R.K. Agrawal

R.K. Agrawal
Professor
Centre/School/Special Centre: 
School of Computer & Systems Sciences
Room No: 
Lab-04
Off. Phone: 
011-26738734
Residence: 
09810115033
Email: 
rka@mail.jnu.ac.in , rkajnu@gmail.com
Personal Webpage: 
http://www.jnu.ac.in
Personal files: 
PDF icon rka_jnu.pdf
Qualifications: 

M. Tech, Indian Institute of Technology, Delhi
Ph. D, University of Delhi, Delhi

Areas of Interest/Specialization: 

Data Mining, Machine Learning, Pattern Recognition, Medical Imaging and Information Security

Experience: 

Dean, School of Engineering: January 2018-till date

Dean, School of Compuer & Systems Sciences: July 2015-July 2017

Teaching Experience: 27 years

 

 

 

Best Peer Reviewed Publications (upto 5): 
  1. Agrawal R. K., (with Navjot Singh, Rinki Arya), A novel approach for salient object detection using double-density dual-tree complex wavelet transform in conjunction with superpixel segmentation, Knowledge and Information Systems, 60 (1), 327-361,(2019)
  2. Agrawal R. K., (with Hanuman Verma, Aditi Sharan), An improved intuitionistic fuzzy c-means clustering algorithm incorporating local information for brain image segmentation. Applied Soft Computing, 46: 543-557 (2016)
  3. Agrawal R. K., (Rinki Arya, Navjot Singh), A novel hybrid approach for salient object detection using local and global saliency in frequency domain. Multimedia Tools Application,75(14): 8267-8287 (2016)
  4. Agrawal R. K., (with Akshansh Gupta, Baljeet Kaur), Performance Enhancement of Mental Task Classification Using EEG Signal: A Study of Multivariate Feature Selection Methods, Soft Computing, 19 (10), 2799-2812 (2015)
  5. Agrawal R. K., (with B Rana, A Juneja, M Saxena, S Gudwani, SS Kumaran, Madhuri Bihari), Regions-of-Interest based Automated Diagnosis of Parkinson’s Disease using T1-weighted MRI, Expert Systems with Applications, 42 (9), 4506 4516 (2015)
Recent Peer Reviewed Journals/Books (upto 3): 
  1. Agrawal R. K., (with Manju Sardana, Baljeet Kaur), An Incremental Feature Selection approach based on Scatter Matrices for Classification of Cancer Microarray data, International Journal of Computer Mathematics, 92(2), 277-295 (2015)
  2. Agrawal R. K., (with Navjot Singh, Rinki Arya), A novel approach to combine features for salient object detection using constrained particle swarm optimization. Pattern Recognition 47 (4), 1731-1739 (2014)
  3. Agrawal R. K., (with Ratnadip Adhikari), A Combination of Artificial Neural Network and Random Walk Models for Financial Time Series Forecasting, Neural Computing and Applications, 24 (6), 1441-1449 (2014)
Patents (if any): 

NA