Editor’s Profile

Name: Dr. Ravi Kumar Jatoth

Editor : Journal of VLSI Design Tools and Technology

Email:

Affiliation: National Institute of Technology, Warangal, Telangana, India 506004

Institutional Profile Link : https://wsdc.nitw.ac.in/facultynew/facultyprofile/id/16305

Professor in Department of Electronics & Communication Engineering at National Institute of Technology, Warangal, Telangana, India
My expertise are Signal Processing Algorithms, Machine Learning Algorithms, Nature Inspired Algorithms .Process Control Design

Recent Publications

  1. Kishor Kisan Ingle, Ravi Kumar Jatoth. Non-linear channel equalization using modified grasshopper optimization algorithm. Applied Soft Computing. In Press, Journal Pre-proof. Available online 2 August 2023, 110091. https://doi.org/10.1016/j.asoc.2023.110091
  2. Durga Prasad Chinta, Ravi Kumar Jatoth, Monalisa Biswal. Power system frequency profile improvement using satin bowerbird optimized tilt fractional cascade controller with reduced data based cost function. Journal of Engineering Research. Available online 14 June 2023, 100116. https://doi.org/10.1016/j.jer.2023.100116
  3. R. Kalyan, R. K. Jototh and R. Tiruveedhula, “A New Concatenated Method for Deep Curve Estimation Using Low Weight CNN for Low Light Image Enhancement,” 2023 2nd International Conference for Innovation in Technology (INOCON), Bangalore, India, 2023, pp. 1-6, doi: 10.1109/INOCON57975.2023.10101064
  4. D. Abhinay, S. V. Vighnesh, L. K. Durgam and R. K. Jatoth, “Real-time Classification of Vehicle Logos on Arduino Nano BLE using Edge Impulse,” 2023 4th International Conference on Signal Processing and Communication (ICSPC), Coimbatore, India, 2023, pp. 316-320, doi: 10.1109/ICSPC57692.2023.10126068
  5. T. Bhavya, R. Seggam and R. K. Jatoth, “Fertilizer Recommendation for Rice Crop based on NPK Nutrient deficiency using Deep Neural Networks and Random Forest Algorithm,” 2023 3rd International conference on Artificial Intelligence and Signal Processing (AISP), VIJAYAWADA, India, 2023, pp. 1-5, doi: 10.1109/AISP57993.2023.10134912