Satishkumar Chavan
Also known as: Faculty, Mentor, Researcher
Dwarkadas J. Sanghvi College of Engineering, Don Bosco Institute of Technology, Dr Babasaheb Ambedkar Technological University, KE Society's Rajarambapu Institute of Technology
0000-0003-2137-8849
About
Dr. Satishkumar S. Chavan received B.E. Degree in Electronics Engineering from Shivaji University, Kolhapur, Maharashtra, India in 1998 and M.Tech. Degree in Electronics and Telecommunication Engineering from Dr. Babasaheb Ambedkar Technological University, Lonere, Raigad, Maharashtra, India in 2004. He received Ph.D. in Electronics and Telecommunication from Swami Ramanand Teerth Marathwada University, Nanded, Maharashtra, India in April 2018. Currently, he is working as an Associate Professor in Department of Electronics and Telecommunication Engineering at SVKM's Dwarkadas J. Sanghvi College of Engineering, Vile Parle, Mumbai from February 2024. He worked as a Associate Professor (EXTC) and Dean of Academics at Don Bosco Institute of Technology, Kurla(W), Mumbai. His research interests include signal processing, computer vision, image processing, medical image analysis, neural network and deep learning.
Employment
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Dwarkadas J. Sanghvi College of Engineering Associate Professor2024 - Present
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Don Bosco Institute of Technology Associate Professor2018 - 2024
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The Bombay Salesian Society's Don Bosco Institute of Technology Assistant Professor2006 - 2018
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Don Bosco Institute of Technology Lecturer2004 - 2006
Education
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Dr Babasaheb Ambedkar Technological University M.Tech.2002 - 2004
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KE Society's Rajarambapu Institute of Technology B.E.1994 - 1998
Projects & Funding
Projects & funding information is unavailable.
Publications (25)
- Prognosis of ovarian cancer multi-level-type for given cohorts to recommend the likelihood of treatment outcome Save
- Karyotyping of human chromosomes in metaphase images using faster R‐CNN and inception models Save
- Age Progression and Regression using cycleGAN Save
- Breast cancer detection in mammograms using deep learning Save
- Deep multi-feature learning architecture for water body segmentation from satellite images Save
- Deep multi-feature learning architecture for water body segmentation from satellite images Save
- Fusion of multispectral and panchromatic images by integrating standard PCA with rotated wavelet transform Save
- Person identification based on voice recognition Save
- Comparative Analysis of Lung Segmentation Save
- Non-subsampled complex wavelet transform based medical image fusion Save