Jayant Jagtap
Also known as: Dr. Jayant Jagtap
Symbiosis Skills and Professional University, NIMS University, Swami Ramanand Teerth Marathwada University Sub-Centre, Shri Guru Gobind Singhji Institute of Engineering and Technology
About
Jayant Jagtap received his BE in Electronics and Telecommunication Engineering at Dr. Babasaheb Ambedkar Marathwada University
University, Aurangabad, Maharashtra, India, in 2008, M.Tech in Electronics Engineering at Shri Guru Gobind Singhji Institute of Engineering and Technology, Nanded, Maharashtra, India, in 2011, and PhD in Electronics and Telecommunication Engineering at Swami Ramanand Tirth Marathwada University, Nanded, Maharashtra, India, in 2017. He is presently working as a Professor in the Department of AIML, School of CSIT, Symbiosis Skills and Professional University, Pune, Maharashtra, India. His research interests include digital image processing, pattern recognition, computer vision, medical image processing, machine learning, deep learning, and Artificial Intelligence.
Employment
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Symbiosis Skills and Professional University Professor2025 - Present
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NIMS University Associate Professor2023 - 2025
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Symbiosis International University Symbiosis Institute of Technology Assistant Professor2017 - 2023
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Bhivarabai Sawant College of Engineering and Research Assistant Professor2015 - 2016
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Zeal College of Engineering and Research Assistant Professor2012 - 2015
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Purandar College of Engineering and Managemant Research Lecturer2011 - 2012
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Shri Guru Gobind Singhji Institute of Engineering and Technology Teachning Assistant2009 - 2011
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Aditya Engineering College Lecturer2009 - 2009
Education
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Swami Ramanand Teerth Marathwada University Sub-Centre PhD2011 - 2017
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Shri Guru Gobind Singhji Institute of Engineering and Technology MTech2009 - 2011
Projects & Funding
Projects & funding information is unavailable.
Publications (50)
- Vacuum degassing and actions of lithium fluoride on microstructural and mechanical properties of LM25 alloy composite embedded with carbide/oxide nanoparticles Save
- Artificial intelligence in stroke rehabilitation: From acute care to long-term recovery Save
- Enhancing hand-drawn diagram recognition through the integration of machine learning and deep learning techniques Save
- Face Detection Technique for Challenging Conditions Using Multi-color Model Integration Save
- Improving Reliability and Data Management in Internet of Things Based Wireless Sensor Networks Save
- MLforGait: Using Machine Learning Models for Automatic Gait Recognition Without Subject Cooperation Save
- Machine learning frameworks to accurately predict coke reactivity index Save
- Multiphysics-Guided Design and On-Chip Integration of Ru-Pt Nanocomposites for Enhanced Thermoelectric-Plasmonic Energy Harvesting Save
- Quantum behaved binary gravitational search algorithm with random forest for twitter spammer detection Save
- Robust prediction of Coke Reactivity Index via machine learning methods Save