Dr Rajesh Ramachandran
CHRIST(Deemed to be University), Sree Narayana Gurukulam College of Engineering, Vinayaka Missions University, Alagappa University, Naipunnya Institute of Management and Information Technology
About
Presently Dr.Rajesh R is working as Professor in the Department of Statistics and Data Science, CHRIST (Deemed to be University) Bangalore, India. Dr.Rajesh research interests are in the areas of Data Structures and Algorithms, Machine Learning, Big Data Analytics. He has published 55 papers in various Journals and Conferences. Dr. Rajesh is also serving as Managing Editor, Associate Editor, Editorial board member and Technical Committee member of various National and International Conferences and Journals. He has received Veenus International Foundation’s Outstanding Faculty award and Dewang Mehta Education Leadership Award to his credit.
Employment
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CHRIST(Deemed to be University) Professor2018 - Present
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Sree Narayana Gurukulam College of Engineering Professor2012 - 2018
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Naipunnya Institute of Management and Information Technology Head2007 - 2012
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Ministry of Education, Governement of Ethiopia Lecturer in IT2004 - 2007
Education
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Vinayaka Missions University PhD2005 - 2013
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Alagappa University MA[Personnel Management and Industrial Relations]2001 - 2004
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University of Madras Master of Computer Applications1995 - 1998
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Accel School of Computer Technology Diploma in Computer Maintenance1994 - 1995
Projects & Funding
Projects & funding information is unavailable.
Publications (28)
- Link stability - based optimal routing path for efficient data communication in MANET Save
- Securing RPL Networks with Enhanced Routing Efficiency with Congestion Prediction and Load Balancing Strategy Save
- Cataract Risk Factors Prediction Using Deep Leaning Models Save
- An Image Quality Selection and Effective Denoising on Retinal Images Using Hybrid Approaches Save
- Character recognition for Malayalam palm leaf manuscripts: An overview of techniques and challenges Save
- A Comprehensive Study on Computer-Aided Cataract Detection, Classification, and Management Using Artificial Intelligence Save
- A Framework for Integrating the Distributed Hash Table (DHT) with an Enhanced Bloom’s Filter in Manet Save
- Eye-Vision Net: Cataract Detection and Classification in Retinal and Slit Lamp Images using Deep Network Save
- Down syndrome detection using modified adaboost algorithm Save
- Down syndrome detection using modified ant colony optimization algorithm Save