Karbhari Kale

About

Brief Life Sketch:Dr. K. V. Kale is currently working as a Vice-Chancellor of Dr Babasaheb Ambedkar Technological University, Lonere, Raigad. He worked as a Professor, Program Coordinator of UGC SAP and DST FIST, in the Department of Computer Science and IT as well as Coordinator of University RUSA project &School of Computational and Physical Sciences. He worked as a Director, Board of College and University Development (BCUD) of Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, Maharashtra. He was Head of the Department of Computer Science and IT at University more than 9 years. He also served as Director of University Network & Information Center (UNIC) of Dr. BAMU. He has acted asPresident of ICT Section the Indian Science Congress Association, Kolkata in the year 2015-2016 under the Ministry of Science & Technology, Government of India. He is a pioneer of Multimodal Biometrics and Remote Sensing Data Analysis in the region and established & developed state-of-art Multimodal Biometrics Research Laboratory (MBRL) as a unique national Laboratory, RS and GIS, Pattern Recognition and as a center of excellence in teaching and research in biometrics and advance Image processing technology in university. He has more than 30years of experience in research, innovation and teaching at UG, PG and PhD level. He has published more than 350+National and International research articles, 06books and 23 book chapters. The current total impact factor of his research is more than 24, with h-index of 25 and i10-index of 57 and 8 Indian Patent 2- Australian patents (. He has given a number of plenary lectures, invited talks and Chaired Sessions at Symposia, workshop, national &international conferences. He has successfully supervised 36Ph.D., 08 M. Phil and 22M.Tech students and currently 07 PhD students, 06M.Phil. Students and 14M. Tech (CSE) scholars are working with him. His area of research includes Remote Sensing and GIS, Image Processing, Pattern Recognition, Computer Vision, Software Engineering, Artificial Intelligence, Neural Network, Big Data Analytic, Internet of Things(IoT) etc. He is Editor in Chief, Editors, Reviewers of various International, National Journals. Professor Kale has several academic honors and professional distinctions to his credits. He has served on various bodies and authorities of the university like Senate Member, Management Council Member, Academic Council Member, BOS & RRC’s chairman, BUTER Member, BCUD member, etc. time to time. He has also been working on various statutory authorities of other universities, in different capacities such as; Chairman and Member.

Employment

• Dr Babasaheb Ambedkar Technological University Vice-Chancellor
  2022 - Present

Education

• Dr. Babasaheb Ambedkar Marathwada University MCA(Engineering & Technology)
  1993 - 1995
• Dr. Babasaheb Ambedkar Marathwada University Ph.D.
  ? - 1997

Projects & Funding

Projects & funding information is unavailable.

Publications (113)

• UAV-Based Crop Health Analysis Using the Normalized Difference Vegetation Index (NDVI) Method
  2024 DOI: 10.1007/978-981-97-1326-4_14
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• Jowar (Sorghum) Crop Health Assessment Using Hyperspectral Data
  2021 DOI: 10.1109/INDISCON53343.2021.9582154
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• An innovative IoT based system for precision farming
  Computers and Electronics in Agriculture 2021 DOI: 10.1016/j.compag.2021.106291
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• Classification of complex environments using pixel level fusion of satellite data
  Multimedia Tools and Applications 2020 DOI: 10.1007/s11042-020-08978-4
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• Comparison of Neural Network Training Functions for Prediction of Outgoing Longwave Radiation over the Bay of Bengal
  Advances in Intelligent Systems and Computing 2020 DOI: 10.1007/978-981-32-9515-5_39
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• Estimation of soil nitrogen in agricultural regions by VNIR reflectance spectroscopy
  SN Applied Sciences 2020 DOI: 10.1007/s42452-020-03322-9
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• Ocean atmospheric processes over Bay of Bengal during two contrasting northeast monsoon onsets
  Indian Journal of Geo-Marine Sciences 2020
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• A spatial and spectral feature based approach for classification of crops using techniques based on GLCM and SVM
  Lecture Notes in Electrical Engineering 2019 DOI: 10.1007/978-981-13-1906-8_5
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• Accuracy assessment of classification on landsat-8 data for land cover and land use of an urban area by applying different image fusion techniques and varying training samples
  Lecture Notes in Electrical Engineering 2019 DOI: 10.1007/978-981-13-1906-8_21
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• Assessment of EO-1 hyperion imagery for crop discrimination using spectral analysis
  Lecture Notes in Electrical Engineering 2019 DOI: 10.1007/978-981-13-1906-8_52
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