Dhirendra Kumar

Department of Applied Mathematics

M.Sc. (BHU), M.Tech. (JNU), PhD (Pursuing from JNU)

Medical Image Segmentation; Signal Processing; Image Classification

ResearchGate Profile

July 2017 to August 2018, Banasthali Vidyapith, Banasthali, Rajasthan, India.
- Academic year 2017-18, B.Tech IT VII sem., IT 7.1 (Modeling and Simulation).
- Academic year 2017-18, B.Sc V sem., 4.1 (CoNum & SM) (Statistical Methods).
- Academic year 2017-18, B.Tech CSE VIII sem., CS 8.1 (Modeling and Simulation).
August 2018 to May 2019, Delhi Technological University, Delhi, India.
- Academic year 2018-19, B.Tech V sem., MC 305 (Operations Research).
- Academic year 2018-19, B.Tech I sem, MA 101 (Mathematics I).
- Academic year 2018-19, B.Tech VI sem., MC 312 (Artificial Intelligence).
- Academic year 2018-19, B.Tech IV sem., CS 262 (Algorithm Design and Analysis).
- Academic year 2018-19, B.Tech II sem., MC 102 (Mathematics II).
August 2019 to present, Delhi Technological University, Delhi, India.
- Academic year 2019-20, B.Tech V sem., MC 303 (Stochastic Process).
- Academic year 2019-20, B.Tech I sem, MA 101 (Mathematics I).

MA 101: Mathematics I

MC 303: Stochastic Processes

CS 262: Algorithm Design & Analysis

MC 318: Computer Graphics

MSMA 114: Fundamental of Computer

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, 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]

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Last Updated : 2020-08-31 17:00:50