Dr. Abhishek Kumar Mishra
IFTM University, Kalicharan Nigam Institute of Technology, Rajiv Gandhi Proudyogiki Vishwavidyalaya, ITM University
About
Dr. Abhishek Kumar Mishra working as a Professor in Department of Computer Science & Engineering , School of Computing Science & Applications in IFTM University, Moradabad, U.P. He completed MCA and M.Tech from RGPV Bhopal. He has been nearly two decades of experience in teaching and his areas of specializations are Machine Learning, Artificial Intelligence, Image Processing, Network security. He has published 8 patents and 40+ papers in International journals/ Conference proceedings. Dr. Mishra also supervised one candidate as PhD research scholar and published three books on machine learning. He has participated in several National Workshop, International Conferences and Technical Events. He is regularly invited to deliver lectures in various programmes for imparting skills in research methodology to students and research scholars.
Employment
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IFTM University Professor2024 - Present
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IFTM University Associate Professor2019 - 2024
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IFTM University Assistant Professor2007 - 2019
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Kalicharan Nigam Institute of Technology Lecturer2004 - 2005
Education
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IFTM University Ph.D.2011 - 2016
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Rajiv Gandhi Proudyogiki Vishwavidyalaya M.Tech(CT&A)2005 - 2007
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ITM University MCA2001 - 2004
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Bundelkhand University B.Sc1996 - 1999
Projects & Funding
Projects & funding information is unavailable.
Publications (17)
- Cryptography Security of Digital Signals using Golden Matrix with Recurrence Relations Save
- Transformer-based decoder of melanoma classification using hand-crafted texture feature fusion and Gray Wolf Optimization algorithm Save
- Machine-Learning Methods for Plant Leaf Disease for Improving Agricultural Production Save
- An Extensive Examination of Utilizing Big Data Analytics in Cancer Detection Techniques Save
- 5G Network Implementation Save
- Detection and categorization of diseases affecting plant leaves with the use of machine learning Save
- 5G Security Issues Challenges and Solutions Against DDoS Attacks:A Survey Save
- Modified CNN Model for Hand Gesture Recognition Using Sign Language Save
- Enhancing Sign Language Recognition: Leveraging EfficientNet-B0 with Transformer-based Decoding Save
- The effectiveness of machine learning and image processing in detecting plant leaf disease Save