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R. K. Agrawal

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
Bio_data_26_11_2024_0.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

Google Scholar: https://scholar.google.co.in/citations?user=w3HUzy-W9GYC&hl=en

Scopus: https://www.scopus.com/authid/detail.uri?authorId=35291228900

Orcid Id: https://orcid.org/0000-0003-3122-5096

Experience

Chief Coordinator Communication & Information Services, August, 2022 – till date

Dean, School of Engineering: January 2018-January, 2020

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

Teaching Experience: 30 years

Best Peer Reviewed Publications
  1. Agrawal R. K., (with D Kumar, Puneet Kumar), Fast and robust spatial fuzzy bounded k-plane clustering method for human brain MRI image segmentation, Applied Soft Computing, 133, 109939 (2023)
  2. Agrawal R. K., (with Baljeet Kaur, Swati Rathi), Enhanced Depression Detection from Speech using Quantum Whale Optimization Algorithm for Feature Selection, Computers in Biology and Medicine, 150, 106122, November (2022)
  3. Agrawal R. K., (with Baljeet Kaur, Parul Agarwal), Multi-objective particle swarm optimization with guided exploration for multimodal problems, Applied Soft Computing, 120, 108684, (2022)
  4. Agrawal R. K., (with D Kumar, Puneet Kumar), Bias-corrected intuitionistic fuzzy c-means with spatial neighborhood information approach for human brain MRI image segmentation, IEEE Transaction on Fuzzy Systems, 30 (3), 687-700 (2022)
  5. Agrawal R. K., (with Harsh Bhasin), Triploid genetic algorithm for convolutional neural network–based diagnosis of mild cognitive impairment, Alzheimer's & Dementia, (2022)
  6. Agrawal R. K., (with Swati Rathi, Baljeet Kaur), Selection of Relevant Visual Feature Sets for Enhanced Depression Detection using Incremental Linear Discriminant Analysis. Multimedia Tools Appl. 81(13), 17703-17727 (2022)
  7. Agrawal R. K., (with Baljeet Kaur, Parul Agarwal), Quantum inspired Particle Swarm Optimization with guided exploration for function optimization, Applied Soft Computing, 102, 107122, (2021)
  8. Agrawal R. K., (with Akshansh Gupta, Jyoti Singh Kirar, Andreu Perez Javier, Weiping Ding, Chin-Teng Lin, Mukesh Prasad), On the Utility of Power Spectral Techniques with Feature Selection Techniques for Effective Mental Task Classification in Noninvasive BCI, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51 (5), 3080-3092, (2021)
  9. Agrawal R. K., (with Baljeet Kaur, Surbhi Sharma), Quantum based Whale Optimization Algorithm for Wrapper Feature Selection, Applied Soft Computing, 89, 106092, (2020)
  10. 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)
Recent Peer Reviewed Journals/Books
  1. Agrawal R. K., (with Jyoti Singh Kirar), A combination of spectral graph theory and quantum genetic algorithm to find relevant set of electrodes for motor imagery classification, Applied Soft Computing, 97(Part B), 105519, (2020)
  2. Agrawal R. K., (with Akshansh Gupta, Jyoti Singh Kirar, Baljeet Kaur, Weiping Ding, Chin-Teng Lin, Andreu Perez Javier, Mukesh Prasad), A hierarchical meta-model for multi-class mental task based braincomputer interfaces, Neurocomputing, 389, 207-217, (2020)
  3. 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)
  4. 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)
  5. 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)
Patents (if any)

NA