intelligence (CODE AI 2025)At MAHE campus Dubai on 7th & 8th April 2025

  3. 3.

    5th National Conference on Electronics and Communication Engineering (NCIEC-2025) at East point Institute of Technology Bengaluru on 5th May 2025.

  4. 4.

    Three-day Workshop on “Patent Drafting, Filing & Interpretation” “at ATMECE, Mysuru from 12th to 14th June 2025.

PROPOSAL/FUNDING/PROJECT FINANCIAL ASSISTANCE
  • 3 lakhs VGST Funding for FDP.**

Roles and Responsibilities: Institute Level
  1. 1.

    NBA Criterion 5 Coordinator

  2. 2.

    NAAC 5 Criterion Coordinator

Roles and Responsibilities: Department Level
  1. 1.

    Internship Coordinator

  2. 2.

    Vertical Head

  3. 3.

    Internal Squad