/dr-sachin-balkrushna-jadhav
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Department of Electronics & Telecommunication Engineering

Faculty

Sachin Balkrushna Jadhav
Dr. Sachin Balkrushna JadhavAssociate Professor

Department of Electronics & Telecommunication Engineering

Experience 14 Years

mail

Ph.D. (Electronics Engineering)

  • Teaching 14 Years
  • Industry 0 Years
  • 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 Conference 11
  • National Conference 0
  • International Journal 02
  • National Journal 01

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.