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R. K. Agrawal

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_21_02_2023_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

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

A warm welcome to the modified and updated website of the Centre for East Asian Studies. The East Asian region has been at the forefront of several path-breaking changes since 1970s beginning with the redefining the development architecture with its State-led development model besides emerging as a major region in the global politics and a key hub of the sophisticated technologies. The Centre is one of the thirteen Centres of the School of International Studies, Jawaharlal Nehru University, New Delhi that provides a holistic understanding of the region.

Initially, established as a Centre for Chinese and Japanese Studies, it subsequently grew to include Korean Studies as well. At present there are eight faculty members in the Centre. Several distinguished faculty who have now retired include the late Prof. Gargi Dutt, Prof. P.A.N. Murthy, Prof. G.P. Deshpande, Dr. Nranarayan Das, Prof. R.R. Krishnan and Prof. K.V. Kesavan. Besides, Dr. Madhu Bhalla served at the Centre in Chinese Studies Programme during 1994-2006. In addition, Ms. Kamlesh Jain and Dr. M. M. Kunju served the Centre as the Documentation Officers in Chinese and Japanese Studies respectively.

The academic curriculum covers both modern and contemporary facets of East Asia as each scholar specializes in an area of his/her interest in the region. The integrated course involves two semesters of classes at the M. Phil programme and a dissertation for the M. Phil and a thesis for Ph. D programme respectively. The central objective is to impart an interdisciplinary knowledge and understanding of history, foreign policy, government and politics, society and culture and political economy of the respective areas. Students can explore new and emerging themes such as East Asian regionalism, the evolving East Asian Community, the rise of China, resurgence of Japan and the prospects for reunification of the Korean peninsula. Additionally, the Centre lays great emphasis on the building of language skills. The background of scholars includes mostly from the social science disciplines; History, Political Science, Economics, Sociology, International Relations and language.

Several students of the centre have been recipients of prestigious research fellowships awarded by Japan Foundation, Mombusho (Ministry of Education, Government of Japan), Saburo Okita Memorial Fellowship, Nippon Foundation, Korea Foundation, Nehru Memorial Fellowship, and Fellowship from the Chinese and Taiwanese Governments. Besides, students from Japan receive fellowship from the Indian Council of Cultural Relations.