Ramani Selvanambi

About

Dr. Ramani S has received his B.E. in Computer Science & Engineering from Madras University, Chennai, India, and M.E in Computer Science from Bharathidasan University, Tiruchirapalli, India, and a Ph.D. degree in Computer Science and Engineering from Vellore Institute of Technology Vellore, India. He is currently working as an Associate Professor in VIT, Vellore, India. His area of interest is Database Systems, Machine Learning, Cryptography, Nature Inspired Algorithm, Data Analytics. He is having 16 years of teaching experience and 1 year as Software Engineer in IT industry. He has published more papers in International Journals and conferences, book chapters, Patents. His ongoing research is on Prediction, Classification in healthcare applications and Machine Learning. He is a member of CSI, Senior Member IEEE.

Employment

• Vellore Institute of Technology University Associate Professor
  2024 - Present
• Vellore Institute of Technology University Assistant Professor Senior
  2014 - 2023
• Vellore Institute of Technology Assistant Professor
  2010 - 2014
• Sri Krishna Engineering College Lecturer
  2009 - 2010
• Cegonsoft Technical Consultant
  2009 - 2009
• Syncfusion Software Build Engineer
  2008 - 2009
• Krishnasamy College of Engineering and Technology Lecturer
  2005 - 2006

Education

• Vellore Institute of Technology Ph.D
  2011 - 2018
• Bharathidasan University M. Tech
  2006 - 2008
• Misrimal Navajee Munoth Jain Engineering College B.E
  2000 - 2004
• Jawahar Matric HSS XIIth
  1999 - 2000
• Seventh Day Adventist Matric HSS Xth Std
  1997 - 1998

Projects & Funding

Projects & funding information is unavailable.

Publications (25)

• Smart Multi- Crop Irrigation System using IOT
  International Journal of Innovative Technology and Exploring Engineering 2019
  +Save
• Face recognition using triplet loss function in keras
  International Journal of Engineering and Advanced Technology 2019
  +Save
• Healthcare: Prediction of Breast Cancer Stage Using Social Spider-Inspired Optimization Algorithm
  International Journal of E-Health and Medical Communications (IJEHMC) 2019
  +Save
• Assessment Analysis and Performance Prediction using M5 Rules
  International Journal of Recent Technology and Engineering (IJRTE) 2019
  +Save
• Cluster-based distributed architecture for prediction of student’s performance in higher education
  Cluster Computing 2018 DOI: 10.1007/s10586-017-1624-7
  +Save
• Exploration on predicting breast cancer stage with the aid of redesigned ANN incorporated with enhanced social spider optimisation technique
  International Journal of Intelligent Systems Technologies and Applications 2018 DOI: 10.1504/IJISTA.2018.095101
  +Save
• Intrusion Detection in Computer Networks using Lazy Learning Algorithm
  Procedia Computer Science 2018
  +Save
• Performance evaluation of association rule mining with enhanced Apriori algorithm incorporated with artificial bee colony optimization algorithm
  International Journal of Intelligent Engineering and Systems 2017 DOI: 10.22266/ijies2017.0430.07
  +Save
• Performance prediction using modified clustering techniques with fuzzy association rule mining approach for retail
  Intelligent Computing and Control (I2C2), 2017 International Conference on 2017
  +Save
• Pattern taxonomy mining for text categorization
  International Journal of Computer Applications 2017
  +Save