World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
32
Citations
8039
World Ranking
6187
National Ranking
2041

Overview

Vijay Devabhaktuni is affiliated with Illinois State University in the United States. Their research primarily spans the fields of Computer Science and Engineering, with significant contributions in artificial intelligence, electrical and electronic engineering, and aerospace engineering. The subfields where they have concentrated their work include Artificial Intelligence, Electrical and Electronic Engineering, Aerospace Engineering, Computer Vision and Pattern Recognition, and Computer Networks and Communications.

The main research topics covered by Vijay Devabhaktuni include:

  • Anomaly Detection Techniques and Applications
  • Microwave Engineering and Waveguides
  • Electromagnetic Compatibility and Noise Suppression
  • Robotics and Sensor-Based Localization
  • AI in cancer detection
  • UAV Applications and Optimization
  • Automated Road and Building Extraction

They have published extensively in venues such as:

  • IEEE Access
  • Applied Sciences
  • arXiv (Cornell University)
  • Remote Sensing of Environment
  • Journal of Hydrology

Notable recent papers include:

  • "U-Net and Its Variants for Medical Image Segmentation: A Review of Theory and Applications," 2021, IEEE Access
  • "Estimation of root zone soil moisture from ground and remotely sensed soil information with multisensor data fusion and automated machine learning," 2021, Remote Sensing of Environment
  • "Short- and mid-term forecasts of actual evapotranspiration with deep learning," 2022, Journal of Hydrology
  • "Recent advances and challenges in uncertainty visualization: a survey," 2021, Journal of Visualization
  • "Jamming Detection and Classification in OFDM-Based UAVs via Feature- and Spectrogram-Tailored Machine Learning," 2022, IEEE Access

The scientist frequently collaborates with multiple co-authors, including Khair Al Shamaileh, Sidike Paheding, Nahian Siddique, Quamar Niyaz, and Colin Elkin.

Best Publications

  • Smart meters for power grid: Challenges, issues, advantages and status

    Soma Shekara Sreenadh Reddy Depuru;Lingfeng Wang;Vijay Devabhaktuni

  • Smart meters for power grid — Challenges, issues, advantages and status

    Soma Shekara Sreenadh Reddy Depuru;Lingfeng Wang;Vijay Devabhaktuni;Nikhil Gudi

  • Solar energy: Trends and enabling technologies

    Vijay Devabhaktuni;Mansoor Alam;Soma Shekara Sreenadh Reddy Depuru;Robert C. Green

  • Advanced microwave modeling framework exploiting automatic model generation, knowledge neural networks, and space mapping

    V.K. Devabhaktuni;B. Chattaraj;M.C.E. Yagoub;Qi-Jun Zhang

  • Cyber security threat analysis and modeling of an unmanned aerial vehicle system

    Ahmad Y. Javaid;Weiqing Sun;Vijay K. Devabhaktuni;Mansoor Alam

  • Electricity theft: Overview, issues, prevention and a smart meter based approach to control theft

    Soma Shekara Sreenadh Reddy Depuru;Lingfeng Wang;Vijay Devabhaktuni

  • Advances on localization techniques for wireless sensor networks

    Tashnim J.S. Chowdhury;Colin Elkin;Vijay Devabhaktuni;Danda B. Rawat

  • A demand side management based simulation platform incorporating heuristic optimization for management of household appliances

    Nikhil Gudi;Lingfeng Wang;Vijay Devabhaktuni

  • Support vector machine based data classification for detection of electricity theft

    Soma Shekara Sreenadh Reddy Depuru;Lingfeng Wang;Vijay Devabhaktuni

  • Neural Networks for Microwave Modeling: Model Development Issues and Nonlinear Modeling Techniques

    Vijaya Kumar Devabhaktuni;Mustapha C. E. Yagoub;Yonghua Fang;Jianjun Xu

  • Estimation of root zone soil moisture from ground and remotely sensed soil information with multisensor data fusion and automated machine learning

    Ebrahim Babaeian;Sidike Paheding;Nahian Siddique;Vijay K. Devabhaktuni

  • A low-cost INS/GPS integration methodology based on random forest regression

    Srujana Adusumilli;Deepak Bhatt;Hong Wang;Prabir Bhattacharya

  • Neural Network Structures and Training Algorithms for RF and Microwave Applications

    Fang Wang;Vijaya K. Devabhaktuni;Changgeng Xi;Qi-Jun Zhang

  • A novel hybrid fusion algorithm to bridge the period of GPS outages using low-cost INS

    Deepak Bhatt;Priyanka Aggarwal;Vijay Devabhaktuni;Prabir Bhattacharya

  • High performance computing for detection of electricity theft

    Soma Shekara Sreenadh Reddy Depuru;Lingfeng Wang;Vijay Devabhaktuni;Robert C. Green

  • Fast, accurate, and fully automatic segmentation of the right ventricle in short-axis cardiac MRI

    Jordan Ringenberg;Makarand Deo;Vijay Devabhaktuni;Omer Berenfeld

  • Long-term frequency gradients during persistent atrial fibrillation in sheep are associated with stable sources in the left atrium

    David Filgueiras-Rama;Nicholas F. Price;Raphael P. Martins;Masatoshi Yamazaki

  • Demand response simulation implementing heuristic optimization for home energy management

    Nikhil Gudi;Lingfeng Wang;Vijay Devabhaktuni;Soma Shekara Sreenadh Reddy Depuru

  • A Near Real-Time Automatic Speaker Recognition Architecture for Voice-Based User Interface

    Parashar Dhakal;Praveen Damacharla;Ahmad Y. Javaid;Vijay Kumar Devabhaktuni

  • A conceptual design using harmonics to reduce pilfering of electricity

    Soma Shekara Sreenadh Reddy Depuru;Lingfeng Wang;Vijay Devabhaktuni

  • Measures and setbacks for controlling electricity theft

    Soma Shekara Sreenadh Reddy Depuru;Lingfeng Wang;Vijay Devabhaktuni;Nikhil Gudi

  • Adjustable Bandwidth Filter Design Based on Interdigital Capacitors

    Li Zhu;V. Devabhaktuni;Chunyan Wang;Ming Yu

  • Robust training of microwave neural models

    Vijay Kumar Devabhaktuni;Changgeng Xi;Fang Wang;Qi‐Jun Zhang

Frequent Co-Authors

Ming Yu
Ming Yu Chinese University of Hong Kong
Abdel-Razik Sebak
Abdel-Razik Sebak Concordia University
Amin Abbosh
Amin Abbosh University of Queensland

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Related Online Degrees & Career Pathways

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