Department of Applied Mathematics
Phone:+91 8826916336
Email: dhirendrakumar@dtu.ac.in; dhirendrabhu08@gmail.com
Qualifications
M.Sc. (BHU), M.Tech. (JNU), PhD (JNU)
Areas of Interest
Medical Image Segmentation; Signal Processing; Image Classification
Teaching Resources
Awards
- CSIRâ€JRF Fellow June 2013
- UGCâ€JRF Fellow June 2014
Workshops and Short Term Courses
organiged
- Co-Coordinator of TEQIP III Sponsored One Week Short Term Training Program on Recent Trends in Security and Cryptography November 18 - 22, 2019, DTU.
Publications
Journal papers
- Gupta, Akshansh, and Dhirendra Kumar. "Fuzzy clustering-based feature extraction method for mental task classification." Brain informatics 4.2 (2017): 135-145.[Link]
- Kumar, Dhirendra, Hanuman Verma, Aparna Mehra and R. K. Agrawal. "A modified intuitionistic fuzzy c-means clustering approach to segment human brain MRI image." Multimedia Tools and Applications (2018): https://doi.org/10.1007/s11042-018-5954-0.[Link]
- Verma, Hanuman, Akshansh Gupta, and Dhirendra Kumar. "A modified intuitionistic fuzzy c-means algorithm incorporating hesitation degree." Pattern Recognition Letters (2019).[Link]
- Kumar, Dhirendra, R. K. Agrawal, and Hanuman Verma. "Kernel intuitionistic fuzzy entropy clustering for MRI image segmentation." Soft Computing (2019): 1-24.[Link]
- Gupta, A., Khan, R. U., Singh, V. K., Tanveer, M., Kumar, D., Chakraborti, A., & Pachori, R. B. (2020). A novel approach for classification of mental tasks using multiview ensemble learning (MEL). Neurocomputing.[Link]
- Kumar, Dhirendra, R. K. Agrawal, and Punit Kumar. "Bias-corrected intuitionistic fuzzy c-means with spatial neighborhood information approach for human brain MRI image segmentation." IEEE Transactions on Fuzzy Systems (2020). [Link]
- Kumar, Dhirendra, Inder Khatri, Aaryan Gupta, and Rachana Gusain. "Kernel picture fuzzy clustering with spatial neighborhood information for MRI image segmentation." Soft Computing (2022):
- Gupta, Akshansh, Dhirendra Kumar, Hanuman Verma, M. Tanveer, Andreu Perez Javier, Chin-Teng Lin, and Mukesh Prasad. "Recognition of multi-cognitive tasks from EEG signals using EMD methods." Neural Computing and Applications (2022): 1-18.
- Kumar, Puneet, Dhirendra Kumar, and Ramesh Kumar Agrawal. "Fuzzy k-plane clustering method with local spatial information for segmentation of human brain MRI image." Neural Computing and Applications 34, no. 6 (2022): 4855-4874.[Link]
Conference paper
- Kumar, Dhirendra, and Ramesh Kumar Agrawal. "Dimensionality Reduction of SIFT Descriptor Using Vector Decomposition for Image Classification." International Conference on Soft Computing and Pattern Recognition. Springer, Cham, 2016. [Link]
- Gupta, A., Kumar, D., & Chakraborti, A. (2018, April). Hurst Exponent as a New Ingredient to Parametric Feature Set for Mental Task Classification. In Information and Decision Sciences: Proceedings of the 6th International Conference on FICTA (Vol. 701, p. 129). Springer.[Link]
- Gupta, A., Kumar, D., Chakraborti, A., & Singh, V. K. (2019). Distinguishing Two Different Mental States of Human Thought Using Soft Computing Approaches. In Machine Intelligence and Signal Analysis (pp. 323-333). Springer, Singapore.[Link]
- Tanveer, M., Gupta, A., Kumar, D., Priyadarshini, S., Chakraborti, A., & Mallipeddi, R. (2018, October). Cognitive Task Classification Using Fuzzy Based Empirical Wavelet Transform. In 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 1761-1766). IEEE.[Link]
- Kumar, D., Agrawal, R. K., & Kirar, J. S. (2019, June). Intuitionistic Fuzzy Clustering Method with Spatial Information for MRI Image Segmentation. In 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (pp. 1-7). IEEE. [Link]
- Kumar, Puneet, Dhirendra Kumar, and Ramesh Kumar Agrawal. "Fuzzy Entropy k-Plane Clustering Method and Its Application to Medical Image Segmentation." In International Conference on Computer Vision and Image Processing, pp. 350-361. Springer, Cham, 2022.
- Javed, Ahmad, Jatin Khatri, and Dhirendra Kumar. "Prior Information Guided Fuzzy Clustering with Spatial Neighborhood Information for MRI Image Segmentation." In Soft Computing for Problem Solving, pp. 263-278. Springer, Singapore, 2021.
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Last Updated : 2023-03-31 17:38:41