ABDUL KAREEM
Yenepoya Institute of Technology, Moodlakatte Institute of Technology Kundapura, St. Peter's Institute of Higher Education and Research, Visvesvaraya Technological University, Kannur University
About
Abdul Kareem received B. Tech degree in Electrical and Electronics Engineering from Kannur University, India in 2003, M. Tech. in Microelectronics and Control Systems (ECE) from Visvesvaraya Technological University, Belgaum, India in 2008 and PhD in Fuzzy Logic systems from St. Peter’s University, Chennai, India in 2014. His areas of interest are Soft Computing, Control Systems, Microelectronics, Signal Processing etc. He can be contacted at email: [email protected]
Employment
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Yenepoya Institute of Technology Professor2025 - Present
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Moodlakatte Institute of Technology Kundapura Professor2017 - Present
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Bearys Institute of Technology Principal2016 - 2017
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Muslim Association College of Engineering Professor2015 - 2016
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Sahyadri College of Engineering and Management Professor2012 - 2015
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St Joseph Engineering College Assistant Professor2005 - 2012
Education
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St. Peter's Institute of Higher Education and Research Doctor of Philosophy2011 - 2014
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Visvesvaraya Technological University M.Tech2006 - 2008
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Kannur University B.Tech1999 - 2003
Projects & Funding
Projects & funding information is unavailable.
Publications (24)
- A novel fuzzy logic based sliding mode control scheme for non-linear systems Save
- An Internet of Things based mobile-controlled robot with emergency parking system Save
- Efficient wastewater management with optimized fuzzy sliding-mode control in smart urban planning Save
- Identification of Medicinal Plants and Related Fungal Diseases based on Deep Learning Model Save
- A Second-Order Sliding Mode Control Scheme With Fuzzy Logic-Based Online Sliding Surface Adjustment for Buck Converters Save
- A Novel Fuzzy Logic Based Operating System Scheduling Scheme Save
- A fuzzy logic scheme based on spread rate and population for pandemic vaccine allocation Save
- A survey of detecting leaf diseases using machine learning and deep learning in various crops Save
- Fuzzy logic based sliding surface adjustment of second-order sliding mode controllers Save
- Fuzzy logic for the management of vaccination during pandemics: a spread-rate-based approach Save