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Dr Mrinal Bachute

Associate Professor, Department of electronics & Telecommunication Engineering · Symbiosis Institute of Technology, Symbiosis International University

https://researchid.co/mrinalbachute
@sitpune.edu.in
47Scopus Publications
1026Google Scholar Citations
12Google Scholar h-index
14Google Scholar i10-index

Research Interests

Image Processing, Artificial Intelligence Machine Learning,and Deep Learning

Biography

MRINAL R BACHUTE PhD (Electronics) ME(Digital Electronics) currently is Associate Professor and Head, Industry Connect at Symbiosis Institute of Technology, Pune Symbiosis International (Deemed University) Pune, Maharashtra, India. She has teaching experience of 20 years and has guided many Post graduate, graduate students for their projects. Her areas of specialization are Digital Image Processing, Machine Learning Artificial Intelligence and Adaptive Signal Processing. She has received research funding from university of Pune and AICTE QIP grants. She has presented her work at many international workshops and conferences and also worked as session chair. Her research papers have been published in reputed Journals and conferences at National and International Level. Dr Mrinal Bachute has delivered invited talks and expert sessions at various national and international level, including at Langara University, Vancouver Canada organized by IET Canada, at ZE Power Engineering, Vancover

Education

PhD (Electronics Engineering), M E (Digital Electronics Engineering), B.E (Electronics Engineering)

Recent Scopus Publications

  1. Automatic Diverse Epileptic Seizure Detection Model Using SWA-LeNet
    Circuits Systems and Signal Processing, 2026
  2. A Novel Machine Learning and Sensor-Driven System for Nondestructive Detection of Jaggery Adulteration
    IEEE Sensors Letters, 2025
  3. Non-Linear Control of Interleaved Boost Converter Using Disturbance Observer-Based Approach
    IEEE Access, 2025
  4. Multimodal Gas Detection Using E-Nose and Thermal Images: An Approach Utilizing SRGAN and Sparse Autoencoder
    Computers Materials and Continua, 2025
  5. A comprehensive approach for waste management with GAN-augmented classification
    Peerj Computer Science, 2025

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