Dr. Manoj B. Agrawal
Chameli Devi Group of Institutions, Acropolis Institute of Technology and Research Indore, SAGE University, Mewar University, IPS Academy, Rajiv Gandhi Proudyogiki Vishwavidyalaya
About
Dr. Manoj Agrawal is presently working as an Associate Professor in the department of Computer Science & Engineering, Chameli Devi Group of Institutions, Indore, Madhya Pradesh, India. He is having more than 20 years of experience involving teaching, research and other academic works. He received his doctorate degree in Computer Science & Engineering from Faculty of Engineering & Technology, Sage University, Indore, Madhya Pradesh, India. He received his Master's degree in Computer Applications (MCA) from Rajiv Gandhi Technical University, Bhopal in 2003 and M. Tech. in Computer Science and Engineering from Mewar University, Chittorgarh, India in 2016. He has published more than 20 research papers in various International Journals & Conferences. His research interest includes Machine Learning, Deep Learning, Neural Networks and Artificial Intelligence.
Employment
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Chameli Devi Group of Institutions Associate Professor2023 - Present
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Acropolis Institute of Technology and Research Indore Associate Professor2007 - 2023
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IPS Academy Lecturer2003 - 2007
Education
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SAGE University Ph.D.2019 - 2022
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Mewar University M.Tech. Computer Science & Engineering2013 - 2016
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Rajiv Gandhi Proudyogiki Vishwavidyalaya Master of Computer Applications2000 - 2003
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Devi Ahilya Vishwavidyalaya B.Sc. Computer Science1996 - 1999
Projects & Funding
Projects & funding information is unavailable.
Publications (5)
- A Method for Doctor's Handwritten Text Recognition by utilizing Deep learning and Ambiguity Handling Save
- Towards IT-Driven Water-Smart Governance in Indian Cities: A Case Study of Indore Save
- A novel hybrid approach for rice plant disease detection based on stacked autoencoder and convolutional neural network model Save
- A systematic review on artificial intelligence/deep learning applications and challenges to battle against covid-19 pandemic Save
- Rice plant diseases detection using convolutional neural networks Save