Department of Electronics & Telecommunication Engineering

Faculty

International Student's Cell

Experience 14 Years

Ph.D. (Electronics Engineering)

Continuing Education Program: 15 days STTP course on “Fundamentals and Recent Advances in RF and microwave communication” at Indian Institute of Technology Kharagpur (IIT Kharagpur), 2009.
Two-Week ISTE STTP on, Effective Teaching- Learning of Computer Programming, at Indian Institute of Technology, Bombay (IIT Bombay), 2010.
2018 IEEE CIS Summer/ Winter School On “Deep Learning and Computational Intelligence”, Indian Institute of Technology Kanpur (IIT, Kanpur), India, December 2018.
Faculty Deployment Program (FDP) on, “Computer Vision and Image Processing”, E&ICT ACADEMY, Indian Institute of Technology Roorkee (IIT, Roorkee), India, December 2020.

Patents

“Automatic Plant Leaf Disease Diagnosis With machine Learning And Deep Convolutional Neural Networks”, Application Number: 202121003281, Intellectual Property India (Published).

Awards

Reviewing Award: Computer and Electronics in Agriculture (Elsevier-Publication). 2016 & 2019.
Rastriya Vidya Gaurav Gold Medal Award : Indian Solidarity Council New Delhi, 2017
PG –Teacher Recognition – Shivaji University Kolhapur-2015

er Recognition – Shivaji University Kolhapur-2015

INTERNATIONAL JOURNALS

S. B. Jadhav, Dr. V. R. Udupi, and Dr. S. B. Patil, “Identification of Pant diseases using convolutional neural networks” International Journal of Information Technology, Int. j. inf. tecnol. (2020), (SPRINGER)-BJIT, https://doi.org/10.1007/s41870- 020-00437-5.
S.B. Jadhav, Dr. V. R. Udupi and Dr. S. B. Patil, “Efficient framework for soybean leaf disease detection and classification using machine learning algorithm”, Image Processing and Capsule Networks [IPCN], AISC - Advances in Intelligent Systems and Computing, Vol. 1200, PP.718-729, (SPRINGER), DOI:  https://doi.org/10.1007/978-3-030-51859-2_65.

INTERNATIONAL CONFERENCES

S.B. Jadhav, Dr. V. R. Udupi, and Dr. S.B. Patil, “Efficient framework for soybean leaf disease detection and classification using machine learning algorithm”). In: Chen JZ., Tavares J., Shakya S., Iliyasu A. (eds), International Conference on Image Processing and Capsule Networks ICIPCN 2020, (SPRINGER) Bangkok, Thailand.
S.B. Jadhav, Dr. V. R. Udupi, and Dr. S.B. Patil, “ Classification of soybean diseases using pre-trained deep convolution neural networks”. In: Chen JZ., Tavares J., Shakya S., Iliyasu A. (eds), International Conference on Image Processing and Capsule Networks ICIPCN 2020, (SPRINGER) Bangkok, Thailand.